Systems Performance Jobs in Bengaluru

Position: Mechatronics & Big Data Scientist Developer Department: Research & Development Reporting To: General Manager Location: Bengaluru Key Responsibilities Machine Learning: Select features, build, and optimize classifiers using advanced machine learning techniques. Data Mining: Perform data mining using state-of-the-art methods to extract valuable insights from large datasets. Data Enhancement: Extend the company s datasets with third-party data sources when necessary to improve model accuracy and relevance. Data Collection & Processing: Improve data collection procedures to include all necessary information for building analytic systems. Data Cleansing & Integrity: Process, cleanse, and verify the integrity of data used for analysis to ensure reliable results. Ad-hoc Analysis: Perform ad-hoc analysis as needed, presenting the results in a clear, actionable manner. Anomaly Detection: Design and implement automated anomaly detection systems, tracking their performance over time to ensure accuracy. Behavioral Competencies Data-Driven: Strong inclination toward working with data and applying analytical thinking to solve complex problems. Detail-Oriented: Meticulous in data analysis and system development to ensure quality and precision in results. Skills and Expertise Machine Learning Algorithms Strong understanding of machine learning techniques and algorithms such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Data Science Tools Experience with common data science toolkits like R, Weka, NumPy, and MatLab. Proficiency in at least one (preferably NumPy or R) is highly desirable. Data Visualization Skilled in data visualization tools such as D3.js, GGplot, or similar. Database Management Experience with query languages such as SQL, Hive, Pig, NiFi, or others depending on the company s stack. Familiarity with NoSQL databases like InfluxDB, MongoDB, Cassandra, HBase. Statistical Analysis Strong applied statistics skills, including distributions, statistical testing, and regression analysis. Programming Skills Good scripting and programming skills in languages like PHP, Slim, SQL, and Laravel. Big Data Technologies Knowledge of Hadoop, HDFS, NiFi, and other big data platforms and technologies. Qualifications Essential: MTech, MS, or equivalent in Mechatronics, Computer Science, or a related field. Experience: Minimum 2 years of hands-on experience in developing SDKs and working with Big Data platforms. Proven track record in machine learning, data mining, and data science projects. Qualification : MTech, MS, or equivalent in Mechatronics, Computer Science, or a related field

Position: Embedded Software Developer Department: Research & Development Reporting To: General Manager Location: Bengaluru Key Responsibilities Embedded System Development Work with a team of developers to design, create, and implement **embedded systems and applications** for R&D projects, which will later be integrated into BFW machines. Develop embedded software from requirements gathering to production and commercial deployment. Assist an in-house team of embedded developers in the creation of **prototype boards, coding, and testing**. Demonstrate previous embedded projects, including examples and supporting audiovisual materials. Software Design & Implementation Design, develop, test, and debug **embedded system software**. Review and optimize code for efficiency, stability, and scalability. Analyze system resources and integrate new product designs into the system. Interface with hardware design and development teams to ensure seamless integration. Testing & Support Provide **post-production support** and assist in the debugging and troubleshooting of embedded systems. Support software **quality assurance (QA)** and optimize I/O performance for embedded systems. Third-Party Software Integration Assess and integrate **third-party and open-source software** solutions as needed for system functionality. Behavioral Competencies Component Selection: Ability to select appropriate components for embedded systems based on requirements. Communication: Strong written and verbal communication skills for documentation, team collaboration, and customer interaction. Problem Solving: Ability to work independently, troubleshoot issues, and optimize system performance. Skills and Expertise Core Programming Skills Proficient in **C, C++, and Python**. (**Must know**) Expertise in **QT and QML**. (**Must know**) Hardware Knowledge Experience with schematic design, PCB component placements, layouts, and artwork. (Good to know) Understanding of **EMC standards** and their application in hardware design. (Good to know) Microcontroller & Processor Expertise Working knowledge of **8, 16, and 32-bit microcontrollers**. (**Must know**) Experience with **32-bit and 64-bit microprocessors**, including ATOM, ARM, PIC, Atmel, etc. (**Must know**) Communication Protocols Proficient with communication protocols such as **RS232C, RS485, USB, TCP/IP, Modbus RTU/TCP, and shared memory (Redis)**. (**Must know**) POC & Testing Setup Proficient in creating **proof-of-concept (POC)** layouts and writing test code for available lab resources to validate designs. Qualifications Essential: Bachelor's degree in Mechanical Engineering, Computer Science, or related field (or equivalent). Experience: Minimum of **2 years of experience** working and developing embedded software for platforms. Proficiency in developing software and working with hardware in an embedded environment. Qualification : Bachelor's degree in Mechanical Engineering, Computer Science, or related field (or equivalent)

