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Assists in the execution of the Shure IT Security Roadmap and all aspects of cybersecurity across IT projects and technologies. This position requires excellent understanding of information security concepts, protocols, tools, and industry best practices. The individual will implement security measures that effectively safeguard sensitive data in the event of a cyber-attack. The role is highly collaborative, involving frequent interaction with various members of the IT team and the business at large. It also requires the ability to lead change within the business by leveraging strong communication, problem-solving, and time management skills. This person will also support the Security Operations Center (SOC) and incident response efforts. Responsibilities Representative Duties: (Include only the duties that account for 5% or more of the work) Executes security controls, defenses, and countermeasures to protect Shure from external and internal threats. Assists in the development and implementation of an incident response, vulnerability management, and privileged access management program. Configures, troubleshoots, and maintains security infrastructure software and hardware. Identifies, defines, and documents system security requirements and recommends solutions to management. Conducts penetration testing and vulnerability assessments of software, hardware, and cloud environments. Configures and tunes systems to identify anomalous behavior and set up preventive measures. Identifies, investigates, and responds to information security alerts and incidents. Supports the SOC and incident response efforts, providing expertise and assistance as needed. Focuses on continuous improvement of detection and response capabilities through automation and critical thinking. Researches and investigates the potential impact of new threats and exploits and recommends solutions to management. Provides guidance on risks, vulnerabilities, or potential vulnerabilities within the architecture. Evaluates system security configurations to ensure efficacy and compliance with policies and procedures. Other duties as assigned. Qualifications Requirements: (1 year of college is equivalent to 2 years of experience) Bachelor’s degree in a related field. Minimum of 7 or more years of work experience with progressive responsibilities in IT, preferably within a security, system administration, or endpoint administration team. Proven experience developing, operating, and maintaining security systems. Extensive knowledge of operating system security, networking technologies, network security, email security, anti-virus applications, content filtering, firewalls, authentication systems, and intrusion detection and prevention systems. Familiarity with AWS security tools (such as Security Hub, Inspector, and others), MDR tools (such as Cybereason), Cisco security tools, privileged access management software tools, vulnerability management tools, cloud security tools, and Active Directory is a plus. Demonstrated ability to work on complex assignments. Exercises judgment in selecting methods, techniques, and evaluation criteria for obtaining results. Determines methods on new assignments. Who We Are Shure’s mission is to be the most trusted audio brand worldwide – and for nearly a century, our Core Values have aligned us to be just that. Founded in 1925, we are a leading global manufacturer of audio equipment known for quality, reliability, and durability. We engineer microphones, headphones, wireless audio systems, conferencing systems, and more. And quality doesn’t stop at our products. Our talented teams strive for perfection and innovate every chance they get. We offer an Associate-first culture, flexible work arrangements, and opportunity for all. Shure is headquartered in United States. We have more than 35 regional sales offices, engineering hubs, and manufacturing facilities throughout the Americas, EMEA, and Asia. THE MIX MATTERS Don’t check off every box in the job requirements? No problem! We recognize that every professional journey is unique and are committed to providing an equitable candidate experience for all prospective Shure Associates. If you’re excited about this role, believe you’ve got the skills to be successful, and share our passion for creating an inclusive, diverse, equitable, and accessible work environment, then apply!

Role Description Role Proficiency: Interprets data and analyses results using statistical techniques under supervision Outcomes Complies and assist in mining and acquiring data from primary and secondary sources; reorganizing the data in a format that can be easily read by either a machine or a person Assist in identifying analyzing and interpreting trends or patterns in data sets' generating insights and helping clients make better decisions. Conducts research on specific data sets to enable the senior analysts in their work Assist in managing master data including creation updates and deletions. Help developing reports and analysis that effectively communicate trends patterns and predictions using relevant data. Provide support with technical writing and editing as required Develop analytics to identify trend lines across several data sources within the organization Assists senior analysts in examining and evaluate existing business processes and systems and offer suggestion for changes Set FAST goals Measures Of Outcomes Schedule adherence on tasks Quality – errors in data presentation and interpretation Number of business processes changes highlighted due to vital analysis. Number of stakeholder appreciations/escalations Number of customer appreciations No: of mandatory trainings completed Outputs Expected Data Mining: Acquiring data from various sources Reorganizing/Filtering Data Consider only relevant data from the mined data and convert it into a format which is consistent and analysable. Analysis Use statistical methods to analyse data and generate useful results. Create Data Models Use data to create models that depicts trends in the customer base and the consumer population as a whole Create Reports Create reports depicting the trends and behaviours from the analysed data Document Create documentation for own work as well as perform peer review of documentation of others' work Manage Knowledge Consume and contribute to project related documents share point libraries and client universities Status Reporting Report status of tasks assigned Comply with project related reporting standards/process Code Create efficient and reusable code. Follows coding best practices. Code Versioning Organize and manage the changes and revisions to code. Use a version control tool like git bitbucket etc. Quality Provide quality assurance of imported data working with quality assurance analyst if necessary. Performance Management Set FAST Goals and seek feedback from supervisor Skill Examples Analytical Skills: Ability to work with large amounts of data: facts figures and number crunching. Communication Skills: Ability to present findings or translate the data into understandable documents Critical Thinking: Ability to look at the numbers trends and data; coming up with new conclusions based on the findings. Attention to Detail: Making sure to be vigilant in the analysis; coming up with accurate conclusions. Quantitative skills - knowledge of statistical methods and data analysis software Research skills: It is essential that applicants can undertake in-depth research quantify the information and produce qualitative and quantitative reports. Mathematical Skills to estimate numerical data. Work in a team environment Proactively ask for and offer help Knowledge Examples Knowledge Examples Proficient in mathematics and calculations. Spreadsheet tools such as Microsoft Excel or Google Sheets knowledge of Tableau or PowerBI SQL Python DBMS Operating Systems and software platforms Knowledge about customer domain and also sub domain where problem is solved Code version control e.g. git bitbucket etc. Additional Comments This SO is for replacement of Tarique Nomani Skills Python,Machine Learning,Semantic Search

