Lead Software Developer - Java with AWS Cloud
Role Overview
Combine technical leadership with hands-on engineering across Java services and AWS cloud-native microservices.
Help the team deliver governed REST APIs and integrated front-end capabilities while improving architecture and quality.
Key Skills for This Role
Full Job Posting
Role overview
Combine technical leadership with hands-on engineering across Java services and AWS cloud-native microservices.
Help the team deliver governed REST APIs and integrated front-end capabilities while improving architecture and quality.
Responsibilities
- Own delivery and accountability for the team's technology solutions.
- Drive technical decisions through thought leadership and guidance.
- Remove technology obstacles from discovery through release.
- Collaborate with architects and the CTO organization to follow governance and best practices.
- Incorporate functional and non-functional requirements into high-quality solutions.
- Contribute improvements to designs, architectures, and frameworks.
- Validate data models, API contracts, architecture, frameworks, and code quality.
- Help estimate work, plan delivery, set priorities, and map dependencies.
- Foster collaboration across teams and key stakeholders.
- Apply hands-on AWS cloud-native microservices expertise to delivery.
Requirements
- 8+ years designing and delivering front-end applications, microservices, and REST APIs.
- Strong Java, Node.js, and Spring Boot expertise spanning APIs and microservices.
- In-depth AWS service experience, including ECS, Lambda, DynamoDB, SQS, and CloudWatch.
- Working knowledge of DynamoDB and Aurora.
- Practical Agile methodology and API testing skills.
- Experience with monitoring tools such as Splunk.
- Strong client-facing communication and presentation abilities.
- Ability to work precisely in ambiguous situations, lead collaboratively, and clarify technical uncertainty.
Technologies and preferred experience
- Backend technologies include Java, Node.js, Spring Boot, microservices, and APIs.
- Cloud technologies include AWS, ECS, Lambda, SQS, and CloudWatch; databases include DynamoDB and Aurora.
- Splunk and API testing tools are listed technologies.
- Python is optional; cloud-native data pipeline experience is a nice to have.
- Connecting business acumen with API economy is a nice to have.
Benefits and development
- Access to self-development, online university, global knowledge sharing, and external certification learning opportunities.
- Sponsored tech talks and hackathons, LinkedIn Learning, and focused individual development.
- Health, retirement, paid time off, and flexible benefits.
- Possibility of relocating to an EPAM office for short- or long-term projects.
- Employee forums for interests such as CSR, photography, painting, and sports.
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