Senior QA Engineer - AI-Powered Observability Platform Location: Bengaluru Experience: 6 10 years About VuNet VuNet is at the forefront of Business Journey Observability, revolutionizing the financial services industry with Big Data and Machine Learning. Our deep-tech platform provides comprehensive visibility into customer journeys, enabling proactive issue resolution, operational resilience, and superior user experiences. We monitor over 28 billion digital transactions monthly, serving 300 million users globally, and we re powering some of the largest banks and financial institutions in India and MEA. VuNet is Series B funded, part of NASSCOM s DeepTech Club, and recognized by analysts like Gartner and Omdia. Your Role: Senior QA Engineer - AI-Powered Observability Platform As a Senior QA Engineer at VuNet, you ll play a crucial role in ensuring the quality and reliability of our VuSmartMaps Observability Platform. You ll lead the design and implementation of cutting-edge test automation, performance validation, and reliability frameworks across distributed systems that handle billions of telemetry events. Working closely with development, operations, and QA teams, you will drive quality across the entire platform and play a key role in ensuring that our systems are scalable, resilient, and performant. Roles & Responsibilities Quality Strategy Ownership: Own the end-to-end quality strategy for observability platform components (metrics, logs, tracing, alerting, dashboards, MLOps). Automated Testing: Build and maintain automated test suites for data pipelines, APIs, and integration flows involving tools like Prometheus, Grafana, Loki, Elastic, and OpenTelemetry. Performance Validation: Design and execute tests to validate high-throughput, distributed systems under real-world load conditions, ensuring performance benchmarks are met. Test Frameworks Development: Develop and maintain test frameworks and tools using Python, Go, Bash, pytest, k6, Playwright, and others. System Reliability & Alerting: Define and implement test coverage for system reliability, alerting accuracy, and visualization correctness. Collaboration: Partner with developers, SREs, and DevOps teams to shift quality left in the development lifecycle, contributing to CI/CD pipelines and automation workflows using GitOps tools. Automation Integration: Integrate automated test suites into smoke, functional, and regression pipelines using Jenkins, Spinnaker, and other CI/CD tools. Mentorship: Mentor junior QA engineers, establish best practices, and ensure consistency in the QA discipline across the team. What You Bring Mandatory Skills: Experience: Minimum 6+ years in software quality engineering, with a focus on automated testing, performance, and reliability. Scripting/Programming: Proficiency in at least one scripting or programming language (JavaScript, Python, Go). CI/CD Systems: Experience with CI/CD systems such as GitHub Actions, Jenkins, or ArgoCD. Debugging Skills: Excellent debugging skills and the ability to analyze code quality and system performance. Distributed Systems Knowledge: Familiarity with Kafka, Kafka Streams, ClickHouse DB, and distributed systems. Kubernetes & Microservices: Strong experience testing Kubernetes-native systems, Helm deployments, and microservices. Observability Tools: Knowledge of observability tools like Prometheus, Grafana, Elastic Stack, OpenTelemetry, Loki, or Jaeger. Tooling & Deployment: Proficiency in Jenkins, Spinnaker, GitOps, Kubernetes, and Docker. Testing Experience: Hands-on experience in various types of testing (functional, performance, load, etc.) and knowledge of testing tools. Documentation Skills: Ability to create clear documentation (e.g., release notes, troubleshooting guides, and migration guides). Nice-to-Have Skills: Performance Testing: Experience designing and executing performance and load testing for high-traffic applications. Web Services & Systems Design: Understanding of web services and distributed systems architecture. Cross-Functional Communication: Excellent communication skills with the ability to coordinate across multiple teams. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India and we re just getting started. Join a passionate team of problem-solvers who love tackling complex challenges and stay ahead of the curve with technologies like Gen AI. We offer an environment where collaboration, innovation, and learning are at the core of everything we do. You ll have the opportunity to work on cutting-edge technologies and make a real impact on a product that powers leading banks and financial institutions globally. Benefits: Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness support and 1:1 counseling. A learning culture that promotes growth, innovation, and ownership. Transparent, inclusive, and high-trust workplace culture. Exposure to Gen AI and integrated technology workspaces. Support for career development with various training programs to enhance your skills and expertise.

Job Title: Senior Engineering Manager / Engineering Manager Location: Bengaluru Department: Information Technology Category: Others Job Purpose We are seeking an experienced and hands-on Engineering Manager with a solid technical background in Node.js, Golang, or Java. The ideal candidate is a skilled coder, capable of leading engineering teams to deliver scalable, high-quality software. You ll manage squads independently, drive cloud-native and microservices-based development, and collaborate cross-functionally to meet business goals. Experience with AWS is a strong advantage. Key Responsibilities 1. Technical Leadership Lead, mentor, and inspire engineering teams to deliver robust and efficient solutions. Provide technical guidance, enforce coding standards, and encourage best practices. 2. Full Stack Development Actively contribute to development using ReactJS, Golang, or Java. Demonstrate hands-on technical leadership through coding, design, and code reviews. 3. Architecture & Design Design and implement scalable microservices and cloud-native architectures. Ensure system reliability, security, and performance across distributed systems. 4. Squad Management Independently lead squads, ensuring timely and high-quality delivery of projects. Foster a collaborative, inclusive, and high-performance team culture. 5. Cross-Functional Collaboration Work closely with Product Managers, Designers, and other stakeholders to align tech execution with business priorities. Translate requirements into effective engineering solutions. 6. Innovation & Continuous Improvement Stay ahead of technology trends and continuously improve engineering practices. Evaluate and implement new tools, frameworks, and methodologies as needed. Required Skills & Experience Strong engineering background with proven leadership in software development roles. Expertise in Node.js, Golang, or Java with hands-on coding experience. Deep understanding of microservices and cloud-native architecture. Experience with AWS or similar cloud platforms. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Experience with Agile methodologies and DevOps practices. Familiarity with Docker, Kubernetes, and other containerization tools. Prior experience managing engineering teams in a fast-paced environment. AWS certifications are a strong plus. Proven ability to deliver complex and scalable software products. Educational Qualifications Undergraduate: B.Sc / B.Tech / BCA Postgraduate: M.Sc / M.Tech / MCA Qualification : M.Sc / M.Tech / MCA

Job Title: Associate ML Ops Location: Bangalore Department: Data Science Employment Type: Full-time Experience: 1 2 years Job Overview We are seeking a motivated and detail-oriented Associate ML Ops to join our Data Science team. In this role, you will be responsible for supporting the deployment, monitoring, and scaling of machine learning models in production environments. You ll collaborate closely with data scientists and engineers to build robust MLOps pipelines and ensure model reliability, scalability, and performance. If you are passionate about bringing machine learning models to life and have hands-on experience in productionizing ML systems, we d love to hear from you. Key Responsibilities Deploy and maintain machine learning models in production environments using best-in-class tools like Databricks and MLflow. Collaborate with data scientists to translate experimental models into scalable, production-ready systems. Monitor model performance, accuracy, and overall health through automated tools and custom strategies. Build and maintain RESTful APIs using Python frameworks such as Flask or Django to serve ML models. Write efficient and optimized SQL and NoSQL queries for data extraction and transformation. Apply software engineering best practices, including version control, testing, and documentation, to MLOps workflows. Work with Python libraries like Pandas, PySpark, scikit-learn, SQLAlchemy, and Requests. Troubleshoot issues related to model deployment, API performance, or data integration pipelines. Minimum Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field. 1 2 years of hands-on experience in solving analytical or machine learning problems in production settings. Must-Have Technical Skills Hands-on experience with Databricks and MLflow Proven expertise in deploying ML models in real-world applications Strong understanding of data structures, algorithms, OOP, and software engineering principles Experience building and maintaining REST APIs using Python Proficiency in SQL and NoSQL Excellent Python programming and debugging skills Familiarity with core Python libraries used in ML and data processing: Pandas, scikit-learn, PySpark, SQLAlchemy, etc. Nice-to-Have Skills Exposure to Kafka for streaming and batch data processing Familiarity with Git and CI/CD pipelines Experience with Python multiprocessing or worker/queue systems Understanding of event-driven or asynchronous programming models This is an exciting opportunity to work at the intersection of data science and engineering. You ll play a key role in productionizing cutting-edge models and ensuring they deliver real business impact. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field

