Production Engineering Jobs in Bengaluru

Gen AI Support Engineer-2 Location: Bengaluru Experience: 4 7+ years Employment Type: Full-time About Us Exotel is the leading full-stack customer engagement platform and virtual telecom operator for emerging markets. Since its inception in 2011, Exotel has been powering 50 million daily engagements across voice, video, and messaging channels. We provide our unified customer engagement solutions to over 6000 companies globally, including industry leaders like Ola, Swiggy, Flipkart, GoJek, Byjus, Urban Company, HDFC Bank, Zomato, and Oyo. With $100 million in Series D funding and an ARR of $60 million, Exotel is a growth-stage company poised for massive impact. Overview We're seeking a Gen AI Support Engineer-2 to join our team. As an L2 Support Engineer, you will be the highest level of technical escalation within the support organization. Your role will encompass system reliability, platform integrity, troubleshooting mission-critical production issues, and collaborating with engineering teams for architecture feedback. Additionally, you'll help mentor junior engineers and improve operational processes and tools for large-scale environments. If you're passionate about writing clean code with Python and Django and want to contribute to a fast-paced, mission-driven company, this role is for you! Responsibilities Mission-Critical Issue Resolution: Own the resolution of high-priority, time-sensitive production issues. Root Cause Analysis (RCA): Lead RCA reviews and push for systemic improvements in system architecture and processes. Performance Optimization: Identify bottlenecks and propose architectural changes to improve system performance and scalability. Patch Management: Assist in configuring, deploying, and testing patches, releases, and application updates to production environments. SME for Production Systems: Serve as the Subject Matter Expert (SME) for Exotel's production systems and integrations. Cross-Team Collaboration: Work with Delivery, Product, and Engineering teams to influence system design, rollout strategies, and improvement plans. Mentorship: Lead and mentor L1/L2 engineers on troubleshooting best practices and continuous learning. Code Writing & Automation: Write clean, maintainable code for internal tools, scripts, and automation using Python and Django. Support Tooling: Automate recovery workflows and design support tools for proactive monitoring. Operational Excellence: Establish and improve SLAs, monitoring dashboards, alerting systems, and operational runbooks to ensure system reliability. Must Have Skills Backend Development Support: 3+ years of experience in backend development support, production support, or DevOps/SRE roles. Core Technologies: Proficiency in Python, Django, SQL, and troubleshooting in Linux. Web Technologies: Strong understanding of HTML, CSS, JavaScript, and other web technologies. Distributed Systems & Cloud: Experience working with distributed systems, cloud architecture (AWS), Docker, and Kubernetes. Automation: Strong scripting skills with Bash/Python for automation and operational support. CI/CD & Observability: Good understanding of CI/CD, observability tools, and release management workflows. Communication Skills: Excellent communication, leadership, and incident command skills for managing production issues and cross-functional collaboration. Nice to Have Experience with AI-powered systems and machine learning technologies. Familiarity with monitoring systems like Prometheus, Grafana, or Elasticsearch. Knowledge of microservices architectures and scaling distributed systems. Innovative Work: Be at the forefront of cloud-based communications technology and AI-driven customer engagement platforms. Impact: Play a key role in maintaining and optimizing systems that power millions of customer interactions daily. Growth Opportunities: Be part of a fast-growing company with ample learning opportunities and career development. Collaborative Environment: Work in a supportive, inclusive environment where your input and ideas matter. Competitive Benefits: Comprehensive benefits package including health insurance, mental wellness support, and more.

Distinguished Engineer Machine Learning Engineering Location: Bangalore Company: Capital One India About Us At Capital One India, we re redefining how technology powers financial services. Our teams work in a fast-paced, intellectually rigorous environment to tackle complex business challenges at scale. By harnessing the power of advanced analytics, data science, and machine learning, we create innovative, patentable solutions that transform customer experiences and drive the business forward. Team Overview: Machine Learning Experience (MLX) The MLX team leads Capital One s mission to build scalable, well-managed ML systems and platforms. We empower teams across the enterprise to develop, govern, and deploy machine learning models efficiently, securely, and at scale. From automated model governance to observability platforms, MLX enables end-to-end ML lifecycle management laying the foundation for AI-driven innovation across the organization. Role Overview We re looking for a Distinguished Engineer Machine Learning Engineering to join our MLX team. In this high-impact role, you'll architect and implement the platforms and tools that support model observability, automated governance, and ML model deployment at scale. This is an opportunity to drive enterprise-wide innovation and shape how ML is integrated into Capital One s core business systems. What You ll Do Design and build systems that capture and analyze large-scale model and feature metadata, including training metrics and runtime performance, to power model observability and governance automation. Partner with cross-functional teams including product managers, designers, and platform engineers to create scalable solutions that accelerate ML model lifecycle management. Lead efforts to enable automated governance decisions for ML models, ensuring compliance, auditability, and operational integrity. Architect and implement high-performance data pipelines that feed ML models with real-time and batch data. Contribute to the design and implementation of cloud-native ML systems using tools such as AWS, Kubernetes, and Terraform. Write clean, scalable, production-grade code in languages like Python, Go, or Java. Implement CI/CD pipelines, testing frameworks, and monitoring systems for ML applications. Drive the adoption of best practices in ML Ops, observability, and platform resilience. Basic Qualifications Master s Degree in Computer Science or related field. 15+ years of experience in software engineering or solution architecture. 10+ years building data-intensive, distributed computing systems. 10+ years programming in Python, Go, or Java. 8+ years of hands-on experience with industry-leading ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Dask, Spark). Preferred Qualifications PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field. 5+ years of experience building, scaling, and optimizing production ML systems. Deep expertise in data preparation, feature engineering, and ML pipeline optimization. 10+ years writing performant, maintainable, and resilient production code. Strong experience deploying ML solutions on public cloud platforms (AWS, Azure, GCP). Expertise in distributed systems, file systems, or multi-node databases. Open-source contributor to ML tools or libraries. Published work in ML (papers, patents, blogs, etc.). 5+ years of experience in ML Ops (using MLflow, TFX, Kubeflow, etc.). Experience with LLMs and Generative AI applications (open-source or commercial models). Proven experience designing production-ready observability platforms for ML applications. Be at the forefront of building scalable, secure, and enterprise-grade ML platforms. Shape the future of AI and ML adoption in a top-tier financial institution. Collaborate with world-class engineers and data scientists. Solve real-world problems with high business impact. Thrive in a diverse, inclusive, and innovation-focused culture. Qualification : PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field