JOB TITLE: SENIOR ENTERPRISE SERVICE ENGINEER REPORTS TO: Director – Technical Services, India LOCATION: India DATE: July 2025 Since 1979, Meridian has guided customers in transforming the technology tools and resources they already have into undeniable business value. We do more than help our customers simply buy technology; at Meridian, we partner with our customers to adopt technology to enable their business strategy and growth. Meridian helps maximize the value of technology investments with our technology adoption experts and their 3000+ certifications, flexible consumption and deployment models, contract and service management, global service and support, and custom finance options. POSITION SUMMARY The Sr. Enterprise Service Engineer is an experienced technical resource responsible for developing and implementing end-to-end solutions to complex business networking and communications problems for new and existing clients. This individual’s primary responsibility will be to serve our managed service contracts but may occasionally also work with the Project Management Office to staff project-based network implementation work, as well as respond to T&M requests. The Sr. Enterprise Service Engineer is responsible for the entire lifecycle of an engagement (planning to close) to which they have been assigned. Presentations and video conference calls are a critical part of this position. The ability to properly and professionally manage customer expectations and to calmly handle stressful and complex troubleshooting scenarios are requirements of this position. DUTIES AND RESPONSIBILITIES Managed Service Support and Post-Sales (Project) Implementation and Troubleshooting Engage in a timely manner, helping Meridian achieve Service Level Agreements (SLA); Ensure customer documentation is kept up to date; Design and implement, or re-design and troubleshoot complex perimeter and data security solutions including firewalls, intrusion detection / prevention, VPN’s, remote access, and monitoring tools, be well-versed around Cisco and/or Palo Alto’s security portfolio. Expertise around the specific product list is preferred: Palo Alto, Cisco ASA, Cisco FirePower (SourceFire), Cisco ISE. Troubleshoot complex LAN/WAN infrastructure issues under stressful conditions; Design and implement complex, scalable and highly resilient LAN/WAN infrastructure solutions utilizing products from such manufacturers as Cisco, Palo Alto, etc.; Successfully manage the entire lifecycle of an implementation engagement from Plan to Close; Risk Management Escalate issues to the Project Management Office and to Engineer’s Manager before they jeopardize the success or financial viability of an engagement; Participate in quarterly meetings with the Infrastructure team to discuss recent engagements, challenges, and opportunities; incorporate improvements into the pre-sales process. Communications Manage cross-functional interdependencies. Responsible for clear and timely communication to multiple stakeholder groups. Responsible for communicating the details of an opportunity / engagement to both the business and technical teams. Miscellaneous Participate with the Project Management Office in project post-mortems and collaborate on recommendations reports in order to identify successful and unsuccessful project elements; Participate in or lead quarterly business reviews (QBRs) with customers. Perform other duties as assigned. QUALIFICATIONS & REQUIREMENTS 8+ years’ experience as an IT professional, working hands-on designing, configuring, and installing network solutions (wireless, route/switch, and datacenter), with a demonstrated increase in responsibility over time; Bachelor’s degree in a business or IT-related field; CCIE in Security; Palo Alto PCNSE a plus; Proficiency in MS Office (Including Word, Excel, Outlook, Project, PowerPoint, & Visio). Excellent written and verbal communication skills, with the ability to interface at varying and appropriate levels of management; Excellent customer relationship management skills; Ability to break down technical concepts into business term; Strong team player with emphasis on soft skills and relationship building; In-depth knowledge of numerous security technologies including firewalls, intrusion detection, VPN’s, remote access and monitoring tools; Significant, hands-on experience with design principles ensuring high availability, reliability and security and the implementation of solutions relying on those principals; Extensive knowledge of current IEEE networking standards and a fundamental understanding of future technologies; Significant, hands-on experience with core distribution and access layer design and implementation strategies; Experience with infrastructure costing and sizing, security infrastructure design, and DR planning; Significant, hands-on experience with Cisco LAN/WAN networking and Internet hardware and software: Network Security : Palo Alto firewalls, Cisco ISE, Cisco ASA, Cisco FirePower Networking : Cisco routing and switching, Cisco datacenter switches, Cisco wireless controllers and lightweight access points, and Cisco routers (ISR, ASR); In-depth knowledge of numerous networking technologies including wireless (a, b, g, n), spanning-tree, routing protocols (EIGRP, OSPF, BGP), various layer-2 and layer-3 LAN/WAN protocols (Ethernet/GigE/10GigE, PPP, HDLC, Frame-Relay, SONET, ATM, MPLS, etc.), load-balancing, content filtering, and monitoring tools; Proven ability to solve complex technical challenges under stressful conditions; Proven ability to manage multiple projects simultaneously; Well organized, thrive in a sense-of-urgency environment, leverage best practices, and innovate through any problem with a can-do attitude; Ability to handle multiple priorities and interruptions with minimal impact on productivity; Demonstrate a high level of independent judgment and initiative; Ability to maintain a flexible work schedule; Ability to obtain and maintain both pre- and post-sales technical certifications from manufacturers (e.g. Cisco, Palo Alto, Juniper, HP, etc.) Meridian Group International, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

As the Senior DevOps Engineer focused on Observability, you will set observability standards, lead automation efforts and mentor engineers ensuring all monitoring and Datadog configuration changes are implemented Infrastructure-as-Code (IaC). You will lead the design and management of a code-driven Datadog observability platform, providing end-to-end visibility into Java applications, Kubernetes workloads and containerized infrastructure. This role emphasizes cost-effective observability at scale requiring deep expertise in Datadog monitoring, logging, tracing and optimization techniques. You'll collaborate closely with SRE, DevOps and Software Engineering teams to standardize monitoring and logging practices to deliver scalable, reliable and cost-efficient observability solutions. This is a hands-on engineering role focused on observability-as-code. All monitoring, logging, alerting, and Datadog configurations are defined and managed through Terraform, APIs and CI/CD workflows — not manual configuration in the Datadog UI. PRIMARY RESPONSIBILITIES: Own and define observability standards for Java applications, Kubernetes workloads and cloud infrastructure Configure and manage the Datadog platform using Terraform and Infrastructure-as-Code (IaC) best practices Drive adoption of structured JSON logging, distributed tracing and custom metrics across Java and Python services Optimize Datadog usage through cost governance, log filtering, sampling strategies and automated reporting Collaborate closely with Java developers and platform engineers to standardize instrumentation and alerting Troubleshoot and resolve issues with missing or misconfigured logs, metrics and traces, working with developers to ensure proper instrumentation and data flow into Datadog Involve in incident response efforts using Datadog insights for actionable alerting, root cause analysis (RCA) and reliability improvements Serve as the primary point of contact for Datadog-related requests, supporting internal teams with onboarding, integration and usage questions Continuously audit and tune monitors for alert quality, reducing false positives and improving actionable signal detection Maintain clear internal documentation on Datadog usage, standards, integrations and IaC workflows Evaluate and propose improvements to the observability stack, including new Datadog features, OpenTelemetry adoption and future architecture changes Mentor engineers and develop internal training programs on Datadog, observability-as-code and modern log pipeline architecture QUALIFICATIONS: Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics or a related technical field 5+ years of experience in DevOps, Site Reliability Engineering, or related roles with a strong focus on observability and infrastructure as code Hands-on experience managing and scaling Datadog programmatically using code-based workflows (e.g. Terraform, APIs, CI/CD) Deep expertise in Datadog including APM, logs, metrics, tracing, dashboards and audit trails Proven experience integrating Datadog observability into CI/CD pipelines (e.g. GitLab CI, AWS CodePipeline, GitHub Actions) Solid understanding of AWS services and best practices for monitoring services on Kubernetes infrastructure Strong background in Java application development is preferred Job Types: Full-time, Permanent, Contractual / Temporary Contract length: 12 months Pay: ₹1,000,000.00 - ₹2,000,000.00 per year Benefits: Paid sick time Schedule: Monday to Friday Night shift US shift Ability to commute/relocate: Musheerabad, Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: DevOps: 5 years (Required) Language: English (Required) Location: Musheerabad, Hyderabad, Telangana (Preferred) Shift availability: Night Shift (Required) Work Location: In person Expected Start Date: 21/07/2025

