Senior Software Engineer (DevOps)

Requirements

• Strong experience as a Senior Software Engineer working across multiple technology stacks
• Proven DevOps experience, with a strong automation-first engineering mindset
• Experience designing, deploying and supporting production systems using CI/CD pipelines and infrastructure as code
• Ability to rapidly learn new technologies and apply them effectively in customer environments
• Excellent problem-solving and troubleshooting skills across software, infrastructure and cloud platforms
• Strong written and verbal communication skills, including confidence in customer-facing roles
• Hands-on experience with:
  • Infrastructure as Code (Terraform, Ansible or similar)
  • CI/CD pipelines and DevOps tooling
  • C# (.NET 8+) and/or Java (Spring)
  • JavaScript using a modern framework (React, Angular or similar)
  • Bash and PowerShell
  • AWS, ideally including Amazon Connect
  • Containerisation and orchestration (Docker, Kubernetes)
  • Linux environments
• (Desirable) Experience with relational databases such as MSSQL
• (Desirable) Experience with Redis or similar caching technologies
• (Desirable) Exposure to Azure
• (Desirable) Exposure to Google Cloud Platform (GCP)
• (Desirable) Experience with Go
• (Desirable) Experience with VMware
• (Desirable) Telephony or IVR experience

What the job involves

• As a Senior Software Engineer within the AI Practice, you will play a key hands‑on role in designing, building and operating secure, scalable and highly automated software solutions for our customers
• You will bring a strong DevOps mindset, taking ownership of solutions across the full lifecycle — from design and build through deployment, monitoring and continuous improvement
• The role is customer‑facing and delivery‑focused, working on AI‑enabled and cloud‑native solutions using modern, automation‑first engineering practices
• Reporting To Chris Nickson
• Design, build and maintain high‑quality software solutions using modern programming languages, cloud platforms and DevOps tooling
• Apply a DevOps and automation‑first approach across infrastructure provisioning, CI/CD, deployment, testing and operations
• Engineer secure, scalable and observable systems using modern DevOps practices, including infrastructure as code and automated quality controls
• Take ownership of services in production, including monitoring, troubleshooting, performance tuning and reliability improvements
• Work directly with customers to understand requirements, shape technical solutions and clearly communicate progress, risks and outcomes
• Troubleshoot complex issues across application code, integrations, infrastructure and cloud services
• Contribute to shared DevOps tooling, reusable components, infrastructure‑as‑code patterns and engineering standards within the AI Practice
• Collaborate closely with other engineers and delivery leads to ensure high‑quality, on‑time delivery
• Continuously evaluate and adopt new DevOps tools, technologies and patterns to improve delivery efficiency and platform reliability

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