Senior Platform Engineer (DevOps)

Synextra; Warrington; Hybrid; GBP 65.000 - 80.000; Vollzeit

Benefits dieser Stelle

Funded Microsoft certifications

Zusammenfassung

Synextra seeks an experienced Azure engineer to troubleshoot complex production faults and deliver engineering work alongside developers. You will support customers and internal teams, building Azure environments with Terraform, refining deployment pipelines and improving monitoring and cost controls.

The role spans incident response, automation, and platform development, with hybrid working in Warrington and a permanent, full-time schedule of 37.5 hours per week.

Qualifikationen

• Strong hands-on Azure experience across IaaS and PaaS.
• Understanding of compute, networking, DNS, identity and storage interactions.
• Practical experience with App Service, Container Apps, Functions or API Management.
• Experience writing and maintaining Terraform, including modules and state management.
• Experience building or maintaining CI/CD pipelines in Azure DevOps or GitHub Actions.
• Ability to write automation in PowerShell or Python.
• Clear communication with customers and colleagues, able to deliver independently.

Aufgaben

• Act as a senior technical escalation point for complex and high-impact Azure incidents across customer environments.
• Troubleshoot across infrastructure and application services; identify faults and restore service.
• Collaborate with engineers to investigate faults and communicate findings.
• Translate incidents into improvements in configuration, monitoring, automation and ops guidance.
• Mentor others and participate in on-call duties.
• Build and maintain Azure environments via Terraform and reusable modules.
• Develop and improve CI/CD pipelines and deployment pipelines.

Kenntnisse

Azure IaaS/PaaS

Compute Networking DNS Identity

Azure App Services

Terraform

CI/CD Azure

Automation scripting

Communication

Ausbildung

Microsoft Certifications (AZ-104/AZ-305/AZ-400)

Tools

Terraform

Azure DevOps

GitHub Actions

Jobbeschreibung

£65,000–£80,000 per year | Hybrid, Warrington | Full-time, permanent | 37.5 hours per week

About Synextra

Synextra is an independent Azure specialist supporting regulated UK businesses, including law firms, mortgage lenders and financial services organisations. We’re small by design, with a focus on technical depth, customer service and taking responsibility for the environments we run.

Alongside our managed cloud services, our AI engineering team builds agent products for those same customers. We’re looking for an experienced Azure engineer who enjoys solving difficult operational problems and delivering engineering work alongside developers.

The role

You’ll work across our cloud engineering team, client projects and AI engineering team, combining deep Azure troubleshooting with planned development and automation work.

Our customers run a wide variety of environments in Azure, from virtual machines, networking and identity through to managed application services and modern cloud platforms. You’ll be someone our wider cloud engineering team can turn to for the most complex or significant Azure issues—helping investigate faults, restore service and understand what needs to change to prevent a repeat.

Alongside that operational responsibility, you’ll contribute to development sprints: building environments in Terraform, improving deployment pipelines, implementing monitoring and developing the platforms that support our AI products.

We’re looking for someone who enjoys that breadth. You’re comfortable getting into the detail of a difficult customer incident, sharing your expertise with other engineers and taking planned work through implementation, review, testing and release.

What you’ll be doing

Supporting customers and our cloud engineering team

• Act as a senior technical escalation point for complex and high-impact Azure incidents across customer environments.
• Troubleshoot across infrastructure and application services, including compute, networking, DNS, identity, storage and service dependencies.
• Work alongside other engineers to investigate faults, restore service and communicate clear findings and next steps.
• Follow significant incidents through to root cause, turning findings into improvements in configuration, monitoring, automation and operational guidance.
• Share your expertise through practical troubleshooting, technical reviews and mentoring.
• Participate in an on-call rota as part of delivering production systems.

Delivering projects and sprint work

• Build and maintain Azure environments using Terraform, including reusable modules, state management and drift remediation.
• Develop and improve CI/CD pipelines in Azure DevOps and GitHub Actions.
• Work with developers to refine requirements, break work into manageable tasks and deliver changes through pull requests, testing and release.
• Automate recurring tasks and replace manual processes with dependable, repeatable solutions.
• Contribute to technical designs and help make practical decisions about reliability, security, performance and cost.
• Produce clear documentation and handovers so the wider team can confidently support what you build.

Working with our AI engineering team

• Build and operate the Azure environments supporting our AI products and customer deployments.
• Develop deployment pipelines across development, testing and production, including isolated client environments.
• Implement networking, identity, secrets management and access controls.
• Improve monitoring, alerting and visibility into service performance and cost, including AI consumption.
• Help developers investigate production issues and turn operational experience into better engineering practices.

What you’ll bring

• Strong hands-on Azure experience across both IaaS and PaaS, with a track record of diagnosing complex production faults.
• A solid understanding of how compute, networking, DNS, identity and storage interact, and confidence investigating problems that cross those boundaries.
• Practical experience with Azure application services such as App Service, Container Apps, Functions or API Management.
• Experience writing and maintaining Terraform, including modules, state management and safely changing existing environments.
• Experience building or maintaining CI/CD pipelines in Azure DevOps or GitHub Actions, and working through Git branches, pull requests and code review.
• The ability to write useful automation in PowerShell, Python or another scripting language.
• Clear communication with customers and colleagues, sound judgement during incidents and the ability to deliver agreed engineering work independently.

You don’t need to have used every Azure service. We’re interested in the depth of your understanding, how you investigate unfamiliar problems and the work you’ve delivered.

Useful additional experience

• Working in an MSP, consultancy, SaaS business or development team.
• Supporting regulated customers or operating across multiple customer environments.
• Multi-tenant architecture and tenant isolation.
• Deploying or operating AI and LLM-based services.
• Relevant Microsoft certifications, such as AZ-104, AZ-305 or AZ-400. We’ll fund relevant certifications you want to work towards.

How we work

Customer support and planned engineering delivery are both substantial parts of this role. You’ll work with colleagues across the teams to agree priorities, communicate when urgent work affects delivery and follow tasks through to a proper conclusion.

We value people who stay calm when something breaks, ask good questions and share what they learn. Your contribution will be visible in the reliability of our customer environments, the quality of what we deliver and the capability of the engineers around you.

What we offer

• A salary of £65,000–£80,000, depending on relevant experience and capability.
• Hybrid working based at our Birchwood Park office in Warrington.
• A permanent, full-time role working 37.5 hours per week.
• Funded relevant Microsoft certifications.
• Varied technical work across customer environments, cloud projects and AI products.
• Direct access to leadership and the opportunity to influence technical decisions and working practices.