We are looking for a Senior Software Engineer with strong hands-on development experience and an end-to-end ownership mindset.
The role is focused on solving real business and technical problems across the full software delivery lifecycle — from understanding requirements and designing a solution to implementation, testing, deployment, and production support.
A key part of the role is the practical use of GitHub Copilot and other AI-assisted engineering tools to accelerate development, understand existing codebases, improve testing, support troubleshooting, and increase delivery efficiency. All AI-generated outputs must be critically reviewed, validated, and tested before reaching production.
Details Start: ASAP / October 2026 Duration: Until the end of 2026, with expected extension into 2027 Allocation: Full-time Location: Remote, with occasional workshops in Prague Language: English
Responsibilities
Take ownership of technical problems from initial requirements through production delivery.
Design and develop backend services, APIs, integrations, and web applications.
Work across backend, frontend, cloud infrastructure, CI/CD, and production environments when required.
Quickly understand existing and legacy codebases and safely implement changes.
Use GitHub Copilot / LLM-based engineering tools for coding, refactoring, testing, debugging, documentation, and codebase analysis.
Review and validate AI-generated code and identify incorrect, insecure, or inefficient solutions.
Build reliable, maintainable, secure, and production-ready software.
Troubleshoot application, integration, infrastructure, and data-related issues.
Collaborate with Product Owners, architects, developers, testers, and operations.
Contribute to technical and architectural decisions and communicate technical trade-offs clearly.
Requirements
Strong hands-on experience in software engineering and production application development .
Strong backend development experience with Java / Spring Boot / Kotlin OR Python / FastAPI .
Experience with REST APIs, system integrations, and distributed applications .
Practical experience with GitHub Copilot, Cursor, Claude Code, or similar AI-assisted development tools .
Ability to critically review, test, and improve AI-generated code rather than relying on generated outputs without validation.
Experience with Docker, cloud environments, CI/CD, and production deployments .
Experience working with unfamiliar or legacy codebases.
Good understanding of software architecture, security, testing, maintainability, and production readiness.
Strong debugging and problem-solving skills.
Ability to work independently with incomplete or ambiguous requirements.
Strong English communication skills.
Nice to Have
Kubernetes / AKS / OpenShift.
Azure and GitHub Actions.
React / TypeScript.
Kafka, Azure Service Bus, or other asynchronous messaging technologies.
Observability tools such as Splunk, Grafana, OpenTelemetry, or similar.
Experience with RAG, vector search, AI agents, LangChain/LangGraph, MCP, or other GenAI solutions .
Experience with enterprise workflow, pricing, tender, logistics, or automation platforms.
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