Senior Python Engineer – Performance & Architecture

About the role

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

Key responsibilities

• Analyse and optimise performance of Python micro‑services, focusing on CPU, memory, latency, concurrency and throughput.
• Review existing architecture, propose and implement improvements, and introduce engineering best practices (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.
• Improve resiliency and fault‑tolerance of distributed systems and define standards for Python services across the organisation.
• Collaborate with platform engineers, DevOps, architects and Data Science teams to productionise ML workloads.
• Participate in incident analysis, post‑mortems and drive technical direction.

Required profile

• 5+ years of professional Python development experience.
• Strong background in backend micro‑services deployed in production.
• Deep knowledge of FastAPI, asyncio, concurrency, multithreading vs multiprocessing and packaging tools (pip, uv, C extensions).
• Expertise in profiling, memory‑leak analysis, networking, async I/O and caching strategies.
• Hands‑on experience with container optimisation, Docker multi‑stage builds, Kubernetes/ECS, AWS and IaC.
• Performance tuning of Redis, PostgreSQL, MongoDB and message brokers such as RabbitMQ or Kafka.
• Familiarity with ML libraries (NumPy, deep‑learning frameworks) and collaboration with Data Science teams.
• Experience with observability stacks (Prometheus, Grafana, Datadog, OpenTelemetry) and production reliability patterns (retries, circuit breakers, back‑pressure, health checks, autoscaling).
• Proven ability to mentor others and communicate technical concepts clearly.

Required skills

• Python
• FastAPI
• asyncio
• Docker
• Kubernetes / ECS
• AWS
• IaC
• Redis
• PostgreSQL
• MongoDB
• RabbitMQ / Kafka
• NumPy
• Deep‑learning frameworks
• Prometheus
• Grafana
• Datadog
• OpenTelemetry
• CI/CD pipelines