Position Title: Data Engineer Location: Hyderabad Grade: L3-1 Hiring Manager: Sabya DG About the Job At Sanofi, we’re committed to providing the next-gen healthcare that patients and customers need. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. Join our R&D Data & AI Products and Platforms Team as a Data Engineer and you can help make it happen. What you will be doing: Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives. The R&D Data & AI Products and Platforms Team is a key team within R&D Digital, focused on developing and delivering Data and AI products for R&D use cases. This team plays a critical role in pursuing broader democratization of data across R&D and providing the foundation to scale AI/ML, advanced analytics, and operational analytics capabilities. As a Data Engineer, you will join this dynamic team committed to driving strategic and operational digital priorities and initiatives in R&D. You will work as a part of a Data & AI Product Delivery Pod, lead by a Product Owner, in an agile environment to deliver Data & AI Products. As a part of this team, you will be responsible for the design and development of data pipelines and workflows to ingest, curate, process, and store large volumes of complex structured and unstructured data. You will have the ability to work on multiple data products serving multiple areas of the business. Our vision for digital, data analytics and AI Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means: AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment. Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack. World Class Mentorship and Training: Working with renown leaders and academics in machine learning to further develop your skillsets. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? Main Responsibilities: Data Product Engineering: Provide input into the engineering feasibility of developing specific R&D Data/AI Products Provide input to Data/AI Product Owner and Scrum Master to support with planning, capacity, and resource estimates Design, build, and maintain scalable and reusable ETL / ELT pipelines to ingest, transform, clean, and load data from sources into central platforms / repositories Structure and provision data to support modeling and data discovery, including filtering, tagging, joining, parsing and normalizing data Collaborate with Data/AI Product Owner and Scrum Master to share Progress on engineering activities and inform of any delays, issues, bugs, or risks with proposed remediation plans Design, develop, and deploy APIs, data feeds, or specific features required by product design and user stories Optimize data workflows to drive high performance and reliability of implemented data products Oversee and support junior engineer with Data/AI Product testing requirements and execution Innovation & Team Collaboration: Stay current on industry trends, emerging technologies, and best practices in data product engineering Contribute to a team culture of innovation, collaboration, and continuous learning within the product team About You: Key Functional Requirements & Qualifications: Bachelor’s degree in software engineering or related field, or equivalent work experience 2-3 years of experience in data engineering, software engineering, or other related fields Experience working in life science/pharmaceutical industry and understanding of R&D business preferred Excellent communication and collaboration skills Working knowledge and comfort working with Agile methodologies Key Technical Requirements & Qualifications: Experience in cloud-based data platforms and analytics engineering stack (AWS, Snowflake and DBT) Experience with job scheduling and orchestration (Airflow is a plus) Working knowledge of scripting languages (Python, Shell scripting) Good knowledge of SQL and relational databases technologies/concepts Understanding of data structures and algorithms Experience working with data models and query tuning Why Choose Us? Bring the miracles of science to life alongside a supportive, future-focused team Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs Applications received after the official close date will be reviewed on an individual basis.

About the Role We are seeking a proactive and enthusiastic Associate Software Engineer to join our Customer Support team. This role involves learning and supporting a Java-based enterprise product by analyzing and resolving real-time client-reported issues. You will work closely with senior engineers and product teams to understand technical challenges and deliver timely solutions while gaining hands-on experience with modern backend technologies. Key Responsibilities Analyze client-reported issues by reproducing the scenario and performing root cause analysis. Debug backend systems written in Java, Groovy, and Spring/Hibernate stack. Query and update relational databases (using SQL) to verify or correct data issues. Assist in writing and delivering patches or configuration fixes for client environments. Understand business rules implemented using Drools and provide support-level changes if needed. Collaborate with senior team members to resolve tickets tracked in JIRA and Salesforce. Follow standard operating procedures, update documentation, and maintain knowledge base articles. Test fixes locally or in lower environments before delivering to clients. Participate in daily stand-ups, retrospectives, and team meetings. Learn and apply version control (Bitbucket), basic branching, and code review practices. Required Skills 2+ Yrs of good understanding of Core Java (OOPs, Collections, Exception Handling, etc.). Working knowledge of SQL: basic queries, joins, filtering, and data manipulation. Exposure to frameworks like Spring and Hibernate through academic or project work. Basic knowledge of version control systems like Git or Bitbucket. Familiarity with IDEs like Eclipse or IntelliJ. Strong analytical, problem-solving, and debugging abilities. Excellent written and verbal communication skills. Willingness to work in a support environment, including rotational shifts if required. Eagerness to learn new tools, technologies, and processes. Familiarity with Groovy or Drools is a bonus. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Minimum 6 years of experience in ETL Pentaho Developers Excellent data analysis skills. Good experience in Pentaho BI Suite(Pentaho Data Integration Designer / Kettle, Pentaho Report Designer, Pentaho Design Studio, Pentaho Enterprise Console, Pentaho BI * * Server, Pentaho Metadata, Pentaho Analysis View, Pentaho Analyser & Mondrian). Experience in performing Data Masking/Protection using Pentaho Data Integration. Experience in creating ETL pipeline including extraction, transformation, merging, filtering, joining, cleansing, scheduling, monitoring, troubleshooting using Pentaho Comfortable in working within RDBMS systems, e.g. PostgreSQL, Oracle. Analytical with good problem- solving skills Excellent Communication Skills About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Sourcing, Screening, Job Posting , Filtering, Screening, Shortlisting and Take the interview or Scheduling the interview with clients walk-in or Virtual meeting Job Description We are seeking an experienced Recruiter to manage our end-to-end recruitment processes. The successful candidate will be responsible for sourcing, screening, and interviewing candidates, as well as collaborating with department heads to understand hiring needs and requirements. Key Responsibilities: 1. Manage Recruitment Processes: End-to-end management of recruitment processes, including sourcing, screening, interviewing, and onboarding candidates. 2. Collaborate with Department Heads: Work closely with department heads to understand hiring needs, requirements, and preferences. 3. Develop Recruitment Strategies: Implement effective recruitment strategies to attract top talent, including job postings, social media advertising, and employee referrals. 4. Conduct Interviews and Assessments: Conduct interviews and assessments to evaluate candidate skills, experience, and fit for the role. 5. Onboarding and Orientation: Conduct onboarding sessions and facilitate new hire orientations to ensure a smooth transition into the organization. Job Type: Full-time Pay: ₹15,000.00 - ₹18,000.00 per month Benefits: Health insurance Application Question(s): This position is for only female candidates so apply accordingly. Education: Bachelor's (Preferred) Experience: Recruiting: 1 year (Preferred) total work: 2 years (Preferred) Work Location: In person

Requirements Description and Requirements Providing 3rd level support to end users for issues on various OS platforms and the creation and communication of Citrix support documentation for 1st and 2nd level support teams Basic networking knowledge, including TCP/IP, firewalls, load balancers and switches Certification in Citrix XenApp and XenDesktop or equivalent work experience relative to supporting XenApp and XenDesktop platforms running version 6.5 and/or 7.x Experienced with deployment of servers utilizing PVS and/or MCS in a virtual environment Working knowledge of Insight and Director monitoring platforms Citrix environment health check monitoring (check all unregistered VDIs and work on them) Monitoring Service-now queue for Incidents, RITMs, & Changes. Monitoring disk space by running Tanium report and taking action to increase drive space with less than 10 GB space Email monitoring & Scheduled Meetings and Sending Escalation report (INCs) Citrix Monitor (Director) monitoring Billing Scripts and Security tools remediation Filtering Stopped VDIs in Azure Portal and changing state to Stop Comparing Azure and Studio VDIs / On Prem and Studio VDIs Own, Support & Administer the Citrix environment having components like XenApp, XenDesktop, PVS, Storefront, Netscaler Resolving normal & critical issues related to Citrix environment on a daily basis Coordinate/Implement Routine & Ad-Hoc Tasks with multiple vendors/customers/stakeholders Execute/document tasks & actions performed whenever necessary Work towards automating tasks wherever possible About MetLife Recognized on Fortune magazine's list of the 2025 "World's Most Admired Companies" and Fortune World’s 25 Best Workplaces™ for 2024, MetLife , through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East. Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by empathy, we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible . Join us!

