AI Innovation Engineer Jobs in Bengaluru

Solution Engineer Experience: 3 5 Years Location: Mumbai About VuNet VuNet is a trailblazer in Business Journey Observability, leveraging Big Data and Machine Learning to transform digital experiences in the financial services sector. Our platform provides end-to-end visibility into customer journeys, driving proactive issue resolution, operational resilience, and enhanced user satisfaction. With over 28 billion digital transactions monitored monthly, we re already empowering leading banks and financial institutions to improve their digital operations, touching over 300 million users globally. VuNet is Series B funded, part of NASSCOM DeepTech Club, and recognized in Forbes DGEMS 200 and by global analysts such as Gartner and Omdia. Your Role: Solution Engineer We are looking for a Solution Engineer who will serve as a trusted advisor for our customers, understanding their business needs and translating them into actionable solutions using our VuSmartMaps platform. You will collaborate closely with customers to optimize their business processes, IT landscape, and overall customer experience by leveraging advanced observability and analytics capabilities. As a Solution Engineer, you ll work across a diverse range of technologies, from applications and networks to databases and business domains. You ll be instrumental in ensuring that our solutions deliver measurable value, maximize ROI, and help customers gain deeper insights into their infrastructure and application performance. Roles & Responsibilities End-to-End Solution Design: Work across a broad range of infrastructure domains network, compute, storage, databases, applications, transactions, and business domains to design integrated observability solutions tailored to customer needs. Leverage Big Data & AI: Use the Big Data and AI-driven features of VuSmartMaps to provide insights into application performance, enhancing business outcomes and end-user experiences. Customer Collaboration: Engage with customer teams and stakeholders to understand their pain points, gather requirements, and design custom solutions and integrations. Solution Architecture & Validation: Develop detailed design documents for solutions and collaborate with internal engineering teams to validate and refine designs. Identify Critical Metrics: Analyze customer application architectures and transaction workflows to identify key touchpoints, critical metrics, and monitoring requirements. Business Insights & Recommendations: Use analytics to provide actionable insights and business recommendations, helping customers improve system performance and optimize workflows. Platform Implementation: Oversee the planning and execution of platform implementation at customer sites, ensuring smooth and successful deployment. Product Development Feedback: Work with the product team to develop new features, identify bugs, and address solution gaps based on customer feedback and your findings. Continuous Learning: Keep up to date with emerging technologies such as Big Data, NoSQL databases, Elastic Search, MongoDB, and DevOps practices, and apply these learnings to enhance our offerings. What You Bring Experience: At least 3+ years of experience in IT infrastructure, observability, or APM (Application Performance Monitoring). Infrastructure Expertise: Hands-on experience working with large-scale IT infrastructures, including applications, databases, networks, and transactions. Monitoring & Automation Tools: Experience with monitoring tools, automation platforms, and an understanding of observability principles. Scripting Skills: Proficiency in scripting (Python, Bash, or similar languages). Technology Familiarity: Knowledge or experience in technologies like Elastic Search, MongoDB, Big Data, SQL databases, ELK stack, REST APIs, JMX, and related observability tools. Good to Have Certification: CKA (Certified Kubernetes Administrator) certification is a plus. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India. As part of our team, you ll tackle some of the most exciting and complex challenges in the tech world, all while staying ahead of the curve with emerging technologies like Gen AI. Collaboration & Innovation: We re a team of passionate problem-solvers who thrive on collaboration, learning, and innovation. We embrace a high-trust, transparent workplace culture where you can take ownership, grow, and make a meaningful impact. Growth & Development: If you re excited to work with cutting-edge technology, drive real-world impact, and grow in your career, VuNet is the place for you. Benefits for You Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A learning culture that promotes growth, innovation, and ownership. Transparent and inclusive workplace culture that values high trust. Access to Gen AI and integrated technology workspaces. Career development programs to enhance your skills through continuous training and support.

Java Developer Software Engineer Experience: 3 6 years Location: Bengaluru Department: Product Development Join VuNet Build the Future of Digital Observability VuNet is pioneering a new category in Business Journey Observability, combining Big Data and Machine Learning to transform digital experiences in financial services. We monitor over 28 billion transactions monthly, supporting 300+ million users across major banks and financial institutions (e.g., UPI, real-time payment systems). VuNet is Series B funded, part of NASSCOM DeepTech Club, and recognized by Forbes, Gartner, and others for its innovation in AI and observability. About the Role We are looking for a Java Developer to join our Product Development Team, focused on building lightweight, high-performance Java agents that collect observability data from real-world production systems. Your work will directly contribute to improving digital journeys for millions of users. If you thrive in a fast-paced environment, enjoy solving complex problems, and want to be part of a cutting-edge platform built in India for the world this is your opportunity. Your Responsibilities Design and develop scalable Java-based agents to collect data from JVMs and other systems in production environments. Integrate with various systems using protocols like TCP, HTTP, and REST APIs. Maintain and enhance existing agents: debug, analyze root causes, and collaborate with customer-facing teams for fixes. Ensure clean, efficient code through unit testing, design documentation, coding standards, and peer reviews. Take full ownership of the development lifecycle from requirement analysis to production deployment. Collaborate with Product, Platform, and Support teams to build robust, real-world-ready solutions. Contribute to broader Java development efforts (e.g., platform modules, service components, custom adapters) as needed. What You Bring Must-Have Skills 3 6 years of hands-on Java development experience. Strong understanding of multithreading, file handling, and socket programming. Experience working with Java Management Extensions (JMX). Proficiency in consuming REST APIs with Java. Strong debugging skills and ability to resolve complex production issues. Excellent communication and documentation skills. Self-motivated, detail-oriented, and collaborative mindset. A growth-driven mindset with curiosity to learn new technologies and domains. Nice-to-Have Skills Experience with Java application servers like Tomcat, JBoss, or Jetty. Familiarity with Apache Kafka and event-driven architectures. Exposure to distributed systems or big data tools: Spark, Redis, Cassandra, Hadoop, MySQL. Life at VuNet We re not just building technology we re building the future of digital experiences. At VuNet, you ll be part of a collaborative, innovation-driven team where curiosity, ownership, and continuous learning are core to our culture. Whether you re exploring Generative AI, solving high-scale data challenges, or working alongside some of the sharpest minds in deep tech VuNet is where you can grow, build, and make a real-world impact. Your Benefits Health insurance for you, your dependents, and parents. Mental wellness support with 1:1 counseling. Transparent and inclusive workplace culture. Access to emerging tech (including Gen AI) and cutting-edge tools. Career development and technical learning programs. Opportunity to shape a globally recognized, Made-in-India deep tech product.

