Cloud Platform Engineer

About the Role

This role is a hands‑on engineering position focused on building and operating a data platform that supports analytics, CRM, financial reporting and machine learning across the MONY Group. The position requires strong engineering judgment, curiosity, and the ability to apply automation responsibly.

• Build and operate the data platform, including platform infrastructure, using infrastructure‑as‑code (primarily Terraform).
• Improve CI/CD pipelines, deployment practices and platform tooling to enable data teams to self‑serve safely.
• Work with security, compliance and data protection colleagues to reduce risk and improve data handling practices.
• Deliver reliable data products by building robust, scalable data solutions that support business needs such as CRM, SEO, financial reporting and personalization.
• Improve monitoring, alerting, data quality checks and observability to quickly detect and understand issues.
• Improve engineering workflows with AI and automation, turning repeated or high‑friction tasks into reliable automated or AI‑assisted workflows.
• Enable the wider team by sharing practical learning through documentation, demos, pairing and show‑and‑tell sessions.
• Support junior team members through coaching, code review and clear engineering standards.
• Maintain an informed view of the fast‑moving AI tooling landscape and recommend adoption where it solves real team problems.

• Strong software or data engineering fundamentals, including production Python and SQL.
• Experience building, operating or improving cloud‑based systems.
• Familiarity with infrastructure‑as‑code, CI/CD, version control and automated testing.
• Ability to reason about reliability, security, observability and operational support.
• Experience working with technical and non‑technical stakeholders and communicating clearly.
• Curiosity about AI‑assisted engineering and automation, with an interest in applying these tools to practical delivery workflows.
• Experience with GCP, AWS or Azure services such as serverless runtimes, networking, data warehouses, streaming systems or managed workflow platforms is useful but not essential.
• Experience building or configuring AI agent workflows, custom agents, tool/function calling, MCP servers, local coding‑agent instructions, hooks or SDKs is useful but not essential.
• Experience with BDD/TDD, design‑for‑testing, or improving testability in data and platform systems is useful but not essential.

• Up to 27 holidays + bank holidays
• Pension up to 6% employer contribution
• Bonus scheme
• Digital Doctor on demand
• Work from anywhere scheme – 2 weeks per year
• Financial coaching
• Mental health platform access

We are invested in your development. Expect mentorship, training and opportunities to expand your skill set, including access to a Linked In Learning license with over 16,000 courses.

We are committed to diversity and inclusion, and we provide reasonable accommodations throughout the application process. Contact us for any accommodations you may need.

Contact:
Kim Richards ()

We are an Equal Opportunity Employer and do not discriminate on the basis of race, colour, religion, sex, national origin, veteran or disability status.