Senior Java AWS Developer

Job Description

Job Description

Title: Java AWS Developer
Location: Irvine, CA
Rate: $52/hr
Duration: 12 Months

Job Details:
Skillsets:
" 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)

Techstack:

• 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)