Position: Senior AI Solutions Engineer Location: Bangalore, India Shift: 2:00 PM 11:00 PM IST (EMEA/US support hours) About Workato Workato is the market leader in enterprise orchestration, enabling 400,000+ global customers to streamline operations by connecting data, apps, and processes. Powered by AI, its platform drives agility through intelligent automation. Recognized by Forbes, Deloitte, and Business Insider, Workato offers a dynamic and collaborative culture that blends innovation with work-life balance. Role Overview As a Senior AI Solutions Engineer, you'll play a key role in building and deploying intelligent, agent-based systems and Retrieval-Augmented Generation (RAG) solutions using Workato s Agentic AI platform. This is a highly technical, hands-on role that blends AI/ML expertise, integration design, customer engagement, and scalable solution delivery. Key Responsibilities AI Engineering & Solution Architecture Design and deploy multi-agent AI workflows that are autonomous, adaptive, and goal-directed. Develop robust RAG pipelines using LLMs and Workato connectors to generate grounded, real-time responses. Implement intelligent memory, prompting, and behavior management strategies for AI agents. Technical Leadership Act as the technical expert for AI-driven architectures using Workato s automation and orchestration platform. Architect scalable AI-powered workflows integrating Workday, NetSuite, Salesforce, ServiceNow, etc. Own performance monitoring, troubleshooting, and continuous optimization of AI systems. Customer Collaboration Work directly with customers to design and deliver tailored Agentic AI and RAG solutions. Communicate complex AI concepts clearly to business and technical stakeholders. Champion exceptional customer service and solution success. Cross-Functional Collaboration Support product managers with technical specifications and solution design. Contribute to internal knowledge bases, best practices, and thought leadership. Participate in product ideation, rapid prototyping, and iterative improvement. Required Qualifications Technical Skills BTech/BE in CS, AI/ML, or related field. 8+ years in solution architecture and development; 3+ years on Workato platform required. Solid foundation in AI agent systems, RAG, and large language models (LLMs). Strong experience with APIs (REST, SOAP), JSON, and relational or NoSQL databases. Programming experience: Java, Python, or Ruby (2 3 years). Hands-on integration experience with middleware, iPaaS, BPM, or RPA platforms. Familiarity with automation tools like Dell Boomi, MuleSoft, or TIBCO is a plus. Bonus Knowledge Familiarity with OAuth, SSO, MFA, and cloud platforms (AWS/GCP/Azure). Experience with enterprise SaaS apps (e.g., Salesforce, Workday, ServiceNow, NetSuite). Exposure to event-driven architecture and microservices. Soft Skills & Mindset Strong communication and storytelling skills. Critical thinker with an entrepreneurial mindset. Self-starter with the ability to work independently and across teams. Passionate about solving complex technical problems and delivering value.

Position Title: Lead AI/ML Engineer Location: Bengaluru Bellandur (GTP) Employment Type: Full-time Job Summary Synechron is seeking a seasoned Lead AI/ML Engineer to lead cutting-edge initiatives in artificial intelligence and machine learning. This role requires deep technical expertise in AI/ML, including deep learning, NLP, computer vision, and generative AI, combined with strong leadership skills to manage teams and drive innovation. You will collaborate closely with stakeholders to deliver high-impact solutions and play a key role in shaping the company s AI-driven digital transformation. Key Responsibilities Lead end-to-end development of AI/ML solutions across use cases involving machine learning, deep learning, computer vision, NLP, and generative AI. Design and implement scalable models and algorithms, ensuring performance, accuracy, and interpretability. Collaborate with product owners, engineers, and business stakeholders to align AI/ML initiatives with strategic objectives. Mentor and guide data scientists and ML engineers to elevate technical quality and delivery standards. Continuously evaluate emerging AI technologies, frameworks, and methodologies to enhance team capabilities. Contribute to innovation strategy by identifying new business opportunities driven by AI/ML. Ensure data and model governance, ethical AI practices, and responsible deployment of AI solutions. Required Skills & Tools Core Competencies: Strong hands-on experience in machine learning, deep learning, NLP, computer vision, and generative AI. Expertise in Python (primary), with additional knowledge of R, SQL, Java, or C++. Deep understanding of statistics, linear algebra, probability, and algorithm design. Frameworks & Tools: TensorFlow, PyTorch, Keras, OpenCV, Hugging Face, spaCy, Scikit-learn, etc. Data processing tools like Pandas, NumPy, and Spark. Version control and CI/CD tools (e.g., Git, MLflow, Docker, Airflow). Methodologies: Proficient in Agile development and model lifecycle management. Experience with productionizing AI models and deploying them on cloud platforms (AWS, Azure, GCP). Experience 8 12 years of experience in AI/ML, Data Science, or related domains. Minimum 8+ years in a leadership or technical lead role driving successful AI/ML initiatives. Proven record of delivering high-impact AI/ML projects at scale. Experience mentoring and managing AI/ML teams in collaborative, cross-functional environments. Day-to-Day Activities Direct and oversee AI/ML model development, validation, deployment, and monitoring. Review project designs, provide technical oversight, and conduct code/model reviews. Drive research and experimentation to apply novel AI methods to solve real-world problems. Support proposal development and client engagements with AI/ML subject matter expertise. Foster a culture of continuous learning, innovation, and data-driven thinking. Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Relevant certifications (e.g., TensorFlow, AWS Machine Learning, Azure AI Engineer) are a plus. Soft Skills Strong leadership, team management, and mentoring capabilities. Excellent communication and stakeholder engagement skills. Strategic thinking with a passion for innovation and emerging technologies. Ability to thrive in a dynamic, fast-paced environment and lead through ambiguity. Diversity & Inclusion at Synechron Synechron is committed to a diverse and inclusive workplace. Through our Same Difference DEI initiative, we celebrate unique backgrounds and perspectives while fostering a respectful, empowering environment. We welcome applications from candidates of all identities and provide support through mentoring, internal mobility, and flexible work arrangements. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

