Senior Java Developer

Staffworxs•Chicago, IL
•Remote

About The Position

At Staffworxs, we don't just connect talent — we power transformation. Headquartered in Frisco, TX, with teams in Bengaluru and Hyderabad, we combine global reach with deep expertise. Our Digital & Data Analytics practice drives growth and innovation for some of the world's top brands, who continue to retain us as their trusted partner. If you're ready to make an impact, you're in the right place.

Requirements

  • 15+ years engineering enterprise Java platforms with hands-on mastery in modern Java (17/21), Spring Boot 3.x, and distributed cloud microservices.
  • 2+ years driving end-to-end technical direction and direct delivery ownership for teams of engineers within enterprise-scale environments.
  • Production-proven architecture of high-throughput AWS workloads utilizing ECS/Fargate, ALB, RDS, Secrets Manager, and Infrastructure-as-Code (Terraform/Cloud Formation).
  • Hands-on implementation of enterprise search and indexing architectures using OpenSearch or Elasticsearch integrated into distributed pipelines.
  • Demonstrated track record implementing event-driven backbones (Kafka, AWS SQS/SNS) and API performance optimization under high-load conditions.
  • Experience embedding modern DevOps practices, automated CI/CD pipelines (GitHub Actions), observability (CloudWatch/OpenTelemetry), and AI-assisted engineering workflows.

Responsibilities

  • Hands-on implementation, design, and development of backend systems.
  • Utilizing Java, AWS, Spring Boot, Microservices, and OpenSearch.
  • Driving end-to-end technical direction and direct delivery ownership for teams of engineers within enterprise-scale environments.
  • Production-proven architecture of high-throughput AWS workloads utilizing ECS/Fargate, ALB, RDS, Secrets Manager, and Infrastructure-as-Code (Terraform/Cloud Formation).
  • Hands-on implementation of enterprise search and indexing architectures using OpenSearch or Elasticsearch integrated into distributed pipelines.
  • Implementing event-driven backbones (Kafka, AWS SQS/SNS) and API performance optimization under high-load conditions.
  • Embedding modern DevOps practices, automated CI/CD pipelines (GitHub Actions), observability (CloudWatch/OpenTelemetry), and AI-assisted engineering workflows.
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