Platform Engineer

Hydrogen Group; Greater London, Liverpool, Glasgow; Hybrid; GBP 70,000 - 120,000; Full time

Job summary

Hydrogen Group is seeking a Senior Platform Engineer to design and deliver the backend infrastructure powering risk analytics. You will build reliable APIs, cloud-based compute services and containerised workloads, coordinating with quantitative developers to productionise models.

The role offers hybrid work options across London, Liverpool or Glasgow, with opportunities to lead a small engineering team and contribute to architectural decisions and deployment pipelines.

Qualifications

• Production-quality Python applications.
• Experience building APIs and backend services.
• Cloud platforms (AWS/Azure/GCP) experience.

Responsibilities

• Design, build and maintain backend services and APIs using Python.
• Develop cloud-based compute services for scheduled and on-demand workloads.
• Manage job orchestration, queues and containerised services.
• Integrate portfolio data and calculation outputs with enterprise systems.
• Ensure monitoring, logging, security and error handling.
• Implement retry, recovery and fault-tolerance for calculations.
• Build deployment pipelines and automated tests.
• Collaborate with quantitative developers to productionise models.
• Contribute to architecture, standards and code reviews.
• Provide technical guidance across the team.

Skills

Python

APIs

Cloud platforms

Docker

Kubernetes

SQL

CI/CD

Monitoring

Security

Production support

Financial services

Data workflows

Tools

Docker

Kubernetes

Job description

Senior Platform Engineer – Risk Services & Calculation Infrastructure

Location: London, Liverpool OR Glasgow – Hybrid

The Opportunity

We are looking for an experienced Senior Platform Engineer to help build and develop the technology platform supporting its portfolio risk and investment analytics capabilities.

This is a hands‑on engineering role focused on designing and delivering the backend infrastructure that powers complex financial calculations. You'll be responsible for building reliable APIs, calculation services, cloud‑based compute capabilities and integrations with existing systems.

Working closely with quantitative developers and other engineers, you'll help turn portfolio data and analytical models into scalable, dependable production services.

There will also be an opportunity to provide hands‑on technical leadership across a small engineering team.

Key Responsibilities

• Design, build and maintain backend services, APIs and calculation infrastructure using Python.
• Develop cloud‑based compute services supporting scheduled and on‑demand calculation workloads.
• Build and manage job orchestration, queues and containerised services.
• Integrate portfolio data, calculation outputs and existing enterprise systems.
• Develop reliable services with appropriate monitoring, logging, security and error handling.
• Implement retry, recovery and fault‑tolerance mechanisms for critical calculation processes.
• Build and maintain deployment pipelines and automated testing processes.
• Work closely with quantitative developers to integrate models into production‑ready services.
• Contribute to technical architecture, engineering standards and code reviews.
• Provide hands‑on technical guidance and leadership across the engineering team.

Technical Skills & Experience

• Strong commercial experience developing production‑quality applications using Python.
• Experience designing and building APIs and backend services.
• Good knowledge of cloud platforms such as AWS, Azure or GCP.
• Experience with Docker, Kubernetes or other container technologies.
• Knowledge of job orchestration, asynchronous processing, messaging and queues.
• Strong SQL and database integration experience.
• Experience with CI/CD pipelines, automated testing and deployment.
• Understanding of monitoring, observability, security and production support.
• Experience working with financial services, investment management or portfolio data.
• Exposure to risk systems, quantitative analytics or calculation‑heavy applications.
• Experience with batch processing and large‑scale data workflows.
• Understanding of model versioning, calculation traceability and auditable processing.

What We're Looking For

We're looking for a practical, delivery-focused engineer who enjoys solving complex engineering problems and building dependable production systems.

You don't need to develop the underlying financial mathematics, but you should be comfortable working alongside quantitative developers and translating their models into robust engineering solutions.

You'll be joining a small team where ownership, collaboration and the ability to deliver hands‑on are essential.

Experience using AI coding assistants is expected, alongside the ability to review, test and validate AI-generated code properly.