AI-ML Architect Bangalore, India Location: Bangalore Experience: 10 to 15 Years Role: AI-ML Architect Industry: IT Software / Artificial Intelligence & Machine Learning Job Overview: We are seeking a highly experienced AI-ML Architect to lead the design and implementation of advanced AI and Machine Learning systems. The ideal candidate will have extensive expertise in deep learning frameworks, system-level optimization, and scalable infrastructure, driving innovation in AI across cloud and distributed environments. Key Responsibilities: Architect, develop, and optimize deep learning and neural network applications on Windows and Linux platforms Build, train, and fine-tune advanced AI/ML models using frameworks such as PyTorch, TensorFlow, and Caffe Optimize neural network performance at the kernel level for scalability across diverse hardware architectures Lead development and deployment of AI models using techniques like Reinforcement Learning, Transfer Learning, and Federated Learning Design and develop web services and REST APIs with strong proficiency in Python and C/C++ Automate AI/ML model deployment, management, and scaling using Docker, Kubernetes, and MLOps best practices Work with hardware acceleration technologies such as OpenVINO, OneAPI DPC++, OpenCL, and CUDA to enhance performance Design and implement microservices-based AI infrastructure supporting distributed cloud environments Collaborate with cross-functional teams to integrate AI solutions with enterprise cloud architectures Required Skills & Experience: 10+ years of experience in system software development on Windows or Linux Proven expertise with deep learning frameworks: PyTorch, TensorFlow, Caffe Strong background in Reinforcement Learning, Transfer Learning, and Federated Learning Proficient in Python and C/C++ programming Hands-on experience with RESTful API development Experience automating deployments using Docker, Kubernetes, and MLOps tools Knowledge of GPU and accelerator programming: OpenVINO, CUDA, OpenCL preferred Strong understanding of cloud and distributed computing infrastructures Experience adopting microservices architecture for scalable AI platforms Preferred Qualifications: Advanced degree in Computer Science, AI, Machine Learning, or related fields Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Experience in leading AI teams and mentoring architects and engineers Lead AI innovation on cutting-edge projects with global impact Collaborate in a high-growth, fast-paced environment fostering continuous learning Work with advanced AI infrastructure and state-of-the-art hardware acceleration technologies Opportunity to shape AI architecture and influence strategic technology decisions Qualification : Advanced degree in Computer Science, AI, Machine Learning, or related fields

Senior Frontend Engineer Atlas AI Location: Bengaluru (Rathi Legacy, Rohan Tech Park, Hoodi) Team: Product Engineering Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader innovating with AI and data to solve industrial challenges. Our products like Cognite Atlas AI and Cognite Data Fusion (CDF) enable transformational digitalization for Oil & Gas, Chemicals, Pharma, Manufacturing, and Energy sectors. Award-winning and recognized globally, we are shaping the future of industrial operations. About Atlas AI Atlas AI aims to revolutionize manufacturing and energy operations by building an advanced framework of industrial AI agents. This initiative leverages Cognite Data Fusion s industrial data expertise and targets collaboration with industry leaders and strategic partners to drive impactful AI innovation. Your Role Join our co-innovation team as a Senior Frontend Engineer focused on building next-gen AI-driven industrial agent applications. Architect and develop modern, responsive web applications with React and TypeScript. Build full-stack generative AI solutions, focusing on AI agents and multi-agent systems powered by large language models integrated via Cognite Data Fusion. Collaborate with architects, data engineers, and domain experts to create scalable AI agent solutions. Implement software development best practices including Git workflows, CI/CD, and robust testing. Work directly with customers and stakeholders to co-innovate and align solutions with real business needs. Contribute to product strategy and technical decision-making. Your Experience & Skills 5+ years in product software engineering, ideally with a focus on Generative AI/ML applications. Strong frontend skills: React, TypeScript, JavaScript; full-stack experience including Python. Experience with multi-agent systems development, preferably using frameworks like LangChain. Knowledge of knowledge graphs and related tech (GraphQL, Neo4j). Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes). Experience with REST APIs, debugging tools, and software lifecycle best practices. Comfortable working with data formats (CSV, JSON, SQL) and databases like SQLite or SQL databases. Strong problem-solving, communication, and collaboration skills. Work in a vibrant, inclusive environment with 70+ nationalities and a strong DEI focus. Hybrid work mode from a modern office in Bengaluru with a culture that fosters impact and ownership. Direct access to decision-makers with minimal bureaucracy. Collaborate with top-tier talent on ambitious AI and industrial digital transformation projects. Engage actively in the Cognite community through HUB events and partnerships. Make an Impact Join Cognite to drive the future of industrial AI, creating innovative tools that empower industries worldwide. We welcome diverse candidates passionate about AI and frontend engineering.

Senior Backend Engineer Innovation Team Location: Bengaluru (Rathi Legacy, Rohan Tech Park, Hoodi) Team: Global Strategic Services Industry Innovation and Solutions Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader using AI and data to transform industries such as Oil & Gas, Chemicals, Pharma, and Manufacturing. Our award-winning platforms include Cognite Data Fusion and Cognite Atlas AI, driving industrial digital transformation worldwide. The Team & Role You ll join Cognite s Innovation Team working on batch processing applications for a key American emulsions industry client. This role focuses on backend development and data engineering to deliver scalable, robust solutions handling complex data workflows with multidisciplinary teams and global stakeholders. Key Responsibilities Architect and develop backend systems for complex batch data processing workflows with a focus on reliability amid inconsistent/incomplete data. Build resilient workflows handling multi-source data and minimizing system impact from component failures. Develop and optimize data models for domain-specific industrial problems. Create data transformation functions to extract actionable insights from raw data. Manage scalable distributed systems and ensure operational reliability. Collaborate cross-functionally to refine requirements and deliver solutions. Work with large datasets using SQL and NoSQL technologies. Troubleshoot full application lifecycle issues, from dev to production. Stay current on tech trends to innovate team practices. Strong backend development experience, distributed systems, and complex domain modeling. Proficiency in Python, SQL, and NoSQL databases. Experience with cloud-based architectures, automated testing, version control, CI/CD pipelines. Problem-solving skills, especially when data or context is incomplete. Self-driven, taking ownership from concept to deployment. Collaborative and excellent communicator, comfortable engaging global stakeholders. Bonus: knowledge of Data Science and Machine Learning. Diverse global team of 70+ nationalities with strong DEI focus. Modern Bengaluru office with hybrid work flexibility. Flat structure with direct leader access, minimal bureaucracy. Work on ambitious, impactful projects with leading tech experts. Active community engagement with partners and customers. Excited to build next-gen industrial data solutions with Cognite? Apply today and make an impact in a fast-growing, innovative SaaS company!