Principal Associate Full Stack Engineering (GenAI Observability) Location: Bangalore Company: Capital One India About Us At Capital One India, we re tackling some of the most complex problems in financial services using machine learning, advanced analytics, and cloud-first engineering. Our mission is to build cutting-edge, patentable solutions that transform customer experiences, enhance operational efficiency, and ensure robust risk and compliance standards. We re a team of makers, breakers, doers, and disruptors obsessed with turning data into real-world impact at scale. About the Team Machine Learning Experiences (MLX) The MLX team is pioneering the future of model governance, ML observability, and Generative AI infrastructure at Capital One. We re enabling teams to seamlessly deploy ML and GenAI models at scale, with full visibility into performance, health, compliance, and ethical usage. This is the platform powering the next generation of AI-driven financial products across the company. About the Role We re looking for a Principal Associate Full Stack Engineer to lead the development of observability platforms for Generative AI systems. You ll be part of a cross-functional team focused on governance automation, LLM monitoring, and intelligent diagnostics using telemetry data, metadata, and advanced analytics. You ll design systems to collect, analyze, and visualize performance data from our large-scale GenAI infrastructure, helping data scientists and engineers make faster, safer decisions. What You ll Do Lead architecture and development of observability tools and dashboards for monitoring GenAI models and platform health. Design and build core APIs and SDKs to instrument large language models (LLMs) and foundational models (training, fine-tuning, prompting stages). Integrate Generative AI to enable observability features like anomaly detection, predictive analytics, and copilot-assisted troubleshooting. Partner with platform, MLOps, and governance teams to ingest and analyze telemetry, metadata, and runtime metrics at scale. Drive development of tools to ensure compliance with AI ethics, data governance, and industry regulations. Collaborate with product, design, and research to turn complex requirements into scalable, cloud-native software solutions. Lead proof-of-concept initiatives to test and showcase how GenAI can improve platform observability and decision-making. Contribute to the open-source community and stay at the forefront of GenAI and ML infrastructure evolution. Basic Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field 4+ years of experience building distributed, data-intensive systems using microservices architecture 4+ years of experience in backend development with Python, Go, or Java 4+ years of expertise with observability stacks (Prometheus, Grafana, ELK) and adapting them for AI systems Strong knowledge of OpenTelemetry, and experience building custom SDKs and APIs 5+ years of hands-on experience with Generative AI models, especially applied to observability, governance, or compliance 2+ years of experience with cloud platforms such as AWS, Azure, or GCP Preferred Qualifications 4+ years building and optimizing ML systems in production environments 3+ years of experience with MLOps tools like MLflow, Kubeflow, or commercial platforms Experience with GenAI frameworks and libraries like LangChain, Haystack, and vector databases (FAISS, Chroma, OpenSearch) Familiarity with emerging observability tools for LLMs such as Langfuse, Phoenix, Helicone, or OpenInference Contributor to open-source GenAI or ML infrastructure projects Author or co-author of published work in AI/ML observability, governance, or performance monitoring Experience with PyTorch, TensorFlow, Spark, or Dask Knowledge of NVIDIA GPU telemetry, CUDA programming, and performance optimization for AI workloads Understanding of AI ethics, data governance, and regulatory frameworks for machine learning systems Why Join Capital One India Work at the intersection of technology, AI, and compliance helping shape the future of responsible AI Join a team driving enterprise-wide adoption of Generative AI Collaborate with world-class engineers, data scientists, and product leaders Enjoy a high-performance culture that encourages innovation, learning, and mentorship Access to cutting-edge tools, open-source contributions, and cloud-native infrastructure Qualification : Bachelors or Masters degree in Computer Science, Engineering, or related field

Job Title: Specialist Software Engineering Location: Bengaluru Type: Full-Time Level: Senior Engineer About BetaNXT BetaNXT is redefining connected wealth management infrastructure with next-gen, real-time data solutions that streamline operations, enhance advisor productivity, and elevate the investor experience. By combining the strength of our trusted platforms Beta, Maxit, and Mediant we deliver flexible, scalable solutions that anticipate the evolving needs of the wealth management industry. We help firms transform legacy systems into strategic assets, enabling enterprise scale, cost efficiency, and accelerated growth. About the Role We are looking for a Specialist Software Engineering to join our Product Engineering team. This is an exciting opportunity for an experienced and technically driven engineer passionate about enterprise integration, legacy modernization, and building mission-critical systems. You ll play a key role in developing complex software solutions, collaborating with architects and cross-functional teams, and helping shape the next generation of our platform. Key Responsibilities Lead the design, development, and enhancement of complex software components and systems. Collaborate with Solution Architects and other stakeholders to define scalable, efficient solutions. Develop and maintain both new features and legacy systems in alignment with business and technical requirements. Conduct unit and integration testing to ensure software quality and compliance. Perform code reviews, provide feedback, and mentor junior engineers. Contribute to architectural discussions, risk assessments, and solution planning. Participate in Agile planning, providing effort estimates and technical inputs. Maintain clear, detailed technical documentation to support future maintenance and development. Provide regular progress updates, and support production systems and on-call rotations when needed. Drive knowledge sharing and help build technical capability across the team. Qualifications & Experience Must-Have 7+ years of experience in Enterprise Application Integration and Mainframe Technologies. Deep expertise in COBOL, JCL, CICS, DB2, VSAM, including CICS Web Services and Transaction Server 3.1. Experience with integration technologies: IBM Integration Bus (IIB 10) IBM App Connect Enterprise (ACE 12) IBM MQ Series, IBM DataPower Proficiency with mainframe tools: TSO, File-Aid, Syncsort, Platinum, Abend-Aid, Mainview Familiarity with JCL utilities and version control systems such as ChangeMan. Understanding of performance tuning metrics: CPU usage, response time, network latency, etc. Proven experience working in Agile/SCRUM teams. Strong analytical thinking, collaboration, and communication skills. Good to Have Exposure to modern DevOps practices, GIT, or CI/CD pipelines. Master s degree or relevant professional certifications. Work on high-impact platforms powering the wealth management industry. Be part of a modernization journey transforming legacy infrastructure into future-ready systems. Collaborate with cross-functional, global teams in a fast-paced and inclusive environment. Grow within a company that values technical excellence, innovation, and continuous learning. Qualification : Masters degree or relevant professional certifications

