Jobs / easyJet
Site Reliability Engineer
easyJet · Luton Airport, ENG, United Kingdom
Luton Airport, ENG, United KingdomHybrid
Remuneration
20% annual bonus potential; 25 days of holiday; pension scheme; life assurance; flexible benefits package; discounted staff travel for friends and family; annual credit toward holiday discounts; electric vehicle lease salary sacrifice scheme; work abroad for up to 30 days a year
Location
Luton Airport, ENG, United Kingdom
Visa sponsorship
No visa sponsorship
This role does not meet the criteria for visa sponsorship; applicants who require sponsorship to work in the UK cannot be considered.
Job summary
The Site Reliability Engineer – FinOps owns the strategy and systems for making AI costs visible, attributable, and controllable across an enterprise. The role instruments model calls for token-level usage, builds near-real-time data pipelines from gateway and billing logs, implements budgets and anomaly controls, and provides cost data through APIs to Finance, Procurement, and engineering teams. The work focuses on AI workload economics, including LLM tokens, context windows, caching, and agent behavior.
Benefits
20% annual bonus potential25 days of holidayPension schemeLife assuranceFlexible benefits packageDiscounted staff travel for friends and familyAnnual credit toward holiday discountsElectric vehicle lease salary sacrifice schemeWork abroad for up to 30 days a year
Qualifications
- Strong background in FinOps, cloud cost engineering, or data engineering focused on AI workloads.
- Understanding of LLM consumption and pricing, including tokens, context windows, caching, and agent behavior.
- Hands-on experience building data pipelines with Python, SQL, and telemetry or observability tools.
- Ability to explain complex consumption data in financial terms and influence teams without authority.
Responsibilities
- Own the strategy for measuring, managing, and optimising enterprise AI costs.
- Instrument model calls to capture token-level usage and cost-relevant context.
- Build near-real-time, queryable data pipelines from gateway and billing logs.
- Implement platform budget caps, token quotas, anomaly alerts, and cost policies.
- Expose AI cost data through APIs for Finance, Procurement, and engineering teams.
Skills
MakePythonWindows
Work schedule
2 days a week working with colleagues
Industry
AirlineTravel
Relocation
No