Sr. Software Engineer, Search Relevance (Applied AI) Location: Bengaluru, India Company: Databricks Role Overview Join Databricks Applied AI team to develop and improve ML-powered search relevance systems. You will work on enhancing search ranking, query understanding, and building evaluation frameworks to enable scalable, seamless search experiences across millions of data assets on the platform. Key Responsibilities Develop and deploy ML/NLP-based relevance models integrated with Databricks products. Design automated pipelines for data preprocessing, query understanding, ranking, retrieval, and model evaluation. Collaborate with product managers and cross-functional teams to innovate in search and discovery features. Build robust frameworks for offline and online evaluation of search ranking improvements. BS or higher (MS/PhD preferred) in Computer Science or related fields. 6+ years of experience developing large-scale search relevance systems or impactful research. Experience applying Large Language Models (LLMs) to search relevance. Expertise in one or more of: query understanding, NLP, text mining, recommendations, personalization, discovery, conversational AI. Strong computer science fundamentals. Contributions to popular open-source projects a plus. Work with cutting-edge AI models and a world-class team to shape the future of AI-driven data products. Databricks powers data intelligence for thousands of organizations globally and fosters an environment of innovation and collaboration. Qualification : BS or higher (MS/PhD preferred) in Computer Science or related fields.

Backend Engineer - RAG & ML Specialization Location: Bengaluru, Karnataka, India (On-Site) Department: Engineering Employment Type: Full-Time About Sarvam.ai Sarvam.ai is a cutting-edge generative AI startup based in Bengaluru, India, on a mission to make AI accessible and impactful for Bharat. We develop high-performance, cost-effective AI agents tailored to the Indian market, empowering enterprises to unlock new opportunities and create meaningful customer connections. Join us as we reshape AI for India and beyond. Role Overview As a Backend Engineer specializing in RAG (Retrieval-Augmented Generation) systems and Machine Learning (ML) applications, you'll be building scalable backend systems that power AI-driven services. Your work will be critical in developing high-performance platforms for voice and generative AI applications, ensuring secure, scalable, and seamless AI model deployments. Key Responsibilities Backend Development: Design, develop, and maintain scalable, efficient backend applications and RESTful APIs using Python and FastAPI. RAG System Implementation: Build and optimize Retrieval-Augmented Generation (RAG) systems for AI applications, focusing on enhancing AI-driven search and retrieval capabilities. Data Pipeline Management: Develop and manage data pipelines and workflows for integrating AI and ML models into production systems. Code Quality: Ensure adherence to coding best practices, including writing modular code, implementing unit tests, and conducting code reviews. Cross-functional Collaboration: Work closely with AI/ML engineers, data scientists, and other teams to integrate machine learning models into backend systems. Database Optimization: Optimize database queries and efficiently manage both structured and unstructured data. CI/CD Practices: Continuously integrate and deploy code, using version control systems like Git and CI/CD pipelines. System Architecture: Contribute to architectural discussions and improvements, focusing on scalability and performance optimization. Must-Have Skills & Qualifications Educational Background: Bachelor's degree in Computer Science, Engineering, or a related technical field. Programming Skills: Strong proficiency in Python, with a solid understanding of programming fundamentals. Web Frameworks: Experience building backend services using FastAPI, Flask, or Django. Database Knowledge: Familiarity with SQL operations and NoSQL databases for efficient data management. AI & ML Exposure: Hands-on experience with Machine Learning and Deep Learning techniques, and understanding of AI model deployment in production environments. RAG Systems Experience: Prior exposure to Retrieval-Augmented Generation (RAG) architectures, with experience building AI-driven search systems. Version Control: Proficiency with Git and understanding of version control workflows. Problem Solving: Strong analytical and debugging skills to address complex technical challenges. Soft Skills: Excellent communication, collaboration, and problem-solving abilities. Good to Have (Preferred Experience) Backend Projects: Demonstrated experience working on backend applications using Python frameworks (FastAPI, Flask, Django) through academic or personal projects. Cloud Knowledge: Basic understanding of cloud platforms and services such as AWS, GCP, or Azure. DevOps & Containers: Exposure to Linux/Unix environments and containerization concepts (Docker, Kubernetes). CI/CD: Experience setting up CI/CD pipelines for automated testing and deployment. Open Source Contributions: Contributions to open-source projects or a strong GitHub profile showcasing backend development expertise. Impactful Work: Work on groundbreaking generative AI applications that are transforming the future of technology in India. Collaborative Environment: Join a high-performing team of AI experts and engineers, driving innovation and delivering real-world solutions. Growth Opportunities: Be a key player in a fast-growing AI startup, with the opportunity to grow alongside the company. Cutting-edge Technologies: Leverage the latest in AI, Machine Learning, and Cloud Technologies to build state-of-the-art systems. Qualification : Bachelor's degree in Computer Science, Engineering, or a related technical field.

Frontend Engineer Location: Bengaluru, Karnataka, India (On-Site) Department: Engineering Employment Type: Full-Time About Sarvam.ai Sarvam.ai is a cutting-edge generative AI startup based in Bengaluru, India, dedicated to making AI accessible and impactful for Bharat. We specialize in developing high-performance, cost-effective AI agents tailored to meet the needs of the Indian market, helping enterprises unlock new opportunities and build deeper customer connections. Join us and help shape the future of AI for India and beyond. Role Overview We are looking for a Frontend Engineer skilled in ReactJS and TypeScript to join our growing team. You will play a pivotal role in developing and optimizing dynamic, user-friendly web applications that power AI-driven products. Collaborating with backend engineers, designers, and AI/ML teams, you will create intuitive and scalable user interfaces that deliver exceptional user experiences. Key Responsibilities Frontend Development: Design, build, and maintain scalable web applications using ReactJS and TypeScript. Reusable Components: Build and integrate reusable UI components and frontend libraries to streamline development. API Integration: Work closely with backend engineers to efficiently consume and integrate RESTful APIs into the application. Performance Optimization: Ensure application performance, responsiveness, and cross-browser compatibility. UI/UX Best Practices: Implement best practices for UI/UX, accessibility, and responsive design to enhance the user experience. Code Quality: Maintain high-quality code through unit testing, code reviews, and adherence to coding standards. Collaboration: Partner with designers and product teams to create seamless, user-centered interfaces. Continuous Improvement: Drive continuous improvements in frontend architecture, performance, and maintainability. Must-Have Skills & Qualifications Educational Background: Bachelor's degree in Computer Science, Engineering, or a related field (2024/2025 graduates). Frontend Development: Strong proficiency in ReactJS and TypeScript. State Management: Experience with React Query, Redux, or Context API for state management. API Integration: Hands-on experience with RESTful APIs, ensuring seamless integration into frontend applications. UI/UX Best Practices: Deep understanding of responsive design, performance optimization, and accessibility in web applications. Version Control: Familiarity with Git and version control workflows for collaborative development. Problem Solving: Strong analytical, debugging, and problem-solving skills. Soft Skills: Excellent communication, teamwork, and problem-solving abilities. Good to Have (Preferred Experience) Next.js or React Frameworks: Experience with Next.js or other React frameworks for building server-side rendered applications. Component Libraries: Familiarity with component libraries like Material-UI, TailwindCSS, or Chakra UI for faster development. Cloud Exposure: Exposure to cloud platforms (AWS, GCP, or Azure) or containerization tools like Docker and Kubernetes. CI/CD Experience: Knowledge of CI/CD pipelines for automating testing and deployment of frontend applications. Open Source Contributions: Contributions to open-source projects or a strong GitHub portfolio showcasing your frontend work. Impactful Work: Contribute to building generative AI applications that are shaping the future of technology in India. Innovative Team: Work alongside a talented team of AI experts, engineers, and designers who are driving cutting-edge innovations. Growth Opportunities: Be a key player in a fast-growing AI startup, with ample opportunities for personal and professional growth. Cutting-edge Technologies: Work with the latest in AI, machine learning, and cloud technologies to create impactful products. Qualification : Bachelor's degree in Computer Science, Engineering, or a related field (2024/2025 graduates).