Job Title: Lead Associate Software Engineering (COBOL) Location: Bengaluru Employment Type: Full-Time Level: Senior Engineer About BetaNXT BetaNXT is building the future of connected wealth management infrastructure, combining real-time data capabilities with deep industry expertise to elevate the advisor and investor experience. Through the power of our trusted platforms Beta, Maxit, and Mediant we are modernizing legacy systems and solving the most complex integration challenges in wealth management. Our mission: streamline operations, enhance productivity, and unlock enterprise scalability for financial institutions. About the Role We are looking for a Lead Associate Software Engineering with strong experience in MicroFocus and Veryant COBOL to join our product engineering team. In this hands-on leadership role, you ll design, build, and modernize high-performance systems that support critical financial workflows in both client/server and cloud environments. This is an excellent opportunity for someone who thrives in legacy modernization, enjoys solving complex integration problems, and is passionate about writing clean, secure, and scalable code. Key Responsibilities Design and develop new features for enterprise systems using MicroFocus/Veryant COBOL. Refactor and modernize legacy code for scalability, performance, and maintainability. Architect solutions for new and existing applications in client/server and cloud-hosted environments. Perform code reviews, ensure secure coding practices, and guide team members on design and implementation. Collaborate with cross-functional Agile teams (Product, QA, DevOps) to deliver end-to-end technical solutions. Write clean, modular, and well-documented code; enforce coding standards across the team. Translate user requirements into effective software design. Ensure high code quality and application performance through best practices and testing. Monitor production systems, support deployments, and troubleshoot full-stack issues. Document system architecture, APIs, and technical specifications. Required Qualifications Bachelor s or Master s degree in Computer Science, Software Engineering, or related field. 3 5 years of hands-on experience in software development, with recent focus on COBOL-based systems. Experience with MicroFocus/Veryant COBOL and ISAM file systems. Hands-on knowledge of GitLab for source control, CI/CD pipelines, and version management. Proven experience leading Agile development teams and mentoring junior engineers. Solid understanding of the software development life cycle (SDLC) and Agile methodologies. Strong problem-solving skills and the ability to work independently as well as in a team environment. Demonstrated success in delivering complex projects from design through deployment. Preferred Qualifications Experience with: XML, VS Code IDE PowerShell or other scripting languages Exposure to application performance tuning, monitoring tools, and system health diagnostics. Knowledge of financial services or experience working with mission-critical enterprise platforms. Personal Attributes Self-starter with a growth mindset and eagerness to learn new technologies. Comfortable working across legacy systems and modern cloud-based solutions. Strong attention to detail and commitment to quality. Thrives in fast-paced, collaborative environments. Passion for solving large-scale technical challenges. Be part of an organization modernizing wealth management infrastructure at scale. Work on mission-critical systems used by top-tier financial institutions. Collaborate with a high-performing, globally distributed engineering team. Grow your career in an environment that values innovation, autonomy, and continuous learning. Qualification : Bachelors or Masters degree in Computer Science, Software Engineering, or related field

Job Title: Industrialization Engineer Location: Bengaluru, India Experience Required: 5 10 years Industry: Electronics / Electric Vehicles Employment Type: Full-time Company: Ultraviolette Automotive Pvt Ltd Join the Charge. Create the Future. At Ultraviolette, we are redefining mobility. From building India s fastest electric motorcycle to developing the world s most advanced electric scooter, we thrive on innovation, bold thinking, and performance that thrills. We're a diverse, passionate team of engineers, designers, and creators united by one mission: to build machines that are not only sustainable, but exhilarating. If you re driven by purpose and ready to shape the future of mobility, this is your moment. Role Overview: We are looking for a technically strong and hands-on Industrialization Engineer (Electronics) to lead the transition from R&D prototypes to scalable, high-quality mass production. In this cross-functional role, you will work at the intersection of design, manufacturing, sourcing, and embedded systems, ensuring our products are built for scale, reliability, and performance without compromising innovation. Key Responsibilities: Technical Ownership & Industrialization: Lead industrialization from EVT (Engineering Validation Test) to DVT (Design Validation Test) and PVT (Production Validation Test), up to mass production. Translate R&D designs into production-ready documentation (BOMs, Gerbers, PCBA specs, test jigs, etc.). Conduct Design for Manufacturability (DFM) and Design for Testability (DFT) reviews. Own ramp-up metrics such as yield, test coverage, defect trends, and field return analysis. Collaborate with R&D teams on thermal design, layout optimization, and component derating strategies. Ensure compliance with voltage isolation, creepage/clearance, and relevant safety standards. Supplier & EMS Collaboration: Act as a technical bridge between internal teams and EMS vendors, ensuring alignment from design to execution. Coordinate with EMS on NPI builds, process validation, line setup, and FAI (First Article Inspection). Support firmware flashing, version control, and hardware-software integration testing at production lines. Assist in troubleshooting mechanical, electrical, or firmware-related issues during production. Component Engineering & Cost Optimization: Evaluate and qualify alternate components and suppliers. Drive cost engineering and BOM optimization without compromising on quality. Engage in component lifecycle management and ensure availability through the production lifecycle. Required Qualifications & Skills: B.E./B.Tech in Electronics, Electrical, or related field 5 10 years experience in hardware industrialization, preferably in EV or electronics manufacturing Strong knowledge of PCB design reviews, SMT/PCBA processes, and box build Hands-on with tools like Altium, OrCAD, or similar for PCB-level evaluations Experience with ICT/FCT test setups, test fixture design, and test station validation Basic embedded systems understanding firmware flashing, serial log analysis, GPIO testing Experience working directly with EMS vendors, test labs, and component suppliers Excellent cross-functional communication skills Willing to travel to EMS or supplier sites for builds and validation Nice to Have (Preferred): Familiarity with FMEA, APQP, PPAP, ISO/IATF 16949 processes Knowledge of compliance and safety standards (e.g., IEC, ISO 26262) Background in value engineering, cost-down programs, and process audits Work on industry-defining EV products with world-class engineering challenges Collaborate with cutting-edge R&D and manufacturing teams Be part of a mission-led company that s changing the landscape of mobility A workplace culture that values ownership, audacity, and excellence Apply now and be a part of something bigger. Let s create the future together. Qualification : B.E./B.Tech in Electronics, Electrical, or related field

