Remote Backend Jobs

We're looking for a Senior Python Developer who can own backend architecture end to end - designing scalable services, modernising legacy systems, and building the automation and AI-powered tooling that makes the rest of the business faster.

This is a hands-on engineering role with real scope. You'll work across product, data, and platform boundaries, partnering directly with data scientists, product managers, and stakeholders rather than picking up tickets from a queue. We want someone comfortable operating in ambiguity: minimal documentation, unclear edges, and the judgement to self-direct investigation and delivery.

The role is fully remote and engaged on a full-time contract basis, reporting directly to management.

What you'll do

• Design and build scalable backend services and APIs in Python, from architecture through to production deployment.
• Lead the modernisation of legacy systems, improving modularity, performance, and maintainability.
• Build automation pipelines and internal tooling that remove manual effort and reduce operational cost.
• Integrate LLMs and AI capabilities into production products, including RAG pipelines and AI gateway/routing infrastructure.
• Deploy and operate cloud-native systems using infrastructure as code.
• Partner with data scientists, engineers, and product stakeholders to turn ambiguous problems into shipped solutions.
• Set the technical bar for the team through code review, testing discipline, and architectural decisions.

Essential experience

• 8+ years professional software engineering experience, with Python as your primary language.
• Experience and proactive person who can lead the team.
• Proven track record designing scalable backend architectures, not just maintaining them.
• Strong experience with modern Python web frameworks (Flask, Django, or FastAPI).
• Hands-on cloud experience with at least one major provider (AWS, Azure, or GCP) and comfort working across others.
• Experience building automation pipelines and API-driven integrations.
• Containerisation and orchestration - Docker, and ideally Kubernetes.
• Infrastructure as code (Terraform or equivalent) and CI/CD practices.
• Solid testing discipline - TDD or equivalent rigour.
• Experience leading projects or initiatives, including large-scale migrations from legacy to modern stacks.
• Comfortable in Agile, cross-functional teams, working directly with non-engineering stakeholders.

Desirable

• Production experience with LLMs and AI integration - RAG, OpenAI or Bedrock APIs, LLM gateways and routing (e.g. LiteLLM).
• Fluency with agentic development tooling - Cursor, Claude Code, n8n.
• Data engineering exposure: dbt, Airflow, Snowflake, Kafka, ELT pipeline design.
• TypeScript and front-end familiarity (React, Next.js, or Vue) for full-stack contribution.
• Experience in regulated environments - fintech, health-tech, GDPR, or medical compliance.
• Background spanning both startup/scale-up and enterprise environments.
• Microservices architecture at scale.