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Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Senior Principal Consultant, AWS DataLake ! Responsibilities Having knowledge on DataLake on AWS services with exposure to creating External Tables and spark programming. The person shall be able to work on python programming. Writing effective and scalable Python codes for automations, data wrangling and ETL. Designing and implementing robust applications and work on Automations using python codes. Debugging applications to ensure low-latency and high-availability. Writing optimized custom SQL queries Experienced in team and client handling Having prowess in documentation related to systems, design, and delivery. Integrate user-facing elements into applications Having the knowledge of External Tables, Data Lake concepts. Able to do task allocation, collaborate on status exchanges and getting things to successful closure. Implement security and data protection solutions Must be capable of writing SQL queries for validating dashboard outputs Must be able to translate visual requirements into detailed technical specifications Well versed in handling Excel, CSV, text, json other unstructured file formats using python. Expertise in at least one popular Python framework (like Django, Flask or Pyramid) Good understanding and exposure on any Git, Bamboo, Confluence and Jira. Good in Dataframes and SQL ANSI using pandas. Team player, collaborative approach and excellent communication skills Qualifications we seek in you! Minimum Qualifications BE/B Tech/ MCA Excellent written and verbal communication skills Good knowledge of Python, Pyspark Preferred Qualifications/ Skills Strong ETL knowledge on any ETL tool – good to have. Good to have knowledge on AWS cloud and Snowflake. Having knowledge of PySpark is a plus. Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Senior Principal Consultant Primary Location India-Hyderabad Schedule Full-time Education Level Master's / Equivalent Job Posting Jul 1, 2025, 8:16:25 AM Unposting Date Ongoing Master Skills List Digital Job Category Full Time

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end-to-end, simplified solutions. The CISO organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. Security boundaries have changed, and identity is the new perimeter. With such a shift, there is a strong emphasis on carefully analyzing, and in many cases, hitting Refresh on the components that comprise the enterprise identity and access management platforms as we know them. Microsoft is seeking an identity and security focused engineer to join the CISO organization as we undergo the journey to ensure that the right identities get access to the right resources at the right time, protected each step of the way. With your experience in Microsoft Entra ID and Identity & Access Management technologies, you will help steer our own identity-centric digital transformation and support hundreds of thousands of employees as they seek to empower every person on the planet to accomplish more. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities Leverages end-to-end technical expertise in large-scale distributed systems' infrastructure, code, inter- and intra-service dependencies, and operations to enhance the reliability, performance, efficiency, latency, and scalability of services and products operating proactively and continuously at scale. Develops code, scripts, systems, and/or tools to automate complex and repetitive tasks, enhance operational efficiency. Empowers cross-service engineering teams to safely deploy changes to production at increased speed and monitors the effects of changes across systems, services, and products. Designs, implements, and manages Azure IAM solutions ensuring secure and efficient access to resources and applications. Develops IAM policies, procedures, and best practices aligned with organizational security requirements and compliance standards. Collaborates with internal stakeholders to translate business requirements into effective IAM solutions, providing engineering and operational support for a customer-centric Identity platform, with demonstrated expertise in Azure, Identity, and Access Management technologies, including SaaS, Single Sign-On, and Multifactor Authentication solutions. Partners with engineering teams and stakeholders understand requirements and translate them into actionable projects embodying SRE principles and efficient technical solutions. Qualifications 5 years of expert-level knowledge on identity technologies including Microsoft Entra IDAzure Active Directory, Active Directory, Federation Services, and Credential management, with proven experience in large-scale Identity management. Proven experience in automation using Azure technologies/platform and/or strong proficiency in PowerShell/Scripting. Experience in leveraging AI technologies to solve problems will be an added advantage, Demonstrated experience in supporting engineering and Multi-Factor Authentication, with a focus on maintaining Live Site operations and delivering exceptional customer service. Extensive troubleshooting and debugging experience, coupled with the ability to understand and reason about interactions between complex systems. Solid understanding of monitoring, alerting, and observability philosophies and best practices, along with the ability to analyze, decompose, design, and integrate systems or system architectures. Collaborative mindset with the ability to exercise cross-team cooperation and influence, while maintaining empathy for customers and partners and keeping a higher-level perspective. Familiarity with Agile, SDL & SRE principles, Phish resistant certificate-based authentication, and Microsoft Entra ID Multi-Factor Authentication solutions such as Microsoft Authenticator app, Windows Hello for Business, FIDO2 security key, OATH hardware/software token. Experience with Windows Conditional Access policies and multifactor authentication, the ability to analyze problems and make appropriate decisions quickly, drive large, complex programs and solutions, and possess excellent interpersonal and dynamic group skills, along with strong written & verbal communication and presentation abilities. Preferred qualifications: Familiarity with on-prem identity technologies like Active Directory, Microsoft Identity Manager (MIM), GPOs Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

We are seeking a highly skilled Senior IT Executive to manage and maintain the end-to-end IT infrastructure of our organization. This role demands hands-on experience with domain environments, firewall policies, VOIP configuration, softphone management, and cloud technologies (AWS/Azure), along with excellent problem-solving skills to ensure maximum uptime, user satisfaction, and secure IT operations. Infrastructure & End-User Support Manage and troubleshoot Windows-based desktops/laptops, printers, scanners, network drives, and shared resources. Perform OS installation, driver updates, BIOS configuration, and image deployment. Maintain uptime, performance, and availability of all IT assets. Active Directory & Domain Administration Manage users, groups, and OUs in Active Directory. Apply Group Policies (GPOs) for different departments and maintain access controls. Monitor login issues, account lockouts, and password policies. VOIP & Communication Setup Install, configure, and support softphones (Zoiper/3CX) for remote and onsite staff. Manage VOIP settings, SIP credentials, and troubleshoot call quality and network latency issues. Firewall, Network & Security Configure firewall policies (FortiGate/SonicWall or equivalent) to control web traffic and secure the network. Monitor logs, VPN tunnels, and set up port forwarding and remote access. Assist in network segmentation (VLAN) and endpoint protection measures. Cloud & Email Platform Provision and manage VMs, storage, backups, and user roles in AWS/Azure cloud environments. Support business users with Outlook 365 / Gmail / G Suite setup, migration, and troubleshooting. Handle domain DNS records, SSL renewals, and email security best practices. Monitoring & Analytics Configure access for Google Analytics, Google My Business, Tag Manager, and other web platforms. Collaborate with marketing teams to maintain system access and platform integration. IT Asset & Inventory Management Maintain updated records of hardware/software, licensing, and handover forms. Track warranty, AMC/renewal timelines, and vendor coordination logs. Required Skills: Strong knowledge of Windows OS, Active Directory, and GPO. Hands-on experience with softphones, SIP setup, and VOIP troubleshooting. Experience in configuring and managing firewalls, switches, routers. Familiarity with AWS/Azure: EC2, IAM, VNet, S3, backups. Proficiency in Google Sheets, Excel, and documentation best practices. Exposure to supporting marketing platforms (Meta, Analytics, etc.) is a plus. Eligibility Criteria: Minimum 3 years of experience in an IT Admin/System Support/Network Engineer role. Certifications such as CCNA, MCSA, MCSE, AWS/Azure Fundamentals are preferred. Strong communication skills and ability to support multiple departments. Self-driven and ready to handle urgent tasks or work in early shifts. Job Types: Full-time, Permanent Pay: ₹25,000.00 - ₹35,000.00 per month Benefits: Provident Fund Shift: Fixed shift Morning shift Work Location: In person

