Senior Platform Engineer - Risk & Analytics Platform

Experis Austria; Greater London; Hybrid; GBP 90,000 - 150,000; Full time

Job summary

Unknown company in London seeks a Senior Platform Engineer to design, build and operate core platform services powering portfolio analytics and risk calculations. You will connect data, models and applications, ensuring secure, reliable and scalable execution of complex calculations.

This role combines hands-on engineering with technical leadership, mentoring the team and shaping engineering standards across the platform.

Qualifications

• Strong experience building enterprise applications in Python.
• Experience designing APIs and service-oriented architectures.
• Cloud expertise (Azure, AWS or GCP).
• Docker and Kubernetes in production deployments.
• Knowledge of job orchestration and workflow engines.
• SQL and data integration experience.
• Building highly available, production-grade systems.
• Monitoring and observability expertise.
• Excellent stakeholder communication.

Responsibilities

• Designing and developing scalable Python-based services and APIs.
• Building cloud-native platforms for analytical and risk workloads.
• Developing orchestration frameworks for batch and on-demand calculations.
• Managing containerised environments and distributed compute services.
• Implementing monitoring, observability and operational tooling.
• Creating CI/CD pipelines and deployment automation.
• Ensuring security, governance and auditability across the platform.
• Collaborating with model developers to productionise analytical solutions.
• Providing hands-on technical leadership and mentoring the team.

Skills

Python

APIs

Cloud platforms (Azure/AWS/GCP)

Docker

Kubernetes

Workflow engines

Message queues

SQL

Production-grade systems

Monitoring/Observability

Stakeholder engagement

Job description

Unknown company in London seeks a Senior Platform Engineer to design, build and operate core platform services powering portfolio analytics and risk calculations. You will connect data, models and applications, ensuring secure, reliable and scalable execution of complex calculations.

This role combines hands-on engineering with technical leadership, mentoring the team and shaping engineering standards across the platform.