Position: Senior Backend Engineer (Java/Node.js) Location: Remote/Hybrid | Bengaluru, IND We're searching for a Senior Backend Engineer to join our team. If you have 4+ years of experience building scalable microservices with Java (Spring Boot) and Node.js, we want to talk to you! You'll be instrumental in designing, developing, and maintaining robust backend systems, ensuring high performance and reliability for our applications. What You'll Do: Design and build scalable microservices using Java/Spring Boot and Node.js. Develop and implement RESTful APIs for seamless system communication. Contribute to our microservices architecture, focusing on best practices. Collaborate with front-end teams to integrate backend services. Manage and optimize database schemas (SQL/NoSQL). Ensure code quality through testing, code reviews, and CI/CD. Troubleshoot and resolve performance issues and bugs. Maintain clear technical documentation. What You'll Bring: 4+ years of backend engineering experience with Java, Spring Boot, and Node.js. Strong understanding of RESTful API design and microservices patterns. Proficiency with relational and NoSQL databases. Experience with CI/CD, Docker, and Kubernetes. Excellent problem-solving and communication skills. A collaborative mindset and a passion for building high-quality software. Bonus Points: Experience with cloud platforms (AWS, Azure, GCP). Familiarity with message brokers (Kafka, RabbitMQ).

Position: Assistant General Manager (AGM) Human Resources Department: Human Resource Location: Bengaluru Role Overview: We are seeking a strategic and experienced AGM Human Resources to lead and support the development and execution of HR strategies that align with the company s overall business objectives. This role encompasses talent acquisition, performance management, employee engagement, compliance, and HR operations to drive organizational effectiveness. Key Responsibilities: Strategic HR Management: Support the design and implementation of HR strategies that align with business goals and promote organizational growth. Talent Acquisition & Onboarding: Oversee end-to-end recruitment processes for critical roles across various departments ensuring the attraction and retention of top talent. Performance Management: Implement and maintain performance management systems, ensuring timely goal setting, regular reviews, and constructive feedback. Employee Engagement & Relations: Foster a positive workplace culture encouraging openness, collaboration, and continuous improvement. Learning & Development: Identify training needs and coordinate learning initiatives to enhance employee skills and career growth. Compliance & Policy Implementation: Ensure HR policies and practices comply with labor laws and internal standards, minimizing legal risks. HR Analytics & Reporting: Analyze HR data and metrics to provide actionable insights supporting informed decision-making. HR Operations: Oversee payroll processes, benefits administration, and management of HRMS/HRIS systems for efficient HR service delivery. Qualifications & Skills: MBA/PGDM in Human Resources or equivalent qualification. Proven experience in strategic HR management and operations. Strong understanding of labor laws and compliance requirements. Excellent interpersonal, communication, and leadership skills. Ability to analyze data and drive insights for organizational improvements. Qualification : MBA/PGDM in Human Resources or equivalent qualification.

Job Title: Lead Product Engineer Location: Bengaluru, Karnataka, India Department: Product Engineering Experience: 6 10 years About TheMathCompany TheMathCompany (MathCo ) is a global Enterprise AI and analytics firm helping Fortune 500 and Global 2000 organizations drive better decision-making through custom-built AI solutions. With our proprietary platform NucliOS, we power scalable, reusable, and intelligent products that accelerate digital transformation across industries. At MathCo, we empower our engineers to innovate, take ownership, and work on cutting-edge enterprise-grade products from scratch. If you re passionate about full-stack product development and thrive in a dynamic, high-impact environment, we d love to talk to you. About the Role As a Lead Product Engineer, you will be responsible for the architecture, development, and deployment of full-stack applications that are critical to our enterprise clients success. You ll lead a cross-functional team and work closely with product managers, designers, and data scientists to deliver high-performance solutions that scale and transform. This role combines hands-on coding, system architecture, and team leadership, and is ideal for engineers looking to make a direct impact on product direction and execution. Key Responsibilities 1. Full Stack Development Build and maintain RESTful APIs and microservices using languages like Python or Node.js. Design and develop scalable and maintainable UI components using modern front-end frameworks (e.g., React, Vue, Angular). Architect and manage application databases (SQL & NoSQL). Integrate with authentication/authorization protocols (e.g., OAuth2, OIDC, SAML). Participate in the full product lifecycle from ideation and development to deployment and support. 2. Product Development & Collaboration Translate business requirements into technical solutions in collaboration with product managers and designers. Provide technical leadership and guidance to the development team. Optimize systems for performance, scalability, and reliability. 3. Code Quality & Testing Write clean, efficient, well-documented code following best practices and industry standards. Conduct and participate in code reviews. Develop and maintain automated test frameworks; ensure unit, integration, and end-to-end testing coverage. Oversee CI/CD pipelines and manage cloud-based deployments. Must-Have Technical Skills 6 10 years of experience in full-stack development and system design. Proficiency in backend languages like Python, Node.js (bonus: Rust, Go). Strong front-end experience with HTML, CSS, JavaScript, and frameworks like React, Angular, or Vue.js. Expertise in REST APIs, microservices, and database design (ER modeling, data flow, API integration). Hands-on with PostgreSQL, MySQL, MongoDB, or similar. Experience deploying applications on cloud platforms (AWS, Azure, GCP). Familiarity with Docker, Kubernetes, and infrastructure tools like Terraform, CloudWatch. Version control and DevOps experience with GitHub, Azure DevOps, and CI/CD pipelines. Non-Technical & Soft Skills Strong knowledge of Agile methodologies (SCRUM). Excellent problem-solving and debugging capabilities. Strong communication and collaboration skills across teams. Ability to manage multiple projects in a fast-paced environment. Work with some of the best minds in data science, engineering, and AI. Drive high-impact product development used by Fortune 500 companies. Be part of a flat, inclusive, and innovation-driven workplace culture. Access to cutting-edge tools, custom-built platforms, and rapid experimentation. Apply now and help build world-class AI-driven solutions with MathCo.

