Lead Engineering Jobs in Bengaluru

AI Native Product Manager Location: Bengaluru Type: Full-Time Experience Required: 2+ Years in PM (with a B2C focus) Role Overview: Architecting the Future of AI We are seeking a visionary AI Native Product Manager to drive innovation within our core product suite. You will leverage deep expertise in LLMs, Generative AI, and AI Prompting to translate market trends and user needs into a cohesive, high-impact product strategy. This is a role for a "tinkerer" who understands the technical nuances of AI and the psychological drivers of B2C users. The Ideal Candidate Profile AI Specialization: Technical Fluency: Deep knowledge of Large Language Models (LLMs), Gen AI workflows, and advanced Prompt Engineering. Hands-on Tinkering: A genuine passion for AI advancements and a history of experimenting with cutting-edge AI tools. Product Leadership: Metrics Ownership: Proven track record of owning and successfully driving Head Metrics for a digital product. B2C Expertise: Essential experience in B2C product management, focusing on user behavior and retention. GTM Strategy: Experience with Product Launches and Go-to-Market (GTM) strategies is a significant advantage. Agile Mastery: Expert understanding of Agile methodologies and end-to-end product lifecycle management. Key Responsibilities Strategy & Discovery: Visionary Roadmap: Develop and adapt a clear product vision based on market analysis and evolving AI trends. Requirements Engineering: Translate stakeholder needs into precise product specs, user stories, and acceptance criteria. Execution & Growth: Cross-functional Leadership: Lead engineering, design, and marketing teams to ensure seamless execution of the roadmap. End-to-End Development: Manage scope, timelines, and resources to deliver high-quality AI-driven features. Launch & Iterate: Execute successful product launches and monitor post-launch performance to inform continuous improvements. Data-Driven Decisions: Use data analytics and user behavior insights to track KPIs and pivot strategies proactively. Core Competencies Communication: Ability to convey complex AI concepts to non-technical stakeholders clearly. Problem Solving: A proactive, hands-on approach to tackling the unique challenges of non-deterministic AI outputs. Quantitative Mindset: Comfortable with advanced analytics tools to validate product hypotheses.

Data Engineering Lead Bengaluru | Engineering | Full-Time About Fam (formerly FamPay) Fam is India s first payments app designed for everyone aged 11 and above. FamApp enables seamless online and offline payments through UPI and FamCard. Our mission is to empower over **250 million young Indians** to start their financial journey early, becoming financially aware and confident. Founded in 2019 by IIT Roorkee alumni, Fam is backed by top-tier investors including Elevation Capital, Y-Combinator, Peak XV (Sequoia Capital India), Venture Highway, and angels like Kunal Shah and Amrish Rao. About the Role We re looking for a visionary **Data Engineering Lead** to take **end-to-end ownership** of Fam s data ecosystem from data ingestion and storage to processing and delivering actionable insights. You ll **define the data strategy and architecture** that supports both batch and **real-time** use cases, ensuring scalability, reliability, and governance across the organization. You will be instrumental in enabling accurate, complete, and trusted data flow that powers business intelligence, analytics, and product decision-making. This role involves **leadership, strategic thinking**, and hands-on problem solving. What You ll Do Own the full data lifecycle: ingestion, organization, storage, processing, and presentation. Define and execute **data architecture and strategy** aligned with operational and analytical goals. Build **scalable, reliable, and observable data systems** supporting batch and near real-time processing. Ensure **data quality, governance, and compliance**, proactively resolving discrepancies. Collaborate with product, engineering, and business teams to define, track, and optimize key metrics. Anticipate data-related challenges and implement preventive solutions. Lead, mentor, and grow the data engineering team, fostering innovation and accountability. Must-Haves 10+ years experience in data engineering, including proven leadership of teams or projects. Expertise designing, building, and scaling end-to-end data pipelines and systems. Deep understanding of the data lifecycle, from ingestion through business reporting. Strong communication skills and ability to collaborate across technical and business teams. Solid knowledge of **data governance, quality assurance, and compliance standards**. Experience with observability and proactive monitoring for data systems. Proficiency in Python and SQL; familiarity with Scala or Java. Hands-on experience with streaming and batch data frameworks. Experience designing large-scale data lakes and warehouses with best practices for schema evolution and partitioning. Strong background with **cloud platforms (AWS, GCP, or Azure)**. Fintech or regulated industry experience is a plus. Good to Have Fintech-specific data experience, including regulatory compliance and reporting. Deployment experience with **real-time analytics** and event-driven architectures. Familiarity with containerization and infrastructure tools like Docker, Kubernetes, Terraform. Knowledge of data observability tools (Monte Carlo, Databand, etc.). Exposure to **ML pipelines** and model deployment. Solve challenging problems at the intersection of big data, real-time processing, and fintech. Lead impactful data initiatives at a rapidly growing startup. Collaborate with a world-class team of engineers, data scientists, and product leaders. Competitive compensation, equity, and benefits. Clear career growth opportunities in leadership and innovation. Perks That Go Beyond the Paycheck Relocation assistance for a smooth move. Free office meals (lunch & dinner). Generous leave policies (birthday, period, parental support, and more). Salary advances and loan policies for financial support. Quarterly rewards, recognition, and referral incentives. Access to the latest gadgets and tools. Comprehensive health insurance with mental health support. Tax benefits like food coupons, phone allowances, and leasing options. Retirement benefits including PF contribution, leave encashment, and gratuity. About FamApp FamApp focuses on financial inclusion for the next generation by offering UPI and card payments to users aged 11+. Our flagship product, FamX, integrates UPI and card payments seamlessly, helping users manage, save, and learn about their finances effortlessly. With over **10 million users**, FamApp is revolutionizing how young Indians transact eliminating the need to carry cash and offering customizable FamX cards with personal doodles for a fun, unique payment experience. Join Our Dynamic Team At Fam, we foster a people-first culture with flexible work schedules, generous leave, comprehensive health benefits, and mental health support. You ll be part of a passionate, talented, and fun team shaping the future of fintech for India s youth.

