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Senior Software Engineer (Infrastructure)

ZipRecruiter

London

On-site

GBP 70,000 - 90,000

Full time

4 days ago
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Job summary

A London-based tech company is seeking a Senior Software Engineer to enhance their core infrastructure and backend systems. This role involves building databases, APIs, and managing Kubernetes clusters. The ideal candidate will have extensive experience in backend development, particularly with SQL/NoSQL databases, and be proficient in programming languages such as Python, Node.js, or Golang. Collaboration with product teams and mentoring junior developers are key aspects of this position.

Qualifications

  • 5+ years in backend or infrastructure development.
  • Experience with CI/CD and automated deployments.

Responsibilities

  • Build and maintain core infrastructure: databases, APIs, backend services.
  • Manage Kubernetes clusters and deployment pipelines.
  • Conduct code reviews and mentor junior developers.

Skills

SQL
NoSQL
Kubernetes
Python
Node.js
Golang
CI/CD
Performance Optimization
System Reliability

Tools

AWS
GCP
Azure
Monitoring Tools

Job description

Job Description

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

This role will require 2-3 days a week 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
  • 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 with SQL/NoSQL databases and data modeling
  • Skilled in Kubernetes and containerization
  • Experience with AWS, GCP, or Azure
  • Proficient in Python, Node.js, or Golang
  • Built and maintained RESTful or GraphQL APIs
  • Understanding of distributed systems and backend architecture
  • Familiar with monitoring and observability tools
  • Experience with CI/CD and automated deployments
  • Performance optimization and system reliability expertise
  • Knowledge of message queues and event-driven systems
  • Bonus: Experience with Generative AI or ML infrastructure
  • Bonus: Familiarity with high-performance computing workloads
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