AI DevOps Engineer

Hiire is helping Blip, a leading tech company focused on software engineering solutions for sports entertainment, hire an AI DevOps Engineer to guide and support their team.

About Blip

Blip is a leading tech company focused on software engineering solutions for sports entertainment.

They operate at scale. As part of Flutter Entertainment, they play an essential role in the Group's goal of becoming the global leader in online sports betting and iGaming, developing innovative products and platforms for over 14 million monthly customers worldwide.

About the role

At Blip, AI isn’t a side project - it’s becoming part of how we think, build, and scale.
We’re looking for an AI DevOps Engineer to help power our next-generation AI initiatives, including our Flutter Assistant Infrastructure and Agentic Platforms.

If you get excited about automation, scalable cloud systems, AI agents, and building platforms that others rely on - keep reading.

What you’ll actually be doing

You’ll be the person helping us turn AI ideas into robust, scalable, production-ready systems.

• Design and operate the infrastructure behind AI platforms and AI agents

• Build secure, scalable, and cost-efficient AI environments in AWS

• Automate everything (yes, everything) using Infrastructure as Code

• Create smooth CI/CD pipelines for AI workloads and deployments

• Ensure observability, reliability, and performance across AI systems

• Work closely with AI engineers, data scientists, and automation teams

• Own deployment standards, best practices, and operational excellence

• Troubleshoot, improve, optimize - and do it again

You won’t just “maintain infra”. You’ll shape how AI runs inside Blip.

What you bring to the table

• Experience working with DevOps / Platform Engineering (ideally in AWS environments)

• Exposure to AI infrastructure, AI agents, MLOps, or similar ecosystems

• Strong Infrastructure as Code skills (Terraform, CDK, CloudFormation)

• Experience with containers and orchestration (Kubernetes is a big plus)

• CI/CD optimization and GitOps workflows

• Comfort working in security-conscious environments

• Bonus points if you code (Python or TypeScript, especially)

You don’t need to be an AI academic expert. But you should understand how AI systems behave in production - and how to make them scalable and reliable.

The mindset we’re looking for

• You take ownership.

• You like building things that other engineers depend on.

• You balance strategy with execution.

• You care about clean architecture and operational excellence.

• You’re comfortable in evolving, fast-moving environments.

Why this role matters

AI is moving fast. We want to build it right.

This role is about creating the foundation that allows AI to scale securely, reliably, and efficiently across the business.

If you want to be close to the future of AI - but with real engineering impact - this is your place.