Job Description

Responsibilities

• Own the system architecture: from choosing frameworks and database structures to designing scalable APIs and services
• Take a hands-on role in development: build core components, POCs, and critical modules
• Define and document architectural decisions, patterns, and best practices
• Lead technical discussions and decisions within the team and with stakeholders
• Help the team stay unblocked, productive, and aligned with technical direction
• Review code, guide implementation, and ensure high technical quality across the project
• Collaborate with DevOps and QA to ensure stability, observability, and smooth deployments
• Deep knowledge of core Python and experience in collecting data through accessing hardware
• Low-level event capture (ETW/PresentMon/DXGI) for analyzing latency and present times. Profiler orchestration (OCAT, PresentMon, NVAPI/ADL hooks, Intel GPA/RenderDoc as needed). Reliable logging, result storage, test comparisons, and report generation. Web dashboard with charts and test history.

Requirements

• 5+ years of experience in backend development with Python
• Proven experience as a Solution Architect, Tech Lead, or Senior Backend Engineer
• Deep knowledge of Python frameworks (FastAPI, Django, Flask)
• Strong understanding of:
  - microservices architecture
  - API design and service boundaries
  - data modeling and relational databases (PostgreSQL)
  - async programming and queues (e.g., Celery, RabbitMQ)
• Experience designing systems for scalability, fault tolerance, and maintainability
• Comfort working with Linux environments, containers (Docker), Git workflows
• Excellent communication skills and ability to justify architectural decisions
• Very good English language skills, both written and verbal (min. B2)
  

Preferred Skills


• Experience with Azure DevOps, GitHub Actions, or other CI/CD platforms
• Familiarity with cloud platforms (Azure, AWS, GCP)
• Experience with system monitoring, logging, and performance profiling
• Bonus: exposure to AI/ML integration, vector databases (e.g., Qdrant, Pinecone)

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