Senior Engineering Manager Location: Bengaluru Experience: 13 18 years Team: Engineering Industry: Web3 | Crypto | Fintech About CoinDCX: Building Tomorrow, Today At CoinDCX, we believe that change starts together. Over the past six years, we ve grown from India s first crypto unicorn into a platform trusted by over 125 million users. As we continue scaling, our mission is clear: make Web3 accessible to everyone by solving real challenges in accessibility, security, and usability. Join us in shaping the next frontier of finance where bold ideas meet cutting-edge technology. At CoinDCX, you ll be part of a team of innovators and disruptors who are rewriting the rules of digital finance. Together, we re building secure, scalable platforms that power the Web3 economy. Here, complex becomes simple, the inaccessible becomes accessible, and the impossible becomes achievable. The Role: Senior Engineering Manager As a Senior Engineering Manager, you'll lead and grow a team of talented engineers while driving the architecture and delivery of high-impact products. This role requires technical depth, strong leadership, and a product-oriented mindset. You'll work closely with cross-functional teams to build robust systems that power the future of crypto and Web3 at scale. What You ll Own Lead end-to-end product development from planning to production. Own system architecture and drive high-impact technical decisions. Mentor, manage, and grow a team of engineers through regular feedback, coaching, and performance reviews. Collaborate cross-functionally with Product, Design, and Business teams in an Agile environment. Champion engineering best practices and operational excellence. What You Bring Technical Expertise Proficiency in Go (primary) and hands-on experience with Java, Scala, or Python. Deep understanding of distributed systems, microservices, and event-driven architectures. Real-time data streaming experience with tools like Kafka, Flink, Pulsar, or Spark Streaming. Strong database knowledge: NoSQL: Cassandra, DynamoDB, MongoDB, ScyllaDB, Bigtable SQL: PostgreSQL, MySQL Experience with caching/in-memory systems like Redis, Aerospike, or Memcached. Exposure to financial systems (ledgering, reconciliation, reporting). Fintech or crypto background is a major plus. Execution & Problem Solving Proven experience building low-latency, high-throughput, and scalable platforms. Strong ability to translate ambiguous business problems into elegant technical solutions. Passionate about reliability, accuracy, and earning customer trust. Outcome-driven leader with a strong sense of ownership and accountability. Who You Are Inherently curious and driven to master Web3 and digital assets (VDAs). Thrive in fast-paced, high-change environments. A team player who believes in "We over Me" fostering both individual and team growth. Think like an owner with a constant focus on impact, innovation, and excellence. A creative problem solver who pushes boundaries, not buttons. Perks & Benefits Design Your Own Benefits Personalize your perks whether it's for gadgets, pets, or personal goals. Unlimited Wellness Leaves Take the time you need to rest and recharge with flexible wellness time off. Mental Wellness Support Access free counseling, mental health sessions, monthly wellness events, and more. Bi-Weekly Learning Sessions Stay ahead of the curve with regular upskilling and expert-led knowledge sharing. At CoinDCX, you won t just be part of a company you ll be part of a movement. Let s bridge the gap between millions of people and the promise of Web3. Let s build what s next. Apply now and lead the future of finance.

Application Engineer Department: Technical Location: Bangalore Experience: 1 4 Years Job Description We are looking for an enthusiastic and self-motivated Application Engineer with hands-on experience in Dassault Syst mes CATIA V5 and the 3DEXPERIENCE platform. This role requires strong technical aptitude, a passion for engineering solutions, and a willingness to travel to support customer needs. Candidates with familiarity in local industry practices will have an added advantage. Key Responsibilities Provide technical support and expertise on CATIA V5 and the 3DEXPERIENCE platform to clients across various industries. Conduct product demonstrations, training sessions, and technical workshops. Assist the sales team with pre-sales technical support, including understanding client requirements and proposing suitable solutions. Troubleshoot and resolve technical issues in a timely and professional manner. Maintain strong communication with customers to ensure satisfaction and ongoing support. Travel to client sites for implementation, support, and training as required. Stay updated on the latest developments in Dassault Syst mes products and industry trends. Requirements Educational Qualification: B.Tech/B.E./Diploma in Mechanical Engineering, Industrial Production Engineering, or Automobile Engineering. Experience: 1 to 4 years of relevant experience in a technical/application support role, preferably working with Dassault Syst mes solutions. Skills: Proficiency in CATIA V5 and familiarity with the 3DEXPERIENCE platform. Excellent communication and presentation skills. Strong problem-solving abilities and customer service orientation. Willingness to travel frequently for customer engagements. Knowledge of local industries and client needs is a plus. Qualification : B.Tech/B.E./Diploma in Mechanical Engineering, Industrial Production Engineering, or Automobile Engineering

Application Engineer Grinding Machines Location: Bangalore Employment Type: Full Time Experience Required: 5+ Years About Us Phillips Machine Tools is India s leading machine tool solution provider, offering cutting-edge technologies, automation systems, and engineering services to a wide range of industries. As we continue to grow, we are looking for a highly skilled Application Engineer Grinding Machines to join our expanding Applications Team. Role Overview In this role, you will leverage your expertise in grinding technologies to deliver advanced technical solutions, optimize manufacturing processes, and provide training and post-installation support to customers. You will play a critical role in ensuring high-precision machining and customer satisfaction. Key Responsibilities Apply hands-on expertise in Surface, Cylindrical, Centerless, and Tool & Cutter Grinding machines. Program, set up, and optimize CNC grinding machines for precision, productivity, and repeatability. Analyze customer component drawings to recommend appropriate machines, tools, and grinding processes. Conduct component prove-outs and validation on recommended machines. Deliver technical training for customers and internal teams on grinding operations, programming, and maintenance. Diagnose and resolve application and accuracy-related issues across grinding platforms. Collaborate with sales and service teams to support both pre-sales assessments and post-sales execution. Travel extensively for customer site visits, installations, and technical support. Candidate Profile Diploma/Degree in Mechanical or Production Engineering (or equivalent). Minimum 5 years of hands-on experience with grinding machine operations and applications. Strong working knowledge of CNC programming (Siemens, Fanuc, etc.). Proficient in reading and interpreting complex engineering drawings and specifications. Excellent communication, analytical, and troubleshooting skills. Open to frequent travel across India for on-site customer support. Collaborate with top global machine tool brands. Learn from and work alongside industry-leading experts. Thrive in a dynamic, high-growth environment with continuous learning. Enjoy competitive compensation, travel perks, and growth opportunities. Qualification : Diploma/Degree in Mechanical or Production Engineering (or equivalent)