Locations : Boston | Canary Wharf | Gurgaon Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do The Director – Cloud Connectivity is responsible for defining, engineering, and operating BCG’s global cloud networking architecture across AWS, Azure, Google Cloud, and Alibaba Cloud. This role ensures consistent, reliable, and secure connectivity for all workloads, services, and users across the multi-cloud landscape. Leveraging SRE principles, automation, and observability, the Cloud Connectivity Director will drive a scalable, self-service-first experience while working closely with the broader network and cloud platform teams. Key Responsibilities: Cloud Network Strategy & Architecture: Define and maintain the global cloud connectivity strategy spanning AWS, Azure, Google, and Alibaba. Architect scalable and secure interconnects, cloud-to-cloud routing, and hybrid connectivity (on-prem to cloud). Drive standardization of network patterns, segmentation, and routing architectures across all cloud environments. Embed SRE and DevOps principles into cloud network architecture and operations. Engineering, Automation & Self-Service: Lead development of automated network provisioning pipelines using Infrastructure as Code (IaC). Enable self-service network setup and changes for application and platform teams. Implement policy-as-code frameworks for routing, firewalling, and access control. Partner with platform engineering teams to integrate network services into CI/CD workflows. Observability & Operational Reliability: Establish deep observability into cloud network paths, health indicators, and latency measurements. Apply SRE practices to ensure uptime, fast incident response, and continuous improvement. Drive performance optimization and root cause analysis through telemetry, analytics, and runbooks. Define and monitor SLAs, SLOs, and KPIs related to cloud connectivity experience. Security, Compliance & Governance: Ensure secure design and enforcement of network segmentation, firewall rules, and encryption policies. Collaborate with ISRM, cloud, and infrastructure teams to maintain compliance and risk posture. Operationalize zero-trust principles within the cloud network design. Collaboration & Stakeholder Engagement: Work closely with network, cloud platform, security, and architecture teams to ensure alignment and consistency. Partner with product and engineering teams to understand and meet workload-specific connectivity needs. Act as a subject matter expert in cloud connectivity across all business units and initiatives. Leadership & Team Development: Lead a global team responsible for cloud network architecture, engineering, and operations. Foster a high-performance culture focused on innovation, automation, and service excellence. Promote knowledge sharing and enablement across cloud and infrastructure domains. What You'll Bring Required Qualifications: 12+ years of experience in cloud or enterprise networking, with deep cloud connectivity expertise. Proven hands-on experience with AWS, Azure, Google Cloud, and Alibaba networking services. Strong understanding of BGP, DNS, VPC/VNet peering, private link, VPN, and transit gateway solutions. Expertise in Infrastructure as Code (e.g., Terraform, CloudFormation) and network automation. Demonstrated success implementing SRE principles and observability in large-scale environments. Preferred Qualifications: Certifications such as AWS Advanced Networking, Google Cloud Network Engineer, Azure Network Engineer Associate, or equivalent. Familiarity with service mesh, API gateways, and microservices communication patterns. Experience with global connectivity strategies for a highly distributed workforce and cloud footprint. Who You'll Work With Work Environment & Additional Information: Hybrid or on-site work model. Occasional travel for collaboration, vendor management, or strategy workshops. Must thrive in a fast-paced, highly technical, and cross-functional environment. The Director – Cloud Connectivity plays a foundational role in enabling BCG’s modern digital operations through secure, observable, and fully automated cloud networking. This leader ensures every connection—from cloud to cloud, region to region, and service to service—is reliable, performant, and built to scale with business demand. Additional info Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below. The base salary range for this role is $181,000.00 - $221,000.00 This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness. In addition to your base salary, your total compensation will include a bonus of up to 30% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years. All of our plans provide best in class coverage: Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs Dental coverage, including up to $5,000 in orthodontia benefits Vision insurance with coverage for both glasses and contact lenses annually Reimbursement for gym memberships and other fitness activities Fully vested Profit Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) Paid sick time on an as needed basis Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

QuartzBio Overview QuartzBio (www.quartz.bio ) is a Software-as-a-Service (SaaS) solutions provider to the life sciences industry. We deliver innovative, data enabling technologies (i.e., software) that provide biotech/pharma (R&D) teams with enterprise-level access to sample/biomarker data management solutions & analytics, information, insight & reporting capabilities. Our end-to-end (from sample collection to biomarker data) suite of solutions are focused on providing sponsors information (data with context) – we do this by connecting biospecimen, assay as well as clinical data sources in a secure and scalable cloud-based infrastructure, enabling seamless, automated data management workflows, key insight development, improved collaboration, and the ability to make faster, more informed decisions. Position Summary As AI Architect , you will play a pivotal role in defining and delivering the architecture, strategy, and execution of advanced GenAI systems that power our core products and enable intelligent exploration of biomarker data. You will lead the technical direction of the AI engineering function, ensuring cross-team alignment and driving long-term roadmap planning. In this leadership role, you will architect complex, scalable GenAI pipelines, guide technical design across squads, and influence executive-level decision-making around AI strategy, tooling, and infrastructure. You will also champion best practices in AI-first development, mentor engineering talent, and drive the adoption of emerging AI technologies to ensure our systems remain at the forefront of innovation. Key Responsibilities Architect and lead the development of next-generation RAG systems using vector databases, semantic embeddings, and cloud-native services. Design and implement scalable, production-ready GenAI pipelines and LLM-based services to power intelligent, conversational exploration of biomarker data. Collaborate across Product, Engineering, and Design to align AI architecture with roadmap priorities and user needs. Own key architectural decisions around model orchestration, latency optimization, prompt design, and scalability Strategic technical advisor to leadership and help prioritize AI investments with long-term impact. Provide technical leadership across squads, driving design reviews, AI solution quality standards, and architectural consistency. Lead internal initiatives to adopt and evaluate emerging AI/LLM frameworks, orchestration platforms, and foundation models. Define and refine LLM evaluation frameworks, feedback pipelines, and end-user quality metrics. Champion best practices for AI-first development, observability, versioning, and experimentation Serve as a mentor and multiplier, developing talent across the AI engineering organization. Drive strategic AI initiatives aligned with business goals. Subject matter expert in AI and machine learning technologies. Draft and maintain internal documentation for relevant AI systems and processes; communicate within and across teams. Debug and troubleshoot complex AI system issues and provide timely solutions. Mentor and develop AI engineers; help scale the AI organization through strategic hiring, training, and leadership. Communicate effectively with team members and stakeholders. Collaborate with cross-functional teams to define AI project requirements and timelines. Continuously improving technical skills and staying up to date with emerging AI technologies and shifting priorities Other duties as assigned. Qualifications Bachelor’s degree related field and a minimum of 12 years of relevant work experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions. 10+ years of engineering experience, including 5+ years shipping production ML/AI systems, with a focus on LLMs or GenAI 6-8 years of experience working in a customer-facing role and leading projects. Proven experience driving architecture and strategy for complex AI systems at scale Deep expertise in Python, cloud platforms (especially AWS), and modern AI/ML infrastructure Advanced proficiency with semantic search, vector databases, and retrieval-augmented generation (RAG) architectures Experience working with LLM tooling such as Lang Chain, Llama Index, AWS Bedrock, OpenAI, or similar Familiarity with evaluation pipelines, human-in-the-loop feedback systems, and performance optimization Strong systems thinking and algorithmic fundamentals (DSA) Excellent communication skills, with a track record of aligning stakeholders and driving strategic initiatives. Comfortable in AI-native environments using tools like GitHub Copilot, Cursor, or related development assistants. Strong ability to identify and present information or data that will have a strong effect on others. Strong ability to partner with customers. Strong ability to review and understand end-to-end work processes. Skilled at collaborating with customers to understand their requirements and expectations by asking questions and listening. Excellent problem-solving and analytical skills. Leadership Expectations Follows Company's Principle and code of ethics on a day-to-day basis. Shows appreciation for individual talents, differences, and abilities of fellow team members. Listens and responds with appropriate actions. Leads change initiatives and continuous process improvements. Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice. Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com. It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.

