Platform Engineer

SR2 REC LTD; Greater London; Hybrid; GBP 148,000 - 203,000; Full time

Job summary

SR2 Consulting is seeking a hands-on Platform Engineer to build and operate a scalable AI data platform in a financial-services environment. You will design and implement repeatable environments, secure access controls, and reusable infrastructure modules to support AI development, testing, and production.

You will collaborate with AI engineers, security, and operations to ensure platform reliability, security, and visibility, while documenting handovers for the growing internal team.

Qualifications

• Strong hands-on platform or cloud engineering experience in production environments.
• Deep expertise in AWS or Azure.
• Experience in a regulated industry, ideally financial services.
• Strong infrastructure-as-code skills and understanding of environment management.
• Practical knowledge of cloud networking, identity, least-privilege access, and secure handling of sensitive data.
• Experience supporting containerised applications and working closely with software engineering teams.

Responsibilities

• Build and maintain cloud environments for AI development, testing and production.
• Create reusable infrastructure modules and deployment patterns.
• Configure identity, service permissions, networking, secrets management and encryption.
• Enable secure connectivity between AI applications and enterprise data services, including Snowflake.
• Support containerised workloads and managed cloud services, aligning with operational needs.
• Establish platform monitoring, capacity management, and cost visibility.
• Work with security teams to embed controls into platform design and configuration.

Skills

Platform engineering

Infrastructure as Code

Security by design

Cloud platforms

Tools

Terraform

Python

Bash

Linux

Git

Docker

Kubernetes

Job description

Platform Engineer | AI & Data Platforms | Contract

London hybrid, 2-3 days onsite | Inside IR35

AI teams need a platform they can build on confidently: secure access to data, repeatable environments and infrastructure that remains reliable as usage grows.

SR2 Consulting is looking for a hands‑on Platform Engineer to help establish those foundations within a financial‑services organisation building its internal AI capability.

You’ll work closely with AI engineers, architecture, security and operations teams to create a practical platform for developing and running enterprise AI applications. The role offers scope to shape reusable services and engineering standards from an early stage.

What you’ll be doing

• Build and maintain cloud environments that support AI development, testing and production workloads.
• Create reusable infrastructure modules and deployment patterns that make approved environments straightforward to provision.
• Configure identity, service permissions, networking, secrets management and encryption.
• Enable secure connectivity between AI applications, enterprise systems and data services, including Snowflake.
• Support containerised workloads and managed cloud services, choosing approaches appropriate to operational needs.
• Establish platform monitoring, capacity management, recovery procedures and cost visibility.
• Work with security teams to embed controls into platform design and configuration.
• Produce clear documentation and operational handovers so the platform can be maintained by the growing internal team.

What we need

• Strong hands‑on platform or cloud engineering experience in production environments.
• Deep expertise in AWS or Azure, with the ability to work across a wider enterprise technology estate.
• Experience in a regulated industry is essential, ideally financial services.
• Strong infrastructure‑as‑code skills and an understanding of repeatability, configuration drift and environment management.
• Practical knowledge of cloud networking, identity, least‑privilege access and secure handling of sensitive data.
• Experience supporting containerised applications and working closely with software engineering teams.
• Confidence balancing developer usability with security, resilience and operational requirements.

Relevant technology experience

Terraform, Python or Bash, Linux, Git and Docker are particularly relevant. Kubernetes experience is useful where appropriate to the platform design.

AWS experience might include IAM, VPC, S3, ECS/EKS, KMS, Secrets Manager and CloudWatch. Azure equivalents could include Entra ID, VNets, Azure Storage, AKS, Key Vault and Azure Monitor.

Exposure to Snowflake connectivity and access management, private access to managed AI services, and monitoring tools such as Prometheus or Grafana would be valuable.

These are examples of relevant experience, not a requirement to know every product or a statement that every service is deployed.

Contract details

London hybrid, with 2-3 days onsite. Inside IR35. Appointment is subject to the required security screening and clearance process.