Role : Network Manager- SD-WAN Versa (Technical and Operation) Experience : 8+ Years Location: Navi Mumbai (Airoli) Shift Timings and Working Days:- General Shifts / 5 Days (Availability 24*7) JD: Operations Team Lead experience Handling L1, L2 – Preparing Report, Client Coordination, First Point of contact for Escalation, well-versed with Advance excel, Preparing roasters for team. Technical- Overall Network: Ability to visualize and guide team to solve complex network issues. Capable of designing network infrastructure. Ability to get network project implementation done. Run 24/7 network support structure across geography. Knowledge on Info security guidelines and drive team to adhere to these guidelines. Close security gaps and audit findings. SDWAN: Deploy and Manage SD-WAN – Versa solutions for branch connectivity and optimized network performance Routing: Working knowledge on Installing and Maintaining Cisco routers and troubleshooting skills required on IP addressing & L3 concepts, MPLS Technology, QOS, BGP and other routing protocols, Access list, route-maps , static & dynamic NATs. Skills required in Analyzing, troubleshooting and correcting network problems remotely and on-site. Security and Switches: Work Exp in Switching Working Knowledge on installing, maintaining and troubleshooting firewalls Implementation and troubleshooting of VPN tunnels Good exposure and experience on Firewalls features like NAT, PAT, UTM, Application filtering, IPS, IDS etc

Overview Europe Sector is the biggest region beyond North-Amercia business with UK and Russia being the biggest countries. Europe sector is composed of 2 key businesses (Beverages and Snacks) from which the business is divided into Clusters (6 for Snacks, 5 for Beverages) - each clusters being a composition of different markets (40+ markets in Europe sector). At Europe Sector Business Intelligence CoE, we enable confident decision making and want to be the Undisputed source for holistic data performance by building cutting edge capabilities embedded into all critical business forums. To achieve this, we’re using and developing contiunuously our BI platform (PPD - PepsiCo Performances Drivers) leading the IT development alongside of managing the reporting for European C-Suite and building stronger capabilities around Shoppers, Connected Stories and Forward activities. PepsiCo business performances are tracked across 30 countries and 4 macro-categories (Snacks, Beverages, Grains & Dairy). The Europe Business Intelligence is structured around 2 teams, working in close collaboration with joint objectives : Making ‘Business Impact’ Providing ‘BI Enablers’ Job Summary The person will be will be playing an active role in the ‘BI Enablers’ Team as part of the Global - Europe Business Intelligence Center of Excellence. The person should have very strong Business Intelligence skills and will play a critical role in executing key transformations of Global PPD. Driving simplification, standardization and self service capabilities agenda along with enhancing the platform by driving key initiatives that will further drive the adoption of the platform. The person should be able to translate the business requirements into accurate IT/platform development plans and will manage platform development accordingly. Provide leadership and review work done by team member/s Responsibilities Own and be accountable for the continuous PPD transformation and development efforts: Design reporting and business intelligence products including visualizations & self-service tools. Manage project delivery, including estimating timelines and identifying risks Collaborate with stakholders to get clarity on development briefs Proceed with the platform development alongside and in collaboration with the Global BI GBS Team Present products to business users and seek feedback for continued improvement Make data meaningful using advanced visualization techniques to provide actionable insights and intuitive dashboards to a broad spectrum of stakeholders to accelerate decision making. Develop quick designs for data visualization and work iteratively to make them deliver the data and insights useful for data driven decisions Expand PPD beyond Nielsen Retail Panel source with more multi-sources reports to drive more holistic and 360° performances reviews and assessments Maintain documentation and user guides for created products Follow the formal processes for Incidents, Change Requests, Deployments and Service Requests Troubleshoot complex issues and provide root cause analysis and recommendations for permanent solutions Identify ways to improve data reliability, efficiency, and quality. Identify bottlenecks and bugs, and devise solutions to these problems. Ensure the processes are documented. Work in an agile environment with the scrum team, participating actively in daily scrum and sprint planning to service the needs of the Business teams by delivering solutions. Maintain strong collaboration & relationship across the board - Global BI Development team, Business teams, IT, Data Modeling and Architecture teams Qualifications Tech/B.E./MCA from reputed institutes 5+ years of experience with Analytics and developing BI solutions - Expertise in Tableau and PowerBI Expert on “Point of Sale” (Nielsen, IRI, SPINs, One Click Retail etc.) databases/metrics a must Experience in performance tuning (pushdown logic, calculated columns and measures, data loading strategies, filtering data, variables) Experience in User-centered design, wireframing, knowledge of the data visualization concepts, Development of visualizations and interactivity depending on the context and overall focus on aesthetics Structured thinker / problem solver who works independently with attention to detail Good knowledge of handling databases and proficiency in SQL and Python Excellent communication & presentation skills (verbal & written) is mandatory. Confident communicator, able to express ideas and convey complicated concepts simply Experience working in an Agile team Must be detail oriented with excellent organizational/time management skills

Overall - At least 8+ years of experience in performing security engineering and assessments of complex systems with AI / ML / Data Science capabilities and services 3+ years of experience auditing existing AI or machine learning systems for security risks and compliance. Industry certifications such as CISSP, SANS and/or other relevant certifications. Knowledge of ethical hacking techniques Development and implementation of AI content filtering mechanisms. Deployment and operation of tools and processes to analyze security threats and vulnerabilities in AI or machine learning systems. Identification and protection of sensitive data within AI solutions. Design and implementation of strategies to protect AI systems from cyber-attacks. Design and implementation of adversarial test plans. Strong analytical and problem-solving skills Excellent communication skills, both written and verbal, with the ability to convey complex information in a clear and concise manner. A commitment to staying current with the latest developments in cybersecurity through ongoing training and professional development. Ability to work both independently and as part of a team in a fast-paced, dynamic environment. Sense of urgency and attention to detail Flexible to provide coverage in US morning hours on a need-basis, and as required.