Gen AI Engineer - L1 | Bengaluru, India About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global IT consulting and services company with over 230,000 employees across 65 countries. We offer innovative solutions in consulting, engineering, and operations to solve complex digital transformation challenges. Role Overview We are looking for an experienced Gen AI Engineer - L1 with deep expertise in Generative AI, LLMs, RAG pipelines, and Python-based machine learning frameworks. The role will focus on developing secure, scalable AI systems using modern tools and cloud platforms. Key Responsibilities Design, implement, and optimize generative AI models using LangChain, LLaMA, Hugging Face, etc. Develop RAG pipelines and integrate with LLMs for advanced AI solutions. Create, test, and optimize prompt templates across different base models. Implement guardrails for prompt security to prevent prompt injection, jailbreaks, and leaks. Build efficient backend applications using Python, Django, and related tools. Work with vector databases to enhance generative AI workflows. Collaborate on data grooming and model training across business units. Benchmark model performance and develop auto-prompting systems. Ensure adherence to minimum design standards in prompt engineering use cases. Mandatory Skills Gen AI, LLMs, RAG Pipelines LangChain, LLaMA, Hugging Face Python, TensorFlow, PyTorch, Django NLP, Machine Learning, Deep Learning Vector Database integration Preferred Skills Azure or AWS Cloud Platforms MLOps, Kubernetes GitHub, Bitbucket Experience with GPT-4 Domain exposure in Banking or Financial Services Join Wipro to be part of a company that thrives on innovation, reinvention, and digital excellence. Work on impactful GenAI projects, grow your career, and contribute to shaping the future of AI in real-world applications. We welcome applications from individuals with disabilities.

Gen AI AWS Engineer | Bengaluru, India Experience: 8 10 Years Mandatory Skills: AWS, Generative AI About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global leader in consulting and technology services with over 230,000 employees across 65 countries. We provide digital transformation solutions that are innovative, sustainable, and scalable. Role Overview We are hiring a highly skilled Gen AI AWS Engineer to lead the architecture, development, and delivery of AI-driven cloud solutions. This role focuses on leveraging AWS infrastructure and Generative AI technologies to solve complex business problems at scale. Key Responsibilities Architecture and Solution Design Design and implement scalable AI/ML solutions using AWS and GenAI frameworks. Lead solution design for enterprise initiatives and RFPs. Develop architectural documentation and reusable design patterns. Evaluate current architectures and recommend improvements and modernization plans. Delivery Enablement Provide frameworks and technical direction to development teams. Monitor project risks and propose mitigation strategies. Ensure alignment with architecture principles and best practices. Client Engagement Participate in pre-sales activities and client presentations. Build trusted relationships with clients by demonstrating technical thought leadership. Coordinate with stakeholders to ensure successful delivery of AI solutions. Innovation & Competency Building Create PoCs, whitepapers, and solution demos in GenAI and AWS domains. Represent Wipro s capabilities at industry events and internal forums. Mentor junior architects and contribute to internal upskilling initiatives. Team Management Recruit, train, and retain high-performing AI/ML engineers. Conduct performance reviews and set goals for team members. Drive employee engagement and diversity across the architecture team. Be part of a company that thrives on innovation, reinvention, and purpose. Work with cutting-edge Generative AI solutions and lead impactful transformations for global clients. Applications from individuals with disabilities are explicitly welcome.

Engineer, Principal/Manager - Machine Learning, AI Location: Bangalore, Karnataka, India Company: Qualcomm India Private Limited General Summary Qualcomm is seeking an experienced and visionary Principal AI/ML Engineer to lead research, development, and optimization of AI inference systems. This role involves developing high-performance AI models, optimizing deployments across various hardware platforms, and contributing to research in model compression, quantization, and hardware-aware optimization. Education & Experience PhD with 6+ years, Master's with 7+ years, or Bachelor's with 8+ years in Engineering, CS, or related field. 20+ years of experience in AI/ML development; 5+ years in inference optimization and debugging. Key Responsibilities Model Optimization & Quantization Optimize models using quantization (INT8, INT4, mixed precision), pruning, and knowledge distillation. Implement PTQ and QAT techniques for deployment. Experience with TensorRT, ONNX Runtime, OpenVINO, TVM. AI Hardware Acceleration & Deployment Target platforms: Hexagon DSP, CUDA GPUs, TPUs, NPUs, FPGAs, Habana Gaudi, Apple Neural Engine. Use Python APIs: cuDNN, XLA, MLIR for hardware acceleration. Benchmark and debug performance across platforms. AI Research & Innovation Research on efficient AI inference: model compression, low-bit precision, sparse computing. Explore architectures like Sparse Transformers, Mixture of Experts, Flash Attention. Publish in ML conferences: NeurIPS, ICML, CVPR; contribute to open-source projects. Technical Expertise Optimization of LLMs, LMMs, LVMs for inference. Deep Learning frameworks: TensorFlow, PyTorch, JAX, ONNX. Expert in CUDA, cuPy, Numba, TensorRT, ONNX Runtime, OpenVINO. Skilled in Python for scalable AI development. Experience with ML runtime delegates: TFLite, ONNX, Qualcomm AI Stack. Debugging: Netron, TensorBoard, PyTorch Profiler, Nsight, perf, Py-Spy. Cloud inference: AWS Inferentia, Azure ML, GCP AI Platform, Habana Gaudi. Hardware-aware optimization: oneDNN, ROCm, MLIR, SparseML. Contributions to open-source and research publications are a strong plus. Leadership & Collaboration Lead a team of engineers in Python-based AI inference and optimization. Collaborate with researchers, software engineers, DevOps, and hardware vendors. Define debugging, deployment, and performance tuning best practices.