Senior Engineering Manager Bengaluru, India Location: Bengaluru, Karnataka, India Employment Type: Full-time About Serko Serko is a cutting-edge global technology platform transforming business travel and expense management. We unite passionate travelers and technologists through the world s leading business travel marketplace. Proudly an equal opportunity employer, Serko values diversity and inclusion to create an authentic workplace that drives positive change in the travel industry. With offices spanning New Zealand, Australia, North America, China, and now expanding in Bengaluru, India, we re building a world-class team to revolutionize corporate travel. Role Overview: Senior Engineering Manager Technology Leadership Serko is seeking a dynamic Senior Engineering Manager to join our Bengaluru hub. Reporting to the Head of Engineering, you will lead, mentor, and grow high-performing engineering teams of 35-50 members, ensuring optimal resourcing, delivery excellence, and alignment with company objectives. Your leadership will foster continuous learning, employee engagement, and innovation, playing a critical role in scaling Serko s global travel technology platform. Key Responsibilities Team Leadership & Development: Manage engineering teams focusing on recruitment, skill development, and performance management to meet company goals. Project Delivery: Support and guide delivery leads ensuring timely, high-quality project execution aligned with Serko s operating principles. Technical Strategy: Define and drive the technical vision and strategy for your teams, ensuring scalable, reliable, and secure platform architecture. Culture & Engagement: Cultivate a learning-focused environment that enhances employee retention and fosters professional growth. AI/ML Integration: Lead AI/ML initiatives for demand forecasting, recommendation engines, and real-time decision-making tools. Platform Scalability: Oversee cloud-native, microservices-based systems ensuring performance at high request rates (RPS). Community of Practice: Lead or contribute to technical standards and best practices across engineering teams. Qualifications & Skills 12+ years in software engineering with 8+ years managing large teams (20+) in distributed cloud environments. Proven leadership experience in scaling complex projects and managing high-performing engineering teams. Expertise in microservices, event-driven architectures (Kafka, RabbitMQ), and proficiency in Java, Python, Go, or .Net. Deep knowledge of cloud-native technologies including Kubernetes, Istio, and Terraform. Strong communication and interpersonal skills for cross-functional collaboration. Experience with learning frameworks and fostering continuous team development. Track record of driving platform scalability, reliability, and security at scale. Competitive Compensation: Attractive base salary with medical benefits and performance-based incentives. Career Growth: Access to continuous learning platforms and opportunities to shape your career trajectory. Flexible Work Environment: Encouraging work-life balance with flexible policies. Innovative Culture: Work alongside passionate teams dedicated to transforming global business travel technology.

Backend Engineer Location: Bengaluru (Hoodi, Rathi Legacy, Rohan Tech Park) Team: Product Engineering Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader leveraging AI and data to solve complex industrial challenges in Oil & Gas, Chemicals, Pharma, Manufacturing, and Energy. Our flagship products include Cognite Atlas AI and Cognite Data Fusion (CDF). We have been recognized as a 2022 Technology Innovation Leader and 2024 Microsoft Energy & Resources Partner of the Year, driving the future of industrial digital transformation. Our Values Impact: Deliver meaningful, measurable results. Ownership: Take responsibility beyond your comfort zone and foster inclusivity. Relentless: Innovate with determination and resilience. Role & Responsibilities Design and develop scalable, high-performance backend services and APIs using Java, Kotlin, or Python for Cognite Data Fusion. Work with advanced database technologies like PostgreSQL and Elasticsearch to enhance our industrial knowledge graph. Collaborate with application teams to create user-centric solutions addressing complex industrial problems. Build resilient, scalable infrastructure using modern open-source tools and Cognite s data platform. Influence critical product and technical decisions by partnering closely with stakeholders and domain experts. 5+ years of backend engineering experience, primarily using Java, Kotlin, or Python in SaaS/product companies at scale. Flexibility with tech stacks: Java/Kotlin experience is a plus for Python developers and vice versa. Experience with Spark is highly valued. Strong background in modern databases (PostgreSQL, Elasticsearch), graph processing, distributed systems, and performance tuning. Commitment to clean, maintainable code and best practices through continuous code review and improvement. DevOps experience: CI/CD, Infrastructure as Code, Kubernetes multi-cloud deployments (AWS, GCP, Azure). Skilled in observability and diagnostics with tools like Prometheus, Grafana, and expertise in troubleshooting complex system issues. Comfortable contributing to and learning from the open-source community. Excellent communication skills to collaborate effectively across diverse, global teams. Be part of a diverse global team representing 70+ nationalities, committed to DEI. Work in a modern, vibrant office environment at Rathi Legacy, Hoodi, Bengaluru with hybrid flexibility. Flat hierarchy with direct access to leadership and minimal bureaucracy. Collaborate with world-class talent on ambitious, high-impact projects across multiple industries. Engage in Cognite s HUB community for direct interaction with colleagues and partners. Make Your Impact Join Cognite and help revolutionize industrial digital transformation with strong DataOps, enabling better decisions and sustainability for global clients. We encourage applications from all backgrounds and identities. If you re passionate about shaping the future of industrial SaaS, apply today!

