Top Tech Jobs & Startup Jobs in Bursa

The role involves project coordination and community management, including recruiting evaluators, managing missions, and reporting project status.

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.

Identify and pursue new logistics business opportunities, build and maintain client relationships, prepare proposals and negotiate contracts, collaborate with operations for delivery, monitor sales pipeline and report performance, and provide market insights to drive growth in Eastern and Southern Marmara.

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.