Software Development Manager Experience: 8+ Years Location: Bangalore Company: Kaleidofin About Us Kaleidofin is a mission-driven fintech platform committed to delivering financial solutions for underserved communities. Our proprietary ki credit platform combines advanced credit health analytics, middleware integration, risk dashboards, and debt capital structuring empowering financial institutions to serve low-income customers, informal sector businesses, and MSMEs more effectively. Operating across India, Bangladesh, and Kenya, we ve already impacted over 6 million customers, enabling over $3 billion in debt capital for underserved communities. Backed by global investors including the Gates Foundation, Omidyar Network, and Blume Ventures, Kaleidofin is recognized as a leader in inclusive finance. Featured on Forbes Asia's "100 to Watch" Winner of RBI s Swanari TechSprint 2023 Winner of G20 TechSprint 2024 by BIS Certified as a Great Place to Work Role Overview As a Software Development Manager, you will play a key leadership role in shaping the technical roadmap and executing high-impact fintech products. You ll lead a team of engineers to build scalable, secure, and robust systems. This is a hands-on leadership role requiring active involvement in design, architecture, and code-level decisions. What You ll Do Own the product s engineering roadmap, architecture, scalability, and code quality. Guide system design decisions and lead architecture/code reviews. Collaborate closely with Product and Business teams to align on product strategy and feature development. Provide hands-on technical leadership especially in solving complex problems in fintech and lending domains. Mentor and develop engineering talent; foster a culture of ownership, innovation, and quality. Champion engineering best practices including test automation, CI/CD, and DevOps. Lead the adoption of data-driven practices including Big Data, PySpark, and data pipeline architectures. Balance short-term deliverables with long-term technical sustainability and scalability. Support team growth through career development, learning plans, and succession planning. 8+ years of software development experience, with 1 2+ years in people/team management roles. Strong fundamentals in computer science, system design, and problem-solving. Bachelor's or Master's degree in CS or related field from a top engineering institution (IITs, NITs, etc.). Proven experience building distributed, scalable, and secure systems. Strong hands-on experience with Python, Java, Spring Boot, and microservice architectures. Proficient in SQL/NoSQL, Kafka, CI/CD pipelines, and DevOps tools (Docker, Kubernetes, Jenkins, etc.). Familiarity with AI/ML model integration and credit scoring systems is a strong plus. Experience with data engineering: Big Data, Spark, Airflow, AWS stack (S3, Glue, Athena), etc. Knowledge of front-end and mobile (Android) development is a plus. Experience working in fintech, lending tech, or high-growth startup environments preferred. Excellent leadership, communication, and cross-functional collaboration skills. Be part of a high-impact team driving financial inclusion at scale. Work on cutting-edge technology in fintech and data infrastructure. Grow with a company that s winning global recognition and delivering real-world impact. Contribute to a people-first culture that values learning, innovation, and work-life balance. Qualification : Bachelor's or Master's degree in CS or related field from a top engineering institution

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

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

Senior Manager Full Stack Engineering Location: Bangalore Company: Capital One India About Capital One India At Capital One India, we blend the agility of a startup with the scale of a Fortune 100 company. Our technology teams drive transformation across banking by building next-generation financial products that are secure, user-centric, and powered by cutting-edge engineering practices. We are makers, breakers, doers, and thinkers working together to reinvent consumer finance through technology, modern design, and data science. As a company that builds its own software and platforms, we re constantly innovating to help over 65 million customers bank better. About the Role As a Senior Manager Full Stack Engineering, you ll lead multiple teams building highly available, scalable, and secure platforms and applications. You ll be at the forefront of technical design, architecture, and implementation, helping your teams deliver impactful solutions across web, mobile, backend services, and cloud infrastructure. This is a hands-on leadership role ideal for an experienced engineering leader who still loves to write code, mentor engineers, and contribute directly to architecture and product evolution. What You ll Do Lead full-stack engineering teams delivering cross-functional, multi-platform applications using modern cloud and open-source technologies. Own end-to-end technical design, architecture decisions, and delivery strategy for critical systems. Partner with architects, product managers, and cross-functional leaders to understand requirements, prioritize needs, and develop scalable solutions. Guide and mentor engineers, driving technical excellence, performance, and career growth across teams. Drive Agile delivery, ensuring projects meet timelines and quality standards while promoting DevOps best practices. Champion and enforce best practices in secure coding, architecture, compliance, and accessibility. Collaborate with internal and external stakeholders to align technology vision with business goals. Manage full software development lifecycle: planning, estimation, implementation, deployment, and support. Foster a culture of engineering excellence, continuous learning, and experimentation. Basic Qualifications Bachelor s Degree in Computer Science, Engineering, or a related field 8+ years of experience in software development, with a focus on full-stack systems 5+ years of experience managing software development teams through full release cycles Proven track record of leading Agile teams and delivering high-impact technology projects 5+ years of people management experience, including mentoring and team scaling Preferred Qualifications Master s Degree in Computer Science, Engineering, or Business 10+ years of software engineering experience in large-scale, distributed systems 6+ years of experience applying Agile methodologies (Scrum, Kanban, SAFe) Hands-on experience with some or all of the following: Languages: Java, Python, Go, JavaScript, Node.js Frontend: React, AngularJS, HTML5, CSS Cloud: AWS, Azure, GCP (AWS preferred) DevOps: CI/CD, Docker, Kubernetes, Terraform Databases: NoSQL (MongoDB, Cassandra), SQL, Redshift, Snowflake Strong understanding of accessibility standards and building inclusive digital products Experience with Big Data, event-driven architectures, and RESTful APIs Passion for mentoring, technical excellence, and building diverse, high-performing teams Join a team that's redefining how software powers banking Build next-gen cloud-native applications from scratch Work on meaningful problems with direct customer impact Thrive in a collaborative, transparent, and inclusive culture Access top-tier learning opportunities, technical conferences, and internal mentorship Qualification : Masters Degree in Computer Science, Engineering, or Business

