4639 Latency Jobs - Page 11

We are seeking a skilled and experienced DevOps Engineer with expertise in architecting, implementing, and managing hybrid cloud infrastructure to enable seamless deployment and scaling of high-performance applications and machine learning workloads. Proven experience in cloud services, on-premises systems, container orchestration, automation, and multi-database management. Key Responsibilities & Experience Designed, implemented, and managed scalable AWS infrastructure leveraging services such as EC2, ECS, Lambda, S3, DynamoDB, Cognito, SageMaker, Amazon ECR, SES, Route 53, VPC Peering, and Site-to-Site VPN to support secure, high-performance, and resilient cloud environments. Applied best practices in network security, including firewall configuration, IAM policy management. Architected and maintained large-scale, multi-database systems integrating PostgreSQL, MongoDB, DynamoDB, and Elasticsearch to support millions of records, low-latency search, and real-time analytics. Built and maintained CI/CD pipelines using GitHub Actions and Jenkins, enabling automated testing, Docker builds, and seamless deployments to production. Managed containerized deployments using Docker, and orchestrated services using Amazon ECS for scalable and resilient application environments. Implemented and maintained IaC frameworks using Terraform, AWS CloudFormation, and Ansible to ensure consistent, repeatable, and scalable infrastructure deployments. Developed Ansible playbooks to automate system provisioning, OS-level configurations, and application deployments across hybrid environments. Configured Amazon CloudWatch and Zabbix for proactive monitoring, health checks, and custom alerts to maintain system reliability and uptime. Administered Linux-based servers, applied system hardening techniques, and maintained OS-level and network security best practices. Managed SSL/TLS certificates, configured DNS records, and integrated email services using Amazon SES and SMTP tools. Deployed and managed infrastructure for ML workloads using AWS SageMaker, optimizing model training, hosting, and resource utilization for cost-effective performance. Preferred Qualifications 3+ years of experience in DevOps, Cloud Infrastructure Bachelors degree in Computer Science, Engineering Experience deploying and managing machine learning models Hands-on experience managing multi-node Elasticsearch clusters and designing scalable, high-performance search infrastructure. Experience designing and operating hybrid cloud architectures, integrating on-premises and cloud-based systems (ref:hirist.tech)

Selected Intern’s Day-to-day Responsibilities Include Maintain AdTech and cloud-based systems, ensuring core application components are stable, performant, and scalable in production environments. Design and develop RESTful APIs for internal and external integrations using industry-standard frameworks (e.g., Node.js, Python Flask/Django, Java Spring). Building endpoints, handling authentication, and enabling third-party connectivity. Integrate with third-party services, leveraging APIs to enable functionality such as analytics ingestion, ad exchange connections, or data integrations. Collaborate with vendors to troubleshoot integration issues. Design, execute, and analyze performance tests, simulating large-scale events using load testing tools like JMeter, Gatling, or Locust. Identify latency, throughput, and reliability bottlenecks. Troubleshoot performance bottlenecks, analyze issues in load test results and production environments, and recommend optimizations—e.g., query tuning, caching, scaling or refactoring. Develop tools and reports for performance metrics, including dashboards to track KPIs like response time, error rate, and resource utilization. Automate data collection and enable proactive monitoring. About Company: Vertoz (NSEI: VERTOZ), an AI-powered MadTech and CloudTech platform offering digital advertising, marketing, and monetization (MadTech) & digital identity, and cloud infrastructure (CloudTech) caters to businesses, digital marketers, advertising agencies, digital publishers, cloud providers, and technology companies.

At Citi we’re not just building technology, we’re building the future of banking. Encompassing a broad range of specialties, roles, and cultures, our teams are creating innovations used across the globe. Citi is constantly growing and progressing through our technology, with laser focused on evolving the ways of doing things. As one of the world’s most global banks we’re changing how the world does business Shape your Career with Citi We’re currently looking for a high caliber professional to join our team as Officer, Java Full stack Developer - Hybrid (Internal Job Title: 25836024 Apps Dev Programmer Analyst - C11) based in Chennai, India. Being part of our team means that we’ll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future. For instance: We provide programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling and more. Coverage varies by country. We empower our employees to manage their financial well-being and help them plan for the future. We provide access to an array of learning and development resources to help broaden and deepen your skills and knowledge as your career progresses. In this role, you’re expected to: Develop Code, test, document and release stories as part of development team.Reviewing code work for accuracy and functionality. Apply fundamental knowledge of programming languages for design specifications Work closely with Program Management and Quality Control teams to deliver quality software to agreed project schedules. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. As a successful candidate, you’d ideally have the following skills and exposure: 4-8 Years of hands-on experience as Java Developer In depth knowledge and application of Java, J2EE, HTML/CSS, JSP, Servlets, JDBC, Spring Framework, Struts framework, EJB and JavaScript Thorough understanding of usage of the fundamental concepts like Exception Handling, Static block/variables/classes , OOPS concepts, Collections, Multi-Threading, http sessions, session handling, Servlets/JSP life cycle, JDBC, actions, events, implicit objects, custom tags, context Exposure to an industry-standard database (Oracle or Sybase) on a UNIX platform with awareness of database design and SQL scripting knowledge and performance tuning Awareness of application servers /webservers (Weblogic , JBoss and iPlanet) Work experience in testing frameworks like Junit, TestNG Work experience on the transactional applications for low latency, high availability uses is a plus Swings/.Net/C# knowledge is a plus Domain : Knowledge of various treasury products, viz. FX, Money Markets, Fixed Income & Derivatives is a plus Working at Citi is far more than just a job. A career with us means joining a family of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact. Take the next step in your career, apply for this role at Citi today https://jobs.citi.com/dei ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Contribute to the design and architecture of software solutions, ensuring they are amenable to test. Planning tests, including the definition and management of suitable test data, and managing the trade-offs for thoroughness/completeness vs. development & maintenance effort on one hand and time to execute on the other. Reduce friction and latency in the development cycle through automation and immediate feedback; not only test but also build, deployment, monitoring, etc. Writing great software to support agile software engineering practices (e.g., TDD, continuous integration, automated tests, etc.) Collaborating with product owners, stakeholders and potentially globally distributed teams. Work cross functional in an Agile environment. Ensure that our applications can scale to match huge demand across the world. Sweat about milliseconds of response time and obsess over the next 1 percent of efficiency. Excellent problem-solving, organizational and analytical skills Requirements Master's / Bachelor's degree in Computer Science or related field with over 3 years experience. Knowledge of one of the following languages JavaScript, TypeScript, Java, Python. Experience building and executing automated tests using Selenium, playwright will be an added advantage. At least 2 years of experience testing software and web applications in an agile environment. Knowledge in automating UI tests with Selenium and Ruby. Knowledge of JavaScript, CSS, Web Standards and experience testing REST-based APIs. Experience configuring Jenkins and extending it with custom plug-ins. Understanding of enterprise-level automation needs and solutions (parallelism, distribution, etc.) Familiarity with client-side MVC frameworks. Experience with at least one major server-side web development stack, preferably ASP.NET Technical knowledge of at least one major RDBMS, preferably SQL Server. Strong verbal communication, cross-group collaboration skills, analytical, structured and strategic thinking. Great interpersonal skills, cultural awareness, and belief in teamwork. A little about ADP: We are a comprehensive global provider of cloud-based human capital management (HCM) solutions that unite HR, payroll, talent, time, tax and benefits administration and a leader in business outsourcing services, analytics, and compliance expertise. We believe our people make all the difference in cultivating a down-to-earth culture that embraces our core values, welcomes ideas, encourages innovation, and values belonging. We've received recognition for our work by many esteemed organizations, learn more at ADP Awards and Recognition. Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP: ADP is committed to an inclusive, diverse and equitable workplace, and is further committed to providing equal employment opportunities regardless of any protected characteristic including: race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, protected veteran status or disability. Hiring decisions are based upon ADP’s operating needs, and applicant merit including, but not limited to, qualifications, experience, ability, availability, cooperation, and job performance. Ethics at ADP: ADP has a long, proud history of conducting business with the highest ethical standards and full compliance with all applicable laws. We also expect our people to uphold our values with the highest level of integrity and behave in a manner that fosters an honest and respectful workplace. Click https://jobs.adp.com/life-at-adp/ to learn more about ADP’s culture and our full set of values.

