Senior Software Engineer
Chubb•Jersey City, NJ
•$150,000 - $205,000
About The Position
As a Senior Software Engineer on Chubb’s Ingestion Platform team, you will help rebuild how digital products are delivered to customers and partners worldwide. You will design and build platform services, workflows, AI capabilities, and data pipelines, own features from design through production, and help shape technical direction. You will collaborate with architects, data scientists, product owners, and business stakeholders to deliver reliable, secure, privacy-conscious, and compliant solutions for the insurance industry. The role offers the opportunity to influence core platform decisions and build scalable systems that support more intelligent, resilient, and precise digital experiences.
Requirements
- 8+ years of software engineering experience, including 3+ years building distributed, data-intensive, or platform systems in production.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- Strong programming skills in Python, Java, Scala, or a similar language, and strong SQL skills.
- Experience with microservices, APIs, and event-driven architecture on AWS, Azure, or GCP.
- Solid distributed systems fundamentals, including idempotency, retries and backoff, circuit breakers, consistency, structured logging, distributed tracing, and correlation IDs.
- Experience with streaming technologies such as Kafka, Kinesis, or Event Hubs and distributed data processing such as Spark, Flink, or Beam.
- Experience with data modeling for SQL and NoSQL stores.
- Hands-on experience with LLM-based applications, including at least one production or serious prototype using RAG or agents with tool calling.
- Working knowledge of ontologies or knowledge graphs, and data science and ML basics, including the Python data stack, model evaluation, and how models are deployed and monitored.
- Hands-on CI/CD experience building and maintaining Jenkins pipelines with automated test, scan, and release stages, and Git workflows with pull requests.
- Strong code review experience, both providing and receiving reviews, and applying standards for correctness, security, testing, and readability.
Nice To Haves
- Knowledge of or experience with insurance processes, regulatory requirements, and industry standards.
- Experience with Kubernetes, Docker, Terraform, or GitOps.
- Experience with Temporal, Camunda, AWS Step Functions, or Cadence.
- Experience with Delta Lake, Iceberg, data governance, or metadata management.
- Experience with LangGraph, AutoGen, CrewAI, Claude Agent SDK, MCP, and LLM evaluation or observability tools.
- Experience with Neo4j, MongoDB, GraphDB, JSON-LD, SHACL, Cypher, SPARQL, or Gremlin.
- Experience with SonarQube, dependency and container scanning, SAST/DAST, Artifactory, or Nexus.
- Additional depth in AI/ML platforms such as Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic Claude API, MLflow, Azure Machine Learning, or SageMaker.
Responsibilities
- Design and build scalable services and APIs with clear contracts, idempotency, retries, and failure isolation; deliver features from user stories and acceptance criteria through production in an agile SDLC.
- Contribute to design and architecture reviews, propose improvements to standards and tooling, and write clean, testable, observable code supported by unit, integration, and contract tests.
- Integrate internal systems and external partners through governed APIs, event streams, and webhooks, including schema versioning.
- Build durable workflows and agentic AI features, including human-in-the-loop steps, tool calling, MCP, and guardrails.
- Evaluate and monitor AI features using 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 controls, PII/PCI redaction, and prompt-injection defenses while meeting security, privacy, and regulatory requirements.
- Build and maintain CI/CD pipelines, manage branching and release practices, thoroughly review code, maintain healthy pipelines, resolve root causes, mentor engineers, and improve cloud-native automation where useful.
Benefits
- Comprehensive benefits package.
- May be eligible to participate in a discretionary annual incentive program.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