Job Title: Lead Associate Software Engineering (Database Developer) Location: Bengaluru Type: Full-Time Level: Senior Database Developer About BetaNXT BetaNXT is shaping the future of connected wealth management infrastructure, delivering real-time data capabilities that improve advisor productivity, reduce operational costs, and enhance the investor experience. Leveraging the combined power of Beta, Maxit, and Mediant, our solutions tackle complex integration challenges and modernize platforms for scalability, agility, and growth. We help wealth management firms turn legacy platforms into differentiating assets. About the Role We are looking for a Senior Database Developer to join our Product Engineering team as a Lead Associate Software Engineering. In this role, you will play a critical part in designing, developing, and optimizing enterprise-grade database solutions to support our next-generation wealth management platform. This position is ideal for a detail-oriented and performance-focused database professional who thrives in a collaborative Agile environment and is passionate about building scalable, reliable data systems. Key Responsibilities Design, develop, and maintain complex SQL queries, stored procedures, triggers, and database scripts. Analyze and optimize database performance, ensuring scalability and efficiency. Develop and maintain SSRS reports, support ETL processes, and collaborate on SSIS packages. Work closely with application developers to ensure seamless database integration and data flow. Perform in-depth data analysis to support business and product requirements. Partner with QA teams to validate data integrity and support testing cycles. Conduct unit testing and developer-level validation to ensure quality before release. Participate in daily Scrum meetings and Agile ceremonies to coordinate development efforts. Troubleshoot and resolve complex technical issues related to data and performance. Document all development work to support maintainability and knowledge sharing. Required Qualifications & Experience Experience: 7+ years of hands-on experience in SQL database development in enterprise environments. Technical Skills: Advanced SQL development skills, including writing and optimizing complex queries and stored procedures. Proficiency in T-SQL (preferred), with acceptable expertise in PL/SQL or equivalent SQL dialects. Experience with SSRS (SQL Server Reporting Services), SSIS, and ETL processes. Strong data modeling, data analysis, and database design capabilities. Hands-on experience in performance tuning and query optimization techniques. Working knowledge of AWS services such as S3, SSM, and DynamoDB is a plus. Soft Skills & Collaboration Strong problem-solving and analytical thinking skills. Excellent verbal and written communication skills. Ability to work collaboratively across cross-functional Agile teams. Highly organized, detail-oriented, and self-motivated. Contribute to a platform backed by industry innovation and 11 technology patents. Help shape the future of real-time data and wealth management systems at scale. Collaborate with a high-impact, global engineering team in a dynamic, fast-paced environment. Thrive in a company culture that values growth, curiosity, and collaboration.

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

Lead - Salesforce Development Department: Software Engineering Job Type: Full Time Location: Banglore JOB DESCRIPTION: We are looking for a Sr. Software developer/Lead to join our Salesforce team. The team is responsible for the end to end product development including the APIs and UI for the features, security and performance aspects, As a developer you will collaborate with product managers, quality engineers, and other top notch software engineers to design and implement features for our Qualityze Suite of products on force.com platform. RESPONSIBILITIES: Lead feature and architecture design with a major focus on force.com platform. Hands on design and development of custom solutions on the force.com platform including significant work in Apex, Visual Force and application integration patterns. Have a passion for quality and writing clean,solid, readable code thatscales and performs well. Adopt, embrace, and promote agile and test driven practices with your peers. Value team excellence over individual productivity. Designs and implements business technology solutions focused on cloud based business applications, specifically force.com. Release and Environment Management including sandbox usage planning, metadata and data migration, environment comparisons and version control. Participate and promote architectural initiatives, balancing long term velocity with short term customer needs. REQUIRED SKILLS AND EXPERIENCE: Good experience building large scale, data driven web applications. Hands on experience on Java. In depth Knowledge of databases and experience with SQL and relational schema design

