📋 Description

• Trace cost signals to their technical causes — down to customer-level job costs & state machine
• Build and maintain cost models for our most common and most expensive operations, so that when the
• Rank the opportunities into a defensible portfolio: expected saving, risk, effort, and who has to
• Implement safe, measurable optimisations yourself where the change sits in code or configuration
• Partner with the engineering teams who own affected systems on the larger work, bringing them
• Drive Datadog and observability efficiency alongside AWS — the second-biggest lever, and often the

🎯 Requirements

• Delivered meaningful, measured AWS savings in a scaled production environment and can walk through
• Working engineer: reads code, writes code, and ships changes.
• Strong at systems diagnosis — can take an ambiguous signal and work it down to a precise cause.
• Sound trade-off judgement — know which savings aren't worth the reliability risk.
• Ability to influence teams you don't manage, because the change that saves the most money will
• Stand behind your numbers; use of AI for methodology is welcome but must prove the results are true.

🎁 Benefits

• Work from anywhere in the world for up to 6 weeks a year, on top of a fully remote setup.
• 20 days paid annual leave plus 10 days sick & carer's leave.
• 16 weeks paid parental leave for primary carers (6 for secondary).
• A remote-work allowance for home-office kit, co-working, or working elsewhere.
• Confidential Employee Assistance Program (EAP) & mental health support.
• Support for learning and growth with time and budget for conferences, courses, and coaching.