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# Java Developer

- **Company:** Capgemini
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $130,000.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Continuous Integration, Disaster Recovery, Elasticsearch, Identity and Access Management, PostgreSQL, Performance Tuning, Software Engineering, System Availability, Spring-boot, Indexer, Event Driven Architecture, AWS Aurora, Apache Flink, Apache Kafka, Functional Programming, Cloudwatch, Restful APIs, Microservices
- **Published:** October 27, 2026
- **Apply:** https://www.capgemini.com/jobs/579342-en_US_SAPBTP/x/

## About the Role

10+ years in software engineering, with 3+ years in an architect or technical lead role. Hands-on production experience with Elasticsearch (indexing, query and relevancy tuning, cluster sizing), Apache Kafka (topic design, Kafka Connect, Schema Registry) and Apache Flink (state, checkpointing, windowing). Strong Java and Spring Boot, including microservices and event-driven design patterns.

Preferred (secondary)

AWS Aurora / PostgreSQL design and tuning. Python for data processing and automation. AWS services such as EC2, S3, Lambda, MSK, IAM and CloudWatch. Insurance (property and casualty) domain exposure; Agile / SAFe delivery experience. Strong written and verbal communication with technical and non-technical stakeholders.'

## Description

Design end-to-end streaming architecture: Kafka ingestion, Flink stateful processing, Elasticsearch search and serving layers. Set standards for Java Spring Boot microservices, REST APIs and event contracts (schemas, topics, partitioning, retries, replay). Define data models and indexing strategy for Elasticsearch, and data models for Aurora / PostgreSQL. Own non-functional design: scalability, high availability, security, observability, disaster recovery and cost on AWS. Review designs and code from offshore developers; unblock technical issues and mentor engineers. Partner with product owners, business analysts and QA to turn insurance business needs into technical solutions. Support CI/CD, performance tuning and production incident analysis.