Research Engineer Location: Bangalore, Karnataka, India Job Type: Full-Time Experience Level: 0-8 years Company: IBM Research India (IRL) Introduction: IBM Research is the innovation engine of IBM and is the largest industrial research organization in the world. With 12 labs across 6 continents and over 3200 researchers globally, we produce more patents daily than any other organization. At IBM Research India (IRL), we are shaping the future of computing in areas like AI, Hybrid Cloud, and Quantum Computing. Our work is at the forefront of breakthrough innovations in Foundation Models, AI systems, large-scale data engineering, and more. We are looking for top talent to join us in our exciting and dynamic projects, pushing the boundaries of innovation. As a Research Engineer, you will work on pioneering research and development in the most cutting-edge fields of AI and computing. Role Overview: The Research Engineer role at IBM India Research Lab (IRL) involves working on challenging, dynamic, and highly innovative projects in the fields of AI, machine learning, and data systems. Your responsibilities will span multiple areas including optimizing AI models for large-scale distributed systems, pre-training foundation models, and developing real-world use cases that leverage IBM s infrastructure and models. Key Responsibilities: Optimized Runtime Stacks for Foundation Models: Work on fine-tuning, inference serving, and large-scale data engineering for AI models. Focus on multi-stage tuning, reinforcement learning, inference-time compute, and preparing data for complex AI systems. Model Optimization Across Accelerators: Develop solutions to optimize models for multi-accelerator environments, particularly focusing on IBM s AIU accelerator. Work on compiler optimizations, specialized kernels, libraries, and tools to enhance model performance. Pre-training and Deployment of Foundation Models: Participate in pre-training language models and multi-modal foundation models. Work on distributed training procedures, model alignment, and creating pipelines for various tasks, including LLM-generated data pipelines. Research and Use Case Development: Develop and implement use cases that effectively leverage infrastructure and models to drive real-world value. Contribute to creating frameworks for human-data collection and deploying models on user-centric platforms. Required Education and Experience: Education: A Master s degree in Computer Science, AI, or related fields from a top institution. Experience: 0-8 years of experience working with modern ML techniques, including but not limited to model architectures, data processing, fine-tuning techniques, reinforcement learning, distributed training, and inference optimizations. Technical Skills: Experience with big data platforms such as Ray and Spark. Experience with Pytorch FSDP and HuggingFace libraries. Proficiency in programming with Python or web development technologies. Mindset and Attitude: A growth mindset and pragmatic approach to problem-solving. Preferred Experience: Research Experience: Peer-reviewed research at top machine learning or systems conferences. Advanced Technical Skills: Experience working with pytorch.compile, CUDA, Triton kernels, GPU scheduling, and memory management. Open Source Contributions: Experience working within open-source communities, contributing to or developing open-source projects. Innovative Environment: Be at the forefront of technological innovation, working on cutting-edge projects in AI, quantum computing, and more. Global Impact: Work on projects that influence both academic research and commercial product development, making a global impact. Career Development: IBM offers abundant opportunities for learning and growth, with access to the latest technologies and research. Collaborative Culture: Work with a diverse team of world-class researchers and engineers in a collaborative, open-source-driven environment. Apply today and become a part of the team that s redefining innovation. Qualification : A Masters degree in Computer Science, AI, or related fields from a top institution.

Job Title: AI/ML Engineer (LLM-driven Products) Location: Bengaluru, Karnataka Experience: 3+ years Work Modality: Full-time (Work from office) Job Description: We are seeking an AI/ML Engineer to help develop LLM-driven products from the ground up. The ideal candidate will have a strong programming background and experience working with Transformer architecture to design cutting-edge AI systems. If you're passionate about implementing scalable AI solutions and driving innovation, we would love to have you join our team! As part of the team, you will work on transformer models like BERT, GPT, T5, and other small LLMs for Natural Language Processing (NLP) and Computer Vision tasks. You will have the opportunity to work on impactful AI solutions that are designed to scale globally. Key Responsibilities: LLM Product Development: Design and develop products powered by large language models (LLMs), ensuring they meet the technical requirements and scale for global deployment. Model Fine-tuning & Optimization: Fine-tune transformer models for tasks such as text classification, summarization, image generation, and recognition. Implement optimization techniques to accelerate model performance, including GPU optimization and model quantization. AI Solutions Implementation: Translate AI research into actionable product features, ensuring AI models are implemented effectively to solve real-world problems. Collaboration & Communication: Work closely with cross-functional teams to integrate AI models and solutions into larger products. Communicate complex technical concepts to non-technical stakeholders. Model Deployment: Deploy models using frameworks like Flask, FastAPI, or through cloud-based inference services. Data Preprocessing & Training: Engage in data preprocessing and feature engineering to improve the performance of AI models. Required Qualifications: Experience: 3+ years of hands-on experience in AI/ML, specifically working with Transformer-based models like BERT, GPT, T5, ViTs, or small LLMs. Technical Skills: Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. In-depth understanding of Transformer architecture and its applications in NLP (text classification, summarization) and Computer Vision (image generation, recognition). Experience in deploying models using frameworks like Flask, FastAPI, or cloud-based inference services. Familiarity with GPU acceleration, model optimization, and model quantization. Proficient in data preprocessing, feature engineering, and training workflows. Analytical Skills: Ability to independently analyze open-source code repositories and leverage existing models for further optimization. What We Offer: Competitive Salary: Attractive salary based on experience and expertise. Innovative Work Environment: Work on cutting-edge AI and machine learning solutions with the opportunity to shape innovative products. Career Growth: Opportunities to advance your career in AI/ML and work with a team of passionate professionals. Comprehensive Benefits: A benefits package designed to support your overall well-being and work-life balance.