Staff Engineer - Core Infrastructure Location: Bangalore, Karnataka, India Employment Type: Full-Time | Hybrid Work Model About Eightfold.ai At Eightfold.ai, we re transforming the future of work by leveraging artificial intelligence to connect individuals with career opportunities based on their skills and potential, not just their network. Our Talent Intelligence Platform powers a more diverse, inclusive workforce by helping organizations plan, hire, develop, and retain top talent. With $410M+ in funding and a $2B+ valuation, we are revolutionizing how the world thinks about skills, potential, and careers. If you re passionate about cutting-edge technology, infrastructure, and creating scalable solutions that impact the world, we want you to join us. The Opportunity We re looking for a Staff Engineer to join our Core Infrastructure Team and help scale the backbone of Eightfold s platform. This high-impact role will involve designing, building, and optimizing foundational systems that power everything from search and machine learning infrastructure to developer platforms and observability tools. You will drive system design across our stack and mentor engineering teams to build scalable, resilient systems that enable Eightfold to grow and deliver AI-powered solutions for our customers. What You ll Own & Drive Architect & Scale Core Systems: Design and build scalable infrastructure systems that support Eightfold s AI-driven products, including search, compute, storage, and machine learning infrastructure. Cross-Functional Leadership: Lead cross-team technical initiatives, collaborating with Product, Security, Data, and Platform teams to align with company-wide goals. Hands-On Development: Contribute directly to system design, code reviews, and incident response, ensuring best practices are followed. Mentorship & Leadership: Guide and mentor engineers to help them grow into future leaders, fostering a culture of technical excellence across teams. Advocate for Engineering Excellence: Champion best practices across areas such as cloud architecture, CI/CD, security, and observability. Solve Complex Infrastructure Challenges: Tackle problems around reliability, scalability, and infrastructure performance, ensuring the systems are robust and perform well at scale. Bring Emerging Tech to Life: Stay on top of the latest trends and technologies, incorporating new scalable design patterns into our architecture. What You Bring 10+ years of experience in backend or infrastructure engineering, with a strong background in building distributed, cloud-native systems. Proven track record in designing and delivering reliable, high-scale services (ideally in AWS, GCP, or Azure environments). Expertise in Infrastructure Technologies: Deep knowledge of containerization, orchestration (Kubernetes), and infrastructure-as-code. Experience with one or more of the following: search infrastructure, ML/AI infrastructure, databases/data warehouses, developer tooling, or platform security. Leadership Experience: A passion for mentoring and guiding engineers, influencing teams and peers, and driving excellence across projects. Strong communication skills, able to translate complex technical challenges into strategic business impact. (Bonus) Experience with SRE principles, cloud security, and compliance for enterprise/government environments. Our Engineering Culture At Eightfold, we believe in ownership over tasks. You won t just be given directions; you ll be trusted to take responsibility and make a measurable impact. We have a growth mindset and continuously improve in all aspects of our work. Collaboration, transparency, and speed are core to everything we do. You ll work in a dynamic, supportive environment where your work directly influences the success of the company and its mission. Meaningful Work: Help shape the future of work by building products that impact careers and businesses globally. Growth Opportunities: Be part of a rapidly scaling company where your contributions are highly valued. Competitive Compensation: Attractive salary, equity, and comprehensive benefits package (including medical, vision, and dental coverage). Hybrid Work Model: Work from our Bangalore office twice a week, with flexibility for remote work. Inclusive Culture: We are committed to fostering a diverse and inclusive work environment where everyone feels valued. Equal Opportunity Employer Eightfold.ai is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability. If you re a hands-on, innovative engineer with a passion for building scalable systems and tackling infrastructure challenges, we want to hear from you.

Job Title: HR Operations Specialist Location: Bengaluru, Karnataka, India About CloudSEK CloudSEK is a leading cybersecurity product company that combines cutting-edge Artificial Intelligence and Machine Learning to offer the world s fastest and most reliable solutions for detecting and resolving digital threats in real-time. Since our inception in 2015, CloudSEK has grown rapidly, expanding across India, Southeast Asia, and the Americas, while consistently driving innovation in the cybersecurity industry. Our product suite includes CloudSEK XVigil, BeVigil, and SVigil, providing real-time threat analysis, attack surface monitoring, and software supply chain risk management. We re proud to be recognized with multiple industry awards and accolades, including the NASSCOM-DSCI Excellence Award and NetApp Excellerator's Best Growth Strategy Award. About the Role: HR Operations Specialist We are seeking a dynamic and experienced HR Operations Specialist to join CloudSEK s fast-paced and rapidly growing startup environment. As an integral member of our HR team, you will manage and enhance HR processes, ensuring that all HR initiatives align with the company s goals and contribute to a positive, productive work culture. This is a unique opportunity to make a significant impact on the growth and success of CloudSEK through strategic HR management. Key Responsibilities Performance Management & Employee Engagement: Lead and manage the Performance Management process, driving performance effectiveness across teams. Champion various HR initiatives related to Rewards and Recognition, Employee Development, and Engagement programs. Design and implement policies and programs to enhance employee engagement and productivity. HR Policy & Compliance: Formulate and implement HR policies and procedures in collaboration with HR leadership, ensuring compliance with labor laws and company objectives. Regularly evaluate and update policies to ensure they meet the evolving needs of the organization. Payroll, Audits & Compliance: Support payroll processing, audit procedures, and ensure compliance with all relevant HR-related laws and regulations. Bridge management-employee relations by addressing grievances, concerns, and demands from both sides, ensuring transparency and trust. End-to-End Employee Lifecycle Management: Manage the entire employee lifecycle, including HRMS management, exit processes, and ENPS (Employee Net Promoter Score) surveys. Maintain pay plans and benefits programs, ensuring they align with industry standards and employee satisfaction. Strategic HR Support: Support business needs by driving HR strategies that develop, engage, and retain top talent. Partner with leadership to design and implement HR programs that align with CloudSEK s mission and values. Requirements 3+ years of experience in HR operations, ideally in a fast-paced startup or growth environment. People-oriented and results-driven with the ability to foster relationships at all levels of the company. Demonstrable experience using HR tools like HRMS and Performance Management systems. In-depth knowledge of HR metrics, labor laws, and HR best practices. Strong ability to architect HR strategies, coupled with leadership skills to drive execution. Excellent skills in active listening, negotiation, presentation, and interpersonal communication. A degree in Human Resources or a related field. A self-driven, detail-oriented individual who thrives in a fast-paced environment and enjoys building systems that support growth and engagement. Ability to handle sensitive information with discretion and professionalism. A passion for employee well-being and driving a positive company culture through strategic HR practices. Benefits of Joining CloudSEK Flexible working hours to support work-life balance. Unlimited snacks, food, and beverages in the office to keep you energized throughout the day. A vibrant, collaborative office environment with games, music, and creative activities to unwind. A competitive salary and a comprehensive benefits package, including opportunities for personal and professional growth.