Business Unit Bizmatics Bizmatics, A leading EHR company provides clinical and business productivity software and services to medical practices & multi-specialties. Our cloud-based application, PrognoCIS is a fully-integrated solution comprising EHR, Telemedicine, Practice Management, Medical Billing, RCM, Patient Engagement tools, and more. Built on multi-tier Internet architecture, PrognoCIS EHR supports all major specialties and has fully customizable templates. The integrated architecture supports common databases for all Prognocis products to ensure seamless, real-time information flow between EHR and Billing. PrognoCIS is available both as an ASP service or an in-house Client-Server solution. Job Summary We are looking for individuals with proven experience in software development, design, and architecture to help us build new innovative products for the utility industry. As part of the team you will be working on enhancing existing products while keeping a strong focus on the customers’ requirements and also on quality assurance. We highly value team members who can communicate clearly and concisely, and who work to build a positive and enjoyable workplace. We are looking to grow our team in Mumbai with this position is open to qualified individuals living anywhere in and around the city and willing to work hybrid. Work Mode: Hybrid Shift Timings: 10am to 7pm IST Location: Mumbai What We Are Looking For ( Mandatory Qualifications & Skills) Core Java, JSP, Servlet, JavaScript/jQuery, Tomcat, SQL Server Good to have: CSS, Handling Multi Browser Application, Restful web service Good knowledge of OOPs concept, multi-threading, file handling Should have the ability to analyze, design, develop, and test complex, low-latency client-facing applications. Should possess good architectural knowledge and be aware of enterprise application design patterns. Strong Interpersonal skills to work with customers and internal teams to successfully complete projects Good communication (written and spoken) skills Strong problem solving and analytical skills Quick Learner and should be ready to learn new technology (Preferred/Good-to-Have Skills) What Would Make You Stand Out: Full stack java experience preferred Framework: Struts (good to have)/Spring MVC Soft Skills/ Behavioural Skills Good Communication and Collaboration. Strong ARO Strong analytical and problem-solving skills. Self-motivated and capable of working independently. Quick learner and adaptable to changing technologies. Benefits Annual Public Holidays as applicable 30 days total leave per calendar year Mediclaim policy Lifestyle Rewards Program Group Term Life Insurance Gratuity ...and more!

Summary Position Summary Performance Engineer – CL3 Role Overview : As a Performance Engineer , you will actively engage in your performance engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users while also driving tangible value for Deloitte's business investments. You will leverage your performance engineering craftsmanship across multiple quality assurance and engineering disciplines, as well as modern frameworks, consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions. The ideal candidate will have a background in engineering, performance engineering, and modern tools, platforms, and technologies. This role will be pivotal in enhancing our performance testing frameworks and ensuring the highest performance and scalability standards for our products. Key Responsibilities : Outcome-Driven Accountability: Understand the importance ofdriving a culture of accountability for customer and business outcomes. Develop performance engineering solutions (e.g., performance test plans, load and stress testing, performance tuning, root cause analysis, etc.) that solve complex problems with valuable outcomes to meet customer needs and business impact KPIs. Technical Leadership and Advocacy: Actively advocate the importance of product performance, ensuring performance SLAs are at the forefront of every discussion and during every sprint with a focus on appropriateness, feasibility, and alignment with business and customer goals, NFRs, and applicable performance engineering standards. Engineering Craftsmanship: Maintain accountability for the integrity of performance test design and automation, data setup, their ongoing maintenance and scale, as well as the performance feasibility of solutions. Stay hands-on, self-driven, and continuously learn new approaches, tools, techniques, and frameworks. Solve complex problems by employing various engineering techniques such as in-sprint performance testing, identify bottlenecks, root causes, and optimizations, adhering to defined standards and SLAs while evolving those as necessary. Customer-Centric Engineering: Develop lean performance engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time. Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, engineering, delivery, infrastructure, and security. Integrate diverse perspectives to make well-informed decisions that balance performance, feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. Advanced Technical Proficiency: Possess basic knowledge in modern performance engineering practices and principles, including Agile methodologies and DevSecOps to deliver daily product deployments using techniques such as fully automated in-sprint performance testing to accept the stories and work products throughout the SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate an understanding of the full lifecycle product development, focusing on continuous improvement and learning. Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs and UX/UI designs into performance test plans, load models, and performance automations. Be a valuable, flexible, and dedicated team member, supportive of teammates and focused on quality, performance metrics, log analysis, and tech debt payoff. Effective Communication and Influence: Exhibit strong communication skills, capable of articulating complex technical concepts clearly and compellingly. Support teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The team : US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes and leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Key Qualifications : A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. 3+ years of experience in performance engineering, performance automation, and scripting/coding to design and conduct the following tests: load, stress, scalability, endurance, spike, volume, capacity, and latency, including test data management. Strong hands-on experience with LoadRunner and K6 is required. Hands-on experience with Dynatrace, PerfMon, and Cloud Monitoring services is required. Experience with cloud hyper-scalers like Azure, AWS, and GCP. Good understanding of methodologies and tools such as XP, Lean, SAFe, DevSecOps, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly. Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. How You will Grow: At Deloitte, our professional development plans focus on helping people at every level of their career to identify and use their strengths to do their best work every day and excel in everything they do. #CA-TB Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 306624

