Production Engineer 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.

Staff Software Engineer AI & Automation Location: Bengaluru Company: Okta, The World s Identity Company Experience: 8+ Years Type: Full-Time About Okta Okta is the world s leading identity platform. We empower people to securely access any technology, anywhere, on any device. With products like the Okta Platform and Auth0, we place identity at the core of business security, enabling growth through safe digital transformation. At Okta, we value diverse perspectives and experiences. We believe in learning, collaboration, and building an inclusive environment where everyone belongs. About the Team The Business Technology - Shared Services team is at the forefront of Okta s internal digital transformation. We focus on building intelligent, automated platforms that simplify operations and deliver smarter, faster experiences to both employees and customers. We collaborate across engineering, data science, security, and business units to deliver cutting-edge solutions powered by Generative AI (GenAI), virtual agents, workflow orchestration, and intelligent recommendations. The Opportunity As a Staff Software Engineer, you ll play a critical role in designing and developing AI-powered platforms that drive automation, scale, and intelligence across Okta s business. You ll help make LLM-powered solutions and intelligent automation a reality for the enterprise ensuring performance, security, and reliability at scale. This is a hands-on, individual contributor (IC) role, ideal for engineers who are passionate about solving complex problems, architecting scalable systems, and pushing the boundaries of AI integration. What You ll Do Design & Build: Develop scalable backend services that embed GenAI and automation into core business workflows (e.g., virtual agents, document intelligence, smart routing). Collaborate Across Teams: Work closely with product managers, data scientists, and other engineers from ideation to production. Architect for Scale: Make key architectural decisions around LLM integration, API design, data flow, and observability. Code with Excellence: Write clean, secure, and maintainable code in Python, Java, or similar languages. Build for Production: Use Docker, Kubernetes, and CI/CD pipelines to build and deploy high-availability services. Champion Best Practices: Promote high standards for testing, security, code reviews, and operational readiness. Mentor & Guide: Support a collaborative team culture through peer mentorship and design reviews. What You ll Bring 8+ years of experience in software engineering with a strong track record of building and maintaining production-grade, cloud-native services. Expertise in distributed systems, API development, and cloud infrastructure (AWS, GCP, or Azure). Proficiency in Python, Java, or Go. Experience with Docker, Kubernetes, and observability tools (e.g., Prometheus, Grafana, ELK). Exposure to AI/ML concepts and eagerness to work with LLMs, NLP, or automation platforms. A strong sense of ownership, collaborative mindset, and a bias toward action. Passion for learning and working with emerging technologies especially in the AI and automation space. Why Join Okta Make AI Real: Help move GenAI from experimentation to enterprise-wide impact. Build with Purpose: Work on challenges that simplify and secure Okta s internal operations. Grow in a Human-Centered Culture: Join a humble, technically driven team that values learning, excellence, and personal growth. Join Okta and shape how identity, AI, and automation come together to power the modern enterprise.

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

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)

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.

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.

Role: Senior Analyst Machine Learning Performance & Testing Location: Bengaluru, Karnataka, India Experience: 3 5 Years Employment Type: Permanent, Full-Time About the Role We are seeking a skilled and detail-oriented Senior Analyst with strong experience in ML model performance testing, load testing, and end-to-end (E2E) automation. This role is focused on ensuring scalable, low-latency deployment of production-grade machine learning models. The ideal candidate will be proficient in evaluating model performance under varied workloads, building robust test frameworks, and enhancing system monitoring. Key Responsibilities Conduct load testing and performance benchmarking for machine learning models under varying requests per second (RPS) scenarios. Develop and automate end-to-end test cases to validate model readiness and support smooth rollouts. Monitor and improve model scalability, response time, and error rates across production environments. Collaborate with ML engineers, backend developers, and QA test teams to ensure seamless integration and testing workflows. Identify and address bottlenecks in model inference, helping improve performance for high-volume, low-latency applications. Set up alerting and observability pipelines for model health using industry-standard tools. Required Skills & Tools Performance Testing & Monitoring: ML Load Testing, Job Monitoring, Model Scalability Evaluation Platforms & Tools: Databricks, MLflow, Seldon, Kubeflow, Tecton, Jenkins Cloud Services: Experience with AWS and deploying/testing models in cloud environments Programming Languages: Proficiency in at least one of the following Python, Java, Scala Experience: Working with production-level ML models, especially involving high data volumes and real-time inference Strong communication skills and ability to work in cross-functional teams Preferred Qualifications Hands-on experience with CI/CD pipelines for ML systems Knowledge of A/B testing and canary deployments for ML models Experience building testing frameworks for ML infrastructure at scale Understanding of monitoring and alerting best practices in production ML systems Be at the forefront of ML operations and model performance optimization Collaborate with industry-leading engineers and contribute to cutting-edge AI deployments Gain deep exposure to real-time data systems, cloud platforms, and enterprise-scale ML testing Competitive compensation and an innovative, fast-paced work environment

