Senior Software Engineer (Infrastructure)

Velocity Tech; Greater London; On-site; GBP 60,000 - 85,000; Full time

Job summary

A leading tech company in London is looking for a Senior Software Engineer to enhance their infrastructure. The role involves building and maintaining core systems, managing Kubernetes, and collaborating with product teams. Candidates should have extensive experience in backend development and cloud platforms, with a focus on performance and reliability.

Qualifications

• 5+ years in backend or infrastructure development.
• Strong experience with SQL/NoSQL databases and data modeling.

Responsibilities

• Build and maintain core infrastructure: databases, APIs, backend services.
• Manage Kubernetes clusters and deployment pipelines.

Skills

Python

Node.js

Golang

Kubernetes

SQL

NoSQL

Cloud Platforms

Performance Optimization

Job description

Senior Software Engineer (Infrastructure)

Velocity Tech has partnered with an exciting London-based tech company seeking a Senior Software Engineer to join their team.

This role requires 2-3 days onsite in their London office.

Responsibilities:

• Build and maintain core infrastructure: databases, APIs, backend services, and monitoring tools
• Manage Kubernetes clusters and deployment pipelines with DevOps practices
• Design scalable backend systems for an AI-driven platform
• Diagnose and resolve infrastructure issues
• Continuously improve performance, reliability, and scalability
• Develop internal tools to support engineering workflows
• Conduct code reviews and mentor junior developers
• Collaborate with product teams on infrastructure needs
• Deliver full end-to-end features

Requirements:

• 5+ years in backend or infrastructure development
• Strong experience with SQL/NoSQL databases and data modeling
• Skilled in Kubernetes and containerization
• Experience with cloud platforms like AWS, GCP, or Azure
• Proficient in Python, Node.js, or Golang
• Experience building and maintaining RESTful or GraphQL APIs
• Understanding of distributed systems and backend architecture
• Familiar with monitoring and observability tools
• Experience with CI/CD pipelines and automated deployments
• Expertise in performance optimization and system reliability
• Knowledge of message queues and event-driven systems
• Bonus: Experience with Generative AI or ML infrastructure
• Bonus: Familiarity with high-performance computing workloads

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting