Platform Engineer

AutoRek is a financial data management platform enabling companies to streamline and automate complex and high-volume data management and controls processes. Our customers range from innovative FinTech start-ups to many of the UK and the world’s largest and established banks, asset managers and insurance companies. Digital data and financial transaction volumes are growing exponentially, this combined with increasing regulatory obligations is driving the demand for improved efficiencies, better control, and management of risk across the financial services industry. The AutoRek platform meets these demands and more and that is why we continue to be a leading player in the market.

We are seeking a Platform Engineer to join our growing Platform Engineering team. The team builds the automation, deployment tooling, infrastructure-as-code, and internal services that support AutoRek’s Azure-based SaaS estate.

The team is in an exciting transition phase; while what we have built to date has been consumed primarily by our internal Cloud Operations team who service our SaaS customers, we are now deliberately shifting towards a true platform engineering model: reusable services, clearer boundaries, and self-service capabilities that Product Engineering and other teams can consume directly. You will play a hands-on part in that, building and improving platform components within an agreed technical direction and working with colleagues across the business.

This is a role for an engineer who wants to deepen their Azure, automation, and infrastructure-as-code expertise in a team where patterns, standards, and review processes are already established, with the support of senior engineers and the scope to take on more over time.

What We’re Looking For:

• Hands-on Azure experience in a production environment.
• Infrastructure-as-code experience, particularly Terraform and Terraform Cloud.
• Azure DevOps and Git experience, including YAML pipelines, repositories and pull request workflows.
• Scripting and automation with PowerShell, Bash, Azure CLI and/or Python.
• Working knowledge of Azure networking and identity, including VNets, private endpoints, DNS, Entra ID, RBAC and managed identities.
• Experience testing and validating your own changes and working within peer review and change control processes.
• Able to produce release-ready change evidence, including test results, rollback approach and handover documentation.
• Able to offer practical input into technical designs and reviews.
• Clear technical documentation, and clear communication of progress, risks, and blockers.
• Able to use approved AI-assisted tooling safely, including validating generated outputs and handling sensitive data appropriately.

Desirable:

• Experience working with internal developer platforms, golden paths or self-service developer tooling.
• Exposure to AI-assisted engineering workflows beyond basic code completion.
• Exposure to or familiarity with Ansible or other configuration-as-code tooling.
• Sees work through to completion and keeps others informed along the way.
• Asks good questions and seeks clarification early rather than guessing.
• Contributes to design discussions, asks constructive questions and is open to feedback.
• Thinks in repeatable patterns rather than one-off fixes.
• Works effectively across team boundaries with Product Engineering, Cloud Operations and other internal teams.
• Shares knowledge with colleagues and takes part in reviews.
• Adopts new tooling, including AI, where it demonstrably helps, and is comfortable saying where it does not.
• Balances delivery pace against reliability, security and supportability.
• Intrinsically driven toward self-improvement.
• Happy to be challenged by peers and seniors alike, argue your case on its merits and work with a “best idea wins” mindset