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.

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.

Staff Software Engineer Databases Location: Bengaluru, India Company: Databricks About Databricks Databricks is a leading data and AI company powering over 10,000 organizations globally, including half of the Fortune 500. Founded by the original creators of Apache Spark , Delta Lake, and MLflow, Databricks offers a unified platform for data, analytics, and AI, enabling enterprises to innovate with confidence. With its global presence and a growing Bengaluru team, Databricks is rapidly expanding. Role Overview As a Staff Software Engineer in Bengaluru, you ll work within Backend or Distributed Data Systems (DDS) teams to build scalable, reliable, and high-performance services powering Databricks data and AI platform. You will tackle challenges ranging from distributed systems and cloud storage to service architecture, workflow orchestration, and developer experience. Key Responsibilities Develop large-scale distributed backend services, including managing cloud storage backends like AWS S3 or Azure Blob Store. Build and maintain infrastructure that supports millions of cluster-hours per day. Contribute to key DDS projects such as Apache Spark , Delta Lake, and performance engineering. Design and implement high-performance, reliable, and scalable systems and client libraries. Collaborate cross-functionally to drive innovation in cloud-native data processing and storage. Qualifications BS or higher in Computer Science or related field. 10+ years of production software engineering experience in Python, Java, Scala, C++, or similar. Proven experience developing large-scale distributed systems from the ground up. Experience with SaaS platforms or Service-Oriented Architectures. Benefits & Culture Competitive benefits tailored to employees needs. Committed to fostering a diverse, inclusive, and equitable work environment. Diversity & Inclusion Statement Databricks ensures equal employment opportunities regardless of age, race, gender, ethnicity, disability, sexual orientation, veteran status, or other protected characteristics, striving for a welcoming and inclusive workplace. Qualification : BS or higher in Computer Science or related field.