Lead Cloud Engineer HPC (High Performance Computing) Location: Bengaluru, India Company: Chevron Experience Level: 5 10 Years Department: IT Cloud Engineering Work Mode: Hybrid (Global Operations Support) About the Role Chevron is seeking a Lead Cloud Engineer HPC to deliver next-generation High Performance Computing (HPC) infrastructure and application solutions. This position plays a key role in supporting compute-intensive workloads such as geophysics, reservoir simulations, AI/ML models, and parallel file systems, with a focus on cloud-native solutions and low-latency architectures. This role is ideal for someone experienced in cloud engineering, Linux system administration, and HPC architecture. Key Responsibilities Design, deploy, and support HPC environments for compute-intensive workloads. Configure and manage HPC job scheduling systems (e.g., Slurm, PBS). Implement and maintain parallel file systems such as Lustre. Manage Azure-based cloud infrastructure using VM Scale Sets. Collaborate with data scientists and developers to optimize infrastructure. Leverage Ansible, Satellite, and Python for automation. Optimize low-latency networks for distributed computing. Modernize HPC architecture with an eye on cost control and performance. Required Qualifications Bachelor s degree in Computer Science, Information Systems, or related field. 5 10 years of experience in: Linux system administration in a large-scale environment Microsoft Azure, including VM Scale Sets HPC job schedulers Slurm, PBS Parallel file systems Lustre Automation tools Ansible, Satellite, Python Supporting compute-heavy scientific/engineering applications Understanding of storage systems, networking, and performance tuning in HPC. Willingness to support global operations and participate in after-hours support. Preferred Skills Experience deploying HPC workloads in hybrid cloud environments. Familiarity with reservoir simulation or geophysical applications. Knowledge of security compliance and cost optimization in HPC/cloud. Working Hours Chevron supports global operations. Work hours may be aligned across international teams: Standard Work Days: Monday to Friday Shift Options: 8:00 AM 5:00 PM or 1:30 PM 10:30 PM IST Benefits & Perks Competitive compensation package Health, life, and accident insurance Flexible work schedule and hybrid options Professional development and certification support Work on cutting-edge HPC and AI infrastructure Equal Opportunity Employer Chevron is committed to a diverse and inclusive workforce. All qualified applicants will receive consideration without regard to race, gender, religion, sexual orientation, nationality, age, or disability. Chevron participates in E-Verify in applicable regions. Apply Now If you re passionate about building scalable HPC infrastructure in the cloud, apply now to join Chevron s Cloud Engineering team in Bengaluru. Qualification : Bachelors degree in Computer Science, Information Systems, or related field.

Job Title: SVP Engineering Location: Bangalore (On-site; full-time) About Locus: At Locus, we are redefining logistics decision-making with deep-tech solutions that drive efficiency, consistency, and transparency across industries like retail and FMCG/CPG. Founded in 2015 by Nishith Rastogi and Geet Garg, Locus has evolved from a women s safety geo-tracking app into a globally recognized logistics optimization platform. Our technology has empowered enterprises such as Unilever and Nestl to execute over a billion deliveries across 30+ countries. Guided by our commitment to innovation and sustainable growth, we transform complex supply chains into strategic growth enablers. Join us at Locus and be part of a team shaping the future of global logistics. Job Overview: About the Role: As a SVP Engineering, You be responsible for setting the technology vision, architect scalable solutions, and ensure our platforms are built for performance, reliability, and growth. This role is perfect for someone who thrives on solving complex engineering challenges, optimizing system performance, and fostering a culture of technical excellence. If you have a track record of building and leading large-scale, high-availability systems, we d love to connect with you. Key Responsibilities: Enable the team to create systems that are architecturally built to handle the large scale that our high user concurrency demands, handling high availability/resiliency. Ability to create a best in a class technology environment, with a focus on learning and mentoring, and growing the team by identifying and hiring top-notch talent. Define the vision and roadmap for the entire engineering team. Build systems under the Platform engineering umbrella that are capable of powering multiple businesses under the DreamSports ecosystem, Like DRS (AB Testing), CDP (Customer Data Platform), Microservice Frameworks etc. Engage deeply with Product/Design/Data stakeholders to make sure the Backend strategy and roadmap is in complete sync with Business goals and priorities. Streamline development and operational processes to be more tooling oriented to avoid manual interventions and make dev-experience frictionless. Qualifications: Experience in building from scratch and leading engineering teams of around 70+ members. 15+ years of experience in Technology with at least 8+ years of experience in leadership positions. Expert in Distributed Systems design, Application performance and Cloud computing. Must have built systems that serve millions of rpm at single-digit millisecond latency, using No SQL Databases of the likes of Aerospike, Cassandra, Ignite, Hbase etc. as well as relational databases like MySQL/Postgra. Experience in setting up processes within his teams / cross-functional teams, to get the best out of the talent in the teams and maximise productivity. Experience in building Reactive Systems. Worked with JavaScript frontend framework/libraries like Backbone, Angular JS, Ember JS, Knockout, React or similar stack. Ability to create cost-efficient architectures and design decisions. Any experience in leading functions like Devops and SDET/QA. Join Locus and become part of a visionary team that is redefining logistics through innovation and smart distribution. We provide competitive compensation, comprehensive benefits, and a collaborative environment where your expertise will drive both your growth and that of the organization. Locus is an equal opportunity employer dedicated to creating a diverse and inclusive workplace.

