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Job Overview
Board Intelligence is a technology and advisory firm that supercharges boards with the science of board effectiveness. We build better businesses and benefit society. Through a suite of AI-powered software tools, evaluation frameworks, and advisory services that distil twenty years of boardroom experience, we improve the efficiency of board processes and the effectiveness of boards. We work with over 80,000 leaders and 3,000 organisations across the world, with clients across the Fortune 500, FTSE 100, and OMX 30. In 2024 we received substantial backing from K1 Investment Management – the leading B2B Enterprise SaaS investors. We are at the beginning of significant growth, and we’re looking for superb talent to join us on this journey.
The Role
As Senior DevOps Engineer you will own the design, delivery, and continuous improvement of our cloud infrastructure across Google Cloud Platform and AWS. You will work across a genuinely varied brief: multi-cloud architecture, Kubernetes cluster management, cloud migration, CI/CD, and tackling the kind of legacy tech debt that accumulates in a fast-growing business.
This is a hands-on role with real scope to shape how we build and operate infrastructure at scale. You will work closely with engineering, product, and IT teams, and you will be expected to bring both technical depth and a strong point of view on what good looks like. You will also be someone who keeps a close eye on how AI is changing the DevOps landscape and brings that thinking into how we work.
Main Responsibilities
Cloud infrastructure and architecture
Architect and deploy robust, multi-cloud systems across GCP and AWS, ensuring scalability, reliability, and strong performance
Lead cloud migration projects, including on-premises to cloud transitions, hybrid solutions, and infrastructure automation across multiple sites and providers
Build infrastructure that scales with rapid business growth, including integrating and automating diverse tech stacks acquired through new market expansion
Manage Kubernetes clusters, optimising containerised workloads through provider-managed services and continuously improving efficiency and reliability
Engineering standards and practices
Establish and evolve best practices for CI/CD, infrastructure as code using Terraform, and system performance monitoring
Lead critical upgrades, patching, and infrastructure clean-up to de-risk legacy systems and strengthen our technical foundation
Identify, diagnose, and resolve infrastructure challenges proactively and independently
Keep pace with AI-driven developments and emerging DevOps tooling, bringing relevant innovations into how we operate
Collaboration and stakeholder engagement
Work closely with engineering, product, and IT teams to align infrastructure goals with business needs
Communicate clearly about infrastructure decisions, trade-offs, and risks to both technical and non-technical stakeholders
Contribute to a culture of shared ownership, continuous improvement, and engineering excellence across the team
Requirements
We are open-minded about background, and we care more about how you think and operate than whether your CV maps perfectly to the list below. The strongest candidates will likely bring:
The essentials
Extensive experience designing and managing scalable, multi-cloud environments across GCP and AWS
Advanced expertise in Terraform for infrastructure as code
Proven experience leading cloud migration projects, including on-premises to cloud transitions and hybrid infrastructure
Deep expertise in Kubernetes, including optimising and managing containerised workloads at scale
A track record of tackling complex tech debt, driving critical upgrades and risk mitigation with a business-focused approach
Strong understanding of modern DevOps practices including automation, observability, and CI/CD pipeline management
Experience working in high-growth environments where tech stacks change quickly and priorities shift
The mindset
Proactive and hands-on. You identify what needs doing and get on with it
Commercially aware. You make infrastructure decisions with business impact in mind, not just technical elegance
Curious about where the DevOps and AI space is heading and keen to bring that thinking into your work
A strong communicator who can work effectively across engineering and non-engineering teams
Comfortable with ambiguity and able to prioritise well when everything feels urgent
Our tech stack
Cloud: Google Cloud Platform and AWS
Infrastructure as code: Terraform
Containerisation: Kubernetes across cloud and on-premises datacentres
Product stack: Ruby on Rails backend, React frontend, some Clojure services
CI/CD: in active development and improvement
You will be a great fit if
You are a thoughtful problem solver
We operate in a fast-moving environment where priorities evolve and technical challenges require sound judgement. You bring strong architectural thinking, make considered infrastructure decisions, and are comfortable navigating ambiguity while maintaining high standards.
You take ownership end to end
You are comfortable taking a problem from initial diagnosis through to a production-ready solution. You take responsibility for outcomes and balance performance, security, reliability, and maintainability without needing