We are looking for an experienced Mainframe Network Engineer to join our infrastructure team. In this role, you will be responsible for designing, setting up, and supporting complex mainframe network systems that prioritize reliability, performance, and security. The ideal candidate will have strong hands-on experience with mainframe networking, network protocols, performance monitoring, and security best practices. You should also have a background in disaster recovery planning, connecting hardware components, working with virtualized environments, and integrating systems across different platforms. Strong problem-solving, documentation, and teamwork skills are key to ensuring smooth operations and supporting business goals. Key Responsibilities Product Install/Upgrade: Product installs/upgrades and maintenance for Multisess, Host on Demand, IBM Netview, Mainframe Consoles, CA Spool and Printer Managers. Design & Implementation: Architect and deploy mainframe network systems including VTAM, TCP/IP, and SNA configurations. Performance Monitoring: Analyze traffic, latency, and throughput using tools like OMEGAMON and RMF. Security Management: Enforce RACF policies, IP filtering, and encryption protocols (e.g., AT-TLS). Troubleshooting: Diagnose connectivity issues, protocol mismatches, and hardware faults. Disaster Recovery: Plan and execute failover strategies and backup procedures. Documentation: Maintain network diagrams, SOPs, and change records. Collaboration: Work with system programmers, DBAs, and application teams to ensure seamless integration. Qualifications Years of experience required: +15 yrs. Soft Skills Communication: Explaining technical issues to non-technical stakeholders. Problem-Solving: Diagnosing complex network failures and implementing solutions. Teamwork: Collaborating with cross-functional IT teams. Adaptability: Responding to evolving technologies and business needs. Attention to Detail: Ensuring precision in configuration and security. Time Management: Balancing multiple systems and priorities efficiently. Stress Management: Maintaining composure during outages or high-pressure incidents. Customer Orientation: Aligning technical decisions with business goals. Mentoring: Supporting junior staff and sharing knowledge. Conflict Resolution: Managing disagreements constructively within technical teams. Benefits Health Insurance, Accident Insurance. The salary will be determined based on several factors including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs. Additional Responsibilities Participate in OP monthly team meetings, and participate in team-building efforts. Contribute to OP technical discussions, peer reviews, etc. Contribute content and collaborate via the OP-Wiki/Knowledge Base. Provide status reports to OP Account Management as requested. About Us OP is a technology consulting and solutions company, offering advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields — including AI, cyber security, enterprise architecture, and beyond. Our most valuable asset is our people: dynamic, creative thinkers, who are passionate about doing quality work. As a member of the OP team, you will have access to industry-leading consulting practices, strategies & and technologies, innovative training & education. An ideal OP team member is a technology leader with a proven track record of technical excellence and a strong focus on process and methodology.

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III - Java Developer at JPMorgan Chase within the Commercial & Investment Bank Markets Technology - Equities Team, you will be part of best-in-class Order Management System (OMS) development teams in India. You will work with highly inspired and inquisitive teams of technologists , responsible for providing true multi-asset Sales Order and Trading Management platforms that will cover cash, swaps, listed options and futures. This being a key revenue generating platform for the group, we need world class technologists in what is a technically challenging, ever-changing business domain, where speed-to-market of technology solutions is often the driver of technology spend and decision-making. Job Responsibilities Be responsible for design, development, testing and implementation of Equities Order Management Systems. Define architecture patterns that support business and technical strategies. Work with a global development team and delivery new functionality and bug fixes Face off the business and document requirements when required Assist in rolling out releases and L3 support of the platform in production Proactively improving the process to ensure the quality of the deliverables and the efficiency of the team improves. Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 3+ years applied experience Strong academic record with Bachelor’s degree, equivalent or above in Engineering, Technology or a related discipline required. Hands-on software engineering experience through all phases of a software development lifecycle. Experience with development, deployment, and support of large-scale distributed applications in a mission-critical production environment. Technical expertise in Java/J2EE and low latency application development. Good knowledge of Linux, REST, SQL and algorithms. Experience on message/event driven applications using standard Messaging APIs like JMS. Excellent verbal and written skills are critical since this job primarily entails communicating technical information to both technical and non-technical audiences. Strong track record of driving and delivering results. Preferred Qualifications, Capabilities, And Skills Knowledge of AWS is a plus.

Job Title: Quant Developer / Algorithmic Developer – Crypto Trading Location: Remote / Hybrid Type: Full-time Experience: 3 to 7 Years Compensation: USDT Only About the Role We are looking for a highly skilled Quantitative Developer / Algorithmic Developer to join our team in building advanced, production-grade crypto trading systems. This role is ideal for someone who excels at the intersection of strategy development, high-performance Python programming, and system design — with a deep interest in cryptocurrency markets. You will be responsible for developing and optimizing algorithmic trading strategies, designing robust infrastructure, integrating with exchanges, and playing a critical role in converting research ideas into actionable and scalable trading logic. If you’re passionate about crypto markets and want to shape the next generation of intelligent trading systems, we’d love to connect. Key Responsibilities Design, build, and deploy crypto trading strategies across spot, futures, and derivatives. Translate strategy logic into efficient, high-quality Python code, with well-structured modules and reusable components. Work on data ingestion, labeling, and pattern recognition logic using real-time and historical market data. Integrate and customize machine learning/statistical models for signal generation, filtering, and risk control. Interface with exchange APIs (REST/WebSocket) for order placement, live market data, and account management. Manage data storage and retrieval using PostgreSQL, Redis, and other relevant tools. Optimize for latency, slippage, execution cost, and strategy robustness under varying market conditions. Develop and maintain FastAPI-based internal tools for monitoring, research, and strategy deployment. Collaborate closely with quant researchers, infra engineers, and traders to iterate on model improvements. Conduct post-trade analysis and continuous strategy performance evaluation. Required Skills & Qualifications Strong hands-on programming experience in Python (required); additional experience with C++ is a plus. Solid understanding of algorithmic trading systems, including signal development, execution logic, and risk constraints. Experience with data engineering, especially data labeling, pattern detection, and feature pipeline construction. Proficiency in working with PostgreSQL, Redis, and FastAPI. Good knowledge of crypto exchange APIs (WebSockets & REST), order types, and real-time data handling. Familiarity with quantitative strategy concepts (PnL attribution, Sharpe ratio, drawdowns, position sizing). Ability to build clean, maintainable code with attention to detail and performance. Prior experience with strategy development or backtesting frameworks. Deep curiosity about crypto markets, with a strong drive to build practical, alpha-generating systems. Preferred Qualifications Experience in systematic trading or algorithmic strategy implementation in crypto or traditional markets. Knowledge of pattern detection systems (e.g., SMC, market structure, candlestick/chart patterns). Exposure to machine learning models (supervised, ensemble, reinforcement learning) applied to financial data. Understanding of portfolio optimization, risk modeling, and capital allocation logic.

Job Title: Senior CV Engineer Location: Gurugram Experience: 6–10 Years CTC: Up to ₹ 60LPA Industry: AI Product Overview: We are hiring for our esteemed client, a Series-A funded deep-tech company building a first-of-its-kind app-based operating system for Computer Vision. The team specializes in real-time video/image inference, distributed processing, and high-throughput data handling using advanced technologies and frameworks. Key Responsibilities: Lead design and implementation of complex CV pipelines (object detection, instance segmentation, industrial anomaly detection). Own major modules from concept to deployment ensuring low latency and high reliability. Transition algorithms from Python/PyTorch to optimized C++ edge GPU implementations using TensorRT, ONNX, and GStreamer. Collaborate with cross-functional teams to refine technical strategies and roadmaps. Drive long-term data and model strategies (synthetic data generation, validation frameworks). Mentor engineers and maintain high engineering standards. Required Skills & Qualifications: 6–10 years of experience in architecting and deploying CV systems. Expertise in multi-object tracking, object detection, semi/unsupervised learning. Proficiency in Python, PyTorch/TensorFlow, Modern C++, CUDA. Experience with real-time, low-latency model deployment on edge devices. Strong systems-level design thinking across ML lifecycles. Familiarity with MLOps (CI/CD for models, versioning, experiment tracking). Bachelor’s/Master’s degree in CS, EE, or related fields with strong ML and algorithmic foundations. (Preferred) Experience with NVIDIA DeepStream, GStreamer, LLMs/VLMs, open-source contributions.

