Lead Engineer - Platform

About Chubb Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb employs approximately 40,000 people worldwide. Additional information can be found at: www.chubb.com . About Chubb India At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work® for the third consecutive year, a reflection of the culture at Chubb where we believe in fostering an environment where everyone can thrive, innovate, and grow With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape. We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning. Position Details Job Title: Lead Engineer Function/Department: Technology Experience: 12–15 Years Location: Hyderabad Role Overview: As a Lead Engineer within our Ingestion Platform team here at Chubb, you will help rebuild how digital products are delivered to customers and partners worldwide. You will design and build the services, workflows, AI capabilities, and data pipelines that power that platform, and you will raise the technical bar for the engineers around you. As a key contributor on our team, you will own features end to end, from design through production, and who helps shape technical direction within your team. You will partner closely with architects, data scientists, product owners, and business stakeholders to deliver solutions in an insurance environment where reliability, privacy, security, and regulatory discipline are just as important as speed. With us, you will have the opportunity to directly shape core platform decisions, architect and deliver systems that scale, helping to define how we build and operate digital experiences with greater intelligence, resilience, and precision. In this role, you will: Design and build scalable services and APIs with clear contracts, idempotency, retries, and failure isolation, and take features from user stories and acceptance criteria to production in an agile SDLC Contribute to design and architecture reviews, propose improvements to standards and tooling, and write clean, testable, observable code with strong unit, integration, and contract tests Integrate with internal systems and external partners through governed APIs, event streams, and webhooks, with schema versioning Build durable workflows and agentic AI features using tools like Temporal, Camunda, Step Functions, LangGraph, AutoGen, CrewAI, or the Claude Agent SDK, including human-in-the-loop steps, tool calling, MCP, and guardrails Evaluate and monitor AI features with prompt versioning, evaluation sets, tool-call accuracy, task success, cost, latency, and human review gates Build RAG, memory, ontology, and document capabilities, including ingestion, chunking, embeddings, vector and hybrid search, reranking, retrieval evaluation, and structured knowledge extraction Protect retrieval and AI inputs with document access control, PII/PCI redaction, and defenses against prompt injection, while following security, privacy, and regulatory requirements Build and maintain CI/CD pipelines, manage branching and release practices, review code thoroughly, keep pipelines healthy, resolve root causes, mentor engineers, and improve cloud-native automation where it helps Qualifications 12+ years of software engineering experience, including 3+ years building distributed, data-intensive or platform systems in production; knowledge of and/or experience with insurance processes, regulatory requirements and industry standards is a plus Bachelor's or Master's degree in Computer Science, Engineering or a related field (or equivalent experience) Strong programming in Python, Java, Scala or similar, and strong SQL, with experience of microservices, APIs and event-driven architecture on AWS, Azure or GCP; experience with Kubernetes, Docker, Terraform, and/or GitOps is a plus Solid distributed systems fundamentals: idempotency, retries and backoff, circuit breakers, consistency, structured logging, distributed tracing and correlation IDs; experience with Temporal, Camunda, AWS Step Functions, and/or Cadence is a plus Experience with streaming (Kafka, Kinesis or Event Hubs) and distributed data processing (Spark, Flink or Beam), and with data modelling for SQL and NoSQL stores; experience with Delta Lake, Iceberg, and data governance and/or metadata management is a plus Hands-on experience with LLM-based applications including at least one production or serious prototype using RAG (chunking, embeddings, vector search) or agents with tool calling; experience with LangGraph, AutoGen, CrewAI, Claude Agent SDK, MCP, and LLM evaluation and/or observability tools is a plus Working knowledge of ontologies or knowledge graphs, and of data science and ML basics (Python data stack, model evaluation, how models are deployed and monitored); experience with Neo4j, MongoDB, GraphDB, JSON-LD, SHACL, Cypher, SPARQL, and/or Gremlin is a plus Hands-on CI/CD experience building and maintaining Jenkins pipelines (Jenkins file, shared libraries) with automated test, scan and release stages, and Git workflows with pull requests; experience with SonarQube, dependency and container scanning, SAST/DAST, and/or Artifactory or Nexus is a plus Strong code review experience, both providing and receiving reviews, as well as applying standards for correctness, security, testing and readability Additional depth in AI/ML platforms such as Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic Claude API, MLflow, Azure Machine Learning, or SageMaker is a plus Why Join Us? Be at the forefront of digital transformation in the insurance industry. Lead impactful initiatives that simplify claims processing and enhance customer satisfaction. Work alongside experienced professionals in a collaborative, innovation-driven environment. Why Chubb? Join Chubb to be part of a leading global insurance company! Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results. Industry leader: Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence A Great Place to work: Chubb India has been recognized as a Great Place to Work® for the years 2023-2024, 2024-2025 and 2025-2026 Laser focus on excellence : At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being. We constantly seek new and innovative ways to excel at work and deliver outstanding results Start-Up Culture : Embracing the spirit of a start-up, our focus on speed and agility enables us to respond swiftly to market requirements, while a culture of ownership empowers employees to drive results that matter Growth and success : As we continue to grow, we are steadfast in our commitment to provide our employees with the best work experience, enabling them to advance their careers in a conducive environment Employee Benefits Our company offers a comprehensive benefits package designed to support our employees’ health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, and robust health coverage, including treatment for dental and vision related requirements. We invest in the future of our employees through continuous learning opportunities and career advancement programs, while fostering a supportive and inclusive work environment. Our benefits include: Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease that help employees optimally plan their finances Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs. Health and Welfare Benefits: We care about our employees’ well-being in and out of work and have benefits like Hybrid Work Environment, Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits. Application Process Our recruitment process is designed to be transparent, and inclusive. Step 1 : Submit your application via the Chubb Careers Portal. Step 2 : Engage with our recruitment team for an initial discussion. Step 3 : Participate in HackerRank assessments/technical/functional interviews and assessments (if applicable). Step 4 : Final interaction with Chubb leadership. Join Us With you Chubb is better. Whether you are solving challenges on a global stage or creating innovative solutions for local markets, your contributions will help shape the future. If you value integrity, innovation, and inclusion , and are ready to make a difference, we invite you to be part of Chubb India’s journey . Apply Now : https://www.chubb.com/emea-careers/