Top Tech Jobs & Startup Jobs in Prague

Develop and optimize algorithms for battery and renewable energy projects, analyze market data trends, and ensure algorithm performance.

Manual and automated QA for Pod releases: run local/staging environments, submit transactions, verify APIs/receipts/state, reproduce and report bugs, write end-to-end and headless browser tests, and build release checklists and automation.

The role involves optimizing mobile telecommunications networks using proprietary tools and conducting KPI analysis, troubleshooting, and customer collaboration to enhance network performance and efficiency.

As a Backend Software Engineer, you'll design scalable backend systems, optimize database performance, and collaborate with front-end and DevOps teams.

The Technical Sales Development Representative identifies and qualifies automation opportunities in manufacturing, facilitating connections with vision-guided robotics solutions. Responsibilities include outreach, conducting discovery conversations, and preparing opportunity briefs for the sales team.

Partner with Account Executives to present Arize's GenAI observability platform, lead technical demos and discovery, design and run PoCs, advise on GenAI/LLM best practices, handle technical objections, and build relationships with technical and business stakeholders across prospective customers.

Manage and automate mainframe systems, perform z/OS automation conversions, develop REXX programs, integrate automation with monitoring and ITSM tools, implement GDPS/Hyperswap, handle upgrades, and design disaster recovery/high-availability processes. Collaborate with stakeholders and support modernization and hyperscaler integrations.

Design, develop, execute, and maintain automated test scripts and suites using Tricentis Tosca, Playwright, and Claude Code. Perform functional, integration, regression, API (REST/SOAP), and performance testing, validate data via SQL, log and track defects in Jira/Azure DevOps, integrate tests into CI/CD, and collaborate with development and business teams to ensure end-to-end test coverage and quality.

Design, build, and scale high-performance data pipelines and infrastructure (ingestion, transformation, storage, modeling, serving) using ClickHouse, Postgres, Python and dbt. Manage data quality, reliability, and observability at terabyte and 500M+ address scale, collaborate with researchers and product, mentor engineers, and leverage AI tools to accelerate work.

Lead end-to-end architecture for enterprise data, analytics, and AI in a Microsoft-first environment. Translate business needs into secure, scalable designs, prototype and guide delivery teams, ensure governance, security, and production readiness, and enable enterprise AI (Azure OpenAI, RAG) and BI (Power BI) solutions.