Job Title: Associate Architect Group: ADAS/AD Business Unit: CARIAD Business Unit India Location: Whitefield, Bangalore Experience: 7 to 12 years About CARIAD (Car, I Am Digital) CARIAD is a forward-thinking automotive software company within the Volkswagen Group, focused on expanding software competencies and innovating within the automotive industry. We are developing a unified technology platform, including a vehicle operating system, cloud platform, and new architecture across all Volkswagen Group brands. CARIAD s goal is to drive the digital transformation of mobility. CARIAD India operates under a brand licensing agreement with Germany-based CARIAD SE. Join a team of 360 talented engineers and developers at CARIAD India, collaborating with over 6,000 CARIDIANs globally, all passionate about automotive innovation. Job Description We are looking for an Associate Architect to join our team and play a crucial role in expanding our ADAS practice. This role involves designing and leading the development of ADAS software integration, testing, and system architecture. You will also be responsible for guiding the technical aspects of the ADAS software development life cycle, ensuring quality, efficiency, and customer satisfaction. Key Responsibilities: ADAS Software Integration & Testing: Own the ADAS software integration, software testing, system integration testing (SIT), and system testing (ST). System & Software Architecture: Design and manage the system and software architecture for integration and testing, ensuring all technical aspects align with project goals. Technical Reviews: Lead technical reviews of work products during the software testing phase to ensure high-quality deliverables. Project Ownership: Take full responsibility for project deliverables, including test schedules, risk management, quality control, and meeting customer commitments. Leadership: Lead or co-lead the ADAS practice within the Automotive Engineering Services BU. Mentor and guide teams to ensure successful project outcomes. Test Ecosystem Development: Build and enhance the test ecosystem by integrating different platforms for fully automated end-to-end testing. Test & Automation Strategy: Define test strategies, automation approaches, and methodologies to solve complex technical problems in ADAS software development. Best Practices & Process Improvement: Refine and define best practices, processes, and workflows to improve efficiency and quality. Test Solutions: Select hardware, controllers, and methodologies to develop robust test solutions. Technical Consultation: Provide technical consultation to engineering teams on implementation and realization of test solutions. Performance & Optimization: Define performance metrics/KPIs, benchmark systems, and drive performance optimization efforts. Customer Solutions: Understand customer requirements and deliver solutions through process changes, tool upgrades, or architecture design. System Reusability: Study existing systems and infrastructure to enable reusability of components. Team Management & Coaching: Manage and coach teams in developing automation frameworks, tools, plant models, simulations, and automated test equipment (ATE). Oversee setting up test racks and interconnections. Business Development Support: Assist business development teams by delivering technical presentations and contributing to business growth. Required Skills and Experience: Experience: 7 to 12 years in software development, system architecture, and ADAS integration, with strong experience in integration testing and test strategy development. Technical Expertise:Expertise in ADAS software integration and testing methodologies. Experience in system architecture design for integration and testing in automotive applications. In-depth knowledge of software testing tools, automation strategies, and methodologies. Familiarity with automotive testing environments and platforms, including hardware controllers and testing solutions. Leadership Skills: Experience leading or co-leading teams, managing technical deliverables, and mentoring engineers. Process Improvement: Proven experience defining and implementing best practices, processes, and workflows. Customer-Focused: Ability to understand customer needs and translate them into technical solutions. People Management: Ability to coach and guide teams to build automation frameworks, tools, and test solutions. Innovative Environment: Be at the forefront of automotive digital transformation, working on cutting-edge ADAS technologies. Career Growth: Engage with global teams and continuously enhance your skills and career path. Impactful Projects: Lead and contribute to impactful projects that shape the future of automotive mobility. Collaborative Culture: Join a diverse and skilled team of engineers, united by a common goal of transforming mobility through technology. About CARIAD India: At CARIAD India, we foster a collaborative and innovative work environment that offers opportunities to work on some of the most advanced and impactful projects in the automotive industry. As part of a global team, you ll help drive the digitalization of the automotive sector while growing your career in a high-tech environment.

Software Engineer at Google Minimum Qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting. 2 years of experience with data structures or algorithms in either an academic or industry setting, and building software for data privacy or security (e.g., identity and access management). Experience with C++, infrastructure design, and Android app development. Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging. Experience developing accessible technologies. Experience with Security Analysis, Program Analysis, Decompiler. Knowledge of code and system health, diagnosis and resolution, and software test engineering. About the Job: Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will participate in the development of large scale Google infrastructure Design, as well as develop, and maintain scalable Google wide infrastructure to scan 1 million Android apps per day, manage Petabytes of analysis data, and protect over 3 billion devices. You will build systems to manage and extract intelligence from various sources and make the intelligence available to various internal systems and stakeholders The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments (desktop, mobile, applications). The products provide enterprises, and ultimately end users, the ability to utilize and manage their services at scale. We build innovative and compelling software products from apps to TVs, from laptops to phones that have an impact on people s lives across the world. Responsibilities: Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Software Engineer at Google (Android Focus) Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting. 2 years of experience with data structures or algorithms in either an academic or industry setting, and with Android application development. Experience in Android, Kotlin, Java, Mobile App Development, API Design. Preferred Qualifications: Master's degree or PhD in Computer Science or related technical field. 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging. Experience developing accessible technologies. Experience in code and system health, diagnosis and resolution, and software test engineering. Experience in backend e-commerce, internationalization, and localization. About the Job: Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments (desktop, mobile, applications). The products provide enterprises, and ultimately end users, the ability to utilize and manage their services at scale. We build innovative and compelling software products from apps to TVs, from laptops to phones that have an impact on people s lives across the world. Responsibilities: Write product or system development code. Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.