Industry & Sector: High-growth provider of enterprise IT consulting and digital integration services, serving clients in finance, retail, and manufacturing across global markets. Our on-site engineering teams in India build robust data-interchange platforms and mission-critical automations powered by modern Python stacks. Role & Responsibilities Design, develop, and maintain Python-based integration services connecting REST, SOAP, GraphQL, and message-queue endpoints. Create reusable adapters and transformation pipelines to move data between ERP, CRM, and cloud SaaS systems with strict latency SLAs. Collaborate with architects to translate business workflows into microservice APIs, schemas, and event-driven interfaces. Implement automated test suites, CI/CD jobs, and monitoring hooks to ensure 99.9% uptime and rapid rollback. Optimize code for performance and security, conducting peer reviews and enforcing PEP-8 and OWASP guidelines. Produce clear technical documentation and mentor junior developers on integration best practices. Skills & Qualifications Must-Have: 10+ years Python programming; proven API integration experience; hands-on with FastAPI or Flask; proficiency in JSON/XML parsing and SQL/NoSQL data stores; Git-centric workflow. Preferred: Docker & Kubernetes exposure; experience with Celery/RabbitMQ; working knowledge of AWS or Azure services; familiarity with OAuth2/SAML security models; understanding of Agile delivery. Benefits & Culture Highlights Work on greenfield integration projects for global enterprises, directly impacting digital transformation roadmaps. Cohesive, engineer-led culture emphasizing continuous learning, hackathons, and certification support. Competitive salary, onsite cafeteria, and comprehensive health coverage for you and your family. Location: On-site role based in India; candidates must be willing to work from the client facility and collaborate with cross-functional teams in IST hours. Skills: fastapi,docker,saml,aws,azure,python programming,integration testing,git,flask,oauth2,json/xml parsing,version control,microservices,api integration,celery,python,sql,agile,agile delivery,integration,nosql,kubernetes,problem solving,rabbitmq

Job ID: 31417 Location: Chennai, IN Area of interest: Technology Job type: Regular Employee Work style: Office Working Opening date: 2 Jul 2025 Job Summary As an Observability Lead, you will play a critical role in making the internal state of the market's infrastructure and services visible to stakeholders for troubleshooting, performance analysis, capacity planning, and reporting. You will develop platforms and tooling to enable developers and operators to efficiently trace performance problems to their source and map their application performance to business objectives. You will lead the standardization and adoption of observability tools for the Infrastructure department including Platform, Database, Reliability, and Cloud Operations teams, as well as developer teams. Key Responsibilities: Design and build an observability infrastructure for all engineering teams to consume. Develop and improve instrumentation for monitoring and logging the health and availability of services. Design and develop tools for metric collection, analysis, and reporting. Educate and lead efforts to improve observability among all engineering teams. Work with teams to enable an effective and pleasant on-call experience. Identify and collect the appropriate measurements, and synthesize the correct queries, to show intuitive and insightful visualizations which characterize the behavior of complex systems. Build a metrics pipeline with end-to-end latency under 5 minutes. Integrate logs with time series data for event correlation. Help us unlock the power of distributed tracing. Proactively monitor systems, networks, and applications to provide input in improving the stability, security, efficiency, and scalability of systems. Key Responsibilities Strategy Awareness and understanding of the TTO’25 business strategy and model appropriate to the role. Support and the enablement of the Central Monitoring & Observability strategy, goals and objectives by developing prioritized features aligned to the Catalyst and Tech Simplification programmes. Business The Monitoring & Observability Platform team is a global team ensuring the design, development, delivery & support of the bank’s central monitoring and observability services for all TTO teams (technology domains). The ideal candidate will possess a deep understanding of in one or more of the platform technologies (ITRS Geneos, Zabbix, Elastic Observability and Grafana) and its other required capabilities, such as Kafka messaging, database management, enabling the design, development, implementation, and management of the central solution, integrating advanced technological tools and techniques, and overseeing large-scale enterprise-level implementations. Processes As a Observability Lead, you will play a crucial role in ensuring the stability, reliability, and performance of our applications and platform, thereby enabling our organization to deliver exceptional services to our internal stakeholders by adhering to the Enterprise SDLC (eSDLC) framework and guidelines. People & Talent Actively engaging in stakeholders’ conversations, providing timely, clear and actionable feedback to deliver solution within timeline. Risk Management The ability to interpret the Group’s technical and security (ICS) control requirements and information to identify potential risks and key issues based on this information and put in place appropriate controls and measures to mitigate or minimize risk to the central monitoring & observability platform delivery. Governance Awareness and understanding of the eSDLC framework, in which the TTO software delivery operates, and the requirements and expectations relevant to the role. Responsible for adhering to the effectiveness of the central monitoring and observability platform deliver governance, based on oversight and controls of the eSDLC framework. Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. Key stakeholders TTO CIO Development teams TTO Product Owners TTO SRE / PSS ET Foundation Service Owners Other Responsibilities Embed Here for good and Group’s brand and values in the Observability Platform Team; Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures; Multiple functions (double hats); Participate in solution architecture / design consulting, platform management, and capacity planning activities Create sustainable solutions and services through automation and service uplifts within monitoring and observability disciplines Daily tasks include providing Level 2 / Level 3 support to delivered solutions. This means solving incidents and problems and applying changes according to the bank’s defined processes. Skills and Experience Application Delivery Process Software Engineering Software Product Technical Knowledge Software Change Request Management Technical Troubleshooting Qualifications Education Degree Training Agile Delivery, DevOps, SRE Certifications Any Monitoring or Observability product certifications, such as ITRS Geneos, Zabbix, ElasticSearch and Grafana Languages English Our ideal candidate would have: 5 years experience working in Monitoring / Observability / SRE / DevOps / Performance. Experience working with cloud infrastructures, particularly Kubernetes and AWS. In-depth experience designing at-scale monitoring and logging for corporate infrastructure services. Expert-level experience in monitoring and logging technologies, both open source Experience ITRS Geneos, Zabbix, Prometheus, Grafana and ELK Competencies Action Oriented Collaborates Customer Focus Gives Clarity & Guidance Manages Ambiguity Develops Talent Drives Vision & Purpose Nimble Learning Decision Quality Courage Instills Trust Strategic Mindset Technical Competencies: This is a generic competency to evaluate candidate on role-specific technical skills and requirements About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. Recruitment Assessments Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process. Visit our careers website www.sc.com/careers www.sc.com/careers