Machine Learning Engineer 5 Location: Bangalore, Karnataka, India Employment Type: Full-Time About Adobe Adobe is transforming the world through digital experiences. From individual creators to global enterprises, our tools empower everyone to create stunning visuals, videos, applications, and more. We believe in fostering an inclusive and innovative workplace where ideas can come from anyone, anywhere and the next big breakthrough could be yours. The Opportunity Adobe Express enables users from beginners to professionals to design eye-catching content with ease, powered by advanced AI technologies. At the heart of this mission is the AI Foundations team, which is building modular, reusable AI systems and the Horizon AI Stack to supercharge the Adobe Express experience. As a founding member of this elite team, you will tackle strategic AI challenges and deliver scalable, high-impact solutions. What You ll Do Drive the vision and development of reusable, cloud-scale AI systems for Adobe Express. Collaborate with Adobe Research, Applied AI teams, and engineering stakeholders to align AI capabilities with product strategy. Lead all aspects of ML product development: data pipelines, model development, and quality evaluations. Recruit, mentor, and manage a high-performing team of ML engineers and data scientists. Balance cutting-edge research with business-critical deliverables prototyping new ideas, validating, and scaling them. Foster a culture of innovation, experimentation, and scientific rigor focused on solving customer problems. Ensure engineering excellence in architecture, development, and on-time delivery of AI solutions. Basic Qualifications Bachelor s, Master s, or Ph.D. in Computer Science, Machine Learning, Applied Math, Data Science, or related field. 8+ years of industry experience in machine learning, deep learning, or optimization algorithms. 3+ years of experience managing ML/AI teams in a product-focused environment. Preferred Qualifications Experience working in creative tools, design platforms, or imaging domains. Familiarity with LLMs, Diffusion Models, and generative AI techniques. Proven experience in building large-scale, production-grade ML systems. What You Need to Succeed Demonstrated success in building and managing top-tier ML teams that deliver high-quality solutions. Experience shipping widely adopted AI-driven features to large customer bases. Customer-obsessed with a strong product sense and ability to translate user needs into AI capabilities. Outstanding communication skills able to articulate technical ideas to both technical and non-technical audiences. Strong problem-solving, leadership, and strategic decision-making abilities. Work at the intersection of creativity and AI building technologies that empower millions of users globally. Collaborate with world-class researchers and engineers in a mission-driven, inclusive environment. Enjoy robust career growth, leadership opportunities, and excellent employee benefits. Adobe is proud to be an Equal Opportunity Employer. We believe diversity fuels innovation and we re committed to building an inclusive environment for all employees. Qualification : Bachelors, Masters, or Ph.D. in Computer Science, Machine Learning, Applied Math, Data Science, or related field.

What Makes Us a Great Place to Work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity, and a model of social responsibility. We are currently ranked #1 on Glassdoor's Best Places to Work list, and we have maintained a spot in the top four for the last 13 years. We believe that diversity, inclusion, and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor, and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ, and parents. Who You ll Work With Vector is Bain s integrated digital and analytics capability, bringing together Enterprise Technology and AI, Insights & Solutions (AIS) to deliver cutting-edge innovation. AIS, formed through the merger of Bain's Advanced Analytics and Innovation & Design teams, is a diverse group of experts in analytics, engineering, product management, and design. Together, we create human-centric solutions that leverage the power of data and artificial intelligence to drive competitive advantage for our clients. As part of AIS, the India-based Center of Excellence (COE) specializes in delivering Generative AI (Gen AI) and advanced engineering solutions for our clients globally. The COE will also lead the charge on building solution accelerators for our clients. What You ll Do As a Manager, AIS Software Engineering, you will lead the development and application of technical solutions to address complex problems in various industries. You will guide a diverse engineering team through the entire engineering lifecycle while collaborating with remote and distributed teams, including both technical and consulting teams across the globe. Your responsibilities will include designing, developing, optimizing, and deploying cutting-edge software engineering solutions and infrastructure at the production scale required by the world s largest companies. Collaboration: Work closely with colleagues in the AIS COE (e.g., data scientists, ML engineers, software engineers, platform engineers) to build software solutions that solve clients business problems. Technical Leadership: Serve as the overall technical leader, providing deep expertise in software engineering, distributed systems, AI, and application architecture design. Lead the development and delivery of end-to-end solutions for client cases. Development Lifecycle: Lead key parts of the software development life cycle, including architecture design, writing clean code, conducting code reviews, writing documentation, and identifying issues and resolutions. Framework Development: Collaborate on (or lead) the development of re-usable common frameworks, models, and components to address common software engineering problems across industries and business functions. Best Practices & Innovation: Drive best practices in software engineering and share learnings with team members in AIS. Promote industry-leading innovations to create significant client impact. Team Management: Contribute to creating a great working environment that attracts talented engineers. Act as a PD Advisor as needed and support recruiting and onboarding new team members. Travel Requirements: Minimum travel, based on project needs and training opportunities. About You Education & Experience: Bachelors/Master s degree in Computer Science, Engineering, or a related technical field. 8+ years of hands-on experience in web development, programming languages, version control, software design patterns, infrastructure, deployment, integration, and unit testing. 3+ years of experience managing software engineers. A proven track record of leading a team and collaborating on strategic initiatives, with experience in shipping production applications and software analytics products. Technical Expertise: Expert knowledge (5+ years) of Python. Deep experience with server-side frameworks and technologies such as FastAPI, Node.js, Flask. Familiarity with cloud platforms like AWS, Azure, or GCP. Strong understanding of software architecture, DB design, scalability, and SQL, with experience in RDBMS (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra, Elasticsearch). Experience with client-side technologies such as React, Vue.js, HTML, and CSS. Familiarity with DevSecOps principles, CI/CD tools, MLOps, LLMOps, and infrastructure as code (Jenkins, Docker, Kubernetes, Terraform). Knowledge of software security, privacy regulations, and cybersecurity. Soft Skills: Strong interpersonal and communication skills, including the ability to explain technical concepts to colleagues and clients from other disciplines. Curiosity, proactivity, and critical thinking. Ability to collaborate effectively with people at all levels and with multi-office/region teams. Ability to work independently, manage multiple priorities, and thrive in a fast-paced and ambiguous environment. About Us Bain & Company is a global consultancy that helps the world s most ambitious change makers define the future. Across 65 cities in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling today s urgent challenges in education, racial equity, social justice, economic development, and the environment. We earned a platinum rating from EcoVadis, the leading platform for environmental, social, and ethical performa...