Job Title: Senior AI Engineer Location: Bengaluru, Karnataka, India Department: GenAI Experience: 4.5 to 7 years Open Positions: 5 About the Role As a Senior AI Engineer, you will design, build, and maintain scalable AI solutions with a strong focus on Generative AI technologies such as large language models (LLMs), embeddings, and retrieval techniques. You will lead a team of AI engineers and collaborate with stakeholders to deliver impactful AI-driven products aligned with business goals. Your role includes mentoring, project planning, ensuring data quality, and driving continuous process improvements. Key Responsibilities Design, develop, and deploy scalable AI/ML solutions, specializing in advanced Generative AI (LLMs, embeddings, retrieval-augmented generation, prompt engineering). Lead, mentor, and develop a team of AI engineers in a collaborative, inclusive environment. Coordinate with stakeholders to gather requirements, prioritize tasks, and define project timelines. Ensure projects align with overall business objectives and data strategies. Oversee data quality, integrity, and security in AI engineering projects. Build reusable frameworks to enhance the efficiency and scalability of AI systems. Manage client communications to translate requirements into technical outcomes. Identify skill gaps and create opportunities for professional development. Drive initiatives for improving data operations and AI delivery efficiency. Required Technical Skills 4.5 to 7 years of experience developing and deploying scalable AI/ML solutions. Strong expertise in data modeling, relational and NoSQL databases, software development lifecycle, unit testing, and functional programming. Proficient in designing and implementing advanced Generative AI solutions including LLMs, embeddings, retrieval techniques, and prompt engineering. Experience designing and optimizing Retrieval-Augmented Generation (RAG) systems. Proficiency with Databricks workflows, including job and cluster management, and API usage. Solid understanding of data structures, algorithms, multiprocessing, and optimization techniques. Skilled in Python libraries such as Pandas, NumPy, FastAPI for data processing and API development. Expertise in SQL optimization and database schema design. Experience deploying AI models using Docker and Kubernetes. Familiarity with version control using GitHub. Hands-on experience with cloud platforms like Azure, AWS, or GCP for AI deployments. Optional experience with PySpark for data processing. Basic understanding of CI/CD pipelines and deployment best practices. Required Non-Technical Skills Strong problem-solving ability with financial impact awareness in both team management and solution delivery. Excellent verbal and written communication skills, comfortable interacting with mid-level client management. Ability to balance pragmatic solutions versus perfect outcomes and rally teams accordingly. Strong interpersonal skills including conflict resolution, empathy, negotiation, and active listening. Demonstrated leadership and mentorship capabilities. Self-motivated with a strong sense of ownership. Good to Have Familiarity with data visualization tools and techniques. Understanding of data security, privacy, governance, and compliance frameworks. Experience with graph databases and graph processing frameworks. Knowledge of data virtualization and federation methods. Skills in data profiling and data quality management. Education Bachelor s degree in Engineering, Computer Science, or a related field. Qualification : Bachelors degree in Engineering, Computer Science, or a related field.

Engineering Manager Data Location: Bangalore, Karnataka | Department: Tech About the Team At Meesho, we power millions of orders daily with zero downtime thanks to our cutting-edge data and backend systems. Our engineering culture is built on speed, ownership, and a growth mindset. We embrace failures as learning opportunities and foster a 'Founder s Mindset' across all engineering teams. We're passionate technologists, team players, and storytellers just as comfortable building robust data platforms as we are bonding over books, games, or chai. If you're ready to lead a team building high-impact, real-time data systems that touch millions of users, come join us. About the Role We are seeking an experienced Engineering Manager Data to lead our data engineering initiatives. You ll be responsible for building scalable data platforms, managing distributed systems, and ensuring data accuracy, accessibility, and real-time analytics capabilities. This role combines technical depth, strategic thinking, and team leadership to build next-gen data systems powering Meesho s mission. What You Will Do Design and allocate technical tasks based on Meesho s data engineering standards and architecture. Lead and mentor a team of data engineers; conduct regular performance reviews and provide growth feedback. Oversee development of scalable, distributed data systems across streaming and batch pipelines. Collaborate with Product, Design, and Sales teams to create innovative data-driven products and features. Monitor project progress, drive sprint planning, and report on key metrics using OKRs. Promote engineering best practices, data quality standards, and cloud-native development. What You Will Need Bachelor s or Master s in Computer Science or a related field. 8+ years of overall experience, with 4+ years managing software/data engineering teams. Hands-on expertise in Java, Python, or Go and multithreading. Experience with distributed data systems, including Apache Spark, Kafka, and streaming architectures. Deep understanding of relational and NoSQL databases. Proficient in cloud platforms (preferably AWS) and containerized deployments. Experience in data modeling, pipeline architecture, and data quality frameworks. Familiarity with BI tools like Tableau, Metabase, or Superset. Good to have: Knowledge of Trino, Flink, Presto, Druid, Pinot, and real-time analytics platforms. Strong project and stakeholder management; ability to lead cross-functional teams. About Us Meesho is India s fastest-growing e-commerce platform on a mission to democratize internet commerce for every Indian. With 1.75M+ sellers and millions of active customers, we offer zero commission, the lowest shipping costs, and unparalleled reach across every serviceable pincode in India. We're building Meesho to be Meri Shop for the next billion users empowering small businesses and first-time entrepreneurs to sell and thrive online. Our Culture & Total Rewards Our culture is rooted in impact, innovation, and inclusivity. Guided by 11 core principles or "Mantras", we empower our teams to think big, move fast, and grow constantly. Daily rituals like Reflections and Listen or Die ensure everyone has a voice and a growth path. What We Offer: Competitive Compensation including salary, performance bonuses, and equity. Wellness & Insurance via our MeeCare program, with extensive coverage for employees and families, plus mental health and wellness initiatives. Work-Life Balance with flexible work hours, generous leave policies, and parental support. Learning & Development with courses, mentorship, and career mobility through our Internal Mobility Program. Perks & Benefits including salary advances, relocation support, recreational discounts, and employee gifts. Join us to lead the data transformation at Meesho and help shape the future of commerce for India s next billion users. Apply now to make your mark! Qualification : Bachelors or Masters in Computer Science or a related field.