QuartzBio Overview QuartzBio (www.quartz.bio ) is a Software-as-a-Service (SaaS) solutions provider to the life sciences industry. We deliver innovative, data enabling technologies (i.e., software) that provide biotech/pharma (R&D) teams with enterprise-level access to sample/biomarker data management solutions & analytics, information, insight & reporting capabilities. Our end-to-end (from sample collection to biomarker data) suite of solutions are focused on providing sponsors information (data with context) – we do this by connecting biospecimen, assay as well as clinical data sources in a secure and scalable cloud-based infrastructure, enabling seamless, automated data management workflows, key insight development, improved collaboration, and the ability to make faster, more informed decisions. Position Summary As AI Architect , you will play a pivotal role in defining and delivering the architecture, strategy, and execution of advanced GenAI systems that power our core products and enable intelligent exploration of biomarker data. You will lead the technical direction of the AI engineering function, ensuring cross-team alignment and driving long-term roadmap planning. In this leadership role, you will architect complex, scalable GenAI pipelines, guide technical design across squads, and influence executive-level decision-making around AI strategy, tooling, and infrastructure. You will also champion best practices in AI-first development, mentor engineering talent, and drive the adoption of emerging AI technologies to ensure our systems remain at the forefront of innovation. Key Responsibilities Architect and lead the development of next-generation RAG systems using vector databases, semantic embeddings, and cloud-native services. Design and implement scalable, production-ready GenAI pipelines and LLM-based services to power intelligent, conversational exploration of biomarker data. Collaborate across Product, Engineering, and Design to align AI architecture with roadmap priorities and user needs. Own key architectural decisions around model orchestration, latency optimization, prompt design, and scalability Strategic technical advisor to leadership and help prioritize AI investments with long-term impact. Provide technical leadership across squads, driving design reviews, AI solution quality standards, and architectural consistency. Lead internal initiatives to adopt and evaluate emerging AI/LLM frameworks, orchestration platforms, and foundation models. Define and refine LLM evaluation frameworks, feedback pipelines, and end-user quality metrics. Champion best practices for AI-first development, observability, versioning, and experimentation Serve as a mentor and multiplier, developing talent across the AI engineering organization. Drive strategic AI initiatives aligned with business goals. Subject matter expert in AI and machine learning technologies. Draft and maintain internal documentation for relevant AI systems and processes; communicate within and across teams. Debug and troubleshoot complex AI system issues and provide timely solutions. Mentor and develop AI engineers; help scale the AI organization through strategic hiring, training, and leadership. Communicate effectively with team members and stakeholders. Collaborate with cross-functional teams to define AI project requirements and timelines. Continuously improving technical skills and staying up to date with emerging AI technologies and shifting priorities Other duties as assigned. Qualifications Bachelor’s degree related field and a minimum of 12 years of relevant work experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions. 10+ years of engineering experience, including 5+ years shipping production ML/AI systems, with a focus on LLMs or GenAI 6-8 years of experience working in a customer-facing role and leading projects. Proven experience driving architecture and strategy for complex AI systems at scale Deep expertise in Python, cloud platforms (especially AWS), and modern AI/ML infrastructure Advanced proficiency with semantic search, vector databases, and retrieval-augmented generation (RAG) architectures Experience working with LLM tooling such as Lang Chain, Llama Index, AWS Bedrock, OpenAI, or similar Familiarity with evaluation pipelines, human-in-the-loop feedback systems, and performance optimization Strong systems thinking and algorithmic fundamentals (DSA) Excellent communication skills, with a track record of aligning stakeholders and driving strategic initiatives. Comfortable in AI-native environments using tools like GitHub Copilot, Cursor, or related development assistants. Strong ability to identify and present information or data that will have a strong effect on others. Strong ability to partner with customers. Strong ability to review and understand end-to-end work processes. Skilled at collaborating with customers to understand their requirements and expectations by asking questions and listening. Excellent problem-solving and analytical skills. Leadership Expectations Follows Company's Principle and code of ethics on a day-to-day basis. Shows appreciation for individual talents, differences, and abilities of fellow team members. Listens and responds with appropriate actions. Leads change initiatives and continuous process improvements. Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice. Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com. It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Job Overview: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Wireless Connectivity Modem Systems Engineer, you will research, design, develop, verify, validate, and commercialize Wireless connectivity modem as a product or component within a product. Works on the implementation of a multi-RAT (Radio Access Technology) wireless connectivity modem from industry specifications (such as Bluetooth, UWB, IEEE 802.15.4, etc.). Has experience in the wireless connectivity specifications and can efficiently implement the shared resources of a multi-RAT modem. Works closely with other functional groups to develop a cost effective, high quality and high capability modem that meets industry and customer requirements with high performance (e.g., throughput, latency, power consumption) and acceptable cost (e.g., silicon area, calibration complexity, code size). Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. Preferred Qualifications: Master's degree or PhD in Electrical Engineering, or related field . 4+ years of experience in at least one or more of the following areas: Communication theory, digital signal processing, information theory, channel coding, and probability and random processes. Strong analytical and problem-solving skills. Ability to program effectively in C/C++, Python and/or Matlab. 2+ years of experience working in a large matrixed organization. 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Sr. Staff level and above). Principal Duties and Responsibilities: Leverages and applies advanced modem knowledge (e.g., RF, baseband signal processing, communication protocols) and design methodology for areas within modem hardware, systems, or firmware to execute modem assignments; participates in and shares own perspective within domain of modem subject matter expertise in design reviews and project meetings. . Performs functional analysis to drive requirements and specifications and to define and align with standards for hardware and software. Develops and analyzes system level design including requirements, interface definition, functional/performance definition, and implementation of a new system or modification of an existing system. Collaborates with own team and other teams to complete project work, including implementing and testing features and verifying the accuracy of systems. Develops new and innovative ideas (e.g. IDFs) for a product or feature area. Drives triage of problems at the system level to determine root cause and presents results of testing and debugging to team members. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. Level of Responsibility: Works under supervision. Decision-making may affect work beyond immediate work group. Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc. Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions). Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Description: · Developing models: Building and improving mathematical models for trading, forecasting, or data processing · Conducting research: Analysing large datasets to identify trends and insights, and conducting research on financial markets and economic conditions · Coding Skills: Strong Coding Skills in Python and other languages · Using unconventional data: Using unconventional data sources to drive innovation · Translating algorithms: Translating mathematical models into algorithms · Managing Risk: Building Mathematical Models t help manage risk of a product or strategy · Predictive Modelling: Building Predictive Model based on historical data on Monte Carlo Modelling · Pseudo Code: Capability to write Pseudo Code and Python Code to test a mathematical model · Systems: Good understanding of the Trading Systems and trade execution process to limit latency and slippages · Market Understanding: Good comprehension of the Financial and Capital Markets Other Skills: · Oversee the development and implementation of investment strategies using mathematical and statistical tools · Good knowledge of AI, ML and LLMs to use the advanced technologies for efficiency and productivity · Proven skills of exhibiting usage of data sciences, maths or statistics in development or improvement of Investment Strategies Compliance and Risk Management: · Ensure the firm’s practices comply with SEBI regulations and other relevant legal requirements. · Identify mathematical and Statistical models for Risk Management of strategies and products · Implement and monitor internal controls to manage and mitigate risks effectively. Qualifications: · Bachelor’s degree in Maths, Master Preferred or Pursuing PhD in Maths · Relevant experience in mathematics, statistics, computer science, or finance preferred · Minimum of 3-5 years of experience in building Mathematical modelling and Data Sciences · Proven ability to develop and execute mathematical models in live market strategies · High ethical standards and a commitment to acting in clients' best interests. Job Type: Full-time Schedule: Day shift Work Location: In person

- A graduate in any field of study. Quantitative fields such as engineering is preferred but not mandatory, with relevant experience in Software testing, 2 to 3 years of industry experience. - Ability to meet deadlines in a fast-paced work environment driven by complex software systems and processes. - Good at problem solving, data analysis and troubleshooting issues related to content quality. - Good interpersonal skills to manage ongoing relationships with software team and inter-operations teams. - Goal-driven and target-oriented while being able to step back and look at the bigger picture Role & Responsibility 1. He/She should be able to come up with creative ways to reduce ambiguity by identifying training needs, work instruction simplification etc. 2. He/she needs to continuously adapt to and learn the new features of various tools and systems and improve on his/her acumen to identify and report the errors. He/she has to follow SOP to catch errors in the content. 3. He/She should be able to provide floor support to DA's on clarifying their queries during execution 4. The associate will need to be aware of operation metrics like productivity (number of titles processed per hour), quality (defect percentage) and delivery/latency SLA. The associate will be measured on his/her compliance to these metrics, SLA requirements, QA guidelines, team goals, personal goals and ability to ideate and drive process improvements for closure. 5. The employee will be an individual contributor for this role. 6. In addition the associate must be able to pay close attention to minute details, have good communication skills, and a professional demeanor. 7. He/She should be able to do RCA for all the duplicate and invalid clarifications – reduce ambiguity in work instructions by identifying training needs. Knowledge about various aspects of English. Proof reading skill set will be an added advantage. Self starter, good team player. Strong attention to detail in editing content and deep dive and identify root causes of issues. Knowledge of or experience in Publishing industry is a big plus. Ability to drive new mechanisms within internal teams. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