GE Healthcare Healthcare Information Technology Category Digital Technology / IT Mid-Career Job Id R4026614 Relocation Assistance No Location Bengaluru, Karnataka, India, 560066 Job Description Summary We are seeking a highly skilled and innovative AI Engineer with expertise in both traditional Artificial Intelligence and emerging Generative AI technologies. In this role, you will be responsible for designing, developing, and deploying intelligent systems that leverage machine learning, deep learning, and generative models to solve complex problems. You will work across the AI lifecycle—from data engineering and model development to deployment and monitoring—while also exploring GenAI applications, Agentic AI and developing agentic platforms. The ideal candidate combines strong technical acumen with a passion for experimentation, rapid prototyping, and delivering scalable AI solutions in real-world environments. GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world. Job Description Job Description Roles and Responsibilities In this role, you will: Develop and fine-tune Generative AI models (e.g., LLMs, diffusion models). Design and implement machine learning models for classification, regression, clustering, and recommendation tasks. Build and maintain scalable AI pipelines for data ingestion, training, evaluation, and deployment. Collaborate with cross-functional teams to understand business needs and translate them into AI solutions. Ensure model performance, fairness, and explainability through rigorous testing and validation. Deploy models to production using MLOps tools and monitor their performance over time. Stay current with the latest research and trends in AI/ML and GenAI and evaluate their applicability to business problems. Document models, experiments, and workflows for reproducibility and knowledge sharing. Technical Skill Set Cloud & Infrastructure (AWS) Amazon SageMaker – Model training, tuning, deployment, and MLOps. Amazon Bedrock – Serverless GenAI model access and orchestration. SageMaker JumpStart – pre-trained models and GenAI templates. Prompt engineering and fine-tuning of LLMs using SageMaker or Bedrock. Programming & Scripting Python – Primary language for AI/ML development, data processing, and automation. Education Qualification Bachelor’s degree in engineering with minimum four years of experience in relevant technologies. Desired Characteristics Technical Expertise: GenAI Platforms & Models Familiarity with LLMs: like Claude (Anthropic), LLaMA (Meta), Gemini (Google), Mistral, Falcon Experience with APIs: Amazon Bedrock. Understanding of model types: encoder-decoder, decoder-only, diffusion models Design, develop, and deploy agent-based AI systems that exhibit autonomous decision-making. Integrate Generative AI (LLMs, diffusion models) into real-world applications. Prompt Engineering & Fine-Tuning Prompt design for zero-shot, few-shot, and chain-of-thought reasoning Fine-tuning and parameter-efficient tuning (LoRA, PEFT) Retrieval-Augmented Generation (RAG) design and implementation System Integration & Architecture Event-driven and serverless architectures (e.g., AWS Lambda, EventBridge) Development Frameworks LangChain, LlamaIndex. Vector databases: FAISS, Pinecone, Weaviate, Amazon OpenSearch Langgraph, Langchain Cloud & DevOps AWS (Bedrock, SageMaker, Lambda, S3), Azure (OpenAI, Functions), GCP (Vertex AI) CI/CD pipelines for GenAI workflows Security & Compliance Data privacy and governance (GDPR, HIPAA) Model safety: content filtering, moderation, hallucination control Monitoring & Optimization Model performance tracking (latency, cost, accuracy) Logging and observability (CloudWatch, Prometheus, Grafana) Cost optimization strategies for GenAI inference Collaboration & Business Alignment Working with product, legal, and compliance teams Translating business requirements into GenAI use cases Creating PoCs and scaling to production Business Acumen: Demonstrates the initiative to explore alternate technology and approaches to solving problems Skilled in breaking down problems, documenting problem statements and estimating efforts Has the ability to analyze impact of technology choices Skilled in negotiation to align stakeholders and communicate a single synthesized perspective to the scrum team. Balances value propositions for competing stakeholders. Demonstrates knowledge of the competitive environment Demonstrates knowledge of technologies in the market to help make buy vs build recommendations, scope MVPs, and to drive market timing decisions Leadership: Influences through others; builds direct and "behind the scenes" support for ideas. Pre-emptively sees downstream consequences and effectively tailors influencing strategy to support a positive outcome. Able to verbalize what is behind decisions and downstream implications. Continuously reflecting on success and failures to improve performance and decision-making. Understands when change is needed. Participates in technical strategy planning. Personal Attributes: Able to effectively direct and mentor others in critical thinking skills. Proactively engages with cross-functional teams to resolve issues and design solutions using critical thinking and analysis skills and best practices. Finds important patterns in seemingly unrelated information. Influences and energizes other toward the common vision and goal. Maintains excitement for a process and drives to new directions of meeting the goal even when odds and setbacks render one path impassable. Innovates and integrates new processes and/or technology to significantly add value to GE Healthcare. Identifies how the cost of change weighs against the benefits and advises accordingly. Proactively learns new solutions and processes to address seemingly unanswerable problems. Inclusion and Diversity GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity. Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support. #LI-MA6 Additional Information Relocation Assistance Provided: No

Job Title: Accounts Executive Experience Required: Minimum 1.5 Year Location: Muzaffarpur Department: Finance & Accounts We are seeking a dedicated and detail-oriented Accounts Manager with at least 4 years of professional experience in accounting and financial reporting. The ideal candidate will also have experience in managing sales team data and should be proficient in Tally and Microsoft Excel. Key Responsibilities: Manage day-to-day accounting operations including ledger posting, reconciliation, and bookkeeping. Maintain accurate records of financial transactions in Tally. Prepare and analyze financial statements, reports, and MIS as required. Coordinate with the sales team to manage and monitor sales data, targets, and performance tracking. Ensure timely billing, invoicing, and follow-up on receivables. Assist in monthly and year-end closing procedures. Handle tax compliance, including GST, TDS, and other statutory requirements. Collaborate with auditors during internal and external audits. Maintain data accuracy and ensure proper documentation of all financial activities. Required Skills: Strong knowledge of Tally ERP and MS Excel (VLOOKUP, Pivot Tables, Data Filtering, etc.) Excellent understanding of accounting principles and practices Experience in managing or working alongside sales and marketing data Good communication and coordination skills Ability to work independently and meet deadlines Educational Qualification: B.Com / M.Com

Role : VPN Engineer. Location : Gurgaon. Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a VPN Engineer for our team in Gurugram. Graviton trades across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition to statistical inference analyzing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. As a VPN Engineer, you will be responsible for managing and maintaining the firm's Virtual Private Network (VPN) infrastructure, which is crucial to the success of our high frequency trading operations. You will work closely with other members of the IT team to ensure the security and reliability of our network infrastructure. Responsibilities Design, configure, and implement VPN solutions to support the firm's high frequency trading operations. Manage and maintain the VPN infrastructure, including hardware and software components. Troubleshoot network connectivity and performance issues. Ensure the security and compliance of the VPN infrastructure with industry best practices and regulatory requirements. Collaborate with other members of the IT team to implement network enhancements and new technologies. Participate in the on-call rotation for network support. Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. At least 2-3 years of experience in network engineering, with a focus on VPN Technologies. Experience on site-to-site VPN tunnel, DMVPN, etc. Experience working on ACLs on different networking devices (switches, firewalls and routers) and implementing it without any downtime. Experience with VPN solutions such as Cisco AnyConnect, Juniper Pulse, and OpenVPN. In-depth understanding of network protocols, including TCP/IP, routing, and switching. Knowledge of NAT, PAT and PBR. Knowledge of network security technologies, such as firewalls, intrusion detection/prevention systems, and endpoint security solutions. Knowledge of basic linux and bash scripting. Strong analytical and problem-solving skills. Excellent written and verbal communication skills. Ability to work independently and as part of a team. Preferred Qualifications Industry certifications such as CCNA, CCNP will be an added advantage. Familiarity with high frequency trading operations and requirements. Experience with network automation and scripting languages such as Python or Perl. Benefits Our open and casual work culture gives you the space to innovate and deliver. Our cubicle free offices , disdain for bureaucracy and insistence to hire the very best creates a melting pot for great ideas and technology innovations. Everyone on the team is approachable, there is nothing better than working with friends! Our perks have you covered. Competitive compensation. 6 Weeks of paid vacation. Regular after work parties. Top of the line health insurance for family. (ref:hirist.tech)