Job Title: L2 Support Lead Cloud Native Microservices Location: Pune, India Company: Blue Yonder Experience: 5+ years Education: Bachelor s Degree in Computer Science, Engineering, or related field About Blue Yonder Blue Yonder is a leading AI-driven Global Supply Chain Solutions provider, recognized by Glassdoor as one of the Best Places to Work. We specialize in cloud-native solutions that power intelligent supply chains and optimize commerce for some of the world s biggest brands. We are seeking a highly motivated and hands-on L2 Support Lead to oversee production support for cloud-native microservices-based commerce solutions deployed on Azure and GCP. Scope of the Role You will lead and mentor an L2 support team, responsible for triaging production issues, resolving functional and technical defects, and working closely with cross-functional engineering teams. Your focus will be on delivering best-in-class support to global customers, while ensuring the team continuously enhances its technical capabilities. Key Responsibilities Lead the L2 Support team, guiding associates in technical analysis, issue triage, and defect resolution. Act as a hands-on technical mentor, helping junior and mid-level team members grow their technical and product knowledge. Perform root cause analysis for functional and technical production issues, ensuring timely resolution. Support cloud-native microservices for Commerce customers, deployed on Azure and GCP. Participate in backlog grooming, sprint planning, stand-ups, and retrospectives, contributing to team direction and prioritization. Collaborate with product engineering teams, providing feedback and improvement recommendations from a supportability perspective. Ensure the team maintains strong documentation practices for knowledge sharing and future reference. Drive a continuous improvement mindset, identifying opportunities to enhance processes, automation, and response times. Foster a customer-first culture by ensuring timely, clear communication with internal and external stakeholders. Technical Environment Languages & Frameworks: Java, Spring Boot Architecture: Microservices, Event-Driven, Multi-Tenant, Scalable, and Resilient Cloud Platforms: Azure & GCP Other Technologies: Kubernetes, Kafka, Elasticsearch, Cassandra, MongoDB, Snowflake Version Control & Deployment: GIT, Rest API, OAuth Minimum 5+ years of experience with Spring Boot and Kafka in production support or engineering roles. Proven experience leading small to mid-sized teams for technical and product support in a cloud-native environment. Strong hands-on knowledge of microservices architecture running at scale on cloud platforms like Azure, GCP, or AWS. Solid understanding of caching frameworks (e.g., Hazelcast, RabbitMQ). Experience with cloud deployment processes and monitoring solutions. Strong troubleshooting and root cause analysis skills. Excellent communication skills to engage with global stakeholders. Understanding of product implementation processes and support best practices. Good to Have Experience in working on Commerce or Retail solutions. Exposure to log aggregation and distributed tracing tools. Ability to script/automate repetitive tasks to improve operational efficiency. Be part of a global, collaborative team working on innovative supply chain and commerce solutions. Work with the latest cloud technologies in a fast-paced, agile environment. Opportunity to mentor and shape the next generation of support engineers. Thrive in a workplace that values diversity, inclusion, and continuous learning. Diversity, Inclusion, Value & Equity (DIVE) At Blue Yonder, we embrace diverse perspectives and foster an inclusive culture where every voice is valued. We encourage applicants from all backgrounds to apply and contribute to our innovative, collaborative workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Qualification : Bachelors Degree in Computer Science, Engineering, or related field

