Senior Python Developer

Velocitytechltd — United Kingdom · Posted ~21 hours ago

Senior Full-time

Skills

Python Backend development Software architecture System design API development Distributed systems Databases Testing CI/CD Version control Cloud platforms Docker Containerization PostgreSQL MySQL AWS GCP Azure FastAPI Django Flask Kubernetes Kafka

🔓 Log in to save this job, tailor your resume & track your apply process — 7 days free, no card needed.

Log in to add to target list

Summary ✨ AI‑Generated

A technology-driven organization is seeking a senior Python engineer to build and operate scalable backend systems. You will work on APIs, distributed systems, architecture, databases, cloud infrastructure, containers, CI/CD, and production engineering, with potential exposure to event-driven systems, orchestration, and AI/ML.

Highlights

Senior backend engineering role requiring 5+ years of professional experience, with opportunities to work on production systems at scale, distributed architectures, APIs, cloud platforms, containers, testing, and modern engineering practices.

Description

What We're Looking For 5+ years of professional software engineering experience.Strong commercial experience with Python.Experience building and operating production backend systems at scale.Strong understanding of software architecture, system design, and engineering best practices.Experience developing APIs and distributed systems.Strong knowledge of databases such as PostgreSQL, MySQL, or similar.Experience with testing, CI/CD, version control, and modern development workflows.Experience working with cloud platforms such as AWS, GCP, or Azure.Experience with Docker and containerised environments.Strong problem-solving skills and a pragmatic approach to engineering.Excellent communication skills and the ability to work effectively in a collaborative environment. Nice to Have Experience with FastAPI, Django, or Flask.Experience with Kubernetes and cloud-native infrastructure.Familiarity with event-driven architectures and technologies such as Kafka.Experience working with AI/ML, data platforms, or high-volume systems.Experience in a startup or high-growth technology environment.