NPD Engineer (Machining) Location: Bangalore Department: New Product Development (NPD) Designation: Engineer NPD Machining Job Description Sansera Engineering is seeking a detail-oriented and proactive NPD Engineer (Machining) to support new product development activities focusing on CNC turning and VMC (4th & 5th Axis) machining operations. The role requires strong technical expertise in CNC programming and machining, along with good coordination and documentation skills to ensure smooth prototype trials and process validation. Key Responsibilities Support New Product Development Activities: Coordinate and execute NPD projects involving CNC turning and VMC machining. Lead prototype trials, fixture setup, and process validation activities. CNC & VMC Operations Support: Assist in CNC turning and VMC machine operations, including tool setting, zero setting, and part inspection. Support programming and provide corrections as per quality feedback when required. Fixture & Tooling Support: Set up fixtures and select appropriate cutting tools for new components. Support trials for special fixture setups. Quality & Process Checks: Perform in-process quality checks using measurement instruments like Vernier calipers, micrometers, and bore gauges. Ensure sample parts conform to engineering drawings and assist in corrective actions when needed. Coordination & Documentation: Coordinate with production, quality, and design teams to facilitate smooth trial executions. Maintain detailed logs of setting parameters, inspection results, and observations during NPD activities. Required Skills and Knowledge Technical Skills: Strong knowledge of CNC turning and VMC (4th & 5th Axis) machine operations. Familiarity with G-codes and M-codes, including canned cycles (G71, G81, G83, G84, G90, G91). Understanding of machine zero setting, tool offsets, and wear compensation. Proficient in reading and interpreting engineering drawings, GD&T, and measurement tools. Software Skills: CNC & VMC Programming: FANUC & SIEMENS interfaces, manual code editing. CAD Software: AutoCAD for 2D drawing interpretation. CAM Software: Basic knowledge of Mastercam, Fusion 360, Edgecam, or Siemens NX (beneficial). Documentation: Proficient in MS Excel, Word, and PowerPoint. DNC/Program Transfer Tools: Experience with CIMCO Edit, Predator DNC, or NC Net (if applicable). Soft Skills: Strong team player with ability to work under supervision. Good communication and coordination skills. Eagerness to learn and adapt to new processes. Discipline in documentation and adherence to quality practices. Education & Experience ITI or Diploma in Mechanical Engineering or related field. 4 to 6 years of relevant experience in machining, CNC programming, and NPD support. Qualification : ITI or Diploma in Mechanical Engineering or related field

Job Title: Network Engineer Experience Required: 3 to 7 years Minimum Qualification: Bachelor of Engineering (BE) Location: Bengaluru Key Skills Network Architecture & Design Network Configuration & Troubleshooting CCNA or Equivalent Certification Routing Protocols: BGP, OSPF Firewalls & Network Security Routers & Switches Layer 2/Layer 3 Technologies IP Planning, QoS, NAT, Load Balancing Vendor Integration & System Testing Job Summary We are seeking a skilled and motivated Network Engineer with 3 7 years of hands-on experience in designing, implementing, and managing network infrastructure. The ideal candidate will possess strong technical knowledge in routing, switching, network security, and integration of multi-vendor systems. Key Responsibilities Design and implement robust network architectures tailored to business needs. Configure and maintain routers, switches, and firewalls across Layer 2 and Layer 3 technologies. Perform IP planning and network design, including the use of virtual routing domains. Implement and manage routing protocols such as BGP and OSPF. Configure and optimize QoS, NAT, and load balancing solutions. Integrate and manage networking components from various vendors. Collaborate with cross-functional teams for product development and system integration. Capture and document system/product requirements, high-level and low-level designs. Handle end-to-end implementation, integration, and configuration of networking subsystems. Work with customers, vendors, and OEMs to ensure smooth deployment and operation. Coordinate with certification agencies for product/documentation approval. Support system installation, commissioning, testing, and troubleshooting in production environments. Qualification : Bachelor of Engineering (BE)

Job Title: Mechanical Design Engineer Location: Bengaluru Experience Required: 2 to 4 years Minimum Qualification: Bachelor of Engineering (BE) Key Skills Mechanical Product Design 3D Modeling (NX or SolidWorks) Engineering Drawing & Documentation Prototyping & Testing FEA & Tolerance Stack-Up Analysis DFMEA & Risk Assessment Cross-functional Collaboration Supplier & Manufacturing Support Job Summary We are looking for a talented and detail-oriented Mechanical Design Engineer to support the development of innovative mechanical products from concept through to production. The ideal candidate will have 2 4 years of hands-on experience in mechanical design, a strong grasp of engineering principles, and a passion for problem-solving and continuous improvement. Key Responsibilities Support mechanical design efforts for new product development from concept to launch. Create detailed 3D models, engineering drawings, and Bills of Materials (BOMs) using NX or SolidWorks. Build and test prototypes to validate design concepts and performance. Collaborate closely with electrical, software, industrial design, and manufacturing teams. Evaluate material choices, manufacturing processes, and cost implications during the design phase. Perform tolerance stack-up analyses, finite element analysis (FEA), and other engineering calculations. Participate in and support design reviews, DFMEA sessions, and risk assessments. Liaise with suppliers and contract manufacturers to ensure design integrity through production. Maintain accurate documentation in line with engineering change control and regulatory requirements. Contribute to continuous improvement initiatives and intellectual property (IP) development. Qualification : Bachelor of Engineering (BE)

