
Lead Java AWS Developer - 401
- |10 years of exp
- |Contract
In office - WFH flexibility
Not Available
About the job
Open for Remote candidates as well
Position’s Contributions to Work Group:
Provides technical leadership and delivery ownership for a team of software engineers building and operating scalable cloud-native applications on AWS.
Drives architecture decisions, engineering best practices, and solution design across Spring Boot microservices, OpenSearch platforms, CI/CD, observability and AWS infrastructure.
Collaborates with product, architecture, and platform teams to deliver secure, resilient, and high-performing solutions while mentoring engineers, improving development processes, and ensuring successful execution of business objectives.
Typical task breakdown:
Leads software engineers in delivering business-critical applications.
Establishes technical direction and architectural standards.
Drives AWS cloud adoption and modernization initiatives.
Ensures solution scalability, performance, security, and reliability.
Promotes DevOps, CI/CD, automation, and AI-assisted development practices.
Supports incident resolution, operational excellence, and continuous improvement.
Interaction with team:
Mentors’ engineers and develop technical talent.
Partners with Product Owners, Architects, and stakeholders to align technology investments with business goals.
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Work environment:
Chicago office but the role can be 100% remote but there will be travel involved when needed so we want local candidates.
Education & Experience Required:
Bachelor’s degree is a must
10+ years’ experience in this capacity with 5+ years in a lead role.
Required Technical Skills
- Java (latest would be ideal) , Spring Boot, Microservices, REST APIs, AWS (ECS/Fargate, IAM, ALB, RDS, CloudWatch, Secrets Manager), OpenSearch/Elasticsearch, Docker, CI/CD, GitHub, Distributed Systems, Cloud Architecture, Observability, DevOps, Infrastructure as Code, SQL/NoSQL databases, Event-Driven Architecture, API Integration, Performance Optimization, and AI-assisted Development Tools.
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Soft Skills
- Strong technical leadership, communication, stakeholder management, mentoring and coaching, collaboration, problem solving, critical thinking, decision making, ownership, conflict resolution, adaptability, and the ability to influence cross-functional teams while driving successful delivery of complex cloud-native solutions.
About the company
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