Software Engineer Power/Thermal Software Products Team Company Qualcomm India Private Limited Job Area Engineering Group > Software Engineering General Summary As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drive digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world-class products that meet and exceed customer needs. You will collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master s degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Languages such as C, C++, Java, Python, etc. Job Description Job Overview: The Power/Thermal Software Products Team at Qualcomm focuses on delivering industry-leading power, thermal, and limit software management solutions across Qualcomm s Mobile, Automotive, Compute, IoT, and AR/VR chipsets. In this role, you will work with cross-functional teams to: Identify power optimization and performance tuning opportunities. Perform thermal/limits hardware tuning, characterization, and risk assessment. Develop optimized solutions and mitigation strategies. Conduct system-level analysis of power/thermal use cases. Collaborate with Architecture, Hardware Design, Performance, Power/Thermal Systems, and various Software teams to create optimal system-level power/thermal software solutions. Develop tools and methodologies for competitive analysis to understand competitors strengths and weaknesses. Design and implement thermal mitigation schemes that are best in the industry. Preferred Qualifications 3+ years of experience with Programming Languages such as C, C++, Java, Python, etc. Strong systems/hardware background with a solid understanding of microprocessor architecture and common SoC hardware blocks (interconnects, display, graphics, etc.). Good understanding of operating system concepts including scheduling, memory management, process management, interrupt handling, and device drivers. Experience using debug tools such as JTAG debuggers, oscilloscopes, and logic analyzers. Experience developing power/thermal management software. In-depth knowledge of embedded systems, microcontrollers, SoC power, modems, multimedia, wireless communications, and system-level debugging/analysis for SoC power optimization. Equal Opportunity Employer Statement Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. You may email [email protected] or call Qualcomm s toll-free number found on their website. Upon request, reasonable accommodations will be provided to support individuals with disabilities during the hiring process. Qualcomm is also committed to ensuring its workplace is accessible to individuals with disabilities. (Please note that this email address is exclusively for accommodation requests. Qualcomm will not respond to requests for application status updates or resume inquiries via this email.) Recruitment Policy Qualcomm s Careers Site is only for individuals seeking employment directly with Qualcomm. Staffing and recruiting agencies, as well as candidates represented by agencies, are not authorized to use this site to submit profiles, applications, or resumes. Any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies and is not responsible for any associated fees. Compliance Notice Qualcomm employees are expected to comply with all applicable policies and procedures, including but not limited to security requirements and protection of company confidential and proprietary information, in line with applicable laws. Qualification : Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

Meet the Team As a Technical Lead, you will drive technical excellence across HPC infrastructure, network automation, DevOps practices, and SRE principles while leading architecture decisions and guiding teams in implementing high-performance solutions for AI/ML workloads on various network topologies. This role combines deep technical expertise with leadership responsibilities, focusing on system architecture, automation, reliability engineering, and development excellence. Your Impact Design and implement end-to-end automation solutions for HPC infrastructure (Compute, network, and storage) using Kubernetes operators, Terraform, and Ansible. Analyze compute, storage, and network traffic patterns during distributed training/inference operations across different AI/ML frameworks. Monitor and optimize network utilization patterns for various model architectures. Identify bottlenecks in network communication patterns. Perform root cause analysis across network, compute, and storage layers, with experience handling various failure scenarios and recovery procedures. Make architectural decisions and drive innovation. Develop infrastructure patterns for different workload types. Provide benchmarking and performance engineering leadership. Mentor junior engineers through architecture reviews and code critiques. Design and implement comprehensive telemetry collection systems for monitoring high-speed network microburst behavior. Develop sophisticated visualization tools and analytics frameworks to enable real-time identification of performance bottlenecks and system constraints, facilitating rapid optimization and troubleshooting. Minimum Qualifications Demonstrated expertise in distributed systems and infrastructure design (compute, storage, and networking). Experience with network automation tools and configuration management (Ansible, Python, Golang, YAML, YANG). Strong background in CI/CD, GitOps, or similar practices and tools. Expert-level experience with observability platforms and practices. Strong background in implementing distributed tracing, metrics collection, and log aggregation systems. Demonstrated experience in at least one completed performance benchmarking project for distributed systems, storage, network, and compute. Preferred Qualifications Bachelor s degree in Computer Science, Software Engineering, or a related technical field with 15-20 years of extensive hands-on experience in distributed systems development and DevOps practices. An advanced degree is a plus. Contributions to open-source projects related to distributed systems or performance engineering. Experience in analyzing and documenting system performance metrics across network, compute, and storage layers. Prior experience mentoring and developing technical talent. Understanding of AI/ML infrastructure and any prior experience with RDMA, RoCE v2 will be an added advantage. #WeAreCisco #WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Qualification : Bachelors degree in Computer Science, Software Engineering, or a related technical field with 15-20 years of extensive hands-on experience in distributed systems development and DevOps practices. An advanced degree is a plus.

Skills Required: Should have a minimum 6+ years in Data Engineering, Data Analytics platform. Should have strong hands-on design and engineering background in AWS, across a wide range of AWS services with the ability to demonstrate working on large engagements. Should be involved in Requirements Gathering and transforming them to into Functionally and technical design. Maintain and optimize the data infrastructure required for accurate extraction, transformation, and loading of data from a wide variety of data sources. Design, build and maintain batch or real-time data pipelines in production. Develop ETL/ELT Data pipeline (extract, transform, load) processes to help extract and manipulate data from multiple sources. Automate data workflows such as data ingestion, aggregation, and ETL processing and should have good experience with different types of data ingestion techniques: File-based, API-based, streaming data sources (OLTP, OLAP, ODS etc) and heterogeneous databases. Prepare raw data in Data Warehouses into a consumable dataset for both technical and non-technical stakeholders. Strong experience and implementation of Data lakes, Data warehousing, Data Lakehousing architectures. Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures. Monitor data systems performance and implement optimization strategies. Leverage data controls to maintain data privacy, security, compliance, and quality for allocated areas of ownership. Experience of AWS tools (AWS S3, EC2, Athena, Redshift, Glue, EMR, Lambda, RDS, Kinesis, DynamoDB, QuickSight etc.). Strong experience with Python, SQL, pySpark, Scala, Shell Scripting etc. Strong experience with workflow management & Orchestration tools (Airflow, Should hold decent experience and understanding of data manipulation/wrangling techniques. Demonstrable knowledge of applying Data Engineering best practices (coding practices to DS, unit testing, version control, code review). Big Data Eco-Systems, Cloudera/Hortonworks, AWS EMR etc. Snowflake Data Warehouse/Platform. Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming. Experience of working with CI/CD technologies, Git, Jenkins, Spinnaker, Ansible etc Experience building and deploying solutions to AWS Cloud. Good experience on NoSQL databases like Dynamo DB, Redis, Cassandra, MongoDB, or Neo4j etc. Experience with working on large data sets and distributed computing (e.g., Hive/Hadoop/Spark/Presto/MapReduce). Good to have working knowledge on Data Visualization tools like Tableau, Amazon QuickSight, Power BI, QlikView etc. Experience in Insurance domain preferred.