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Systems Engineering General Summary We are seeking a passionate and skilled AI/ML Engineer to join our cutting-edge Extended Reality (XR) Software team. In this role, you will work on next-generation XR products that blend the physical and digital worlds, leveraging artificial intelligence and machine learning to create immersive, intelligent, and responsive experiences. You will collaborate with cross-functional teams of researchers, engineers, and designers to build real-time AI/ML software optimized for XR platforms. A strong background in C++ or embedded firmware development is essential, as you will be working close to hardware and performance-critical systems. Key Responsibilities Design, develop, and optimize AI/ML models for XR applications such as computer vision, sensor fusion, gesture recognition, and spatial understanding. Implement real-time inference pipelines on embedded or edge devices. Collaborate with firmware and hardware teams to integrate ML models into XR systems. Analyze system performance and optimize for latency, power, and memory. Stay up to date with the latest research and trends in AI/ML and XR technologies. Contribute to the full lifecycle of product development—from prototyping to production. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. 1–10 years of industry experience in AI/ML engineering or embedded systems. Proficiency in C++ and/or embedded firmware development. Solid understanding of machine learning fundamentals and experience with frameworks like TensorFlow, PyTorch, or ONNX. Experience with deploying ML models on edge devices Familiarity with XR technologies (AR/VR/MR), sensor data processing, or 3D spatial computing. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. 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. 3078482

About Netskope Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security. Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Paris, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive. Visit us at Netskope Careers. Please follow us on LinkedIn and Twitter@Netskope. The Netskope Risk Insights team delivers complex, distributed and hybrid cloud systems that provide customers with a multidimensional view of the applications, devices and users on their network. We illuminate unsanctioned and unsupported applications and devices and track user behavior so customers can visualize and create policies to minimize risk. Risk analysis, policy enforcement, compliance and audit mechanisms are some customer use cases we satisfy. The team owns a scalable, cloud-managed on-prem and public cloud platform that hosts customer facing data plane and log parsing services. Thus, extending the Netskope cloud to the customer data center and public cloud environments. What’s In It For You In the Risk Insights team, you will wear multiple hats of manager, technical leader, influencer, coach and mentor. You will lead a growing engineering team focused on building cloud and on-prem services in the SaaS and IaaS space. Be an owner and influencer in a geographically distributed organization, partner with the Netskope business and interact with external customers. Opportunities to bridge the gap between cloud and on-prem solutions. What You Will Be Doing Lead, coach, mentor and inspire a team fostering a culture of ownership, trust, innovation and continuous improvement. Drive the strategic direction and technical leadership of the team Collaborate across organizations to ensure creation of a shared vision, roadmap and timely delivery of products/services Be accountable for a high quality software lifecycle Hands-on participant in technical discussions, designs and code development Build microservices, abstraction layers and platforms to make the hybrid and multi-cloud footprint low latency, cost efficient and customer friendly Required Skills And Experience 15+ years of demonstrable experience building services/products with 10+ years in a management role Effective verbal and written communication Demonstrable experience balancing business and engineering priorities Proven history of building customer focused high performing teams Comfortable with ambiguity and taking initiative to find and solve problems Experience contributing in a geographically distributed environment preferred Good understanding of distributed systems, data-structures and algorithms Strong background in designing scalable services with monitoring and alerting systems Programming in Python, Go, C/C++, etc. Experience working with CI/CD environments, automation frameworks Experience in designing and building RESTful services Knowledge of network security, databases, authentication & authorization mechanisms, messaging technologies, HTTP, TCP, Familiarity with file systems and data storage technologies (e.g. ceph, NFS, etc.) Experience building and debugging software on Linux platforms Experience working with docker, kubernetes (K8s), public clouds (AWS, GCP, Azure, etc.) Education B.tech or equivalent required, Master's or equivalent strongly preferred Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate. Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details.

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the Team Roku pioneered TV streaming and continues to innovate and lead the industry. Continued success relies on investing in the Roku Content Platform, so we deliver high quality streaming TV experience at a global scale. As part of our Content Platform team you join a small group of highly skilled engineers, that own significant responsibility in crafting, developing and maintaining our large-scale backend systems, data pipelines, storage, and processing services. We provide all insights in regard to all content on Roku Devices. About the Role We are looking for a Senior Software Engineer with vast experience in backend development, Data Engineering and Data Analytics to focus on building next level content platform and data intelligence, which empowers Search, Recommendation, and many more critical systems across Roku Platform. This is an excellent role for a senior professional who enjoys a high level of visibility, thrives on having a critical business impact, able to make critical decisions and is excited to work on a core data platform component which is crucial for many streaming components at Roku. What You’ll Be Doing Work closely with product management team, content data platform services, and other internal consumer teams to contribute extensively to our content data platform and underlying architecture. Build low-latency and optimized streaming and batch data pipelines to enable downstream services. Build and support our Micro-services based Event-Driven Backend Systems & Data Platform. Design and build data pipelines for batch, near-real-time, and real-time processing. Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects. We’re excited if you have 8+ years professional experience as a Software Engineer. Proficiency in Java/Scala/Python. Deep understanding of backend technologies, architecture patterns, and best practices, including microservices, RESTful APIs, message queues, caching, and databases. Strong analytical and problem-solving skills, data structures and algorithms, with the ability to translate complex technical requirements into scalable and efficient solutions. Experience with Micro-service and event-driven architectures. Experience with Apache Spark and Apache Flink. Experience with Big Data Frameworks and Tools: MapReduce, Hive, Presto, HDFS, YARN, Kafka, etc. Experience with Apache Airflow or similar workflow orchestration tooling for ETL. Experience with cloud platforms: AWS (preferred), GCP, etc. Strong communication and presentation skills. BS in Computer Science; MS in Computer Science preferred. AI literacy and curiosity.You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet. By providing your information, you acknowledge that you have read our Applicant Privacy Notice and authorize Roku to process your data subject to those terms.