💻 Role: Java Developer (L3- Executive) We are looking for Java developers with 5 –8 years of experience to contribute to the design and development of high-performance, distributed enterprise applications. 🔧 Core Responsibilities: Design and develop scalable, high-volume, low-latency systems Write clean, testable, and efficient Java code Translate business requirements into robust technical solutions Collaborate across teams throughout the development lifecycle Identify and resolve technical issues and bugs Stay up to date with the latest trends and tools in software development 🛠️ Must-Have Technical Skills: Strong proficiency in Java Hands-on experience with Spring, Hibernate, Play frameworks Good understanding of JVM internals and memory model Solid foundation in OOP concepts and design patterns Experience with microservices , RESTful APIs , JDBC , MVC architecture Strong knowledge of RDBMS (MySQL) and exposure to NoSQL (MongoDB, Elasticsearch) Familiarity with GIT and build tools like Maven, Gradle, Ant Awareness of CI/CD pipelines and clean coding practices 🌟 Good-to-Have Skills: Understanding of Message Queues (Kafka) Familiarity with Distributed Caching (Redis, Aerospike) 🤝 Why Join Us? Work on impactful projects using modern tech stacks. Collaborate with skilled professionals in a growth-focused, innovation-driven environment.

This role is for one of Weekday's clients Min Experience: 8 years Location: Hyderabad JobType: full-time Requirements About the Role: We are looking for a highly skilled and experienced Backend Developer - Python to join our engineering team. This is an exciting opportunity for a passionate developer who thrives in a fast-paced, high-impact environment and has a strong background in building robust, scalable, and secure backend systems. As a Senior Backend Developer, you will play a crucial role in designing and developing backend services, driving technical excellence, and collaborating with cross-functional teams to deliver high-quality software solutions. You will be primarily responsible for creating REST APIs, managing cloud infrastructure, and ensuring a seamless CI/CD process using AWS technologies. Key Responsibilities: Backend Development: Design, develop, and maintain scalable backend systems using Python. Build and optimize RESTful APIs that are secure, maintainable, and high-performing. Write clean, efficient, and well-documented code following best practices. Cloud Infrastructure (AWS): Leverage AWS services like Lambda, API Gateway, S3, RDS, and DynamoDB to build serverless applications. Implement infrastructure-as-code practices for reproducible and auditable deployments. Ensure backend services are secure, reliable, and cost-effective in the cloud. CI/CD Implementation: Set up and maintain automated CI/CD pipelines using AWS CodePipeline, GitHub Actions, or similar tools. Automate build, test, and deployment processes to improve development speed and reliability. Ensure zero-downtime deployments and effective rollback strategies. Architecture & Performance: Contribute to architectural decisions and help evolve the product's backend design. Optimize performance of APIs and backend services for high availability and low latency. Implement monitoring, alerting, and logging for observability and issue resolution. Cross-Functional Collaboration: Work closely with frontend engineers, DevOps, QA, and product managers to align on requirements and delivery. Participate in Agile ceremonies such as sprint planning, retrospectives, and daily stand-ups. Take ownership of end-to-end feature development, from conception to deployment and maintenance. Skills and Qualifications: Must-Have: 8+ years of professional experience in backend development, with a strong emphasis on Python. Proven experience in building and consuming REST APIs in production environments. Expertise in AWS services, especially Lambda, API Gateway, S3, and RDS. Hands-on experience with CI/CD pipelines using AWS services and GitHub. Deep understanding of event-driven architectures, asynchronous processing, and message queues. Familiarity with cloud deployment practices and security standards. Nice-to-Have: Experience with containerization (Docker) and orchestration (Kubernetes). Exposure to microservices and serverless architecture patterns. Knowledge of performance monitoring tools like CloudWatch, Datadog, or Prometheus. Soft Skills: Excellent problem-solving skills and a proactive mindset. Strong communication and interpersonal abilities. Capable of mentoring junior developers and leading technical discussions. Comfortable working in Agile/Scrum environments

Industry & Sector: High-growth provider of enterprise IT consulting and digital integration services, serving clients in finance, retail, and manufacturing across global markets. Our on-site engineering teams in India build robust data-interchange platforms and mission-critical automations powered by modern Python stacks. Role & Responsibilities Design, develop, and maintain Python-based integration services connecting REST, SOAP, GraphQL, and message-queue endpoints. Create reusable adapters and transformation pipelines to move data between ERP, CRM, and cloud SaaS systems with strict latency SLAs. Collaborate with architects to translate business workflows into microservice APIs, schemas, and event-driven interfaces. Implement automated test suites, CI/CD jobs, and monitoring hooks to ensure 99.9% uptime and rapid rollback. Optimize code for performance and security, conducting peer reviews and enforcing PEP-8 and OWASP guidelines. Produce clear technical documentation and mentor junior developers on integration best practices. Skills & Qualifications Must-Have: 10+ years Python programming; proven API integration experience; hands-on with FastAPI or Flask; proficiency in JSON/XML parsing and SQL/NoSQL data stores; Git-centric workflow. Preferred: Docker & Kubernetes exposure; experience with Celery/RabbitMQ; working knowledge of AWS or Azure services; familiarity with OAuth2/SAML security models; understanding of Agile delivery. Benefits & Culture Highlights Work on greenfield integration projects for global enterprises, directly impacting digital transformation roadmaps. Cohesive, engineer-led culture emphasizing continuous learning, hackathons, and certification support. Competitive salary, onsite cafeteria, and comprehensive health coverage for you and your family. Location: On-site role based in India; candidates must be willing to work from the client facility and collaborate with cross-functional teams in IST hours. Skills: fastapi,docker,saml,aws,azure,python programming,integration testing,git,flask,oauth2,json/xml parsing,version control,microservices,api integration,celery,python,sql,agile,agile delivery,integration,nosql,kubernetes,problem solving,rabbitmq

Responsibilities: Build and optimize RAG (Retrieval-Augmented Generation) and Agentic AI workflows using LangChain, vector databases (Pinecone, FAISS, ChromaDB), and embedding models. Implement LLM fine-tuning, prompt chaining, and response ranking to enhance generative AI performance. Develop and evaluate retrieval mechanisms using semantic search and vector similarity techniques. Benchmark model performance using BLEU, ROUGE, METEOR, BERTScore, and other LLM evaluation metrics. Deploy AI models in production environments (AWS, GCP, Azure) with MLOps best practices for monitoring and retraining. Stay updated on the latest advancements in LLMs, transformers, and multi-agent AI architectures, applying new techniques to improve AI-driven applications. Requirements: Hands-on experience in Generative AI, RAG, and Agentic AI workflows, with expertise in LangChain, embedding models, and vector databases (Pinecone, FAISS, ChromaDB). Strong Python skills with experience in Hugging Face, PyTorch, TensorFlow, and scikit-learn for LLM fine-tuning and prompt engineering. Proficiency in benchmarking LLMs using BLEU, ROUGE, METEOR, and BERTScore, ensuring model quality and optimization. Experience in cloud-based deployments (AWS, GCP, Azure) and MLOps tools (MLflow, Weights & Biases, KubeFlow) for monitoring and retraining. Familiarity with containerized deployments (Docker, Kubernetes) and distributed computing (Ray, Spark) for scalable AI workloads. Strong problem-solving skills, with the ability to optimize LLM pipelines for latency, efficiency, and real-world applications.

