Middle DevOps Engineer

LoopMe is an AI company solving one of advertising's hardest problems: making brand advertising actually measurable — and making it perform. Our platform runs patented machine learning models across billions of consumer signals in real time, optimising campaigns toward outcomes like purchase intent, brand lift, and foot traffic rather than proxy metrics like clicks. The result is 2–5x better performance than industry benchmarks, at scale.

We operate a high-load programmatic infrastructure — processing millions of ad requests per second with sub-200ms response times globally. This isn't a layer on top of someone else's stack; it's built from the ground up, in-house, by the team you'd be joining. Founded in 2012 and headquartered in London, we now have 400+ people across 19 cities and have sustained 40% revenue CAGR since 2018. The engineering problems here are real, the ownership is genuine, and the scale is significant.

Do you want to work with patented AI technology and develop high-performance solutions? If so, we have the perfect job for you at LoopMe!

We are a global team of skilled engineers who develop and maintain real-time bidding platforms for leading advertisers worldwide. Leveraging technologies such as Java, Postgres, Clickhouse, Kafka, you will be instrumental in scaling performance, optimizing cloud infrastructure, and creating innovative features across our product portfolio. 

Our strong AI orientation extends beyond our products; we use enterprise tools like Claude Code Enterprise and Gemini Enterprise for internal automation, application development, infrastructure management, and optimization.

As the market leader in AI, LoopMe uses agile methodology to deliver product features at a fast pace. Join us and be a part of our mission to push the boundaries of what is possible in the advertising industry!

We're looking for a Software Engineer with experience designing, building and maintaining high-scale, big-data distributed systems. You'll work closely with a strong team of 16 DevOps engineers across the company to deliver a stable and highly scalable product.

• →Collaborate on designing and setting up new features and system improvements.
• →Manage and optimize cloud infrastructure on Google Cloud Platform (GCP).
• →Managing, optimizing, and maintaining our diverse database ecosystem (10+ technologies).
• →Designing and scaling our microservices-oriented architecture across numerous Kubernetes clusters spread across several continents.
• →Update and maintain software processes and tools.
• →Bring in current IT best practices to our setup.
• →Work on reducing costs for the solutions we use.
• →Drive automation and optimization initiatives across application development and infrastructure management using enterprise AI tools.

Essential:

• 3+ years of experience in Cloud Infrastructure or Software Development.
• 3+ years of hands-on Kubernetes experience.
• 2+ years of experience with GCP, AWS, or Azure.
• Experience with scripting (Python, Bash, Go, or similar).
• Experience building and maintaining CI/CD pipelines.
• Experience with Infrastructure as Code.