Director, Engineering Location: Bangalore, India Full Time Company: Meta Meta is seeking an experienced Engineering Director to lead and build our engineering team in India. This is a unique opportunity to help shape the future of Meta s engineering presence in the region, driving technical decision-making, collaboration, and execution to create high-quality enterprise software systems. As an Engineering Director, you will influence the technical direction, prioritize key initiatives, and lead a high-performing engineering team in a fast-paced, impact-focused environment. You ll have the opportunity to shape Meta s engineering strategy, recruit founding engineering teams, and ensure the successful delivery of complex enterprise systems. Key Responsibilities: Lead and execute strategies for delivering enterprise systems across various domains. Identify and seize new opportunities for growth and innovation within the organization. Drive the long-term technical vision and roadmap for large, enterprise-wide initiatives. Collaborate with cross-functional teams and influence key decisions for optimal outcomes. Manage teams delivering multiple high-impact projects in ambiguous or complex environments. Set clear goals, measure team impact, and drive engineering excellence. Build, lead, and nurture engineering teams to deliver on increasingly complex and interdependent projects. Minimum Qualifications: Bachelor s degree in Computer Science, Engineering, Applied Sciences, or a related field. 10+ years of progressive experience in software engineering, including at least 5 years of leadership experience. Proven expertise in coding in at least one of the following languages: C++, Java, Python, JavaScript, or PHP. Extensive experience in building large-scale enterprise software systems from the ground up. Proven track record of managing technical teams and serving as a technical lead. Experience in designing and developing distributed systems. Deep knowledge in enterprise systems across Finance, Supply Chain, or HR. Experience in defining software projects and making data-driven decisions. Preferred Qualifications: Experience setting up and leading an engineering office or team. About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is pushing beyond 2D screens toward immersive experiences in augmented and virtual reality to help create the next evolution in social technology. Join Meta and help shape a future where digital connection goes beyond the constraints of screens, distance, and even the rules of physics. Equal Employment Opportunity: Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other legally protected characteristics. Qualification : Bachelors degree in Computer Science, Engineering, Applied Sciences, or a related field.

Software Engineering Manager, Machine Learning Location: Bangalore, India Full Time Company: Meta Meta s Enterprise Product Applied Research team is at the forefront of developing transformative AI-driven products. We leverage cutting-edge AI technology to make Metamates more productive, improve the quality of their work, and challenge the limits of what AI can do. As a Software Engineering Manager in this team, you will help shape the future of Meta s enterprise operations, build innovative machine learning systems, and manage a team of talented engineers to deliver on high-impact projects. Key Responsibilities: Lead multiple teams to deliver projects with increasing dependencies in high-impact or ambiguous areas. Work with your team and cross-functional partners to define and influence strategy. Drive the creation and execution of roadmaps for machine learning products. Collaborate with various functions, engineering teams, and partners to drive initiatives and impact at an organizational level. Participate in technical design and ensure high standards for system architecture and implementation. Measure the impact of your team, set clear expectations, and drive performance through effective people management. Partner with leadership to influence organization design, prioritization, and resource allocation. Minimum Qualifications: 5+ years of software engineering experience, with hands-on technical management in large-scale systems, algorithms, and tools within the machine learning domain. 5+ years of coding experience in one of the following languages: C++, Java, Python, or PHP. BS/MS in Computer Science or a related discipline, or 4+ years of work experience in lieu of a degree. Demonstrated experience recruiting and managing technical teams, including performance management. Strong technical skills combined with effective people management abilities. Experience supporting and scaling machine learning teams and systems. Subject matter expertise in machine learning technologies and practices. Commitment to staying in the same team in India for a minimum of 24 months before being eligible for transfer. About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. Since launching Facebook in 2004, we ve revolutionized how people connect. Our apps, including Messenger, Instagram, and WhatsApp, have empowered billions worldwide. Now, we are moving beyond 2D screens toward immersive experiences in augmented and virtual reality, creating the next evolution in social technology. At Meta, you will help shape a future where digital connection transcends the limitations of screens, distance, and even the rules of physics. Equal Employment Opportunity: Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Qualification : BS/MS in Computer Science or a related discipline, or 4+ years of work experience in lieu of a degree.