Role Wireless Network Engineer experience 5+ years location delhi ncr hyderabad jd Job Summary: We are seeking a highly experienced Level 3 Wireless Network Engineer with deep expertise in both Cisco and Aruba wireless technologies . The ideal candidate will lead the design, deployment, troubleshooting, and optimization of enterprise-grade wireless infrastructures. You will act as a subject matter expert (SME), resolving high-level wireless issues and driving continuous improvements in performance, scalability, and security. Key Responsibilities: Design and deploy large-scale wireless LAN (WLAN) environments using Cisco WLCs and Aruba (Mobility Controllers, Instant APs, Central). Optimize channel planning , band steering , and power level adjustments to reduce interference and maximize coverage. Architect and implement high-availability wireless designs , including N+1 controller redundancy, LAGs, VRRP/HA groups. Administer Cisco WLCs (9800) and Aruba Mobility Controllers (MM/MC architecture) . Configure WLANs, SSIDs, AAA policies, and AP groups with role-based access control (RBAC). Implement Fast Roaming (802.11r/k/v) , bandwidth throttling , application visibility , and WIPS/WIDS . Manage firmware upgrades , controller failovers , and AP image preloading strategies. Integrate with RADIUS servers (ISE, forescout) for 802.1X authentication. Configure Guest access portals , MAC-based authentication , and Captive Portals (internal and external). Analyze wireless packet captures using Wireshark , or Aruba AirWave/Central . Resolve L2/L3 roaming issues, high latency, client disconnections, and interference problems. Monitor KPIs like SNR, RSSI, retransmission rates, and throughput to identify RF anomalies. Correlate client issues using Aruba Central Required Skills & Experience: 5+ years of experience in enterprise wireless networking . Strong hands-on expertise in both Cisco and Aruba wireless ecosystems . Proficiency with: Cisco Wireless LAN Controllers (9800 Series, AireOS, Catalyst APs) Aruba Controllers , Instant APs , Aruba Central , AirWave Wireless security protocols : WPA2/WPA3, 802.1X, PSK, MAC auth Authentication systems : Cisco ISE RF tuning , mesh networks , client load balancing , high-density deployment Strong understanding of Layer 2/3 networking , VLANs , Multicast , QoS , and DHCP relay . Comfortable with CLI (Cisco IOS/XE, Aruba OS) and web-based UIs . Experience with cloud-managed wireless solutions (Aruba Central, Cisco Meraki is a plus). Familiarity with Wi-Fi 6 and Wi-Fi 6E features and limitations. Preferred Certifications: Cisco Certified Specialist – Enterprise Wireless Aruba Certified Mobility Professional (ACMP) Soft Skills: Strong analytical and troubleshooting skills. Excellent documentation and communication abilities. Proven leadership in high-severity incidents and RCA investigations. Capable of mentoring L1/L2 engineers and leading knowledge transfer sessions. Ability to manage multiple priorities and work independently.

Company Description At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Job Description Nielsen’s Lineup & Metadata services are the definitive source of channel line-ups, program schedules, and content identifiers that power our audience-measurement products. Accuracy, coverage, and near-real-time delivery are mission-critical: they directly influence ratings quality, client billing, and viewer discovery. The Member of Technical Staff 2(MTS2) is ultimately responsible for delivering technical solutions: starting from the project's onboard until post launch support and including development, testing and user acceptance. Qualifications Responsibilities System Deployment: Build new UI screens and client‑side capture logic in React (TypeScript). Create/extend Java (Spring Boot) micro‑services and GraphQL / REST endpoints. Model and persist data in PostgreSQL / Aurora and S3 / Parquet for analytics. CI/CD Implementation: Leverage CI/CD pipelines for automated build, test, and deployment processes. Ensure continuous integration and delivery of features, improvements, and bug fixes. Code Quality and Best Practices: Adhere to coding standards, best practices, and design principles. Participate in code reviews and provide constructive feedback to maintain high code quality. Performance Optimization: Profile React bundles, optimise API latency, instrument with Prometheus/Grafana, and help triage production issues. Team Collaboration: Follow best practices. Collaborate with cross-functional teams to ensure a cohesive and unified approach to software development. Security and Compliance: Implement security best practices for both client and upload components. Adhere to industry standards and regulations related to web application security. Key Skills Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related field. Frontend: React (16+), TypeScript, Redux/Context, Jest/RTL. Backend: Java 17, Spring Boot, REST/GraphQL, Kafka or Kinesis. Databases: SQL (PostgreSQL), MongoDB, schema design, performance tuning Testing: JUnit 5, Cypress/Playwright, Pact/contract testing. Good understanding of CI/CD principles and tools. Good problem-solving and debugging skills. Good communication and collaboration skills with ability to communicate technical concepts Utilizes team collaboration to contribute to innovative solutions efficiently Other Good To Have Skills Exposure to the AWS tech stack. Working knowledge of Java and SQL Additional Information Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Details: Job Description Stefanini Group is a multinational company with a global presence in 41 countries and 44 languages, specializing in technological solutions. We believe in digital innovation and agility to transform businesses for a better future. Our diverse portfolio includes consulting, marketing, mobility, AI services, service desk, field service, and outsourcing solution Software Developer Must have deep technical expertise in different Dynatrace components. They will provide technical Assistance and consulting across the organization, including project-level planning for Dynatrace rollouts. They will Help/Mentor other application teams of all levels, and helping to grow future talent within the organization, and to gain the most value from the product. Job Requirements Details: Mandatory Skills Minimum of 2-3 years of experience on administration of Dynatrace and on-boarding complex applications to enterprise APM tool Dynatrace associate/ professional certifications are preferred Minimum of 3 years of experience with on-premises infrastructure and applications, cloud hosted Infrastructure-as-a-Service and Platform-as-a-Service capabilities including virtual networks, virtual machines and data services. Proficiency in configuring, managing, and troubleshooting Dynatrace environments Experience with performance data analysis, performance tuning, and performance monitoring for SaaS/Cloud based applications Ability to perform technical assessment, requirement capture and analysis, workload modelling, Scripting, dashboards or scorecards Ability to understand Dynatrace monitoring tools and processes Hands-on experience with scripting languages and development Nice to have Expertise in Migration Dynatrace from one Tenant to other Expertise in implementing and creating Dynatrace Extensions/ Plugins Collaborates with end users and senior management to define business requirements for complex systems development and gain buy-in for all monitoring plans. Responsible for ensuring non-functional requirements for performance (such as throughput, latency, memory usage, etc.) are identified, implemented and met. Develop models for performance testing based on software activity. Identify and report performance bottlenecks. Good to have knowledge on ITSM tools like BMC/ Servicenow/Splunk

Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software. We are seeking AI Backend Engineers to play a pivotal role in building our Agentic Workflow Service and Retrieval-Augmented Generation (RAG) Service. In this hybrid role, you'll leverage your expertise in both backend development and machine learning to create robust, scalable AI-powered systems using AWS Kubernetes, Amazon Bedrock models, AWS Strands Framework, and LangChain / LangGraph. Understanding of and expertise in: Design and implement core backend services and APIs for agentic framework and RAG systems LLM-based applications using Amazon Bedrock models RAG systems with advanced retrieval mechanisms and vector database integration Implement agentic workflows using technologies such as AWS Strands Framework, LangChain / LangGraph Design and develop microservices that efficiently integrate AI capabilities Create scalable data processing pipelines for training data and document ingestion Optimize model performance, inference latency, and overall system efficiency Implement evaluation metrics and monitoring for AI components Write clean, maintainable, and well-tested code with comprehensive documentation Collaborate with multiple multi-functional team members including DevOps, product, and frontend engineers Stay ahead of with the latest advancements in LLMs and AI agent architectures Minimum Experience Requirements 6+ years of total software engineering experience Backend Development Experience With Strong Python Programming Skills Experience in ML/AI engineering, particularly with LLMs and generative AI applications Experience with microservices architecture, API design, and asynchronous programming Demonstrated experience building RAG systems and working with vector databases LangChain/LangGraph or similar LLM orchestration frameworks Solid understanding of AWS services, particularly Bedrock, Lambda, and container services Experience with containerization technologies and Kubernetes Understanding of ML model deployment, serving, and monitoring in production environments Knowledge of prompt engineering and LLM fine-tuning techniques Excellent Problem-solving Abilities And System Design Skills Strong communication skills and ability to explain complex technical concepts Experience in Kubernetes, AWS Serverless Experience in working with Databases (SQL, NoSQL) and data structures Ability to learn new technologies quickly Preferred Qualifications: Must have AWS certifications - Associate Architect / Developer / Data Engineer / AI Track Must have familiarity with streaming architectures and real-time data processing Must have experience with ML experiment tracking and model versioning Must have understanding of ML/AI ethics and responsible AI development Experience with AWS Strands Framework Knowledge of semantic search and embedding models Contributions to open-source ML/AI projects We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We are Siemens A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme, generous holiday allowance, pension, and private healthcare. Siemens Software. ‘Transform the everyday' , #SWSaaS

