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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Java AWS Developer - **Company:** Diverse Lynx LLC - **Location:** Irvine, CA, United States - **Experience:** Expert - **Salary:** $108,160.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Adobe Experience Manager, Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon S3, Cloud Computing, Code Generation, Code Review, Continuous Integration, Extract Transform Load (ETL), Data Structures, Database Queries, Programming Tools, Distributed Systems, Middleware, Identity and Access Management, JSON, Job Scheduling, Python (Programming Language), Object-Oriented Software Development, Systems Development Life Cycle, Microsoft Copilot, Software Engineering, Test Case, Datadog, Scripting, GitHub Copilot, Large Language Models, Claude Code, Multi-Agent Systems, Prompt Engineering, Spring-boot, Test Scripts, Kubernetes Helm Charts, AWS Lambda, AI Coding Agents, Backend, Cloudformation, Functional Programming, Osgi, Cloudwatch, Api Gateway, Restful APIs, Cloud Application Development, Splunk, Api Management, Serverless Computing, Human in the Loop - **Published:** October 26, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-java-aws-developer-irvine-ca--9857f184-3204-497f-a9d4-41946b924e0a ## About the Role Java, Software Engineering, Amazon Web Services (AWS), Java, Amazon Web Services (AWS), Software Engineering, Software Development, Python Programming/Scripting Language, Cloud Applications, AWS Lambda, * 8+ years'' experience in software development using Java, Springboot, Python and cloud application development * Experience in Lambda function application development * Thoughtful in approach to software engineering practices and should enable a future-ready, high quality, and responsive code base * A strong understanding of Java programming * A strong understanding of relational databases and SQL queries, Aurora DB desired * Knowledge in Data structures, OOPs concepts, json/DB modeling * A strong understanding and use of stateless asynchronous Restful API patterns * Experience implementing AWS, Kubernetes CI/CD structures * Hands-on experience with core AWS services (Lambda, API Gateway, S3, Glue, IAM, CloudFormation/CDK) for building and deploying serverless and ETL workloads * Experience with AWS monitoring and observability tools (CloudWatch Logs, Metrics, Alarms, Dashboards) for tracking application health and performance * Working knowledge of Splunk for log aggregation, SPL query writing, and troubleshooting production issues across distributed systems * Experience with Datadog for APM tracing, custom metrics, dashboards, and monitor/alert configuration to proactively detect service degradation * Ability to correlate logs and metrics across AWS CloudWatch, Splunk, and Datadog to perform root cause analysis during incidents * Able to define, document and communicate, middleware and back-end architectures * Clear communicator (written and verbal) * Ability to focus on deadlines and deliverables * Knowledge and understanding of Software development and Agile development and methodologies * Agile mindset and passion for designing product user experiences enable rapid business growth * Consultant thinker with ability to propose solution Eligible to workions Nice to Have: * Domain knowledge in Asset Management / Investment Management (portfolio positions, holdings, disclosures, fund/account structures) * Experience with Adobe Experience Manager (AEM), including OSGi console, backend components/services, and Sling models * Exposure to agentic development practices, using AI coding agents (e.g., GitHub Copilot agent mode, Claude Code) to autonomously plan, implement, and validate multi-step engineering tasks * Experience with AI-driven testing, including LLM-based test case generation, automated defect triage, self-healing test scripts, and AI-assisted code review * Familiarity with prompt engineering and orchestrating multi-agent workflows for software delivery (e.g., agent-driven code generation, review, and PR creation pipelines) * Understanding of responsible AI usage in SDLC, including human-in-the-loop review, guardrails, and validation of AI-generated code/tests before production use * Familiarity with financial data platforms and ETL for regulatory/disclosure reporting * Knowledge of container orchestration tooling beyond basics (Helm charts, service mesh concepts) * Exposure to feature flagging and progressive delivery practices (e.g., Harness Feature Flags) ## Description * API Platform * API Gateway + Java Lambdas * ETL Platform * AWS * Glue for Job Scheduling and Loading * ETL scripts (orchestrated by Glue) * Observability and Monitoring * AWS CloudWatch (Logs, Metrics, Alarms, Dashboards) * Splunk (log search, SPL, saved searches) * Datadog (APM, monitors, dashboards, log/metric exploration) * Nice to Have Tech * Adobe Experience Manager (AEM), backend/OSGi * AI coding agents and agentic dev tools (e.g., Copilot agent mode, Claude Code) * Harness (CI/CD, feature flags)