AI DevOps Engineer

About Blip.pt

Blip is a leading tech company focused on software engineering solutions for sports entertainment, operating at scale. As part of Flutter Entertainment, we 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. We are serious about Tech, problem-solvers with big ambitions, and maintain a people-first mindset. We prioritize flexibility as we strive to deliver the best technological products and tackle the greatest industry challenges. Recognizing that everyone brings their own strengths, backgrounds, and new perspectives, we empower you to be yourself. That uniqueness shapes the culture of belonging we are so proud of.

The Role of an AI DevOps Engineer

We are seeking an AI DevOps Engineer to design, build, automate, and operate the infrastructure powering Flutter’s AI initiatives, including the Flutter Assistant Infrastructure and Agentic Platforms. As a hands-on contributor, you will implement and support the integration of AI use cases across our AWS Cloud Infrastructure estate, helping to build and optimize systems, implement CI/CD and observability, and handle day-to-day operations. Partnering with brands across the group, you’ll enable faster delivery, modernize AI platforms, and embed automation to ensure scalable, secure, and efficient AI operations for the long term.

Key Responsibilities

• Build and operate a secure, performant, and cost-effective AI Platform.
• Spearhead the transformation of AI deployment and operations using Infrastructure as Code methodologies and automation tooling.
• Lead the development and management of AI Agent Platforms, ensuring robust deployment, orchestration, and monitoring practices.
• Provide repeatable and rapid deployment patterns for AI agents and automation services.
• Assume guardianship of AI infrastructure code and artifact repositories, ensuring they adhere to best practices.
• Enable and support AI engineering, automation engineering, and data science teams with the adoption of AI platform services.
• Triage incidents, problems, and risks impacting AI systems, AI agents, and services.
• Author and oversee a library of technical documentation and reusable design patterns.
• Define, curate, and champion Low-Level Designs (LLDs) for AI platform services.
• Support architecture and function leads with developing the AI technology roadmap and strategy.
• Act as a trusted SME offering advice and knowledge sharing to the broader technology team and internal customers.
• Forge, evangelize, and ensure adherence to best-in-class operating procedures, policies, and operational manuals, setting a gold standard for operational precision.
• Cultivate and nurture relationships with other pivotal Flutter group functions, consistently identifying and seizing opportunities for strategic collaboration.
• Liaise with Third Party vendors and partners.

What You’ll Bring

• Building and operating AI Agent Platforms and AI infrastructure, ideally within highly available AWS environments.
• Proven experience leading or delivering AI infrastructure at scale using automation frameworks.
• Experience troubleshooting AI agents and working with technologies such as MCP (Model Context Protocol), A2A (Agent-to-Agent), and API operations.
• Proficiency with source control management tools (like Git, GitHub, GitOps) coupled with extensive hands-on experience with CI/CD pipeline optimization.
• Proven expertise in curating, managing, and optimizing deployment assets for AI workloads, including container images and model artifacts.
• Demonstrated proficiency in employing Infrastructure as Code methodologies using tools such as CDK, Terraform, and CloudFormation at scale.
• Establish AI observability and site reliability practices to maintain systems within defined SLOs.
• Orchestration and management of container platforms, preferably using Kubernetes.
• Extensive experience delivering and operating systems within security-compliant environments.
• Producing and overseeing comprehensive, clear, and actionable technical documentation.
• Sharing knowledge with your peers and across the wider engineering community.
• Working in an agile environment.
• Incident, change, problem, and risk management.
• Advantageous: Proficiency in high-level programming languages such as Python and TypeScript.
• Bonus points for previous software engineering experience, coding, and automation.

Mastery In

• Building Support: Establish close relationships with stakeholders, underpinned by trust, integrity, and respect.
• Objective: Be impartial and unbiased, ensuring equal treatment for all and decisions based on objective criteria.
• Collaborative: Work effectively and in partnership with stakeholders on shared goals.
• Adaptable: Understand and appreciate different perspectives, adapting approaches for successful outcomes.
• Strategic Thinking: Consider the big picture to support divisions in achieving competitive advantage.
• Strategic Communication: Proactively and considerately communicate with stakeholders, offering constructive feedback.

Key skills/competency

• AI Infrastructure
• AWS Cloud
• DevOps
• Infrastructure as Code (IaC)
• CI/CD
• Kubernetes
• Terraform
• Automation
• Observability
• AI Agent Platforms