Role Datacenter Network Engineer experience 5+ years location delhi noida hyderabad jd We are seeking a seasoned Level 3 Datacenter Network Engineer with in-depth experience in Cisco and Aruba networking technologies . The ideal candidate will lead the design, implementation, and troubleshooting of high-performance data center infrastructure with a focus on high availability, security, and scalability . You will serve as a technical SME for complex network problems, architecture decisions, and cross-platform integrations in modern hybrid environments. Key Responsibilities: Design & Architecture: Design and deploy resilient, high-speed, low-latency network topologies across data center fabric using Cisco Nexus (3K/5K/7K/9K) and Aruba CX switches. Architect Layer 2/Layer 3 networks with: VXLAN/EVPN overlays BGP EVPN , OSPF , LACP VPC, MLAG, VSX Design and implement fabric-based topologies and Spine-Leaf architectures .. Configure Cisco Nexus (NX-OS) and Aruba CX (AOS-CX) Deploy and manage L2/L3 segmentation , VRFs , VLANs , SVIs , Private VLANs , and inter-VLAN routing . Implement routing redistribution , policy-based routing , HSPR/VRRP/GLBP , and route filtering . Work with overlay technologies (VXLAN, LISP) and underlay IP fabric (BGP/OSPF). Automation & Monitoring: Automate provisioning using Ansible, Python , or REST APIs for Aruba CX and Cisco Nexus (via NX-API or Cisco DNAC). Utilize NetEdit (Aruba) , Aruba Fabric Composer , and Cisco DCNM or APIC for centralized management. Perform capacity planning , failover testing , and performance tuning of the datacenter network. Lead root cause analysis (RCA) and troubleshooting of L2/L3 issues, link flaps, STP/RSTP, convergence issues, or fabric-related errors. Serve as Tier 3 escalation point for critical incidents and collaborate with vendors (TAC/Support). Create detailed network diagrams , HLDs/LLDs , and SOPs for operational teams. Perform firmware upgrades , code validation , and manage change controls (ITIL-based processes). Required Skills & Experience: 5+years of experience in enterprise or data center networking . Deep hands-on experience with: Cisco Nexus platforms (9K, 7K, 5K, 3K) running NX-OS Aruba CX switches (6300, 6400, 8325, 8400) with AOS-CX Fabric technologies : VxLAN/EVPN, VSX, MLAG, VPC, LAG Routing protocols : BGP, OSPF, static routing L2 protocols : STP, RSTP, MST, LACP, CDP/LLDP Expertise in: CLI troubleshooting Packet captures with SPAN/RSPAN QoS design , queuing strategies, and buffer tuning Dual-stack networking (IPv4/IPv6) Preferred Certifications: Cisco Certified Network Professional (CCNP – Data Center or Enterprise) Soft Skills: Excellent troubleshooting and diagnostic skills under pressure. Strong documentation, diagramming, and presentation abilities. Self-driven with the ability to work independently and lead projects. Clear communication across technical and business teams. Ability to mentor junior engineers and support staff.

Job Title: Senior Audio Hardware Engineer Location: Thane, MH About the Role: Namaskaram! We are looking for a highly skilled Audio Hardware Engineer to join our team and design and develop advanced audio systems for our next-generation products. In this role, you will be responsible for architecting and implementing high-performance audio hardware subsystems—from microphones and speakers to amplifiers and audio codecs. Key Responsibilities: Design, prototype, and validate analog and digital audio circuits, including microphone arrays, speaker drivers, amplifiers, and codecs. Schematic design, PCB layout reviews, and bring-up of audio hardware. Conduct in-depth analysis and optimization of audio quality, including signal integrity, noise reduction, echo cancellation, and distortion control. Evaluate and select audio components (MEMS mics, DACs/ADCs, amps, etc.) based on performance, cost, and power consumption. Own the hardware validation and test plan for audio systems using test equipment such as Audio Precision, oscilloscopes, and spectrum analyzers. Work closely with manufacturing partners to resolve issues related to audio hardware during prototyping and mass production. Required Qualifications: Bachelor’s or Master’s degree in Electrical Engineering, Electronics, or a related field. 5+ years of hands-on experience in audio hardware design and development. Proven experience with audio signal path design, including both analog and digital domains. Proficiency with schematic capture and PCB layout tools (e.g., Altium Designer, Cadence). Experience with electroacoustic testing, tuning, and validation. Strong understanding of audio performance metrics (THD+N, SNR, latency, etc.). Familiarity with EMI/EMC mitigation techniques and low-noise analog design. Experience working on consumer electronics, wearables, or AR/VR products is a strong plus. Nice to Have: Experience with beamforming, active noise cancellation (ANC), or echo cancellation (AEC). Understanding of Bluetooth audio (A2DP, BLE Audio) and relevant audio transmission standards. Familiarity with voice assistants and wake-word detection architectures. Experience collaborating with DSP and algorithm teams.

Job Title: Business Analyst Lead – Generative AI Experience: 7–15 Years Location: Bangalore Designation Level: Lead Role Overview: We are looking for a Business Analyst Lead with a strong grounding in Generative AI to bridge the gap between innovation and business value. In this role, you'll drive adoption of GenAI tools (LLMs, RAG systems, AI agents) across enterprise functions, aligning cutting-edge capabilities with practical, measurable outcomes. Key Responsibilities: 1. GenAI Strategy & Opportunity Identification Collaborate with cross-functional stakeholders to identify high-impact Generative AI use cases (e.g., AI-powered chatbots, content generation, document summarization, synthetic data). Lead cost-benefit analyses (e.g., fine-tuning open-source models vs. adopting commercial LLMs like GPT-4 Enterprise). Evaluate ROI and adoption feasibility across departments. 2. Requirements Engineering for GenAI Projects Define and document both functional and non-functional requirements tailored to GenAI systems: Accuracy thresholds (e.g., hallucination rate under 5%) Ethical guardrails (e.g., PII redaction, bias mitigation) Latency SLAs (e.g., <2 seconds response time) Develop prompt engineering guidelines, testing protocols, and iteration workflows. 3. Stakeholder Collaboration & Communication Translate technical GenAI concepts into business-friendly language. Manage expectations on probabilistic outputs and incorporate validation workflows (e.g., human-in-the-loop review). Use storytelling and outcome-driven communication (e.g., “Automated claims triage reduced handling time by 40%.”) 4. Business Analysis & Process Modeling Create advanced user story maps for multi-agent workflows (AutoGen, CrewAI). Model current and future business processes using BPMN to reflect human-AI collaboration. 5. Tools & Technical Proficiency Hands-on experience with LangChain, LlamaIndex for LLM integration. Knowledge of vector databases, RAG architectures, LoRA-based fine-tuning. Experience using Azure OpenAI Studio, Google Vertex AI, Hugging Face. Data validation using SQL and Python; exposure to synthetic data generation tools (e.g., Gretel, Mostly AI). 6. Governance & Performance Monitoring Define KPIs for GenAI performance: Token cost per interaction User trust scores Automation rate and model drift tracking Support regulatory compliance with audit trails and documentation aligned with EU AI Act and other industry standards. Required Skills & Experience: 7–10 years of experience in business analysis or product ownership, with recent focus on Generative AI or applied ML. Strong understanding of the GenAI ecosystem and solution lifecycle from ideation to deployment. Experience working closely with data science, engineering, product, and compliance teams. Excellent communication and stakeholder management skills, with a focus on enterprise environments. Preferred Qualifications: Certification in Business Analysis (CBAP/PMI-PBA) or AI/ML (e.g., Coursera/Stanford/DeepLearning.ai) Familiarity with compliance and AI regulations (GDPR, EU AI Act). Experience in BFSI, healthcare, telecom, or other regulated industries.

