AWS Cloud-Native Engineering Manager

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

• Bachelor's Degree in Computer Science or similar field; Master's degree in Computer Science preferred
• 5+ years of work experience, including 5+ years designing and developing front-end applications, microservices, and REST APIs
• Hands-on technology leadership experience in full-stack development or with most of the technologies listed in the tech stack
• Experience in agile methodology
• Proficiency in Java, Node.js, Angular, and TypeScript
• Expertise in Java, SpringBoot, microservices, and API development
• Skills in AWS services including EC2, S3, Lambda, Kinesis, Firehose, DynamoDB, EKS, and CloudWatch
• Knowledge of DynamoDB, PostgreSQL, and DB2 (legacy)
• Familiarity with Python, Splunk, Cucumber, and API testing tools
• Understanding of AWS Cloud Native microservices architecture
• Expertise in the API economy with strong business acumen
• Excellent communication, presentation, and client-facing skills, with strong organizational abilities and attention to detail

• Take ownership and accountability for technology solutions and output delivered by the team
• Provide technology thought leadership and assist the team in making the right decisions
• Remove technology-related obstacles throughout the project lifecycle
• Work with other architects, the CTO organization, and ensure technology governance and best practices are followed
• Understand functional and non-functional requirements and quality attributes, and build solutions that address them
• Contribute to and improve architecture and design
• Build, review, and ensure quality of data models, API contracts, architecture, framework, and code
• Assist in effort estimation, planning, prioritization, and dependency identification
• Manage all technology artifacts
• Analyze legacy applications and define target state design and architecture
• Collaborate with other teams at client's Database, CTO organization, API Economy team, and similar groups