Platform Engineer

Overview

As Platform Engineer you will evolve our Google Cloud infrastructure and CI/CD tooling to scale product delivery. You’ll treat the platform as a product, partnering with engineering teams to enable fast, safe deployments and robust observability. Your work will shape how we ship features like mutual funds, bonds and AI-enabled workflows, while maintaining security and regulatory guardrails. This role offers hands-on ownership and cross-functional collaboration at a rapidly growing fintech.

Pay / Benefits

• Hybrid working model
• Competitive salary
• Bonus scheme
• Holidays: 25 days + holidays
• Birthday off + 1 day per year
• Enhanced pension (5% match)

Responsibilities

• Contribute to Google Cloud infrastructure including Kubernetes, serverless, and Terraform, guiding teams to choose the right underlying platforms.
• Improve the commit-to-production pipeline with faster builds, safer rollouts, and clearer failure signals in CI/CD.
• Treat the platform as a product: anticipate engineering needs from the roadmap and design scalable services accordingly.
• Collaborate with teams to integrate AI into development workflows and refine tooling and guardrails as AI evolves.
• Support monitoring, diagnostics, and observability to achieve best-in-class alerting and SLOs.
• Partner with security, risk, and compliance to embed regulatory guardrails and ship compliantly by default.
• Deploy, monitor, and maintain platform components in production, growing ownership of platform areas over time.

Key requirements

• Built, shipped, and operated production backend services across the full lifecycle.
• Interest in platform thinking and understanding of how code runs, scales, and interacts with systems.
• Proficiency with Node.js (TypeScript), Terraform, and Kubernetes; willingness to learn and adapt.
• Experience with a major cloud provider (GCP preferred; AWS/Azure acceptable) and IaC like Terraform.
• Hands-on CI/CD experience and a track record of improving or owning pipelines.
• Product-minded mindset: focus on why features matter and measurable outcomes for engineers shipping code.
• Judicious use of AI tools with clear awareness of limitations and risks, not just ML expertise.
• Comfort with ambiguity, unfamiliar code, and solving problems with minimal guidance.
• Scripting ability (JavaScript, Python, or similar) and a habit of automating repetitive tasks.

• collaborative
• problem-solving
• product-minded
• Node.js (TypeScript)
• Terraform
• Kubernetes

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