Qualification: B.E./B.Tech in ECE, CSE, IT, EEE, or equivalent (AICTE/UGC recognized)Key Responsibilities* Supervise and monitor design, deployment & maintenance of network infrastructure* Oversee installation, configuration, and testing of routers, switches, GPON/OLT/ONT* Conduct field-level quality checks to ensure project compliance* Support troubleshooting for network connectivity & configuration issues* Monitor performance metrics – latency, signal strength, throughput* Maintain detailed site visit logs, test reports & quality documentation* Ensure network security protocols and standard practices are followed* Coordinate with PIAs, OEMs, and State NOC for validations and performance reviews- Travel across district project sites as required under the Bharat Net implementation plan Preferred Skills* Knowledge of Fiber Optics, GPON, IP/MPLS, L2/L3 Networking* Hands-on experience with network testing tools & signal analysis* Strong communication, problem-solving, and teamwork skills- Willingness to travel extensively across project locations Interested candidates can share their CV at cv@medhaj.com and mark your cc jhooma@medhaj.com if any query please call or whatsApp #8090454724 Job Type: Full-time Pay: ₹13,800.00 - ₹15,000.00 per month Benefits: Cell phone reimbursement Work Location: In person

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Role Overview We are looking for a highly skilled Senior Engineer who will lead SSD failure analysis (FA) , debug , and performance validation activities for NVMe-based products. This role is execution-focused with a deep emphasis on hands-on debugging, test script ownership, and performance analysis, while firmware development is secondary. Key Responsibilities Own and lead first-level FA and debug of SSD firmware issues — triage logs, isolate failures, and identify root causes. Drive execution of validation and performance testing , including tracking test failures, generating debug reports, and working with developers to implement fixes. Develop, maintain, and optimize performance test scripts (e.g., IOPS, latency, throughput) for SSD firmware validation. Perform latency profiling, throughput analysis , and trace interpretation to identify bottlenecks or firmware-level inefficiencies. Analyze logs from NVMe/PCIe-based SSD systems to identify protocol-level or firmware-level faults. Support issue recreation in lab setups , handle escalations from validation or system teams, and communicate findings clearly. Coordinate with cross-functional teams (firmware dev, validation, hardware, product engineering) to drive quick resolution. Maintain and enhance debug infrastructure, trace capture frameworks, and automation tools for validation teams. Contribute to execution strategy, milestone planning, and prioritization of critical firmware issues for closure. Act as a technical bridge between validation and firmware development teams. Required Experience 4–8 years in SSD firmware domain, specifically in execution, debug, and failure analysis . Strong knowledge of NVMe protocol , NAND flash management, and SSD architecture. Hands-on experience with performance metrics , latency breakdowns , and system profiling . Strong debugging skills with tools like serial logs, logic analyzers, JTAG, and trace decoders. Ability to write, debug, and manage performance-related test scripts (Python, Bash, or similar). Experience with defect tracking tools (e.g., Jira), log analysis, and execution dashboards. Understanding of embedded environments; ARM architecture and C/C++ familiarity is a plus (reading/modifying code only). About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_india@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