Position Title: Data Engineer Location: Hyderabad Grade: L3-1 Hiring Manager: Sabya DG About The Job At Sanofi, we’re committed to providing the next-gen healthcare that patients and customers need. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. Join our R&D Data & AI Products and Platforms Team as a Data Engineer and you can help make it happen. What You Will Be Doing Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives. The R&D Data & AI Products and Platforms Team is a key team within R&D Digital, focused on developing and delivering Data and AI products for R&D use cases. This team plays a critical role in pursuing broader democratization of data across R&D and providing the foundation to scale AI/ML, advanced analytics, and operational analytics capabilities. As a Data Engineer, you will join this dynamic team committed to driving strategic and operational digital priorities and initiatives in R&D. You will work as a part of a Data & AI Product Delivery Pod, lead by a Product Owner, in an agile environment to deliver Data & AI Products. As a part of this team, you will be responsible for the design and development of data pipelines and workflows to ingest, curate, process, and store large volumes of complex structured and unstructured data. You will have the ability to work on multiple data products serving multiple areas of the business. Our vision for digital, data analytics and AI Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means: AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment. Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack. World Class Mentorship and Training: Working with renown leaders and academics in machine learning to further develop your skillsets. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? Main Responsibilities Data Product Engineering: Provide input into the engineering feasibility of developing specific R&D Data/AI Products Provide input to Data/AI Product Owner and Scrum Master to support with planning, capacity, and resource estimates Design, build, and maintain scalable and reusable ETL / ELT pipelines to ingest, transform, clean, and load data from sources into central platforms / repositories Structure and provision data to support modeling and data discovery, including filtering, tagging, joining, parsing and normalizing data Collaborate with Data/AI Product Owner and Scrum Master to share progress on engineering activities and inform of any delays, issues, bugs, or risks with proposed remediation plans Design, develop, and deploy APIs, data feeds, or specific features required by product design and user stories Optimize data workflows to drive high performance and reliability of implemented data products Oversee and support junior engineer with Data/AI Product testing requirements and execution Innovation & Team Collaboration Stay current on industry trends, emerging technologies, and best practices in data product engineering Contribute to a team culture of innovation, collaboration, and continuous learning within the product team About You Key Functional Requirements & Qualifications: Bachelor’s degree in software engineering or related field, or equivalent work experience 2-3 years of experience in data engineering, software engineering, or other related fields Experience working in life science/pharmaceutical industry and understanding of R&D business preferred Excellent communication and collaboration skills Working knowledge and comfort working with Agile methodologies Key Technical Requirements & Qualifications Experience in cloud-based data platforms and analytics engineering stack (AWS, Snowflake and DBT) Experience with job scheduling and orchestration (Airflow is a plus) Working knowledge of scripting languages (Python, Shell scripting) Good knowledge of SQL and relational databases technologies/concepts Understanding of data structures and algorithms Experience working with data models and query tuning Why Choose Us? Bring the miracles of science to life alongside a supportive, future-focused team Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs Applications received after the official close date will be reviewed on an individual basis. null Pursue Progress . Discover Extraordinary . Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

Hello Visionary! We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make a great addition to our vibrant team. Siemens founded the new business unit Siemens Foundational Technologies (formerly known as Siemens IoT Services) on April 1, 2019 with its headquarter in Munich, Germany. It has been crafted to unlock the digital future of its clients by offering end-to-end support on their outstanding digitalization journey. Siemens Foundational Technologies is a strategic advisor and a trusted implementation partner in digital transformation and industrial IoT with a global network of more than 8000 employees in 10 countries and 21 offices. Highly skilled and experienced specialists offer services which range from consulting to craft & prototyping to solution & implementation and operation – everything out of one hand. We are looking for a Software Architect You’ll make a difference by: Drives and guides a software architecture, i.e. a technical realization concept, that allows a cost efficient and timely realization of the software with appropriate quality, even in the face of challenging and changing requirements and realization technologies. Validates system, customer, market or contract requirements, clarifies understanding and feasibility and translates them into software requirements. Drives the elaboration of realization alternatives and the decision process. Coaches and motivates a software development team regarding technical aspects; involves necessary experts from late phases, like operation or service. Leads the technical implementation of the project Mentorship of developers and leads Communication with key internal and stakeholders Hands on with the required skill set Programming languages: One of Java / Python / .NET Smart Pointers Packet Sockets - background knowledge Build - Autotools Memory Alignment - Protocol parser Byte order- Big endian/small endian Rust, Click Operating systems: Linux Familiar with Linux namespaces - testing Virtualization with QEMU (Nicetohave) SystemD services Packet Filtering – Iptables Experience development on linux platform. Building linux kernel from custom packages - Yocto Everyday experience in using linux Scripting languages: Shell script, Python Shell Script - should have security focus. Experience writing secure scripts, especially developers. For test - Python and then shell(important) Networking: IPv4, IPv6, Firewalls, Routing, Linux networking For the CORE : Basic understanding and concepts of packet structure and Layer 2,3,4 protocols.(wikipedia & RFCs) IPV6 IPv4 Ethernet UDP TCP IEEE 802.11 WLAN TLS - MMI services HTTP/S : REST API - Services Bridging switching and routing. Mesh routing OSI layers undestanding, should be able to take a call on the tools." Protocols: SNMP knowhow of application of SNMP protocol. Hands on knowledge of Git Very important as it’s a central piece basic GIT usage (add,commit,clone,fetch,pull,push) basic git background (working tree,sbaging area , object) manual resolution of conflits Ameding commits Rebasing,interactive rebase, squashing commits Desired Skills: 10+years of experience is required. Great Communication skills. Analytical and problem-solving skills Desired Skills: 10+ years of experience is required. Great Communication skills. Analytical and problem-solving skills Join us and be yourself! We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us. Make your mark in our exciting world at Siemens. This role is based in Pune and is an Individual contributor role. You might be required to visit other locations within India and outside. In return, you'll get the chance to work with teams impacting - and the shape of things to come. We're Siemens. A collection of over 379,000 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 imagination and help us shape tomorrow. Find out more about Siemens careers at: www.siemens.com/careers & more about mobility at https://new.siemens.com/global/en/products/mobility.html

As the Senior DevOps Engineer focused on Observability, you will set observability standards, lead automation efforts and mentor engineers ensuring all monitoring and Datadog configuration changes are implemented Infrastructure-as-Code (IaC). You will lead the design and management of a code-driven Datadog observability platform, providing end-to-end visibility into Java applications, Kubernetes workloads and containerized infrastructure. This role emphasizes cost-effective observability at scale requiring deep expertise in Datadog monitoring, logging, tracing and optimization techniques. You'll collaborate closely with SRE, DevOps and Software Engineering teams to standardize monitoring and logging practices to deliver scalable, reliable and cost-efficient observability solutions. This is a hands-on engineering role focused on observability-as-code. All monitoring, logging, alerting, and Datadog configurations are defined and managed through Terraform, APIs and CI/CD workflows — not manual configuration in the Datadog UI. PRIMARY RESPONSIBILITIES: Own and define observability standards for Java applications, Kubernetes workloads and cloud infrastructure Configure and manage the Datadog platform using Terraform and Infrastructure-as-Code (IaC) best practices Drive adoption of structured JSON logging, distributed tracing and custom metrics across Java and Python services Optimize Datadog usage through cost governance, log filtering, sampling strategies and automated reporting Collaborate closely with Java developers and platform engineers to standardize instrumentation and alerting Troubleshoot and resolve issues with missing or misconfigured logs, metrics and traces, working with developers to ensure proper instrumentation and data flow into Datadog Involve in incident response efforts using Datadog insights for actionable alerting, root cause analysis (RCA) and reliability improvements Serve as the primary point of contact for Datadog-related requests, supporting internal teams with onboarding, integration and usage questions Continuously audit and tune monitors for alert quality, reducing false positives and improving actionable signal detection Maintain clear internal documentation on Datadog usage, standards, integrations and IaC workflows Evaluate and propose improvements to the observability stack, including new Datadog features, OpenTelemetry adoption and future architecture changes Mentor engineers and develop internal training programs on Datadog, observability-as-code and modern log pipeline architecture QUALIFICATIONS: Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics or a related technical field 5+ years of experience in DevOps, Site Reliability Engineering, or related roles with a strong focus on observability and infrastructure as code Hands-on experience managing and scaling Datadog programmatically using code-based workflows (e.g. Terraform, APIs, CI/CD) Deep expertise in Datadog including APM, logs, metrics, tracing, dashboards and audit trails Proven experience integrating Datadog observability into CI/CD pipelines (e.g. GitLab CI, AWS CodePipeline, GitHub Actions) Solid understanding of AWS services and best practices for monitoring services on Kubernetes infrastructure Strong background in Java application development is preferred Job Types: Full-time, Permanent, Contractual / Temporary Contract length: 12 months Pay: ₹1,000,000.00 - ₹2,000,000.00 per year Benefits: Paid sick time Schedule: Monday to Friday Night shift US shift Ability to commute/relocate: Musheerabad, Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: DevOps: 5 years (Required) Language: English (Required) Location: Musheerabad, Hyderabad, Telangana (Preferred) Shift availability: Night Shift (Required) Work Location: In person Expected Start Date: 21/07/2025

