DevOps Engineer

Prism Digital
London, United Kingdom
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Amazon Web Services Amazon Elastic Compute Cloud Microsoft Azure Big Data Software as a Service Cloud Computing Cloud Engineering Databases Continuous Integration DevOps Digital Data Github
+13 more
PostgreSQL MongoDB Performance Tuning Next.js TypeScript Pulumi Multi-Cloud Kubernetes Low Latency AWS Fargate Data Management Route53 Serverless Computing

Job description

You’ll be joining a forward-thinking tech group made up of three innovative companies, a creative media brand, a marketing agency, and a SaaS analytics platform redefining how digital data connects the physical world. Your mission: help scale cloud infrastructure across all three brands as they move through a high-growth phase, bringing stability, automation, and next-level reliability to their systems.

You’ll take the lead on infrastructure strategy and hands-on delivery, working closely with another experienced DevOps Lead. With billions of data points flowing through the platform and projects that push boundaries in encrypted consumer technology, this is an opportunity to make a huge technical and strategic impact.

Requirements

Strong DevOps or Cloud Engineering experience (5+ years)

Pulumi - used for all IaC

AWS, especially ECS, EC2, Route53, and networking

Fargate or equivalent i.e. Kubernetes, although you will not be using Kubernetes in this company

Data appreciation: Experience managing databases at scale. Our client uses MongoDB Atlas and PostgreSQL on Aurora

Strong data-handling mindset, you’ll be working with billion-row dataset

Solid understanding of scalable, resilient infrastructure design (multi-region, multi-cloud)

Ability to set up new technologies independently and optimise for latency, speed, and cost

What You’ll Work With

IaC: Pulumi with TypeScript

Data: MongoDB Atlas, Postgres on Aurora Serverless

Pipelines: GitHub Actions for CI/CD

Hosting: Fly.io and Vercel for front-end deployments

Scale: Multi-region replication, 3-cloud backups, and private Azure failover

Nice to Haves

Experience with Kubernetes or migration to Fargate

Background in performance optimisation for large-scale data systems

Exposure to analytics, media, or streaming environments

Strong mentoring or leadership experience in a small engineering team

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