Industry & Sector: High-growth provider of enterprise IT consulting and digital integration services, serving clients in finance, retail, and manufacturing across global markets. Our on-site engineering teams in India build robust data-interchange platforms and mission-critical automations powered by modern Python stacks. Role & Responsibilities Design, develop, and maintain Python-based integration services connecting REST, SOAP, GraphQL, and message-queue endpoints. Create reusable adapters and transformation pipelines to move data between ERP, CRM, and cloud SaaS systems with strict latency SLAs. Collaborate with architects to translate business workflows into microservice APIs, schemas, and event-driven interfaces. Implement automated test suites, CI/CD jobs, and monitoring hooks to ensure 99.9% uptime and rapid rollback. Optimize code for performance and security, conducting peer reviews and enforcing PEP-8 and OWASP guidelines. Produce clear technical documentation and mentor junior developers on integration best practices. Skills & Qualifications Must-Have: 10+ years Python programming; proven API integration experience; hands-on with FastAPI or Flask; proficiency in JSON/XML parsing and SQL/NoSQL data stores; Git-centric workflow. Preferred: Docker & Kubernetes exposure; experience with Celery/RabbitMQ; working knowledge of AWS or Azure services; familiarity with OAuth2/SAML security models; understanding of Agile delivery. Benefits & Culture Highlights Work on greenfield integration projects for global enterprises, directly impacting digital transformation roadmaps. Cohesive, engineer-led culture emphasizing continuous learning, hackathons, and certification support. Competitive salary, onsite cafeteria, and comprehensive health coverage for you and your family. Location: On-site role based in India; candidates must be willing to work from the client facility and collaborate with cross-functional teams in IST hours. Skills: fastapi,docker,saml,aws,azure,python programming,integration testing,git,flask,oauth2,json/xml parsing,version control,microservices,api integration,celery,python,sql,agile,agile delivery,integration,nosql,kubernetes,problem solving,rabbitmq

Audria is a voice-first personal computing device worn discreetly behind the ear. It is designed to be proactive, understands the user’s conversations and provides the user with context-aware personal AI assistance. We’re building something fundamentally new — a privacy-first, voice-first, intelligent system that lives on your device and adapts to you. It requires a blend of machine learning , systems programming , and iOS craftsmanship . Role : iOS Engineer Salary : 12 LPA - 24 LPA fixed (Based on experience) Location : Noida (on-site), 5 days a week Joining date : As soon as possible- July What We’re Looking For Strong iOS fundamentals , especially with Swift , SwiftUI , and modern concurrency (e.g., async/await). Deep comfort working with: AVAudioEngine, Core ML, Core Audio, and low-level iOS APIs. Deep knowledge in: Real-time, low-latency pipelines involving audio , ML inference , and system integration . Familiarity with the on-device ML ecosystem : Core ML, MLX, Metal Performance Shaders (MPS), or any iOS-compatible LLM inference libraries (like llama.cpp or whisper.cpp). Appreciation for systems-level thinking : performance, battery, memory, privacy, background execution, and constraints of mobile hardware. A self-directed builder: able to define their own roadmap, evaluate tradeoffs, and optimize for user experience without needing a spec . Nice to Have Experience working on voice-first or ambient interfaces . Past work with transformers , tokenizers , or LoRA-style adapter architectures . Knowledge of audio classification , VAD , or speech recognition , especially under constrained environments. Contributions to open-source ML or mobile infrastructure projects. Experience integrating or working with C/C++ code in iOS projects (via bridging, SPM, or other methods). The main trait we are looking for when hiring is how fast you can learn new things and execute, as this field is moving fast (Apple Intelligence Foundation Models Framework). We are looking for people who keep up with the latest research and are curious to execute on something promising and challenging.

Industry & Sector: High-growth provider of enterprise IT consulting and digital integration services, serving clients in finance, retail, and manufacturing across global markets. Our on-site engineering teams in India build robust data-interchange platforms and mission-critical automations powered by modern Python stacks. Role & Responsibilities Design, develop, and maintain Python-based integration services connecting REST, SOAP, GraphQL, and message-queue endpoints. Create reusable adapters and transformation pipelines to move data between ERP, CRM, and cloud SaaS systems with strict latency SLAs. Collaborate with architects to translate business workflows into microservice APIs, schemas, and event-driven interfaces. Implement automated test suites, CI/CD jobs, and monitoring hooks to ensure 99.9% uptime and rapid rollback. Optimize code for performance and security, conducting peer reviews and enforcing PEP-8 and OWASP guidelines. Produce clear technical documentation and mentor junior developers on integration best practices. Skills & Qualifications Must-Have: 10+ years Python programming; proven API integration experience; hands-on with FastAPI or Flask; proficiency in JSON/XML parsing and SQL/NoSQL data stores; Git-centric workflow. Preferred: Docker & Kubernetes exposure; experience with Celery/RabbitMQ; working knowledge of AWS or Azure services; familiarity with OAuth2/SAML security models; understanding of Agile delivery. Benefits & Culture Highlights Work on greenfield integration projects for global enterprises, directly impacting digital transformation roadmaps. Cohesive, engineer-led culture emphasizing continuous learning, hackathons, and certification support. Competitive salary, onsite cafeteria, and comprehensive health coverage for you and your family. Location: On-site role based in India; candidates must be willing to work from the client facility and collaborate with cross-functional teams in IST hours. Skills: fastapi,docker,saml,aws,azure,python programming,integration testing,git,flask,oauth2,json/xml parsing,version control,microservices,api integration,celery,python,sql,agile,agile delivery,integration,nosql,kubernetes,problem solving,rabbitmq

Senior Engineering Manager – Must have .NET (C#) programming experience High-Scale Systems | Global Hospitality Tech Location: Gurugram, New Delhi Posted by: Ador Talent – Specialist Tech Recruitment Ador Talent is proud to partner with a world-leading travel technology company at the cutting edge of the global hospitality industry. Our client is a pioneer in powering B2B marketplaces that process billions of daily searches, bookings, and transactions —and they’re looking for a Senior Engineering Manager to lead their next phase of growth. This is an exciting opportunity to take ownership of a high-performing engineering team , working with massive-scale distributed systems and modern cloud architecture, all built on a .NET C# foundation. What You’ll Be Doing Technical Leadership: Guide architecture and hands-on development using .NET (C#). Review code, build PoCs, and influence technical direction across mission-critical systems. Team Management: Hire, mentor, and lead a team of engineers. Drive a culture of collaboration, innovation, and continuous improvement. Scale & Performance: Oversee high-throughput, low-latency systems leveraging tools like Elasticsearch and cloud platforms (Azure/AWS/GCP) to support 2+ billion daily search events. Cross-Functional Collaboration: Work closely with data engineers, product managers, and platform teams to translate business gols into scalable solutions. Process Ownership: Drive engineering best practices—CI/CD, Agile, DevOps—and continuously improve development workflows using tools like Azure DevOps and Git. Strategic Vision: Help define the long-term technical roadmap, align engineering initiatives with business strategy, and present to key stakeholders. What We’re Looking For 10+ years in software engineering, including 3+ years in a management or senior leadership A keen interest in AI and someone who has used AI tools to improve software development process (OpenAI, ChatGPT, Tabnine etc) Proven success scaling and mentoring technical teams Extensive Experience (5+ years): Proven track record designing and developing complex applications using C# and the .NET framework, with strong, recent experience in ASP.NET 8 & 9 / .NET 6+. Deep Elastic Search Expertise (Minimum 3 years): Demonstrable, in-depth, hands on experience architecting, implementing, managing, and optimizing Elastic Search clusters in production environments. Strong Architectural Skills: Proven ability to design scalable, resilient, maintainable, and high-performance distributed systems and microservices architectures. Azure Cloud Proficiency: Significant hands-on experience designing, deploying, and managing applications on Microsoft Azure, utilizing services like App Services, Azure SQL, Storage, Key Vault, Service Bus, and Azure DevOps. If you have the relevant background and experience please APPLY today!