Engineering Manager Location: Bangalore, Karnataka Full Time Experience: 8 - 12 Years About the Role Swiggy is looking for a passionate and hands-on Engineering Manager to join our high-performing tech team in Bangalore. You will play a pivotal role in driving the technology vision and strategy for the Food, Instamart, and Dineout business lines, building scalable platforms that power promotions, pricing, and ads across millions of daily interactions on the Swiggy app. This role is ideal for an experienced engineering leader who thrives in a fast-paced environment, can architect scalable systems, and enjoys mentoring and growing high-performing engineering teams. Key Responsibilities Lead a cross-functional team of backend and frontend engineers to build scalable and high-quality software solutions. Collaborate closely with Product Managers, Designers, and Business stakeholders to deliver robust, user-centric products. Co-own and drive the technology vision and architectural decisions for the team and product. Create clear career paths for team members and guide their development and growth. Mentor and coach team leads, senior engineers, and architects across the team. Drive the adoption of best software engineering practices including code reviews, testing, CI/CD, and design standards. Ensure timely delivery and consistent execution on business goals while maintaining technical excellence. 8 12 years of software development experience with at least 1 2 years in a people management or technical leadership role. Proven ability to lead engineering teams of 10+ developers in a dynamic, growth-focused environment. Strong hands-on experience with backend technologies like Java, Golang, Python, and related frameworks. Experience with web technologies, distributed systems, microservices architecture, and high-volume data pipelines. Strong foundation in databases: MySQL, NoSQL, Redis, and cloud technologies (e.g., AWS). Track record of building and scaling systems for products with high user engagement and traffic. Strong problem-solving, analytical, and technical decision-making skills. Excellent communication and stakeholder management skills. As part of Swiggy s Food Tech team, you will directly contribute to Swiggy s mission of becoming the King of Convenience. This is a high-impact leadership role that allows you to shape products used by millions, influence technical strategy, and build a world-class engineering team in one of India s leading consumer tech companies. Equal Employment Opportunity Swiggy is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status.

Principal Software Engineer StoreFront Team Location: Bangalore, Karnataka Hybrid Work (2 3 days in office/week) Experience: 10 14 Years About the Role Swiggy is looking for an experienced Principal Software Engineer to join our StoreFront Engineering team. This team is at the heart of Swiggy s customer experience across all major business lines Food, Instamart, Genie, and Stores. You will play a critical role in building highly scalable systems that power personalized discovery, seamless ordering, efficient payments, and data-driven merchandising for millions of users. About the Team The StoreFront team develops intelligent and robust systems including: Intent-driven merchandising and smart cataloging Relevance-based search and checkout management Multi-tenant payment platforms and Swiggy Money wallet integrations Scalable solutions supporting millions of transactions per day with 99.95% uptime What You Will Do Architect, design, and operate high-scale, distributed, low-latency systems with real-time capabilities. Lead development and expansion of Swiggy s multi-tenant ordering, payments, and wallet platforms across multiple verticals. Define and execute the long-term technology vision across the StoreFront organization. Make key technology and tool decisions to improve scalability, efficiency, and maintainability. Write and review code, contribute to system design, and drive end-to-end implementation and delivery. Act as a technical mentor and guide engineering best practices, including architectural reviews, coding standards, and operational excellence. 10 14 years of software development experience, with a proven track record of building and scaling high-performance, distributed systems. Strong proficiency in programming languages like Java or Golang (required). Deep understanding of data structures, algorithms, and design patterns. Hands-on experience with real-time systems, multi-tenant architectures, and microservices. Experience building platforms that serve millions of daily active users at scale. Familiarity with Swiggy s technology stack (e.g., Redis, Kafka, AWS, MySQL, NoSQL, Kubernetes) is a plus. Knowledge of machine learning and predictive modeling is a strong advantage. Strong analytical, problem-solving, and communication skills. This is a high-impact, high-ownership opportunity to influence core customer-facing systems in one of India s largest tech-first consumer platforms. You will be working with world-class engineers and leaders, solving complex challenges, and contributing to a product used by millions every day. Equal Employment Opportunity Swiggy is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of race, religion, gender, sexual orientation, age, disability, or any other legally protected characteristics.

Job Title: Software Development Engineer (SDE) Location: Bengaluru Company: LoadShare Networks About LoadShare Networks LoadShare is building India s largest intra-city logistics marketplace. Founded in 2017, we re a Series C startup backed by top-tier investors including Tiger Global, Matrix Partners, BII, Stellaris, BeeNext, and Filter Capital. Our technology-driven platform supports a wide range of intracity logistics services from Quick Commerce (Blinkit, Zepto, BBNow), Food Delivery (Swiggy, Zomato), and Hyperlocal (Apollo, Licious), to Grocery (Reliance, Spencers, ONDC), eCommerce (Flipkart, Amazon, Meesho, ShipRocket), and Bike Taxi (Uber, Ola). Scale: Over 500,000 last-mile orders delivered daily across 500+ towns via a fleet of 20,000+ riders. Technology: Our intelligent systems optimize fleet usage across categories by syncing with demand patterns. Our SaaS platform powers more than 1 million daily shipments across the supply chain. Role Overview We are looking for a Software Development Engineer (SDE) to join our team in Bengaluru. You will be responsible for independently developing new features, enhancing existing functionality, and solving complex engineering challenges at scale. This role involves end-to-end ownership of user stories, and close collaboration with product managers, designers, and other engineers. Key Responsibilities Own the full lifecycle of assigned features from design to deployment. Write clean, scalable, and high-performance code. Innovate on complex problems with efficient, creative solutions. Contribute to the design and architecture of LoadShare s backend systems. Collaborate with cross-functional teams to deliver high-impact features. Act as a go-to expert in key areas of the codebase. Identify and proactively reduce technical debt. Mentor junior engineers and participate in code reviews. Key Result Areas Timely Delivery: As per plans defined by the POD lead. Engineering Velocity: Consistent feature throughput. Quality of Output: Minimal defects in QA and production Optimized performance in production environments Code Quality: Follows architecture and best coding practices. Requirements B.E./B.Tech in Computer Science or a related field. 2 4 years of software development experience. Strong programming skills in Java, with a focus on multi-threading and performance. Solid foundation in data structures, algorithms, and concurrency. Experience with databases: PL/SQL, RDBMS, and familiarity with Cassandra, Redis, Elasticsearch. Hands-on experience with AWS for deploying and maintaining services. Experience with microservices architecture and scalable systems. Ability to debug, optimize, and resolve production issues efficiently. Strong collaboration and communication skills. Qualification : B.E./B.Tech in Computer Science or a related field.

