Cloud Efficiency Engineer – AWS, FinOps

Buildkite

. Trace cost signals to technical causes, including customer-level job costs, state machine changes, GraphQL cost by function, and per-operation unit economics .

Posted 10/31/2026full-timeRemote • AustraliaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AWS cost optimization and systems diagnosis, with a strong ability to translate technical insights into financial outcomes. Proven experience in implementing measurable optimizations and collaborating with engineering teams to drive efficiency in cloud infrastructure.

Highest-signal resume keywords

AWS Cost OptimizationSystems Diagnosis SkillsGraphQL Cost AnalysisDatadog ObservabilityFinOps Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cost ModelingCost AttributionCloud InfrastructureCI/CDDeveloper ToolingUnit EconomicsTechnical DiagnosisCost VisibilityProduction Savings ValidationTrade-Off Analysis

Soft Skills

Influencing Without AuthorityJudgment in Trade-Offs

Tools & Technologies

DatadogAWS

Industry Keywords

ObservabilityFinanceCommercial BackgroundScaled SaaSCost Efficiency

Tech Stack

Tools & technologies

AWSCloudGraphQL

About the role

Key responsibilities & impact

Trace cost signals to technical causes, including customer-level job costs, state machine changes, GraphQL cost by function, and per-operation unit economics
Build and maintain cost models for common and expensive operations
Rank cost-saving opportunities by expected saving, risk, effort, and stakeholders involved
Implement safe, measurable optimisations in owned code or configuration
Partner with engineering teams on larger changes using evidence
Drive Datadog and observability efficiency alongside AWS
Establish baselines before changes and verify realised production savings
Build guardrails and tooling for attribution, alerting, and cost visibility
Translate between engineering and Finance on technical and financial questions

Requirements

What you’ll need

Delivered meaningful, measured AWS savings in a scaled production environment, including the baseline, diagnosis, changes, trade-offs, and verified result
Working engineer who reads code, writes code, and ships changes
Strong systems diagnosis skills
Sound trade-off judgement, balancing savings against reliability risk
Ability to influence teams without direct management authority
Ability to validate results and prove savings are real
Role must be located in either the ANZ or PST timezone
Datadog or observability cost optimisation, FinOps engineering, finance/unit economics, granular cost attribution, GraphQL at scale, developer tooling, CI/CD, cloud infrastructure, scaled SaaS/platform/observability, and finance/commercial background are bonus points, not required

Benefits

Comp & perks

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 EAP & mental health support
Support for learning and growth, with time and budget for conferences, courses, and coaching
Retirement and health coverage (based on your region)