Senior Python Engineer Architecture — PCORE Team

We are looking for a strong Senior Python Engineer to join the PCORE team and help improve the architecture, reliability, and performance of mission‑critical Python services used in production at scale.

• Analyze and improve performance of Python microservices running in production
• Optimize CPU, memory usage, latency, concurrency, and throughput
• Review existing architecture and propose improvements
• Introduce engineering best practices for:
  • project structure
  • testing
  • observability
  • CI/CD
  • reliability
  • security
  • code quality
• Work with FastAPI-based services and asynchronous Python code
• Profile and debug production issues under real traffic load
• Improve resiliency and fault tolerance of distributed systems
• Collaborate with Data Science teams to product ionize ML‑related workloads
• Help define standards and technical direction for Python services inside the organization
• Participate in incident analysis and post‑mortems when needed

• 5+ years of professional Python development experience
• Strong experience with backend microservices in production environments
• Deep understanding of:
  • FastAPI
  • asyncio
  • concurrency and parallelism
  • multithreading versus multiprocessing
  • packaging tools, pip, uv, C libraries
• Strong knowledge of:
  • profiling and performance optimization
  • memory leak analysis
  • networking, understanding async I/O at OS level, network diagnostics
  • caching strategies
• Experience with:
  • container optimization, layer caching, multi‑stage builds
  • Kubernetes / ECS
  • AWS, IaC
  • Redis / Postgre
    
    SQL / Mongo
    
    DB performance optimization
  • message brokers (Rabbit
    
    MQ/Kafka)
  • ML libraries, e.g. Numpy, Deep Learning frameworks, Feature Engineering
• Strong understanding of distributed systems and system design
• Experience with observability tools:
  • Prometheus
  • Grafana
  • Datadog
  • Open Telemetry
• Good understanding of production reliability practices:
  • retries
  • circuit breakers
  • back pressure
  • health checks
  • autoscaling
• Experience working with CI/CD pipelines
• Strong communication skills and ability to mentor others
• Experience working with ML/Data Science teams

• Experience optimizing inference services or data pipelines
• Knowledge of gRPC and high‑performance APIs
• Experience with load testing and benchmarking tools
• Experience in high‑scale environments (24/7 systems, high RPS)
• Contributions to open‑source projects

• Collaboration with a worldwide team
• Learning budgets, access to courses, and tools for growth
• Autonomous work environment – own your tasks and path
• Generous leave and wellness policies
• Agile processes supporting fast delivery