Lead AWS Application Developer (EPAM SISTEMOS, UAB)
Darbdavys: EPAM SISTEMOS, UAB
Miestas: Latvija
Paskelbta: 2026-10-17
💶 4500 - 6300 €/mėn. Prieš mokesčius · visa darbo diena · nuotolinis darbas: taip · paskelbta 2026-10-02
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Job description:
We are looking for a hands-on Lead AWS Application Developer to help shape a greenfield internal developer platform from the ground up — one that enables AI-native engineering across the organization, with agents as first-class developers, built-in automation and governance, and a fast, safe path from idea to production. This is a build role close to the code, where the systems and patterns you create become the foundation every engineering team builds upon, making other engineers faster and bringing AI-native engineering within reach for the entire org.
Feel free to work remotely from anywhere across Latvia or connect with colleagues at our Riga office.
Define how applications should be built well and encode that knowledge as reusable patterns and quick starts for other engineering teams
Build production APIs and services using Python and FastAPI
Develop cloud-native applications and developer tooling on AWS, focusing on delivery platforms and developer workflows
Design and maintain infrastructure as code using Terraform
Drive engineering work using AI coding harnesses and agents, applying spec-driven development practices
Integrate AWS serverless and event-driven services, including Lambda, API Gateway, and Step Functions
Automate CI/CD, SDLC, and engineering controls using GitHub Actions, IaC, and automated evidence capture
Turn policy and regulatory requirements into code and evidence by building automated governance, compliance, and operational controls into delivery pipelines
Apply deterministic scripted checks and agentic applications where judgment-based reasoning is required
Maintain strong engineering practices across API design, automated testing, observability, documentation, and secure-by-default delivery
Operate independently in a fast-moving program and contribute value from early on
Requirements:
5+ years of application-development experience with enough real-world depth to define best practices and encode them as patterns for other engineers
Proficiency in Python and FastAPI for building production APIs and services
Strong AWS application development and software engineering experience, ideally with developer tooling, delivery platforms, or cloud-native developer workflows
Skills in Terraform for infrastructure as code
Familiarity with AI-assisted engineering practices, including daily use of coding harnesses/agents and spec-driven development
Knowledge of AWS serverless and event-driven services such as Lambda, API Gateway, and Step Functions, and how to integrate them
Experience automating CI/CD, SDLC, and engineering controls using GitHub Actions and IaC with automated evidence capture
Background in building automated governance, compliance, or operational controls into delivery pipelines, turning policy and regulatory requirements into code and evidence
Competency in both deterministic scripted checks and agentic applications that reason over judgment-based problems
Understanding of good engineering practice…
We are looking for a hands-on Lead AWS Application Developer to help shape a greenfield internal developer platform from the ground up — one that enables AI-native engineering across the organization, with agents as first-class developers, built-in automation and governance, and a fast, safe path from idea to production. This is a build role close to the code, where the systems and patterns you create become the foundation every engineering team builds upon, making other engineers faster and bringing AI-native engineering within reach for the entire org.
Feel free to work remotely from anywhere across Latvia or connect with colleagues at our Riga office.
Define how applications should be built well and encode that knowledge as reusable patterns and quick starts for other engineering teams
Build production APIs and services using Python and FastAPI
Develop cloud-native applications and developer tooling on AWS, focusing on delivery platforms and developer workflows
Design and maintain infrastructure as code using Terraform
Drive engineering work using AI coding harnesses and agents, applying spec-driven development practices
Integrate AWS serverless and event-driven services, including Lambda, API Gateway, and Step Functions
Automate CI/CD, SDLC, and engineering controls using GitHub Actions, IaC, and automated evidence capture
Turn policy and regulatory requirements into code and evidence by building automated governance, compliance, and operational controls into delivery pipelines
Apply deterministic scripted checks and agentic applications where judgment-based reasoning is required
Maintain strong engineering practices across API design, automated testing, observability, documentation, and secure-by-default delivery
Operate independently in a fast-moving program and contribute value from early on
Requirements:
5+ years of application-development experience with enough real-world depth to define best practices and encode them as patterns for other engineers
Proficiency in Python and FastAPI for building production APIs and services
Strong AWS application development and software engineering experience, ideally with developer tooling, delivery platforms, or cloud-native developer workflows
Skills in Terraform for infrastructure as code
Familiarity with AI-assisted engineering practices, including daily use of coding harnesses/agents and spec-driven development
Knowledge of AWS serverless and event-driven services such as Lambda, API Gateway, and Step Functions, and how to integrate them
Experience automating CI/CD, SDLC, and engineering controls using GitHub Actions and IaC with automated evidence capture
Background in building automated governance, compliance, or operational controls into delivery pipelines, turning policy and regulatory requirements into code and evidence
Competency in both deterministic scripted checks and agentic applications that reason over judgment-based problems
Understanding of good engineering practice…