Job Title: Site Reliability Engineer (SRE) Cloud Platform & Production Pipeline Initiatives Location: Bangalore, India (Office-based role) About Couchbase: As industries race to embrace AI, traditional database solutions fall short of rising demands for versatility, performance, and affordability. Couchbase is leading the way with Capella, the developer data platform for critical applications in our AI-driven world. By uniting transactional, analytical, mobile, and AI workloads into a seamless, fully managed solution, Couchbase empowers developers and enterprises to build and scale applications with unmatched flexibility, performance, and cost-efficiency from cloud to edge. Trusted by over 30% of the Fortune 100, Couchbase is unlocking innovation, accelerating AI transformation, and redefining customer experiences. Come join our mission! Job Overview: As a Site Reliability Engineer (SRE), you will play a pivotal role in managing, optimizing, and maintaining Couchbase s cloud infrastructure for Capella, our Database as a Service (DBaaS) platform. You will be responsible for ensuring the reliability and performance of our cloud service while collaborating closely with engineering teams to improve deployment pipelines, security practices, and overall system health. You will work across cloud platforms and multiple tools to provide guidance, mentorship, and contribute to the strategic direction of cloud operations. Responsibilities: Infrastructure Management: Manage, monitor, and maintain the infrastructure for Capella to ensure reliable operations. Security & Compliance: Implement and manage cloud environments in accordance with company security guidelines, including vulnerability management, penetration testing, and compliance requirements (SOC 2, PCI-DSS, GDPR, HIPAA, etc.). CI/CD & Release Pipeline: Collaborate with engineering teams to optimize CI/CD processes, aiming for a highly resilient deployment strategy, ideally with zero downtime. Cloud Optimization: Stay up-to-date with new technologies and industry trends to continuously improve cloud platform architecture and meet the evolving needs of the business. Security Integration: Work with development teams to integrate security scanners within the DevOps lifecycle, enhancing security posture. Leadership & Mentorship: Provide guidance on architecture, code reviews, and technical feedback to improve service reliability, security, cost, and performance. Incident Management: Demonstrate exceptional problem-solving skills, proactively identifying and addressing potential issues before they affect business operations. Collaboration: Partner with development teams, application owners, and stakeholders to integrate best practices and ensure seamless service delivery. Requirements: Experience: 5+ years in Site Reliability Engineering (SRE), DevSecOps, or similar roles, with significant experience working in public cloud environments. Programming & Scripting: Proficiency in languages such as Go, Python, Java, or Ruby. Linux Expertise: High proficiency with Linux operating systems. Kubernetes Management: Experience in managing and maintaining Kubernetes clusters (both self-managed and managed platforms like AWS EKS). Security & Vulnerability Management: In-depth knowledge of security tools and practices (vulnerability management, pen testing, SCA, DAST, SAST), with hands-on experience using tools like Sysdig, Synk, and Blackduck. Cloud Platforms & Tools: Strong experience with cloud platforms (AWS, GCP, Azure) and open-source tools like Artifactory, Jira, Jenkins, Grafana, Prometheus, Datadog, Thanos, etc. Configuration Management: Proficiency with Terraform, Git, and CI/CD platforms (e.g., CircleCI, GitHub, Spinnaker). Networking Security: Solid understanding of TCP/IP, DNS, HTTP, Firewalls, VPNs, and other networking security concepts. Preferred Skills: Availability & Reliability: Knowledge of SLO/SLA, availability, reliability, and performance concepts. Incident Management: Experience with on-call rotations and incident management. Database Experience: Familiarity with databases, particularly Couchbase. Security Certifications: Relevant certifications in security or cloud technologies are a plus. Couchbase reimagines database technology to deliver a fast, flexible, and affordable cloud database platform, empowering developers to build applications with exceptional customer experiences. Trusted by over 30% of the Fortune 100, Couchbase drives innovation and customer success through its Capella platform. Benefits at Couchbase: Generous Time Off Program: Flexibility to care for yourself and your family. Wellness Benefits: Access to world-class medical plans, dental, vision, life insurance, and employee assistance programs. Financial Planning: RSU equity program, ESPP, retirement planning, and business travel insurance. Career Growth: Focused on your career development and success. Fun Perks: Ergonomic and comfortable office setup, food & snacks for in-office employees, and more!

