Site Reliability Engineer - Fin Ops

We are easyJet – a FTSE-250 listed, £multi-billion low-cost airline that serves tens of millions of customers every single year. If you’re reading this, you have probably already been an easyJet customer, and you’ll know that there is no more iconic (or Orange!) travel brand in Europe.

We fly more than 1,207 routes, connecting 38 countries across Europe, and employ more than 18,000 colleagues. We’re on a mission to make low-cost travel easy – and whatever your role here, you’ll connect millions of people to what they love using Europe’s best airline network, great value fares, and friendly service.

What makes us easyJet? Our Promise Behaviours – we are Safe, Bold, Welcoming and Challenging. Four Behaviours. One Spirit. One easyJet.

Join us as our Site Reliability Engineer – FinOps and help reshape how airline and travel companies work with AI.

Site Reliability Engineer - Fin Ops

You’re an engineer who wants every AI token, model call and agent decision to be observable, attributable and under control.

AI cost behaves differently from traditional software spend. It moves with every token, call and agent action, so monthly reporting and manual spreadsheets are not enough. easyJet wants a real-time view of what AI costs per person, per task and per outcome.

“We’re looking for someone who can combine strong engineering with a real understanding of cost. You’ll make AI spend observable by default, trace anomalies to their source and build the controls that help teams move quickly without losing financial discipline.”

Head of IDAM & Hosting

The team & culture

You’ll join Enterprise AI within Technology Strategy & Innovation, working as the hands-on owner of AI cost visibility. You’ll partner daily with platform and data engineers, AI routing teams, governance and catalogue owners, Finance, Procurement and value realisation colleagues. The team is new, fast-moving and focused on building practical capability rather than producing reports that nobody uses.

Diversity isn't a checkbox — it's how we fly

Building reliable and financially responsible AI means challenging assumptions and looking at systems from different perspectives. Whatever your background, if you combine engineering curiosity with clear judgement and collaborative working, we’d like to hear from you.

Luton | Full-time | Hybrid

We support hybrid working, and you’ll spend 60%25 of your time each month in the office.

Reasonable Adjustments

At easyJet, we are dedicated to fostering an inclusive workplace that reflects the diverse customers we serve across Europe. We welcome candidates from all backgrounds. If you require specific adjustments or support during the application or recruitment process, such as extra time for assessments or accessible interview locations, please contact us at [email protected]. We are committed to providing reasonable adjustments throughout the recruitment process to ensure accessibility and accommodation.

Ready to make every AI cost visible, reliable and actionable? Apply now.

• 20%25 bonus • 7%25 pension • Staff travel benefits

• > Competitive base salary + up to 20%25 bonus

• > 7%25 employer pension contribution

• > Private medical insurance

• > 25 days holiday + bank holidays

• > Annual credit towards an easyJet holiday

• > Excellent staff travel benefits

• > Flexible benefits package including share schemes

As Site Reliability Engineer - Fin Ops, you’ll build the instrumentation, data pipelines and automated guardrails that make AI consumption visible and controllable. Your work will help engineers choose models, Finance reconcile spend, product teams understand unit costs and leaders make informed investment decisions.

You’ll bring experience in site reliability engineering, FinOps, cloud cost engineering or data engineering, ideally supporting AI workloads. You understand how large language models are consumed and priced, including tokens, context windows, caching, model selection and agent behaviour.

You’ll be hands-on with system instrumentation and automated data pipelines using tools such as Python, SQL and modern data platforms. You’ll also have experience with telemetry and observability tooling, ideally including observability for LLM-based services.

You can translate detailed consumption data into clear financial language and work effectively across Engineering, Product and Finance. You’ll be comfortable influencing without direct authority and moving quickly through ambiguity.

FinOps Foundation certification, including the AI Value credential, would be useful. Experience with GPU or model-hosting costs, API and schema design, variable-cost forecasting, AI governance, aviation or another operationally complex sector would also be valuable, but is not essential.