PS: Please refrain from applying if you have experience solely in a studio environment LEADERSHIP Assist the HOD in leading the Audio team, setting goals, resolving conflicts, and providing feedback. PERFORMANCE EVAULTION & RECOGNITION Assist the HOD in evaluating performance, setting goals, and managing increments and promotions as per the annual plan. PLANNING Attend meetings regularly and assist the HOD in improving processes and identifying new revenue streams. Assist the HOD in planning and executing events, ensuring alignment with client needs, layouts, and deadlines. Assist the HOD in managing inventory, updating registers, verifying items, and overseeing outsourced equipment. Ensure proper equipment preparation, transport, storage, and assist with loading according to management guidelines. Ensure a safe work environment and compliance with all company policies. COMMUNICATIONS Assist the HOD in training the team, sharing innovations, and fostering idea exchange to achieve objectives. Communicate event schedules, HOD instructions, and client requirements to the Audio team for smooth execution and task delegation. Coordinate with internal teams and external engineers to align stakeholders on event planning and execution. Notify the HOD of equipment issues or inventory shortages that may affect event timelines. REVENUE MANAGEMENT Assist the HOD in pursuing event leads and managing events to maximize revenue within budget. Manage event expenses, calculate costs accurately, and follow SOPs for inventory outsourcing to optimize costs and maximize profit. Assist with invoicing, accurately record deliverables, and manage pre & post-event expenses. EXECUTION Ensure timely setups, assist with troubleshooting & system alignment, and perform pre-dry run checks to prevent technical issues. Assess audio quality, adjust levels, play tracks, and monitor equipment for sound issues during events. Be flexible, multitask, and assist other departments as needed. POST EVENT Ensure efficient dismantling, safe transport, and inventory crosscheck with the master list to prevent losses. Assist with loading/unloading and evaluate event performance for improvements. MAINTENANCE & REPAIRS Manage inventory accurately, maintain equipment regularly, and ensure repairs at authorized centers. Follow up on servicing timelines and costs, and report equipment issues or shortages to the HOD. PURCHASES Assist the HOD with sourcing, supplier negotiations, database management, and ensuring timely purchases, deliveries, and invoicing. DRY HIRE Ensure equipment availability for dry hire, track inventory, follow up on client-held items, and verify returns against hire vouchers. Requirements: - Applicants must have live sound experience & expertise in digital mixers from major brands. - Lead the audio team, coordinate with client, producers, artists, technical crew & internal tech teams. - Experience using SMAART for audio measurement & analysis is required. - Design and plan PA systems according to client needs & venue specs. - Simulate system performance with tools like Adamson Blueprint. - Proficient in configuring loudspeaker DSPs for optimal performance, including tuning, filtering, delay, crossover, & system protection, with experience in DSP brands like Lake Controller. - Familiarity with audio networking protocols & must be skilled in band gear & technical rider setups. - Design and plan PA systems according to client needs & venue specs. - Resolve technical issues during setup and events, ensure neat cable management & safe equipment handling. - Manage high-pressure events, quick turnarounds, mentor juniors, & adapt to flexible timings. Job Type: Full-time Benefits: Food provided Health insurance Paid sick time Paid time off Work Location: In person Expected Start Date: 15/07/2025

Hello, Truecaller is calling you from Bangalore, India! Ready to pick up? Our goal is to make communication smarter, safer, and more efficient, all while building trust everywhere. We're all about bringing you smart services with a big social impact, keeping you safe from fraud, harassment, scam calls or messages, so you can focus on the conversations that matter. Top 20 most downloaded apps globally, and world’s #1 caller ID and spam-blocking service for Android and iOS, with extensive AI capabilities, with more than 450 million active users per month. Founded in 2009, listed on Nasdaq OMX Stockholm and is categorized as a Large Cap. Our focus on innovation, operational excellence, sustainable growth, and collaboration has resulted in consistently high profitability and strong EBITDA margins. A team of 400 people from ~35 different nationalities spread across our headquarters in Stockholm and offices in Bangalore, Mumbai, Gurgaon and Tel Aviv with high ambitions. We in the Insights Team are responsible for SMS Categorization, Fraud detection and other Smart SMS features within the Truecaller app. The OTP & bank notifications, bill & travel reminder alerts are some examples of the Smart SMS features. The team has developed a patented offline text parser that powers all these features and the team is also exploring cutting edge technologies like LLM to enhance the Smart SMS features. The team’s mission is to become the World’s most loved and trusted SMS app which is aligned with Truecaller’s vision to make communication safe and efficient. Smart SMS is used by over 90M users every day. As an ML Engineer , you will be responsible for collecting, organizing, analyzing, and interpreting Truecaller data with a focus on NLP. In this role, you will be working hands-on to optimize the training and deployment of ML models to be quick and cost-efficient. Also, you will be pivotal in advancing our work with large language models and in-device models across diverse regions. Your expertise will enhance our natural language processing, machine learning, and predictive analytics capabilities. What You Bring In 3+ years in machine learning engineering, with hands-on involvement in feature engineering, model development, and deployment. Experience in Natural Language Processing (NLP), with a deep understanding of text processing, model development, and deployment challenges in the domain. Proven ability to develop, deploy, and maintain machine learning models in production environments, ensuring scalability, reliability, and performance. Strong familiarity with ML frameworks like TensorFlow, PyTorch, and ONNX, and experience in tech stack such as Kubernetes, Docker, APIs, Vertex AI, GCP. Experience deploying models across backend and mobile platforms. Fine-tune and optimize LLMs prompts for domain-specific applications Ability to optimize feature engineering, model training, and deployment strategies for performance and efficiency. Strong SQL and statistical skills. Programming knowledge in at least one language, such as Python or R. Preferably python. Knowledge of machine learning algorithms. Excellent teamwork and communication skills, with the ability to work cross-functionally with product, engineering, and data science teams. Good to have the knowledge in retrieval-based pipelines to enhance LLM performance The Impact You Will Create Collaborate with Product and Engineering to scope, design, and implement systems that solve complex business problems ensuring they are delivered on time and within scope. Design, develop, and deploy state-of-the-art NLP models, contributing directly to message classification and fraud detection at scale for millions of users. Leverage cutting-edge NLP techniques to enhance message understanding, spam filtering, and fraud detection, ensuring a safer and more efficient messaging experience. Build and optimize ML models that can efficiently handle large-scale data processing while maintaining accuracy and performance. Work closely with data scientists and data engineers to enable rapid experimentation, development, and productionization of models in a cost-effective manner. Streamline the ML lifecycle, from training to deployment, by implementing automated workflows, CI/CD pipelines, and monitoring tools for model health and performance. Stay ahead of advancements in ML and NLP, proactively identifying opportunities to enhance model performance, reduce latency, and improve user experience. Your work will directly impact millions of users, improving message classification, fraud detection, and the overall security of messaging platforms. It Would Be Great If You Also Have Understanding of Conversational AI Deploying NLP models in production Working knowledge of GCP components Cloud-based LLM inference with Ray, Kubernetes, and serverless architectures. Life at Truecaller - Behind the code: https://www.instagram.com/lifeattruecaller/ Sounds like your dream job? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. This position is based in Bangalore , India. We only accept applications in English. What We Offer A smart, talented and agile team: An international team where ~35 nationalities are working together in several locations and time zones with a learning, sharing and fun environment. A great compensation package: Competitive salary, 30 days of paid vacation, flexible working hours, private health insurance, parental leave, telephone bill reimbursement, Udemy membership to keep learning and improving and Wellness allowance. Great tech tools: Pick the computer and phone that you fancy the most within our budget ranges. Office life: We strongly believe in the in-person collaboration and follow an office-first approach while offering some flexibility. Enjoy your days with great colleagues with loads of good stuff to learn from, daily lunch and breakfast and a wide range of healthy snacks and beverages. In addition, every now and then check out the playroom for a fun break or join our exciting parties and or team activities such as Lab days, sports meetups etc. There something for everyone! Come as you are: Truecaller is diverse, equal and inclusive. We need a wide variety of backgrounds, perspectives, beliefs and experiences in order to keep building our great products. No matter where you are based, which language you speak, your accent, race, religion, color, nationality, gender, sexual orientation, age, marital status, etc. All those things make you who you are, and that’s why we would love to meet you. Job info Location Bengaluru, Karnataka, India Category Data Science Team Insights Posted today

