​​Senior DevOps Engineer​

Senior DevOps Engineer – London

We are representing a confidential investment management organisation based in London. Our client is seeking a Senior DevOps Engineer to lead hands-on platform engineering across their cloud and AI delivery landscape.

Responsibilities

DevOps, Cloud Platform & CI/CD Engineering

• Design, build, maintain and improve CI/CD pipelines for cloud, integration, automation and AI workloads
• Create reusable infrastructure-as-code patterns, templates and standards for secure, consistent cloud deployments
• Improve release management, environment management and deployment controls across development, test and production environments
• Support source control, branching, build, test and deployment practices that help teams deliver safely and efficiently
• Build practical engineering standards for service principals, managed identities, secrets, configuration, certificates and environment separation

Automation, AI Enablement & Developer Experience

• Enable safe, reliable deployment and operation of AI-assisted development tooling and AI agents
• Automate repeatable operational, deployment and monitoring tasks to reduce manual effort and improve consistency
• Develop self-service patterns, reusable scripts and documentation that make it easier for colleagues to adopt approved engineering practices
• Work with AI team colleagues to lay the technical foundations for agent automation and cloud-based AI delivery
• Identify opportunities to simplify tooling, reduce friction and improve the developer and stakeholder experience

Reliability, Monitoring & Operational Readiness

• Design and improve monitoring, logging, alerting and reporting across pipelines, platforms and cloud workloads
• Create runbooks, deployment checklists and operational handover materials that support effective BAU ownership
• Support incident response, root-cause analysis and continuous improvement for deployment or platform reliability issues
• Improve resilience, recovery and performance practices for key services and automation workloads
• Use data from monitoring and service performance to recommend improvements and prioritise platform work

Security, Governance & Documentation

• Embed security-by-design into DevOps practices, including least privilege, secure configuration, secrets management and change control
• Work closely with Technical Operations, Cyber, SOC and MSP partners to ensure cloud and AI tooling is operated securely
• Maintain clear documentation of pipeline designs, infrastructure standards, access models, monitoring arrangements and operational guardrails
• Support audits, assurance activity and evidence gathering where DevOps, cloud or platform controls are in scope
• Balance security, usability and delivery pace when assessing risks, trade-offs and recommendations

Collaboration, Planning & Continuous Improvement

• Plan and prioritise DevOps improvements based on impact, value, risk and delivery needs
• Translate technical complexity into clear recommendations for technical and non-technical stakeholders
• Partner constructively across Digital and Technology, internal stakeholders and external technology partners
• Challenge current ways of working where needed and recommend pragmatic improvements with clear rationale
• Share knowledge generously and help raise DevOps capability across the function and organisation

What We're Looking For

Essential Requirements

• Significant hands-on experience in DevOps, platform engineering, cloud engineering or a closely related engineering role
• Strong experience designing and maintaining CI/CD pipelines using tools such as Azure DevOps, GitHub Actions, GitLab CI or equivalent
• Good working knowledge of Microsoft Azure and cloud services, including deployment, access, monitoring and governance considerations
• Experience with infrastructure-as-code and automation tools such as Terraform, Bicep, ARM templates, PowerShell or equivalent
• Proficiency in Python for scripting, automation and tooling – able to write, read and maintain production-quality scripts
• Working knowledge of core Azure networking concepts, including VNets, NSGs, DNS, private endpoints and load balancers
• Strong understanding of Git, source control workflows, release management, environment management and secure software delivery practices
• Experience implementing monitoring, logging and alerting for cloud platforms, pipelines or application workloads
• Strong grounding in cloud security principles, including identity and access, least privilege, secrets management, network security and secure configuration
• Awareness of cloud cost management principles, including resource tagging standards, right-sizing, and governance for spend
• Ability to translate technical requirements and risk considerations into pragmatic, well-documented engineering solutions
• Comfortable working with senior leadership to make pragmatic, risk-aware decisions that balance delivery pace with security and governance requirements
• Excellent communication skills, with the ability to work effectively with technical teams, senior stakeholders and external partners
• A self-starter mindset, with strong planning, problem-solving and ownership of delivery outcomes

Desirable Skills

• Experience deploying, governing or operating AI-assisted development tools, agent automation or cloud-based AI workloads
• Experience with containers and orchestration technologies such as Docker, Kubernetes or Azure Container Apps
• Relevant certifications such as AZ-400, AZ-104, AZ-305, AZ-500, Terraform Associate, GitHub certifications or equivalent hands-on experience
• Experience working in a regulated services environment, ideally FCA-regulated

How We Work With You

Our talent team at Get A Job.ai carefully screens all applications for this confidential position. Qualified candidates will be contacted by our recruiters for an initial discussion about the role and your experience. Following this screening, we will submit selected candidates to our client for consideration.

Please apply only through Get A Job.ai. Do not attempt to contact the client directly, as this may disqualify your application.

Pay

Compensation details will be discussed with qualified candidates during the screening process.

Get A Job.ai is an equal opportunity recruiter. We are committed to creating an inclusive environment for all candidates and welcome applications from individuals of all backgrounds, experiences, and perspectives.