About the Job Join us as a Generative AI Engineer, where you ll design and develop cutting-edge AI-powered solutions that redefine creativity and innovation. Your work will push the boundaries of what s possible in content generation, from text and images to audio and beyond. In this job, you will: Research & Development: Stay up-to-date with the latest advancements in generative AI and deep learning. Contribute to the development of novel models, exploring innovative algorithms and methodologies. Model Architecture: Design custom generative models using neural network architectures like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and others tailored for specific applications. Data Processing: Prepare and preprocess large-scale datasets for model training. Apply techniques like data augmentation, normalization, and transformation to improve performance. Training & Optimization: Train generative models using frameworks like TensorFlow and PyTorch, optimizing for efficiency, speed, and quality. Hyperparameter Tuning: Fine-tune models for optimal performance, balancing convergence speed, stability, and output diversity. Evaluation Metrics: Develop metrics to assess the quality, diversity, and novelty of generated content. Continuously iterate and improve models based on these metrics. Deployment: Work with software engineers to integrate generative models into production systems, ensuring scalability, reliability, and performance. Collaboration: Partner with data scientists, machine learning engineers, designers, and product managers to translate business requirements into generative AI solutions. Documentation: Document research, experiments, and codebase thoroughly for internal use and external stakeholders. Continuous Learning: Stay informed on emerging technologies, attend industry events, and contribute to ongoing innovation. Qualifications Bachelor s, Master s, or Ph.D. in Computer Science, Engineering, or related fields. Strong foundation in machine learning, deep learning, and neural networks. Proficiency in Python and relevant AI libraries (e.g., TensorFlow, PyTorch). Hands-on experience with generative models like GANs, VAEs, and their practical applications. Solid understanding of data preprocessing, feature extraction, and model evaluation. Experience training and optimizing neural networks on large-scale datasets. Familiarity with cloud computing and distributed systems (AWS, Azure, GCP) is a plus. Strong problem-solving skills and a creative mindset. Excellent communication and teamwork abilities. A portfolio of generative AI projects or publications is a strong advantage. About Gramener We create software that tells data stories. For example: We advised a global computer manufacturer to focus on order delivery time, increasing NPS by 18% and generating incremental revenue of >$50M. We helped a foundation predict mosquito release points, reducing the process time from 3 weeks to 2 hours in their mission to protect 100M lives from malaria over 5 years. We re good at what we do, which is why we re growing 40% year-over-year. We re looking for passionate innovators to help us scale further. First-hand experience with C-suite-focused business advisory in data & analytics. Opportunities to collaborate with data science experts, domain champions, and client teams, being part of transformative change. A chance to experiment, take risks, and solve meaningful problems. Supportive colleagues and a dynamic environment you ll love working in. Key Metrics for Success Solution quality and business value delivered to clients. Successful project deliveries. Customer satisfaction on engagements. Qualification : Bachelors, Masters, or Ph.D. in Computer Science, Engineering, or related fields.