
Amazon Cloud Native Python Developer
Primary stack
Job description
About the Position
We are seeking an experienced Amazon Cloud Native Python Developer to join our team working on an internally developed, event-driven platform built on AWS serverless technologies. This role is ideal for an engineer experienced in event-driven systems built on AWS integration tools, or an Operations expert skilled in AWS, DynamoDB, and OpenSearch.
Responsibilities
- Work independently with minimal supervision
- Make sound technical decisions and justify trade-offs
- Navigate and contribute to complex distributed systems
- Influence architectural direction, not just implement requirements
- Design, build, and maintain event-driven services running on AWS serverless infrastructure
- Contribute to architectural decisions and document design choices
- Develop and maintain infrastructure using Infrastructure as Code
- Ensure reliability, scalability, and operational excellence across services
- Write and maintain automated end-to-end tests
- Collaborate with other engineers to evolve platform capabilities and engineering standards
Requirements
- 6+ years of relevant professional experience with Python as a primary development language
- Solid understanding of AWS architecture, including VPCs, networking fundamentals, and multi-account environments
- Knowledge of AWS security, operational best practices, and how AWS services integrate within larger systems
- Hands-on experience with AWS Lambda, event-driven application design, and production operation of serverless workloads
- Expertise in messaging and integration patterns, with experience designing and operating systems using EventBridge, SQS, and SNS
- Understanding of asynchronous communication patterns and distributed system design principles
- Proficiency in Infrastructure as Code using AWS CDK, ideally in TypeScript (application code is primarily Python; infrastructure is defined in TypeScript)
- Deep operational and architectural expertise in DynamoDB, including single-table design, access-pattern-driven modelling, and GSIs/LSIs
- Competency in DynamoDB capacity planning and capacity modes, Streams, and TTL
- Skills in DynamoDB Point-in-Time Recovery (PITR), operational monitoring, and troubleshooting beyond basic CRUD operations
- Strong understanding of distributed data consistency, including ACID vs. BASE trade-offs, eventual consistency, and implications of consistency models in DynamoDB and event-driven architectures
- Background in designing and operating event-driven microservice architectures, covering service boundaries, event contracts, failure handling, and scalability/resiliency
- Capability to evaluate multiple design approaches, make informed architectural decisions, and drive technical direction independently while clearly communicating and documenting trade-offs
- Experience with automated testing strategies, including end-to-end testing, with familiarity with BDD frameworks such as Behave being highly desirable
- Qualifications in data modelling and validation using JSON Schema, Pydantic, or similar frameworks
- Excellent command of written and spoken English (B2+ level)
Nice to Have
- OpenSearch development and operational experience
- Skills in application profiling and memory optimization
- Background in monitoring and operating high-volume, mission-critical systems
- Expertise in API design and implementation
- Familiarity with GraphQL
We Offer
- Hybrid work model in Latvia or Lithuania
- Opportunity to work on cutting-edge AWS serverless technologies
- Collaborative and innovative team environment
- Professional growth and development opportunities
About the Company
EPAM Systems is a global software engineering and product development company that partners with the world’s leading brands to deliver high-quality software solutions. We are committed to fostering a culture of innovation, collaboration, and excellence.
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EPAM helps organizations innovate their business processes and rethink the way they manage their businesses so they can remain competitive in this new digital age.
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