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)
Responsibilities Own the system architecture: from choosing frameworks and database structures to designing scalable APIs and servicesTake a hands-on role in development: build core components POCs and critical modulesDefine and document architectural decisions patterns and best practicesLead techni...
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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