Job Title: AI Engineer Group: Platform & Energy Business Unit: CARIAD Business Unit India Location: Whitefield, Bangalore Experience: 5 to 9 years About CARIAD (Car, I Am Digital) CARIAD is an automotive software company that brings together the Volkswagen Group's software capabilities and builds upon them to drive innovation across the automotive industry. We are developing a unified technology and software platform, including a vehicle operating system, a vehicle cloud platform, and a new architecture for all Volkswagen Group brands. Operating under a licensing agreement with CARIAD SE in Germany, CARIAD India is at the heart of transforming automotive mobility through technology. Join us and become part of a team that is building the future of automotive software. With a talented team of over 360 experts at CARIAD India and 6,000+ global CARIDIANs, you will work on cutting-edge platforms and technologies, from firmware and bootloaders to AUTOSAR, Linux/QNX BSP, and service-oriented architecture-based middleware components. Job Description We are looking for an AI Engineer to join our team and contribute to developing innovative AI models and solutions for the automotive industry. As an AI Engineer, you will work with large language models (LLMs), deep learning frameworks, and natural language processing (NLP) techniques, creating impactful AI applications. You will play a key role in AI model development, training, fine-tuning, and integrating AI solutions across automotive platforms. Key Responsibilities: AI Model Development: Design, develop, and implement advanced AI models, specifically leveraging deep learning frameworks like TensorFlow, PyTorch, and Scikit-learn. LangChain Expertise: Utilize LangChain to integrate generative AI capabilities into platforms and applications, ensuring efficient and scalable AI implementations. Large Language Models (LLMs): Implement and fine-tune large language models (LLMs), exploring new ways to enhance their performance and apply them to real-world automotive challenges. NLP Techniques: Apply natural language processing (NLP) techniques to improve AI systems' understanding and processing of textual data. Data Handling: Work with large datasets, performing data preprocessing, cleaning, and analysis to ensure the quality and accuracy of AI models. System Integration: Collaborate with both frontend and backend teams to integrate AI solutions into automotive software platforms. Model Training and Fine-tuning: Lead the training of machine learning models, fine-tune them for specific use cases, and optimize for real-time applications in the automotive domain. Collaboration: Work closely with cross-functional teams, including engineers, data scientists, and product managers, to ensure successful AI application development and deployment. Required Skills and Experience: Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. AI Expertise: Proven experience in developing AI models, particularly using Python and frameworks like TensorFlow, PyTorch, or Scikit-learn. LangChain Knowledge: Strong expertise in LangChain and its use in building generative AI solutions. Large Language Models (LLMs): Solid understanding of LLMs and practical experience implementing them in various applications. NLP Experience: Experience with natural language processing (NLP) techniques, including text processing, semantic analysis, and machine translation. Data Handling: Ability to work with large datasets, performing efficient data preprocessing, cleaning, and analysis. Frontend and Backend Systems: Hands-on experience in both frontend and backend systems, ensuring smooth integration of AI models into full-stack applications. Model Training: Experience in training and fine-tuning machine learning models, especially LLMs, to improve accuracy and performance. Good to Have: Automotive Domain Experience: Familiarity with the automotive industry and how AI can be applied to automotive systems, such as autonomous driving, in-vehicle infotainment, and smart diagnostics. Innovative Environment: Work on cutting-edge AI technologies and contribute to the digital transformation of the automotive industry. Career Growth: Opportunity to develop your career and grow within a global company that values creativity, innovation, and continuous learning. Collaborative Culture: Work alongside a talented and motivated team of experts from around the world to solve complex challenges. About CARIAD India CARIAD India is an integral part of the global CARIAD team, contributing to the advancement of automotive software technologies. By joining CARIAD India, you'll be part of a dynamic team driving innovation in the automotive industry, developing groundbreaking technologies, and creating a positive impact on the future of mobility. Qualification : Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Job Title: Senior UI Engineer Location: Bangalore, India About Couchbase: As industries race to embrace AI, traditional database solutions fall short of the increasing demands for flexibility, performance, and cost-efficiency. Couchbase is leading the way with Capella, the developer data platform for critical applications in today s AI world. By seamlessly uniting transactional, analytical, mobile, and AI workloads into a fully managed solution, Couchbase empowers developers and enterprises to build and scale applications with unmatched performance, scalability, and cost-effectiveness from cloud to edge. Trusted by over 30% of the Fortune 100, Couchbase is driving innovation, accelerating AI transformation, and redefining customer experiences. Join us on our mission! Job Overview: We are seeking a talented and experienced Senior UI Engineer to join our team. The ideal candidate will be a strong advocate for the user experience and have the expertise to rapidly convert UX designs into seamless, high-performing user interfaces that meet product specifications. Responsibilities: Collaborate closely with UX designers, product managers, and software engineers to understand project requirements and translate them into interactive, user-friendly interfaces. Design and develop responsive, visually appealing web applications and user interfaces using HTML, CSS, JavaScript, and React. Ensure technical feasibility of product requirements and UX designs, optimizing applications for maximum speed and scalability. Conduct code reviews and provide constructive feedback to foster continuous improvement within the team. Stay up-to-date with the latest trends, best practices, and emerging technologies in front-end development, and recommend their integration to improve product quality. Identify and resolve performance and compatibility issues across different browsers and platforms. Champion engineering best practices, standards, and guidelines within the team. Collaborate with backend developers to integrate front-end interfaces with server-side logic and APIs. Troubleshoot and debug issues, providing timely resolutions. Promote the writing of automated tests and adhere to testing best practices to ensure application quality. Requirements: Education: Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. Experience: 7-10 years of hands-on experience in building user interfaces for web applications. Technologies: Proficiency in front-end technologies such as TypeScript, Tailwind, React, and Angular. Performance Optimization: Solid understanding of web performance optimization techniques and best practices. Problem-Solving: Excellent problem-solving skills with the ability to troubleshoot complex issues. Collaboration: Strong communication and collaboration skills, with the ability to work effectively in a team-oriented environment. Leadership: Proven expertise in mentoring and guiding junior developers and advising leadership on the adoption of technologies that improve productivity, code quality, and maintainability. Preferred Qualifications: Experience designing products for software developers or databases is a plus. Familiarity with multi-cloud platforms and web applications, especially those used by database developers. Knowledge of Svelte component framework. Curious, adaptable, and willing to explore new challenges and continuously learn. Comfortable working in a fast-paced development and deployment environment. At Couchbase, we believe in empowering developers and architects to build modern applications that provide exceptional customer experiences. With our flexible, fast, and affordable cloud database platform, Capella, we offer organizations a unique edge in building scalable applications. We are proud to be trusted by over 30% of the Fortune 100 companies. Some of the benefits of working at Couchbase include: Generous Time Off Program: Flexibility to care for yourself and your family. Wellness Benefits: A variety of world-class medical plans, along with dental, vision, life insurance, and employee assistance programs. Financial Planning: RSU equity program, ESPP program, retirement plans, and business travel insurance. Career Growth: A "Be valued, Create value" approach to career development. Fun Perks: Ergonomic office setup, food and snacks for in-office employees, and more! Qualification : Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.