Position: Production Engineer Department: Production Location: Bengaluru Role Overview: We are seeking a skilled Production Engineer to manage and optimize the operation of press machines within our production facility. The ideal candidate will ensure smooth, efficient production processes by maintaining equipment, troubleshooting issues, and driving continuous improvement in machine performance and product quality. Key Responsibilities: Oversee the day-to-day operation of press machines, ensuring they run efficiently and meet production targets. Perform routine preventive maintenance to keep press equipment in peak operating condition. Troubleshoot and resolve mechanical, electrical, or operational problems promptly to minimize production downtime. Calibrate and adjust machinery to maintain adherence to quality standards and product specifications. Analyze production data to identify opportunities for enhancing press performance, reducing cycle times, and improving product quality. Respond quickly to mechanical and electrical faults, implementing effective corrective measures. Qualifications & Skills: Bachelor s degree (B.E/B.Tech) in Mechanical Engineering or a relevant diploma. Practical experience in machine operation, maintenance, and troubleshooting in a manufacturing environment. Strong problem-solving skills with the ability to diagnose and fix mechanical and electrical issues efficiently. Knowledge of quality standards and machine calibration techniques. Qualification : Bachelors degree (B.E/B.Tech) in Mechanical Engineering or a relevant diploma.

Job Title: Senior Manager Data Science, Data Modelling & Analytics Location: Bengaluru Department: Insights & Analysis About the Role: As a Senior Manager, you will lead a team of data scientists and analysts, driving the development and deployment of advanced analytics solutions that enable data-driven decision-making. This role blends strategic leadership with hands-on technical expertise, playing a critical part in delivering impactful insights and analytics across the organization. Key Responsibilities: Hands-On Technical Contribution: Design, develop, and deploy advanced machine learning models and statistical analyses to address complex business challenges. Utilize Python, R, SQL, and other tools to manipulate data and build predictive models. Manage end-to-end data pipelines including collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on analytics solutions and metrics aligned with business needs. Team Leadership & Development: Lead, mentor, and manage a team of data scientists and analysts, fostering collaboration and innovation. Guide career development, conduct performance evaluations, and promote skill enhancement. Encourage continuous learning and adoption of best practices in data science methodologies. Strategic Planning & Execution: Collaborate with senior leadership to define and execute data science strategy aligned with business goals. Identify and prioritize high-impact analytics projects that deliver business value. Ensure timely and quality delivery of analytics solutions balancing scope and resources. Client Engagement & Stakeholder Management: Act as primary point of contact for clients, translating business challenges into data science solutions. Lead client presentations, workshops, and discussions, effectively communicating complex analytical concepts. Build and maintain strong client relationships, managing expectations and deliverables. Deliver regular reports and dashboards to senior management and stakeholders. Bridge communication between technical teams and business units to align analytics initiatives with organizational objectives. Cross-Functional Collaboration: Work closely with Business Intelligence, Market Analytics, and Data Engineering teams to integrate analytics into business processes. Translate complex insights into actionable recommendations for non-technical stakeholders. Facilitate data-driven workshops and presentations across the organization. Collaborate with support functions to provide timely leadership updates on operational metrics. Governance & Compliance: Ensure compliance with data governance policies and data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical analytics use. Stay abreast of industry trends and regulatory changes affecting data analytics. Qualifications: Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Experience: 12+ years in advanced analytics, data science, data modelling, machine learning, or related fields. 5+ years in leadership roles managing analytics teams and projects. Experience in BFSI, Hi-Tech, Retail, or Healthcare industries preferred. Experience with media data is a plus. Technical Skills: Proficiency in Python, R, SQL. Experience with data visualization tools like Tableau, Power BI. Familiarity with big data platforms (Hadoop, Spark) and cloud services (AWS, GCP, Azure). Strong knowledge of machine learning frameworks and libraries. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and interpersonal abilities. Ability to influence and drive organizational change. Strategic thinker focused on business outcomes. Desirable Expertise: Advanced Analytics Techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression, time series forecasting, classification, market mix modelling. Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: NLP, sentiment analysis. Machine Learning Techniques: Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting, SVMs. Unsupervised Learning: Clustering, PCA, anomaly detection. Reinforcement Learning: Q-learning, deep Q-networks. Generative AI & Large Language Models (Good to Have): Experience with GPT, Gemini, LLAMA, etc. for text generation, summarization, conversational agents. Hyperparameter tuning, prompt engineering, embeddings, fine-tuning. Additional Skills: Proficiency with Tableau or Power BI (advanced visualization). Strong data management, structuring, and harmonization skills.

Principal Engineer Location: Bengaluru, Karnataka, India Employment Type: Full-time About Serko: Serko is a cutting-edge technology platform transforming global business travel and expense management. Joining Serko means becoming part of a passionate team of travelers and technologists who bring people together through the world s leading business travel marketplace. As an equal opportunity employer, we value diversity and authenticity to create meaningful impact worldwide. With offices in New Zealand, Australia, North America, China, and now Bengaluru, we are rapidly expanding our global footprint. Role Overview: As a Principal Engineer at our Bengaluru office, you will shape the technical vision and architecture of our products, working closely with engineering leadership and product teams. This pivotal role is ideal for someone who thrives on solving complex engineering problems, driving architectural excellence, mentoring peers, and staying hands-on with coding. Key Responsibilities: Define and evolve the technical direction for product streams in collaboration with senior engineers, architects, and product stakeholders. Champion best engineering practices focused on code quality, performance, maintainability, and security. Lead by example: write clean, efficient, scalable code and guide others through architecture, design, and code reviews. Identify and resolve cross-team technical challenges, ensuring alignment with architectural goals and on-time delivery. Collaborate closely with Product Managers and Designers to build impactful features that address real user needs. Research and evaluate new technologies to enhance platform capabilities and improve engineering processes. Mentor and coach engineers within your team and across product streams, fostering a culture of ownership, collaboration, and continuous growth. Stay up-to-date with industry trends and contribute to improving software development, testing, and delivery practices. What You ll Bring: Strong hands-on expertise in modern technologies such as Java, Kotlin, .NET, React, AWS, or similar tech stacks relevant to your stream. Solid understanding of software architecture, system design, and performance in production environments. Proven ability to solve complex engineering challenges in a collaborative, team-oriented environment. Pragmatic approach balancing immediate needs with long-term scalability and maintainability. Excellent communication and collaboration skills. Experience mentoring engineers and guiding them through design and development processes. Familiarity with Agile methodologies and CI/CD pipelines. Bachelor s degree in Computer Science, Engineering, or a related field or equivalent practical experience. Benefits: Competitive base salary. Comprehensive medical benefits. Discretionary incentive plan based on individual and company performance. Access to learning & development platforms to support career growth. Flexible work policies promoting work-life balance. Supportive environment with the right tools to help you deliver high-quality, innovative solutions. Qualification : Bachelors degree in Computer Science, Engineering, or a related fieldor equivalent practical experience.