Job Title: Senior Software Engineer Role Overview: The Senior Software Engineer is responsible for the design, development, maintenance, and optimization of software applications and solutions. This role involves applying scientific methods to solve complex software engineering challenges while driving innovation and industrialization. The ideal candidate is a highly experienced professional with strong leadership skills, capable of making strategic decisions, mentoring teams, and managing challenging technical and business environments. Key Responsibilities: Software Development & Engineering: Lead the design, development, and implementation of high-quality, scalable, and efficient software solutions. Apply scientific methods to analyze and solve complex software engineering problems. Drive best practices in software architecture, coding, and system optimization. Innovation & Thought Leadership: Stay at the forefront of technology trends and industry innovations. Promote industrialization and automation in software development. Implement cutting-edge tools, frameworks, and methodologies to improve efficiency and performance. Project & Business Strategy: Align software development with business objectives and client needs. Take full responsibility for critical projects, ensuring delivery within timelines and quality standards. Consider the bigger picture when making key technical and business decisions. Demonstrate strong commercial acumen and negotiation skills in complex situations. Collaboration & Stakeholder Management: Build and maintain long-term partnerships with clients and stakeholders. Work closely with cross-functional teams to ensure seamless project execution. Act as a trusted advisor in technical, business, and strategic discussions. Leadership & Mentorship: Provide guidance, mentorship, and training to software engineering teams. Play an active role in the recruitment and development of talent. Lead by example, fostering a culture of excellence, collaboration, and innovation. Required Skills & Competencies: Extensive experience in all phases of the software development lifecycle. Proven expertise in software design, development, and optimization. Strong problem-solving, decision-making, and analytical abilities. Ability to manage complex projects and challenging environments with professionalism. Demonstrated leadership balancing business, technical, and people objectives. Excellent communication, negotiation, and client management skills. This is a strategic role for an experienced software engineer who can drive technical excellence, business success, and team growth within Capgemini.

Job Title: Senior Technical Lead Software Engineering General Summary: Qualcomm Technologies Inc., a global leader in Snapdragon SoCs, is the largest provider of chipset solutions for Microsoft Windows on Snapdragon products. As part of our commitment to developing next-generation solutions, we seek a highly skilled Senior Technical Lead Software Engineering to drive innovation and excellence in our compute platform solutions. The ideal candidate is a self-motivated leader with excellent verbal and written communication skills and a proven ability to collaborate with engineers, partners, and customers across geographies. This role requires experience working with senior management in a corporate environment and the ability to take a hands-on technical leadership approach, diving into technical details and problem-solving as needed. Key Responsibilities: Software Development & Validation: Lead driver development and validation for compute platforms consisting of ARM cores, GPUs, and DSPs. Perform smoke testing, test scenario development, and issue troubleshooting to ensure product reliability and quality. Provide technical guidance and mentorship to software engineering teams. Collaboration & Stakeholder Engagement: Interface with cross-functional development and test teams, ensuring effective communication and seamless execution. Collaborate with OEMs for feature updates, over-the-air (OTA) updates, and test plan development. Drive large-scale software validation efforts across Windows, Linux, Android, and Integrity platforms. Data Analysis & Performance Optimization: Utilize big data tools and platforms to manage and analyze large datasets for software performance improvement. Optimize and validate multimedia drivers across audio, video, camera, display, and graphics components. Technical Expertise & Innovation: Demonstrate strong familiarity with ARM architecture and a solid understanding of CPU, GPU, and NPU architectures. Develop and optimize software using C, C++, Python, and other programming languages. Leverage tools like Power BI for data-driven decision-making. Minimum Qualifications: Bachelor s degree in Engineering, Information Systems, Computer Science, or a related field with 18+ years of Software Engineering experience. OR Master s degree with 15+ years of experience. OR PhD with 12+ years of experience. 2+ years of experience with programming languages such as C, C++, Java, Python, etc. Preferred Qualifications: 9-12 years of experience in driver development, validation, and compute platform software engineering. Proven experience in leading large teams responsible for software validation and development. Hands-on experience with multimedia/embedded applications and driver validation on Windows, Linux, Android, or Integrity platforms. Experience managing and analyzing large datasets using big data tools and platforms. Familiarity with ARM architectures, CPU/GPU/NPU architecture. Strong analytical, debugging, and troubleshooting skills for large-scale software systems. Be part of a pioneering team that develops cutting-edge solutions for Windows on Snapdragon. Work in a collaborative and innovation-driven environment with top industry professionals. Enjoy competitive compensation, career growth opportunities, and access to cutting-edge technologies.