About Us: Please be aware we have noticed an increase in hiring scams potentially targeting Seismic candidates. Read our full statement on our Careers page. Seismic is the global leader in AI-powered enablement, empowering go-to-market leaders to drive strategic growth and deliver exceptional customer experiences at scale. The Seismic Enablement Cloud™ is the only unified AI-powered platform that prepares customer-facing teams with the skills, content, tools, and insights needed to maximize every buyer interaction and strengthen client relationships. Trusted by more than 2,000 organizations worldwide, Seismic helps businesses achieve measurable outcomes and accelerate revenue growth. Seismic is headquartered in San Diego with offices across North America, Europe, Asia and Australia. Learn more at seismic.com. Seismic is committed to building an inclusive workplace that ignites growth for our employees and creates a culture of belonging that allows all employees to be seen and valued for who they are. Learn more about DEI at Seismic here . Overview: Join us at Seismic, a cutting-edge technology company leading the way in the SaaS industry. We specialize in delivering modern, scalable, and multi-cloud solutions that empower businesses to succeed in today's digital era. Leveraging the latest advancements in technology—including Generative AI—we are committed to driving innovation and transforming how enterprise organizations operate. As part of our continued growth, we are expanding our AI and Software Engineering team in Hyderabad, India, and looking for an Engineering Manager to help scale our AI-driven applications and integrations. As an Engineering Manager – AI and Software Engineering, you will lead and manage a team of engineers focused on delivering scalable and intelligent AI capabilities across the Seismic platform and external integrations. Your team will be responsible for engineering solutions that interconnect Seismic’s core AI capabilities with the broader enterprise ecosystem—including Microsoft Teams, M365 Copilot, Salesforce Agentforce, and evolving frameworks such as MCP (Model Context Protocol). This role is ideal for a hands-on technical manager who is excited about building infrastructure and services that interoperate across complex ecosystems while enabling consistent, secure, and intelligent user experiences Seismic AI: AI is one of the fastest growing product areas in Seismic. We believe that AI, particularly Generative AI, will empower and transform how Enterprise sales and marketing organizations operate and interact with customers. Seismic Aura, our leading AI engine, is powering this change in the sales enablement space and is being infused across the Seismic enablement cloud. Our focus is to leverage AI across the Seismic platform to make our customers more productive and efficient in their day-to-day tasks, and to drive more successful sales outcomes. Why Join Us: Opportunity to be a key technical leader in a rapidly growing company and drive innovation in the SaaS industry. Work with cutting-edge technologies and be at the forefront of AI advancements. Competitive compensation package, including salary, bonus, and equity options. A supportive, inclusive work culture. Professional development opportunities and career growth potential in a dynamic and collaborative environment. Who you are:: Experience : 7+ years of experience in software engineering with at least 2 years in a leadership or management role. AI Expertise: Proficiency in building and deploying Generative AI use cases. Experience with Generative AI applications. Technical Expertise: Experience with backend development using one or multiple languages, such as Python, C# and .NET, unit testing, object-oriented programming, and relational databases. Experience with Infrastructure as Code (Terraform, Pulumi, etc.), event-driven architectures with tools like Kafka, and feature management (Launch Darkly) is good to have. Front-end/full-stack experience is a plus. Cloud Expertise: Experience with cloud platforms like AWS, Google Cloud Platform (GCP), or Microsoft Azure. Knowledge of cloud-native services for AI/ML, data storage, and processing. Experience deploying containerized applications into Kubernetes. SaaS Knowledge: Extensive experience in SaaS application development and cloud technologies, with a deep understanding of modern distributed system and cloud operational infrastructure. Ecosystem Integration Experience : Familiarity with Microsoft 365 extensibility models, Microsoft Teams development, Salesforce integration, and AI orchestration environments (such as MCP or similar agent-based coordination layers) Product Development : Proven ability to translate product needs into scalable solutions. Experience working in SaaS environments and collaborating across functions. Education : Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Mindset : Proactive, hands-on, and delivery-focused, with a strong sense of accountability and attention to detail. What you'll be doing:: Team Leadership and Management: Lead, mentor, and manage a team of engineers, fostering a culture of collaboration, innovation, and continuous learning. Provide performance feedback, career development, and technical guidance to team members. Technology and Architecture Development: Define and drive the AI and software technology and architectural directions, ensuring alignment with business goals and product roadmaps. AI Platform Integration : Oversee the engineering of integrations between Seismic’s AI services and external systems, including Microsoft Teams, M365 Copilot, Salesforce Agentforce, and related enterprise platforms. AI Ecosystem : Track and adopt evolving protocols, APIs, and standards in the AI ecosystem, ensuring that Seismic remains interoperable, extensible, and enterprise-ready. Technical Execution : Guide backend and integration architecture, ensuring the performance, reliability, and security of AI-driven services across multiple environments. Cross-functional Collaboration : Work closely with product managers, data scientists, engineers, and design teams to deliver features that balance performance, privacy, and usability. Project Delivery : Own delivery pipelines from planning through production, including code quality, deployment readiness, and observability of production systems. Metrics & Monitoring : Define and monitor KPIs for integration reliability, data flow, latency, and system interoperability. Job Posting Footer: If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please click here. Headquartered in San Diego and with employees across the globe, Seismic is the global leader in sales enablement , backed by firms such as Permira, Ameriprise Financial, EDBI, Lightspeed Venture Partners, and T. Rowe Price. Seismic also expanded its team and product portfolio with the strategic acquisitions of SAVO, Percolate, Grapevine6, and Lessonly. Our board of directors is composed of several industry luminaries including John Thompson, former Chairman of the Board for Microsoft. Seismic is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, age, race, religion, or any other classification which is protected by applicable law. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Linkedin Posting Section: #LI-ST1

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: CI/CD Pipeline Management Design, implement, and maintain Continuous Integration and Continuous Deployment (CI/CD) pipelines Automate testing, building, and deployment processes to ensure rapid and reliable software delivery Infrastructure as Code (IaC) Use tools like Terraform, Ansible, or AWS CloudFormation to manage infrastructure programmatically Maintain version-controlled infrastructure for consistency and scalability Monitoring and Logging Set up and manage monitoring tools (e.g., Prometheus, Grafana, ELK stack) to ensure system health and performance Implement alerting systems to proactively detect and resolve issues Cloud and Containerization Deploy and manage applications in cloud environments (AWS, Azure, GCP) Use containerization tools like Docker and orchestration platforms like Kubernetes Security and Compliance Integrate security practices into the DevOps lifecycle (DevSecOps) Conduct vulnerability scans, manage secrets, and ensure compliance with industry standards Collaboration and Support Work closely with development, QA, and operations teams to streamline workflows Provide support for development environments and troubleshoot deployment issues Performance Optimization Analyze system performance and implement improvements to reduce latency and increase throughput Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: B.Tech/MCA (16+ years of formal education, correspondence courses are not relevant) 6+ years of work experience in Product companies Solid hands-on experience with AWS services (EC2, S3, RDS, Lambda, VPC, IAM, etc.) Experience in deploying scalable solutions to complex problems, from defining the problem, implementing the solution, and launching the new product successfully Knowledge of Statistics, Machine Learning Models, Model Deployment, Generative AI Knowledge of networking concepts, DNS, load balancing, and firewalls Exposure to agile development process Proven proactive approach to spotting problems, areas for improvement, and performance bottlenecks Proven excellent communication, writing and presentation skills Desire to be proactive and work towards implementing Preferred Qualifications: AWS certifications (e.g., AWS Certified DevOps Engineer, Solutions Architect) Azure basic knowledge Familiarity with serverless architecture and tools (e.g., AWS Lambda, API Gateway) Exposure to Agile/Scrum methodologies At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Leadership & Strategy Lead and mentor cross-functional teams focused on AI/ML incubation and engineering enablement Define and drive the strategic roadmap for innovation initiatives and technical enablement Foster a culture of experimentation, rapid iteration, and continuous learning Incubation & Innovation Identify, evaluate, and incubate high-impact AI/ML ideas aligned with business goals Oversee the development of proof-of-concepts (PoCs) and prototypes to validate new technologies and approaches Collaborate with product, research, and business stakeholders to prioritize and refine ideas Engineering Enablement Build and scale internal platforms, tools, and frameworks to accelerate AI/ML development Establish best practices, coding standards, and reusable components for AI/ML engineering Provide technical guidance and support to engineering teams adopting AI/ML technologies Collaboration & Communication Act as a bridge between research, engineering, and product teams to ensure alignment and knowledge transfer Present technical concepts and project outcomes to executive leadership and stakeholders Promote knowledge sharing through documentation, workshops, and internal communities of practice Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field 10+ years of experience in software engineering with 3+ years in management Experience in React, JavaScript, TypeScript, Node.js, React Native, Java, Python, and Spring Boot Frameworks Experience in Data Management of RDBMS and NoSQL Experience in building/managing CI/CD pipelines of Jenkins, Github Actions etc. Proven experience in AI/ML technologies, including model development, deployment, and MLOps Solid understanding of cloud platforms (e.g. Azure, GCP) with hands-on experience on AWS and Terraforms Proven excellent communication, collaboration, and organizational skills Preferred Qualifications: Experience with LLMs, generative AI, or reinforcement learning Experience with agile methodologies and startup-like environments Familiarity with open-source AI/ML tools and frameworks (e.g., TensorFlow, PyTorch, MLflow) Knowledge of Machine Learning Algorithms: Supervised, unsupervised, reinforcement learning Knowledge of Model Evaluation: Precision, recall, F1-score, ROC-AUC Knowledge of Data Preprocessing: Feature engineering, normalization, handling missing data Knowledge of Responsible AI: Fairness, explainability (XAI), bias mitigation Knowledge of AutoML: Hyperparameter tuning, model selection automation Knowledge of Federated Learning & Edge AI: For privacy-preserving and low-latency applications Deep Learning: CNNs, RNNs, Transformers, GANs Background in innovation labs, R&D, or technical incubation environments At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.