Senior Software Engineer
Employer not yet confirmed · Jersey City, New Jersey, United States
As a Senior Software 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
- 8+ 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 isa 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
The pay range for the role is $150,000 to $205,000. The specific offer will depend on an applicant’s skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.