Senior Full-Stack Developer

Technical leadership and architecture

• Substantial experience in application development and systems architecture, with Python as your primary language.
• Experience leading the full software development lifecycle, from planning and solution architecture through to deployment and post-production optimisation.
• The ability to lead engineering work, set high standards for code quality, and run thorough code and design reviews.
• Advanced Python knowledge, including asynchronous programming (asyncio), concurrency and parallel processing, and strong experience with frameworks such as FastAPI, Django REST Framework and Flask.
• Experience with modern architecture patterns, including microservices, event-driven architecture (Kafka, RabbitMQ), domain-driven design and GraphQL.
• A strong grasp of object-oriented and functional programming, applied to build modular, extensible and maintainable codebases.

Core technical skills

• Expert Python 3 skills, with experience building high-throughput, low-latency and fault-tolerant applications.
• Frontend experience with a modern framework such as React, Angular or Vue.js, to deliver complete full-stack applications.
• Hands-on experience across database technologies, including SQL optimisation for relational databases (PostgreSQL, SQL Server) and schema design for NoSQL stores (MongoDB, Elasticsearch, Redis).
• Experience designing, securing (OAuth2, JWT) and optimising REST and gRPC APIs, with attention to idempotency, rate limiting and error handling.
• Hands-on experience building CI/CD pipelines (GitHub Actions, GitLab CI, Azure DevOps or Jenkins) with automated testing, build and deployment.
• Cloud platform experience (AWS, Azure or GCP), including infrastructure as code (Terraform, CloudFormation) and serverless services.
• Proficiency with Docker and Kubernetes, including Helm.
• Strong troubleshooting, profiling and performance optimisation skills, using tools such as Prometheus, Grafana and Jaeger.
• A commitment to automated testing at every level (unit, integration, end-to-end and performance) using frameworks such as pytest and Selenium, with test-driven development as standard practice.
• A strong understanding of secure coding, including the OWASP Top 10, static and dynamic analysis, encryption and secrets management.
• Confident use of Git workflows, including trunk-based development, branching strategies and pull request automation.

AI integration and development

• Experience across the machine learning lifecycle, from data preparation and model training to deployment and monitoring, using frameworks such as PyTorch, TensorFlow, Hugging Face and scikit-learn.
• Practical use of AI development tools such as GitHub Copilot, Claude Code or Cursor to improve productivity and code quality.
• Hands-on experience designing, building and deploying agentic AI systems, including custom agents, specialised skills and agent frameworks that automate complex workflows.
• Practical experience applying generative AI models, such as GPT, Gemini and Claude, to code generation, natural language processing and intelligent automation.

Ways of working

• Experience with Agile, Scrum or Kanban, and a collaborative, iterative approach to delivery.
• Strong organisational skills, with the ability to reprioritise and manage several high-stakes projects at once.
• Project leadership experience, including stakeholder communication, resource planning and coordination across teams.
• Excellent written and verbal communication, with the ability to explain complex technical concepts clearly to both technical and non-technical audiences, including clients.

• Experience with additional languages such as TypeScript, Go, Java or Rust.
• Experience with big data and real-time processing technologies, such as Apache Spark, Flink or Kafka Streams.
• Relevant cloud certifications, such as AWS Certified Solutions Architect – Professional, Azure Solutions Architect Expert or Google Cloud Professional Cloud Architect.
• Experience delivering bespoke software for clients in an agency, consultancy or similar setting.

• Hybrid working, with a week together as a whole team every month.
• A varied portfolio of projects across different products and sectors.
• The opportunity to shape Bairing’s engineering practices from an early stage.