Job description Role: Data Management - only female Contact: HR-7708534259 Skill Requirement: Good Excel working knowledge, like data filtering, data validation, Data sourcing, and purification via call and online. Duplicates removal, V and H lookup, formula working knowledge, and Conditional Formatting Good communication in English and Hindi added an advantage : Experience: 1 year & above in operations/data management/MIS field Good typing Speed. Job Types: Full-time, Permanent Pay: ₹10,000.00 - ₹25,000.00 per month Benefits: Provident Fund Schedule: Day shift Work Location: In person Application Deadline: 15/07/2025

We are hiring a detail-oriented MIS Executive to handle and process our company's labor data with precision and accuracy. The ideal candidate must have strong, intermediate-level Excel skills. Key Responsibilities Ensure data quality, accuracy, and integrity. Process raw data into clean, structured, and usable formats. Segregate large datasets using advanced sorting, filtering, and formulas. Handle data collection, entry, and updates. Collaborate with various departments to fulfill their data requirements. Proven experience in a data management or similar role. Must be skilled in PIVOTBY, PIVOT Tables, VSTACK, COL, ROW, VLOOKUP, INDEX-MATCH, SUMIFS, COUNTIFS, and logical functions. Confident using advanced sorting, filtering, and data validation. Familiarity with data cleaning functions like TRIM, CONCATENATE, etc. Exceptional attention to detail and strong organizational skills. Ability to work independently and manage time effectively. What We Offer: Competitive salary and benefits package. A collaborative and supportive work environment. Opportunities for professional growth and development. Job Type: Full-time Pay: ₹120,000.00 - ₹300,000.00 per year Benefits: Health insurance Paid time off Provident Fund Schedule: Day shift Rotational shift Supplemental Pay: Quarterly bonus Application Question(s): How good are you at Microsoft Excel? OK, Good, Better, or Excellent Experience: Advanced Microsoft Excel: 2 years (Required) Work Location: In person

Key Responsibilities:Data Entry & Reporting: Input and update employee benefit enrollment data accurately. Support the creation of spreadsheets and basic reports using Microsoft Excel (sorting, filtering, formulas, charts, Pivot Tables). Maintain data integrity through routine checks, audits, and reconciliations. Enrollment Support: Assist in processing open enrollment and new hire data files. Help track enrollment statuses and timelines. Support benefits file preparation for carriers and payroll teams. Administrative Tasks: Organize and maintain digital records of enrollment, plan summaries, and compliance documents. Follow data handling best practices to ensure privacy and accuracy (HIPAA compliance). Team Collaboration: Work with senior analysts and benefits specialists to understand client needs. Learn to translate data into simple visual summaries or charts for internal use. Participate in training sessions on benefits systems, Excel tools, and compliance processes. Required Skills & Qualifications: Bachelor’s degree in Business, Human Resources, Data Analytics, or a related field (or currently pursuing one). Proficiency in Microsoft Excel (basic formulas, pivot tables, charts, and formatting). Strong attention to detail and comfort working with numbers and data. Good communication and time-management skills. Eagerness to learn and grow within the U.S. employee benefits industry. Job Types: Full-time, Permanent, Fresher Pay: ₹180,000.00 - ₹300,000.00 per year Benefits: Paid sick time Paid time off Schedule: Monday to Friday Night shift US shift Supplemental Pay: Yearly bonus Language: English (Required) Location: Gorakhpur, Uttar Pradesh (Preferred) Shift availability: Night Shift (Required) Work Location: In person Application Deadline: 18/07/2025 Expected Start Date: 25/07/2025

I’ve been running ridiculous experiments over the last 6 months. One of them is setting up a social media farm to post ~70 reels daily across 30+ TikTok & Insta accounts. As I roll out October to more users, I want to scale this to 200+ daily. I need one full-time intern to help me run this. It’s going to be chaotic and fast - and if we pull it off, it could be game-changing. You need to be smart, scrappy, obsessed with meme culture and viral content, good at creating strong hooks in content, familiar with video editing (e.g. DaVinci), and already using ChatGPT or some other LLM/AI tool deeply in your daily workflow. 💰 Stipend: INR 40K/month (📈 can increase based on month 1/2 outcomes) 🧪 First Month: *Paid* probation ⏳ Duration: 3 months full-time I’m filtering hard to save time, so here’s a quick task (compulsory): Make 3 UGC-style or hook + demo-style reels for any of your favorite B2C mobile apps and send them over. (If this task takes you more than 45 minutes, this is probably not for you) Upload the reels to a Drive folder and submit the link here: 🔗 https://tally.so/r/wbM0V6 ⚠️ This is NOT for you if you're looking for work-life balance. This is time-critical.

Position: Tech Lead/ Product Owner/ Product Manager Experience: 10+ years Job: Full Time Location: Visakhapatnam (Andhra Pradesh, India) Required Skills and Qualifications: Education: B. Tech or M. Tech Experience: 10+ years of total experience with at least 4+ years in computer vision and Python programming. Technical Skills: Proficiency in Python and its libraries (e.g., OpenCV, TensorFlow, PyTorch). Strong understanding of computer vision concepts (e.g., object detection, image segmentation, feature extraction). Extensive experience in image processing (e.g., filtering, edge detection, image transformation), using Computer Vision. Significant experience in video processing (e.g., object tracking, motion analysis, video encoding/decoding). Familiarity with machine learning and deep learning frameworks. Experience with software development practices (e.g., version control, unit testing, continuous integration). Leadership Skills: Proven ability to lead and mentor technical teams. Excellent project management and organizational skills. Communication Skills: Strong verbal and written communication skills. Ability to present complex technical information to non-technical stakeholders. If interested please share your CV to praveen.madugula@xinthe.com or feel free to call me at 9963348886. Thanks you. Happy Working !!