Subject Matter Expert (SME) Production Optimization Location: Bengaluru Department: Global Strategic Services Data Science EMEA Employment Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader driving industrial digital transformation through AI and data. Our flagship solutions include Cognite Atlas AI and Cognite Data Fusion (CDF), empowering industries such as Oil & Gas, Chemicals, Pharma, Manufacturing, and Energy to optimize operations and innovate at scale. We have been honored with awards like the 2022 Technology Innovation Leader and 2024 Microsoft Energy and Resources Partner of the Year. Our Values Impact: Deliver meaningful results in every endeavor. Ownership: Take responsibility beyond boundaries, fostering inclusivity and teamwork. Relentless: Innovate persistently with resilience and care. Role Overview As a Production Optimization SME, you will leverage deep industry expertise to guide Cognite s Data Science and Customer Success teams in delivering data-driven production optimization solutions. Acting as a trusted advisor, you will collaborate with project teams and customers to ensure maximum value realization through strategic and technical guidance. Key Responsibilities Advise customers and internal teams on production optimization challenges and solutions. Collaborate with Project Managers, Customer Success, Sales, and Product teams to align delivery with business goals. Translate customer needs into actionable project scopes and solution designs. Demonstrate the value of Cognite Data Fusion and related applications for production optimization. Create demos, visualizations, and supporting materials for customer implementations. Provide on-site technical support and mentoring to technical teams, especially data scientists. Gather and relay customer feedback to improve products and solutions. Stay current on industry trends, Big Data, Business Intelligence, and Machine Learning technologies. What You Bring Bachelor s degree in Petroleum Engineering, Chemical Engineering, or related technical field. 5+ years experience in production engineering with expertise in: Optimizing production near wellbore, completions, and pipeline/network systems Designing and troubleshooting artificial lift systems (ESP, gas-lift, sucker rod pumps) Using multiphase flow simulators (Prosper, Gap, Pipesim) Analyzing reservoir and well performance data Conducting flow assurance studies (corrosion, scale, wax, hydrates, slugs) Familiarity with data-driven production optimization challenges and technologies. Python programming skills are a plus. Excellent presentation, coaching, and communication skills across organizational levels. Self-motivated, results-driven, and able to work independently and collaboratively. Proficient in English. Join a diverse, global team representing 70+ nationalities, with a strong focus on Diversity, Equality, and Inclusion (DEI). Work from a modern hybrid office environment in Bengaluru (Rathi Legacy, Hoodi). Enjoy a flat organization with direct access to leadership and minimal bureaucracy. Collaborate on ambitious projects impacting multiple industries worldwide. Engage with the Cognite HUB to exchange ideas and connect with peers and partners. Make Your Impact Be part of Cognite s mission to power digital transformation with DataOps and AI, enabling industrial clients to optimize operations sustainably and make better decisions every day. We welcome candidates from all backgrounds apply today! Qualification : Bachelors degree in Petroleum Engineering, Chemical Engineering, or related technical field.

Performance Engineer Location: Bengaluru (Whitefield) Team: Product Engineering Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader driving industrial digital transformation through AI and data. Our flagship products include Cognite Atlas AI and Cognite Data Fusion (CDF), empowering industries such as Oil & Gas, Chemicals, Pharma, and Manufacturing to harness data at scale. Recognized with multiple industry awards, including 2022 Technology Innovation Leader and 2024 Microsoft Energy & Resources Partner of the Year, we lead the way in innovative industrial solutions. Our Values Impact: Deliver meaningful outcomes with focus and purpose. Ownership: Take initiative, embrace responsibility, and collaborate inclusively. Relentless: Innovate persistently, learn from challenges, and improve continuously. Role & Responsibilities Design, develop, and execute performance and load tests to ensure system scalability, stability, and reliability of Cognite SaaS products. Identify performance bottlenecks and provide actionable insights for improvement. Build and maintain testing frameworks, scripts, and tools to support performance testing initiatives. Collaborate closely with engineering teams to align testing strategies with system architecture. Monitor production system performance and assist in root cause analysis of performance issues. Share performance optimization best practices via documentation, training, and team discussions. Qualifications Bachelor s or Master s degree in Computer Science, IT, or related fields. 3-5 years of experience in performance testing and engineering, preferably in SaaS environments. Proficiency with performance testing tools such as JMeter, Gatling, LoadRunner, BlazeMeter, or equivalents. Strong understanding of CI/CD pipelines and container technologies like Kubernetes and Docker. Solid programming skills in Java, Python, or similar languages. Experience with databases like PostgreSQL. Familiarity with performance monitoring and analysis tools such as Grafana and Prometheus. Preferred Skills Agile methodology experience and working in globally distributed teams. Expertise testing large-scale systems and handling high-volume data loads. Knowledge of React and JSON for test data creation and API performance testing. Diverse global community with 70+ nationalities and strong DEI focus. Modern, vibrant office in Whitefield, Bengaluru with hybrid work culture. Flat organizational structure with direct access to leadership and minimal bureaucracy. Collaborate with world-class talent on ambitious and impactful industrial tech projects. Engage with the wider Cognite community through HUB conversations and partnerships. Make an Impact Join Cognite to help build scalable, high-performing SaaS solutions that empower industrial enterprises globally. We welcome candidates from all backgrounds to apply. Qualification : Bachelors or Masters degree in Computer Science, IT, or related fields.