Applied AI Engineering Team: Solution Architect AgentOS Platform At DevRev, the Applied AI Engineering team plays a crucial role in ensuring that our customers derive the maximum value from our platform. As customers progress through their DevRev journey, they may identify opportunities to integrate with existing enterprise systems, automate workflows, or enhance DevRev's platform capabilities to achieve their business goals. Our team works closely with customers to understand their requirements, designing, developing, and implementing solutions that meet those objectives. Position Overview: We are seeking a highly skilled Architect to lead the design and implementation of custom solutions on our AgentOS platform. In this pivotal role, you will serve as a bridge between business requirements and technical solutions, utilizing your expertise to deliver scalable, robust, and high-performing applications. You will collaborate with cross-functional teams including engineering, product management, and customer stakeholders to ensure that our solutions meet customer needs and drive long-term business success. Key Responsibilities: Design and develop comprehensive technical solutions that align with customer requirements and business goals, ensuring seamless integration with the AgentOS platform. Work closely with customers and internal stakeholders to gather and understand their needs, offering expert guidance on solution feasibility and technical implementation. Lead the architecture and technical design for customer projects, ensuring that all solutions are scalable, robust, and adhere to industry best practices. Oversee the integration of solutions with customer systems and third-party services, ensuring optimal functionality and performance. Create and maintain detailed architectural documentation, including solution designs, system flow diagrams, and technical specifications. Collaborate with engineering teams to ensure the successful implementation of designs and provide guidance throughout the development lifecycle. Stay up to date with emerging technologies and industry trends, integrating relevant advancements into solutions to enhance their functionality and competitiveness. Support pre-sales and partner teams in defining technical requirements for new opportunities, providing input on solution feasibility and estimating project effort. Ensure that all solutions meet stringent quality standards, while adhering to security, compliance, and performance requirements. Qualifications: 8+ years of experience in solutions architecture or a similar role, with a proven track record of designing and implementing complex, scalable solutions. Expertise in Gen AI, cloud technologies, and integration patterns. Hands-on experience with TypeScript, JavaScript, Python, and relevant frameworks is required. Strong problem-solving skills, with the ability to analyze and address technical challenges effectively. Excellent interpersonal and communication skills, with the ability to convey complex technical concepts clearly to non-technical stakeholders and customers. Experience managing multiple projects and deliverables concurrently, with proficiency in project management methodologies and tools. A proven track record of delivering customer-focused solutions and providing exceptional customer service. Experience in SaaS, enterprise software, or platform-centric environments is highly preferred. A Bachelor s degree in Computer Science, Engineering, or a related field is required. An advanced degree or relevant certifications in technologies or architecture frameworks is a plus. Culture: At DevRev, our culture is rooted in the principles of hunger, humility, honesty, and heartfelt action. We are committed to helping build the world s most customer-centric companies by empowering engineers to better connect with their customers. Our mission is to leverage design, data engineering, and machine intelligence to enable our customers to thrive in an ever-evolving technological landscape. Qualification : A Bachelors degree in Computer Science, Engineering, or a related field is required. An advanced degree or relevant certifications in technologies or architecture frameworks is a plus.

Job Overview: As a Software Engineering Technical Leader in Arm IT, you will be responsible for our many of our custom digital applications. Your role is pivotal in driving the strategic roadmap and operational performance of customised solutions, initiatives and services. You are expected to balance technical proficiency, team leadership and a good understanding of full stack software development. This role is based 100% in Bengaluru in India, occasional international travel may be required for company events, special team meetings and / or workshops. Responsibilities: Lead the technical implementation of business requirements whilst keeping the application quality high. Empower team members, foster a positive work atmosphere, and keep the team engaged and committed to team objectives. Nurture professional growth of team members through regular mentoring, coaching, and feedback. Required Skills and Experience: As with anyone leading a technical team, a strong combination of technical knowledge and experience as a line manager is needed. You will have at least a B. Tech in computer science, engineering, or a related field, with at least 8 years of proven experience, 5 years in a leadership role, of which 2 years of line management and running successful technical teams. You should expect to occasionally facilitate incident resolution and service restoration during P1 / P2 incidents, ensuring robust support levels and smooth user experience is always maintained. You have robust DevOps project management and delivery skills, with a verifiable history of delivering software projects. We are looking for someone with a solid technical background with the following technologies: Significant commercial experience with .Net. Single Page Applications (SPAs) using frameworks like React, Next.js or Vue.js including state management. Databases like MongoDB, SQL Server, MySQL, PostgreSQL, Cosmos DB. Continuous Integration & Deployment tools like Jenkins, Azure DevOps and Terraform. Containerization with Docker and orchestration with Kubernetes. Cloud platforms such as Azure and AWS and their recommended practices. Nice To Have Skills and Experience: Professional experience with an Enterprise level CMS! Have worked with integrating SaaS products into a customer-facing digital experience Risk Management: Identify potential project, delivery and operational risks early, evaluate their impact, and implement strategies to mitigate them! In Return : Arm s hybrid approach to working is centred around flexibility, where we split our time between the office and other locations to get our work done. Within that framework, we empower groups and teams to determine their own particular hybrid working pattern, depending on the work and the team s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. #LI-KR2 Accommodations at Arm At Arm, we want our people to Do Great Things. If you need support or an accommodation to Be Your Brilliant Self during the recruitment process, please email [email protected]. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Hybrid Working at Arm Arm s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.