Job Title: Software Engineering Manager Couchbase Capella Location: Bangalore, India (Office-based role, 3 days a week in the office) About Couchbase: As industries race to embrace AI, traditional database solutions fall short of the increasing demands for versatility, performance, and affordability. Couchbase is leading the way with Capella, the developer data platform for critical applications in today s AI-driven world. By seamlessly uniting transactional, analytical, mobile, and AI workloads into a 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 driving innovation, accelerating AI transformation, and redefining customer experiences. Join us on our mission! Job Overview: We are seeking an experienced Engineering Manager to lead a team of software developers building the next generation of cutting-edge Database as a Service (DBaaS) on the public cloud. In this role, you will be responsible for leading the team to deliver high-quality projects on time while ensuring that the operations of our service in production meet targeted Service Level Objectives (SLOs). The ideal candidate will possess a strong technical background, experience managing engineering teams, and excellent leadership and communication skills. Responsibilities: Lead and manage a team of software developers, providing guidance, mentorship, and performance feedback. Ensure the timely delivery of projects that meet business objectives, quality standards, and supportability goals. Oversee production systems to ensure they meet availability, performance targets, and Service Level Agreements (SLAs). Work cross-functionally with product management, QA, and other teams to develop staffing plans, release roadmaps, and ensure successful project delivery. Foster a collaborative and high-performance team culture that emphasizes continuous improvement and innovation. Contribute to technical design, architecture, and code reviews while maintaining a hands-on approach as needed. Requirements: Education: Bachelor s or Master s degree in Computer Science or a related field, or equivalent practical experience. Experience: At least 3 years of experience as an Engineering Manager and 8+ years of experience as a Software Engineer. Proven track record of successfully managing software development projects on public cloud platforms. Strong experience with at least one of the major cloud platforms (AWS, GCP, or Azure). Experience with Golang is highly preferred, particularly in managing large projects written in Golang. Strong communication and leadership skills, with the ability to collaborate effectively with cross-functional teams. Couchbase is at the forefront of revolutionizing modern application development with Capella, our fast, flexible, and affordable cloud database platform. By offering best-in-class price performance, we enable organizations to build and scale applications that deliver exceptional customer experiences from cloud to edge. Over 30% of the Fortune 100 companies trust Couchbase to power their modern applications, and we are honored to be named among the Best Places to Work in the Bay Area and the UK. Some of the benefits of working at Couchbase include: Generous Time Off Program: Flexibility to care for yourself and your family. Wellness Benefits: World-class medical plans, dental, vision, life insurance, and employee assistance programs. Financial Planning: RSU equity program, ESPP program, retirement programs, and business travel insurance. Career Growth: Be valued, create value we support your career development. Fun Perks: Ergonomic office setup, food and snacks for in-office employees, and much more. Qualification : Bachelors or Masters degree in Computer Science or a related field, or equivalent practical experience.

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!

Job Title: Senior Software Development Engineer in Test (SDET) Location: Bangalore, India (Office-based role) About Couchbase: As industries race to embrace AI, traditional database solutions fall short of the growing demands for versatility, performance, and affordability. Couchbase is leading the way with Capella, the developer data platform for critical applications in the 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: Couchbase is expanding rapidly, and our Engineering and Cloud teams are at the heart of this growth. As a Senior Software Development Engineer in Test (SDET), you will be a key contributor to ensuring high quality across our data infrastructure systems. You will collaborate closely with engineering teams to optimize test frameworks in Python/Golang, scaling them to handle larger workloads under stress and heavy load. This role provides an exciting opportunity to contribute to the growth and development of our products and to shape the future of our testing and automation strategies. Responsibilities: Automation & Test Framework: Lead the design, implementation, and maintenance of automation and test frameworks to support large-scale data infrastructure systems. Scaling Systems: Optimize test frameworks (Python/Golang) to handle systems under large scale, high load, and stressful conditions. Component Testing: Drive testing across multiple components, including API interfaces, databases, storage, file systems, and OS-level functionality. Environment Configuration: Set up and configure test environments, including Windows and Linux OS, networking, proxies, and client-server tests. Collaboration: Work with cross-functional teams to ensure quality testing and continuous improvement of products through integrated automated testing. Analysis & Reporting: Provide in-depth analysis and generate clear, actionable reports on test results, issues, and areas for improvement. Problem-Solving: Identify and resolve complex testing issues in a timely manner, demonstrating self-motivation and keen analytical skills. Communication: Maintain strong communication with both technical and non-technical teams to provide clarity on testing outcomes, issues, and resolutions. Requirements: Experience: 4 to 6 years of hands-on experience in automation and test framework implementation. Programming Skills: Proficiency in Python, C/C++, Java, or Golang. Testing Expertise: Demonstrated experience testing APIs, databases, storage systems, file systems, and operating systems. Technical Understanding: Good understanding of large-scale distributed systems, relational/NoSQL databases, OS concepts, and networking. Test Environments: Experience configuring test environments and working with infrastructure as a service (IaaS) across Windows and Linux OS. Problem-Solving & Analytical Skills: Strong attention to detail, excellent problem-solving skills, and curiosity for identifying and addressing complex issues. Collaboration: Ability to thrive in a fast-paced environment and work effectively within a team. At Couchbase, we reimagine database technology to enable modern, flexible, and cost-effective applications that drive premium customer experiences. Our Capella platform delivers cutting-edge solutions, empowering businesses to rapidly build applications that scale with performance and flexibility. Benefits at Couchbase: Generous Time Off Program: Flexibility to care for yourself and your family. Wellness Benefits: A variety of 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: We value your contributions and provide opportunities to grow and make an impact. Fun Perks: Ergonomic office setup, food & snacks for in-office employees, and more!