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Lead Engineer​/Software Engineer; Kubernetes, Docker, Containerisation, Python, Networking, IaC

Job in City Of London, Central London, Greater London, England, UK
Listing for: Intec Select
Contract position
Listed on 2026-07-19
Job specializations:
  • Software Development
    DevOps, Cloud Engineer - Software, Software Architect
Salary/Wage Range or Industry Benchmark: 85000 - 110000 GBP Yearly GBP 85000.00 110000.00 YEAR
Job Description & How to Apply Below
Position: Lead Engineer / Software Engineer  (Kubernetes, Docker, Containerisation, Python, Networking, IaC)
Location: City Of London

Kubernetes | Docker | Containerisation | Python | Infrastructure as Code

Duration: Initial 6-month contract with likely extension

Overview

We're looking for an experienced Lead Engineer to join a high‑profile programme building a secure, cloud‑native platform that will support data‑driven research and innovation at national scale.

This is a founding engineering role, offering the opportunity to shape the architecture, engineering standards, infrastructure, and platform capabilities from the ground up. Working closely with the Engineering Manager and a small team of senior engineers, you'll establish the technical foundations for a complex federated platform operating within a highly regulated environment.

We're looking for someone who enjoys building from first principles, thrives in ambiguity, and can balance strategic architectural thinking with hands‑on software engineering.

Role & Responsibilities
  • Lead the design and build of the platform's core cloud infrastructure and engineering foundations.
  • Define architectural patterns, engineering standards, and best practices that will scale across the wider organisation.
  • Design and implement Kubernetes‑based platforms and containerised workloads.
  • Build secure, cloud‑native services using modern software engineering practices, primarily in Python.
  • Establish CI/CD pipelines, Infrastructure as Code frameworks, automated testing, and deployment processes.
  • Design secure identity and access management capabilities, including authentication, authorisation, and audit.
  • Build resilient networking and security architectures, including segmentation, observability, monitoring, and access controls.
  • Contribute to the design of distributed and federated platform architectures.
  • Implement governance, workflow orchestration, and audit capabilities to support compliance and operational requirements.
  • Evaluate and integrate open‑source technologies and platform components.
  • Mentor engineers and promote engineering excellence across the team.
  • Work closely with architecture, product, security, and external stakeholders.
Skills & Experience
  • Experience as a Lead Engineer, Principal Engineer, Staff Engineer, Platform Architect, or similar senior technical role.
  • Strong software engineering background with hands‑on Python development.
  • Deep expertise in Kubernetes, Docker, containerisation, and cloud‑native platform engineering.
  • Experience designing and building solutions on AWS, Azure, or GCP.
  • Strong Infrastructure as Code experience, ideally Terraform.
  • Experience building and operating CI/CD pipelines and modern Dev Ops practices.
  • Strong networking knowledge, including VPCs, connectivity, load balancing, DNS, segmentation, and network security.
  • Experience designing highly available, scalable distributed systems and platform architectures.
  • Strong understanding of IAM, authentication, authorisation, and secure‑by‑design principles.
  • Comfortable making architectural decisions within evolving, fast‑paced environments.
  • Excellent communication skills with the ability to work across technical and non‑technical teams.
  • Experience working in highly regulated environments such as healthcare, government, public sector, research, or financial services.
  • Experience with federated platforms or distributed data architectures.
  • Knowledge of Trusted Research Environments (TREs), Secure Data Environments (SDEs), or similar secure data platforms.
  • Understanding of governance, compliance, and security frameworks for sensitive data.
  • Experience evaluating or contributing to open‑source technologies.
  • Exposure to policy‑as‑code, service mesh, and Zero Trust security architectures.
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