Devops Engineer

SR2 REC LTD; Greater London; Hybrid; GBP 96,000 - 131,000; Full time

Job summary

SR2 Consulting is seeking a DevOps Engineer to accelerate AI production delivery within a regulated financial-services context. You will partner with AI and platform engineers to release changes safely, diagnose issues quickly, and run services with clear accountability.

Responsibilities include building CI/CD pipelines for AI apps, automating tests and security controls, and aligning releases with audit-ready runbooks and evidence in a regulated environment. R... (truncated for length)

Qualifications

• Proven DevOps experience supporting production software delivery.
• Experience in a regulated industry, ideally banking/finance or similar.
• Strong CI/CD engineering skills with cloud-hosted apps.
• Scripting, source control, containerisation and IaC experience.
• Understanding of secure software delivery and auditable releases.
• Experience with monitoring, incident response, and production troubleshooting.
• Ability to work with developers and security teams to implement automation.

Responsibilities

• Build and maintain CI/CD pipelines for AI apps, APIs and services.
• Automate testing, code-quality checks, dependency scanning and security controls.
• Standardise build artefacts, environment promotion, release approvals and rollback.
• Collaborate with AI engineers on release gates for prompts and model config.
• Improve logging, metrics, tracing and alerting for service visibility.
• Support incident investigation and root-cause analysis in regulated setups.
• Automate repetitive delivery tasks and maintain release runbooks.

Skills

CI/CD engineering

Scripting

Infrastructure as code

Monitoring & incident response

Security & auditable releases

Collaboration with security teams

Tools

GitHub Actions

Azure DevOps

GitLab CI

Terraform

Docker

Kubernetes

OpenTelemetry

Prometheus

Job description

DevOps Engineer | AI Engineering & Delivery | Contract

London hybrid, 2-3 days onsite | Inside IR35

Getting AI into production requires a dependable route from code change to live service. Testing, release controls, observability and recovery all need to work together.

SR2 Consulting is looking for a DevOps Engineer to establish and improve that delivery lifecycle within a financial-services organisation developing its internal AI capability.

Working alongside AI and platform engineers, you'll help teams release changes safely, identify problems quickly and operate services with clear accountability.

What you'll be doing

• Build and maintain CI/CD pipelines for AI applications, APIs and supporting services.

• Automate testing, code-quality checks, dependency scanning and security controls within the delivery process.

• Establish consistent approaches to build artefacts, environment promotion, release approvals and rollback.

• Work with AI engineers to incorporate application evaluations into release gates, including changes to prompts, model configuration and retrieval components.

• Improve logging, metrics, tracing and alerting so teams can understand service behaviour and diagnose failures.

• Support incident investigation, root-cause analysis and improvements to operational readiness.

• Automate repetitive delivery and support tasks, reducing reliance on manual intervention.

• Maintain runbooks and release evidence appropriate to a regulated environment.

What we need

• Proven DevOps experience supporting production software delivery.

• Experience in a regulated industry is essential, ideally banking, insurance or wider financial services.

• Strong CI/CD engineering skills and practical experience with cloud-hosted applications.

• Confidence with scripting, source control, containerisation and infrastructure as code.

• An understanding of secure software delivery, controlled change and auditable release processes.

• Experience with monitoring, incident response and production troubleshooting.

• The ability to work closely with developers and security teams, turning requirements into effective automation.

Relevant technology experience

Git, Python or Bash, Docker and Terraform are particularly useful, alongside a CI/CD platform such as GitHub Actions, Azure DevOps or GitLab CI.

Experience with AWS or Azure is relevant, as is familiarity with cloud monitoring services, OpenTelemetry, Prometheus or Grafana. Exposure to security tooling such as SonarQube, Trivy or equivalent tools would be beneficial.

Experience supporting AI/ML applications, model or experiment tracking, automated evaluations and versioning of AI application components is a strong advantage. MLflow or comparable tooling would be useful, but the priority is robust delivery engineering rather than a particular product.

Contract details

London hybrid, with 2-3 days onsite. Inside IR35. Appointment is subject to the required security screening and clearance process.