Job Description: Developing models: Building and improving mathematical models for trading, forecasting, or data processing Conducting research: Analyzing large datasets to identify trends and insights, and conducting research on financial markets and economic conditions Back testing: Testing and implementing trading models and signals in a live trading environment Creating reports: Summarizing findings and insights in detailed documents or presentations for non-technical stakeholders Using unconventional data: Using unconventional data sources to drive innovation Translating algorithms: Translating algorithms into code Managing portfolios: Managing and fine-tuning investment portfolios to maximize returns while minimizing risks Product Notes: Writing a detailed Product Note with all information including data to support the strategy Pseudo Code: Capability to write Pseudo Code to test the strategy Systems: Good understanding of the Trading Systems and trade execution process to limit latency and slippages Investment Management: Oversee the development and implementation of investment strategies and asset allocation models. Monitor market trends and economic indicators to make informed investment decisions. Ensure adherence to the firm’s investment policies and risk management guidelines. Compliance and Risk Management: Ensure the firm’s practices comply with SEBI regulations and other relevant legal requirements. Conduct periodic audits and reviews to maintain high standards of regulatory compliance. Implement and monitor internal controls to manage and mitigate risks effectively. Qualifications: Bachelor’s degree in finance, economics, business administration, or a related field; advanced degrees (MBA, CFA, CFP) preferred. Relevant experience in mathematics, statistics, computer science, or finance preferred NISM Series XV and Series X A&B certification Minimum of 5-10 years of experience in building technical trading and Quantitative Strategies Deep knowledge of SEBI regulations and compliance requirements. Proven ability to develop and execute strategic initiatives. High ethical standards and a commitment to acting in clients' best interests.

About Company At Delaplex, we believe true organizational distinction comes from exceptional products and services. Founded in 2008 by a team of like-minded business enthusiasts, we have grown into a trusted name in technology consulting and supply chain solutions. Our reputation is built on trust, innovation, and the dedication of our people who go the extra mile for our clients. Guided by our core values, we don’t just deliver solutions, we create meaningful impact. Job Summary We are seeking an experienced Senior QA Engineer with a strong background in warehouse automation systems. The ideal candidate should have expertise in load testing, database testing, microservices validation, and automation testing across UI, APIs, and backend systems. Experience in testing warehouse workflows, robotics integrations, and real-time inventory systems is essential. Key Responsibilities Design and implement test strategies for warehouse automation platforms, including robotic systems, inventory tracking, and real-time data sync. Perform end-to-end functional testing for warehouse workflows such as inbound, outbound, picking, sorting, inventory updates, etc. Develop and execute API load and performance tests to validate throughput, latency, and error handling under stress. Validate data consistency through database testing and backend service verification. Monitor server and system resources (CPU, Memory, Disk I/O, Network) during high-load scenarios. Create and maintain automation test suites for: UI Testing (Selenium/Cypress/Playwright) API Testing (Postman/RestAssured/Karate) DB Testing (custom SQL validators or automation scripts) Collaborate with warehouse solution architects, developers, and DevOps to ensure scalable and quality-tested deployments. Integrate automation tests into CI/CD pipelines and actively participate in code reviews and sprint planning. Required Skills 5+ years of QA experience with at least 2+ years in warehouse automation or logistics-based systems. Strong understanding of warehouse operations such as order processing, goods movement, scanning systems, and robotic control interfaces. Proven expertise in: Load & Performance Testing (JMeter, Gatling, etc.) Database Testing (PostgreSQL, MySQL, Oracle) API Testing (Postman, RestAssured, SoapUI) Automation Testing for UI/API/DB Knowledge of microservices architecture and test strategies for distributed systems. Experience with server resource monitoring tools (Grafana, Prometheus, Azure Monitor, etc.). Familiarity with Azure DevOps, Jenkins, or similar CI/CD platforms Skills: azure,ui testing,api,load,automation,warehouse automation,server resource monitoring,load testing,microservices validation,real-time inventory systems,database,ci,performance testing,automation testing,robotics integrations,api testing,database testing