Job Title: Consultant - Content Operations Location: Bangalore, India Company: Glance An InMobi Group Company About Glance Glance is a leading consumer technology company powering innovative digital platforms such as Glance, Roposo, and Nostra. Founded in 2019 and headquartered in Singapore, Glance s smart lock screen technology transforms how users engage with their smartphones by delivering relevant content without searching or downloading apps. Currently, Glance s lock screen reaches over 400 million smartphones globally. Our platforms include: Glance: The revolutionary smart lock screen platform Roposo: A dynamic LIVE video platform transforming creator-led experiences Nostra: The largest gaming platform across India and Southeast Asia Join Glance and unlock your potential in a fast-paced, innovative environment. Here, your ideas matter you ll work on impactful projects alongside ambitious peers, leveraging the latest tech to reshape digital content experiences. We value autonomy, creativity, and collaboration. Enjoy benefits such as daily meals, wellness programs, tech tools, and a family-friendly workplace where your kids and pets are welcome. Key Responsibilities Content Operations Consultant Content Moderation: Ensure all user-generated and platform content adheres to Glance s brand guidelines, legal compliance, and community standards. Content Curation: Analyze user preferences, regional trends, and current events to select and organize engaging, relevant content. Creative Enhancement: Innovate by adding creative elements that boost emotional connection and user engagement across platforms. Content Publishing: Manage the end-to-end content publishing lifecycle, guaranteeing accurate, timely releases aligned with operational goals. Cross-Functional Collaboration: Work closely with engineering and product teams during content production and staging to ensure flawless publishing and technical accuracy. Candidate Profile & Qualifications Demonstrated experience (0.5 months to 1 year) in content moderation, digital content curation, creative content strategy, or content publishing in a fast-paced digital or tech environment. Strong understanding of content compliance, audience engagement, and digital publishing workflows. Ability to collaborate with cross-functional teams including engineering and product management. Excellent attention to detail, creativity, and adaptability in a dynamic work setting.

Job Title: Machine Learning Engineer III Location: Bangalore, India Company: Glance An InMobi Group Company About Glance Founded in 2019, Glance is a cutting-edge consumer technology company operating innovative digital platforms including Glance, Roposo, and Nostra. Our flagship Glance Lock Screen reaches over 450 million smartphones worldwide, delivering personalized, context-driven content without requiring app downloads. Roposo redefines live streaming experiences with creator-led interactive content, and Nostra stands as the largest gaming platform in India and Southeast Asia, offering immersive gaming and social engagement. Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group. At Glance, we believe in empowering you to dream big, innovate boldly, and own your impact from day one. Collaborate with talented peers on mission-critical projects leveraging bleeding-edge technology to disrupt consumer experiences. Enjoy perks including daily meals, gym access, training sessions, state-of-the-art tech tools, and a family-friendly workspace where your kids and pets are always welcome. Role Overview We are seeking a skilled Machine Learning Engineer III passionate about designing, developing, deploying, and scaling high-impact ML solutions. You will partner closely with data scientists, engineers, and product teams to build end-to-end ML systems, microservices, and APIs that power AI-driven products on Glance s platforms. Key Responsibilities Architect and implement scalable ML solutions to accelerate experimentation, model building, and deployment. Develop microservices and APIs for serving machine learning models and services efficiently. Design, prototype, and build new ML/AI products and proof-of-concepts in collaboration with cross-functional teams. Explore and adopt new platforms, algorithms, and technologies to enhance ML capabilities. Manage project priorities, deadlines, and deliverables while maintaining transparent communication across teams. Take ownership of end-to-end ML engineering lifecycle from research collaboration to production deployment. Preferred Qualifications 5+ years of professional experience as a Machine Learning Engineer with a proven track record of delivering impactful ML solutions. Bachelor s, Master s, or PhD degree in Computer Science, Mathematics, Statistics, or related analytical fields. Deep theoretical and practical knowledge of recommender systems, computer vision (CNNs), GPU optimization, and generative AI models. Proficiency in Python, Golang, Spark, and familiarity with popular data science and ML libraries. Strong background in advanced mathematics, statistics, and algorithmic problem solving. Excellent technical documentation skills and demonstrated leadership in driving cross-functional projects. Experience working in data science or research-oriented roles with a passion for solving complex challenges. Join Glance and contribute to building next-generation AI-driven consumer experiences. Apply now to be part of a visionary tech team in Bangalore! Qualification : Bachelors, Masters, or PhD degree in Computer Science, Mathematics, Statistics, or related analytical fields.

Staff Software Engineer - Networking Location: Bengaluru, India Company: Databricks About Databricks Databricks powers the world s best data and AI infrastructure platform, enabling data teams to tackle critical problems from transportation innovation to medical breakthroughs. Our platform unifies data, analytics, and AI for over 10,000 organizations worldwide, including more than half of the Fortune 500. Founded by the creators of Apache Spark , Delta Lake, and MLflow, Databricks is headquartered in San Francisco with global offices. Role Overview As a founding member of our new Networking Infrastructure team in Bengaluru, you will design and develop backend connectivity services that power millions of VMs running on Databricks. This platform connects our control plane to the compute plane, enhancing scalability and optimizing cloud resource usage. You ll collaborate closely with product management, operations, and engineering teams to deliver robust, scalable, and efficient networking solutions. This is an exciting hands-on leadership role for an experienced engineer passionate about multi-cloud and distributed systems challenges. What You ll Do Lead design and development of new networking services powering connectivity between control and compute planes. Build scalable backend connectivity systems supporting millions of virtual machines. Collaborate cross-functionally with product, operations, and engineering teams. Solve complex multi-cloud and distributed systems problems in a fast-paced environment. Contribute to setting up and growing the Bengaluru networking team from scratch. What We Look For 12+ years of production software engineering experience in Python, Java, Scala, C++, or similar. 7+ years building large-scale distributed systems from the ground up. Extensive experience in networking domain and SaaS platforms or Service-Oriented Architectures. Strong leadership and hands-on engineering skills. Passion for solving novel challenges in multi-cloud networking and distributed systems. Benefits Comprehensive benefits package tailored to employee needs. Inclusive and diverse workplace committed to equal opportunity for all. Diversity & Inclusion Databricks is dedicated to fostering a diverse and inclusive culture where all employees can thrive. We uphold equal employment opportunities without regard to age, race, gender, ethnicity, disability, religion, sexual orientation, veteran status, or any other protected characteristic.