Amazon Cloud Native Python Developer

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. The team owns the architecture, infrastructure, and end-to-end testing strategy, so engineers are expected to work effectively within an established codebase and set of engineering conventions rather than focusing solely on greenfield development.

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

Benefits

• Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years.
• Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies.
• World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact.
• Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices.
• GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys.
• Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life.
• Hybrid Setup: The flexibility to work from any location in Latvia, whether it's your home or our office in Riga.
• Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more.

• Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
• Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
• World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
• Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
• GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
• Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
• Hybrid Setup: The flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas
• Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more