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. Do you love Big Data? Deploying Machine Learning models? Challenging optimization problems? Knowledgeable, collaborative co-workers? Come work at eBay and help us redefine global, online commerce! Who Are We? The Product Knowledge team is at the epicenter of eBay’s Tech-driven, Customer-centric overhaul. Our team is entrusted with creating and using eBay’s Product Knowledge - a vast Big Data system which is built up of listings, transactions, products, knowledge graphs, and more. Our team has a mix of highly proficient people from multiple fields such as Machine Learning, Data Science, Software Engineering, Operations, and Big Data Analytics. We have a strong culture of collaboration, and plenty of opportunity to learn, make an impact, and grow! What Will You Do We are looking for exceptional Engineers, who take pride in creating simple solutions to apparently-complex problems. Our Engineering tasks typically involve at least one of the following: Building a pipeline that processes up to billions of items, frequently employing ML models on these datasets Creating services that provide Search or other Information Retrieval capabilities at low latency on datasets of hundreds of millions of items Crafting sound API design and driving integration between our Data layers and Customer-facing applications and components Designing and running A/B tests in Production experiences in order to vet and measure the impact of any new or improved functionality If you love a good challenge, and are good at handling complexity - we’d love to hear from you! eBay is an amazing company to work for. Being on the team, you can expect to benefit from: A competitive salary - including stock grants and a yearly bonus A healthy work culture that promotes business impact and at the same time highly values your personal well-being Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world’s population, and takes every opportunity to make this clearly apparent Job Responsibilities Design, deliver, and maintain significant features in data pipelines, ML processing, and / or service infrastructure Optimize software performance to achieve the required throughput and / or latency Work with your manager, peers, and Product Managers to scope projects and features Come up with a sound technical strategy, taking into consideration the project goals, timelines, and expected impact Take point on some cross-team efforts, taking ownership of a business problem and ensuring the different teams are in sync and working towards a coherent technical solution Take active part in knowledge sharing across the organization - both teaching and learning from others Minimum Qualifications Passion and commitment for technical excellence B.Sc. or M.Sc. in Computer Science or an equivalent professional experience 4+ years of software design and development experience, tackling non-trivial problems in backend services and / or data pipelines Solid foundation in Data Structures, Algorithms, Object-Oriented Programming, and Software Design Experience in production-grade coding in Java, and Python/Scala Experience in designing and operating Big Data processing pipelines, such as: Hadoop and Spark Experience handling complexities in production software systems Excellent verbal and written communication and collaboration skills Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. Do you love Big Data? Deploying Machine Learning models? Challenging optimization problems? Knowledgeable, collaborative co-workers? Come work at eBay and help us redefine global, online commerce! Who Are We? Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of. The Search Engine Optimization (SEO) and Landing Page teams define and build features that optimize the way customers browse our inventory and help them easily find and reach relevant eBay pages when searching on search engines like Google, Bing, Yahoo, etc. With literally hundreds of millions of products listed on eBay globally at any time, the scale at which eBay has to consider search engine optimization puts our team in a unique position to innovate and provide immediate value to the business. The SEO Landing Page Platform holds the buyer intent data definition for our category and model landing pages. These pages serve as important destinations for buyers who come from search engines like Google as well as those who are browsing the eBay site. The Linking Services connect those pages and enable them to show up in navigational elements like the breadcrumb and category navigation. The operational tools provide the interface for manual intervention and eventual automation of those operational tasks. What Will You Do We are looking for exceptional Engineers, who take pride in creating simple solutions to apparently-complex problems. Our Engineering tasks typically involve at least one of the following: Building a pipeline that processes up to billions of items, frequently applying ML models on these datasets Creating services that provide Search or other Information Retrieval capabilities at low latency on datasets of hundreds of millions of items Crafting sound API design and driving integration between our Data layers and Customer-facing applications and components Designing and running A/B tests in Production experiences in order to vet and measure the impact of any new or improved functionality If you love a good challenge, and are good at handling complexity - we’d love to hear from you! eBay is an amazing company to work for. Being on the team, you can expect to benefit from: A competitive salary - including stock grants and a yearly bonus A healthy work culture that promotes business impact and at the same time highly values your personal well-being Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world’s population, and takes every opportunity to make this clearly apparent Job Responsibilities Design, deliver, and maintain significant features in data pipelines, ML processing, and / or service infrastructure Optimize software performance to achieve the required throughput and / or latency Work with your manager, peers, and Product Managers to scope projects and features Come up with a sound technical strategy, taking into consideration the project goals, timelines, and expected impact Take point on some cross-team efforts, taking ownership of a business problem and ensuring the different teams are in sync and working towards a coherent technical solution Take active part in knowledge sharing across the organization - both teaching and learning from others Minimum Qualifications Passion and commitment for technical excellence B.Sc. or M.Sc. in Computer Science or an equivalent professional experience 7+ years of software design and development experience, tackling non-trivial problems in backend services and / or data pipelines A solid foundation in Data Structures, Algorithms, Object-Oriented Programming, Software Design/architecture, and core Statistics knowledge Experience in production-grade coding in Java, and Python/Scala Experience in the close examination of data, computation of statistics, and deriving of data insights Experience in designing and operating Big Data processing pipelines in Hadoop environment, mainly Spark Experience in ML model deployment and applying at scale Excellent verbal and written communication and collaboration skills eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our Accessibility Statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. Machine Learning Engineer (T24), Product Knowledge Do you love Big Data? Deploying Machine Learning models? Challenging optimization problems? Knowledgeable, collaborative co-workers? Come work at eBay and help us redefine global, online commerce! Who Are We? The Product Knowledge team is at the epicenter of eBay’s Tech-driven, Customer-centric overhaul. Our team is entrusted with creating and using eBay’s Product Knowledge - a vast Big Data system which is built up of listings, transactions, products, knowledge graphs, and more. Our team has a mix of highly proficient people from multiple fields such as Machine Learning, Data Science, Software Engineering, Operations, and Big Data Analytics. We have a strong culture of collaboration, and plenty of opportunity to learn, make an impact, and grow! What Will You Do We Are Looking For Exceptional Engineers, Who Take Pride In Creating Simple Solutions To Apparently-complex Problems. Our Engineering Tasks Typically Involve At Least One Of The Following Building a pipeline that processes up to billions of items, frequently employing ML models on these datasets Creating services that provide Search or other Information Retrieval capabilities at low latency on datasets of hundreds of millions of items Crafting sound API design and driving integration between our Data layers and Customer-facing applications and components Designing and running A/B tests in Production experiences in order to vet and measure the impact of any new or improved functionality If you love a good challenge, and are good at handling complexity - we’d love to hear from you! eBay is an amazing company to work for. Being on the team, you can expect to benefit from: A competitive salary - including stock grants and a yearly bonus A healthy work culture that promotes business impact and at the same time highly values your personal well-being Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world’s population, and takes every opportunity to make this clearly apparent Job Responsibilities Design, deliver, and maintain significant features in data pipelines, ML processing, and / or service infrastructure Optimize software performance to achieve the required throughput and / or latency Work with your manager, peers, and Product Managers to scope projects and features Come up with a sound technical strategy, taking into consideration the project goals, timelines, and expected impact Take point on some cross-team efforts, taking ownership of a business problem and ensuring the different teams are in sync and working towards a coherent technical solution Take active part in knowledge sharing across the organization - both teaching and learning from others Minimum Qualifications Passion and commitment for technical excellence B.Sc. or M.Sc. in Computer Science or an equivalent professional experience 2+ years of software design and development experience, tackling non-trivial problems in backend services and / or data pipelines A solid foundation in Data Structures, Algorithms, Object-Oriented Programming, Software Design, and core Statistics knowledge Experience in production-grade coding in Java, and Python/Scala Experience in the close examination of data and computation of statistics Experience in using and operating Big Data processing pipelines, such as: Hadoop and Spark Good verbal and written communication and collaboration skills Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.

Position Summary... What you'll do... About Team: The Enterprise People Technology team supports the successful deployment and adoption of new People technology across the enterprise. As a Fortune #1 company, our work impacts millions of associates globally. We strive to continuously improve people technology and products to help managers and associates so they can focus on what matters most - supporting our customers and members. People Technology is one of the major segments of Walmart Global Techs Enterprise Business Services, which is invested in building a compact, robust organization that includes service operations and technology solutions for Finance, People, and the Associate Digital Experience. What you'll do: The TPM for Payroll modernization . Work collaboratively and cross-functionally to achieve enterprise objectives and day-to-day excellence Coordinate and manage the development of large-scale, cross-functional projects in a multi-disciplinary environment spanning cutting-edge technologies such as big data, machine learning, AI, real-time analytics, and high-volume, low-latency, high-availability services to achieve these goals. Work with stakeholders to understand business needs, gather and define technical requirements and collaborate with engineering teams to design technical solutions Define goals, stage gates, critical delivery paths, and key deliverables for large-scale programs that incorporate multiple programs with dependencies across multiple areas of work, timelines, and resource constraints. Work closely with architects, engineering, product, design and business leaders to ensure the successful completion of strategic programs You will also establish a resource capacity allocation process and tool to transform the planning process. Your problem-solving and decision-making skills will be crucial in navigating any setbacks or obstacles that Align program deliverables with stakeholder expectations and ensure transparency throughout the project lifecycle Proactively identify and mitigate risks, resolve issues, manage dependencies, and drive fast and effective decision making Act with humility, honesty, and transparency, while also embracing change with curiosity, a growth mindset, and fostering an environment of learning, innovation, and intelligent risk-taking. You will manage large software development projects and work closely with architects and engineering ; product leaders to ensure successful project completion You will have a deep understanding of software architecture and contribute to architectural decision-making processes Build strong relationships with stakeholders across Walmart Global Tech, EBS and Transactional Systems Define goals and deliverables for large-scale programs, and efficiently utilizing engineering resources will be crucial. Problem-solving and decision-making skills will be essential in navigating setbacks and obstacles Embrace change with curiosity, a growth mindset, and fostering an environment of learning, innovation, and intelligent risk-taking What you'll bring: 8+ years of experience managing large enterprise Engineering or Product programs across multiple teams and disciplines Exceptional ability to collaborate tasks and responsibilities to team members, ensuring efficient project execution while maintaining accountability and fostering a collaborative and empowering work environment Experienced in system/platform design concepts, architecture, technical design, services, APIs, and technologies Deep understanding of software architecture, software design principles and contribute to architectural decision-making processes Efficient engineering resource utilization and delivery will be a priority, and you will need to simplify and clarify priorities and create plans with appropriate milestones for advance planning and executive buy-in. Build positive relationships and collaborate with product managers to understand target personas and business process needs, which you will then translate into features and user stories that engineers will leverage to iterate products quickly Strong sense of ownership and accountability, with a love for data and solving complex problems. Expertise in change ; risk management methodologies, project management tools, techniques, project tracking tools, dashboards, and reports Strong communicator in both verbal and written forms and are equally adept in communicating upwards, outwards, and downward Deep understanding of JIRA, JIRA Align, Big Picture, etc. would be advantageous About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Flexible, hybrid work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives. Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Belonging We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone. At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1: Bachelor's degree in computer science, information technology, engineering, or related area and 7 years' experience in engineering, engineering program management, technical program management, product management, or related area. Option 2: 9 years' experience in engineering, engineering program management, technical program management, product management, or related area. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Primary Location... Pardhanani Wilshire Ii, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India R-2200529