Senior DevOps Engineer
Listed on 2026-07-10
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IT/Tech
Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, Cybersecurity, Systems Engineer
The Digital and Technology team designs, builds and maintains the systems that power Triple Point. The function enables seamless connectivity, security and innovation across the organisation, creating tools and platforms that help colleagues and partners work smarter and deliver excellent outcomes.
The TeamThis role sits within Technical Operations & Cyber, within the wider Digital and Technology function. The role works closely with colleagues across D&T, our MSP, our SOC and stakeholders across the business. The team is responsible for keeping our technology secure, reliable and high performing while improving delivery pace through automation, cloud engineering and emerging technology.
The RoleWe are seeking a Senior Dev Ops Engineer to lead hands‑on Dev Ops and platform engineering across Triple Point’s Microsoft cloud and AI delivery landscape.
You will design, build and operate secure deployment pipelines, automation, monitoring and infrastructure‑as‑code patterns that enable cloud and AI workloads to move safely and our use of Claude Code, AI agents and automation grows, this role will provide the engineering foundations to run these capabilities reliably, securely and with clear governance.
Working closely with the Head of Technical Operations & Cyber and our Senior Cyber Engineer, you will help enable pragmatic, risk‑aware decisions on cloud and AI tooling, ensuring a balance between delivery pace and security, governance and operational sustainability.
This is a delivery‑focused role owning engineering work end‑to‑end, from discovery and design through to implementation, documentation and transition into BAU. You will help remove delivery bottlenecks, strengthen platform maturity and make practical recommendations that balance pace, reliability, security and usability.
Key Responsibilities- 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.
- Enable safe, reliable deployment and operation of Claude Code, AI agents and similar AI‑assisted development tooling.
- 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 current and future 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.
- 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.
- Embed security‑by‑design into Dev Ops practices, including least privilege, secure configuration, secrets management and change control.
- Work closely with Technical Operations & Cyber, the 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 Dev Ops, cloud or…
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