Daylight is a security services company delivering Managed Agentic Security Services (MASS), including MDR, threat hunting, security data lake, and more, through a fundamentally different architecture than traditional security services providers.
Daylight's architecture combines an agentic platform that runs the full cycle from detection to response with security experts from IR and threat hunting backgrounds. The platform collects identity and business context across systems to investigate alerts and continuously learns your environment. Security experts validate decisions, feed insights into the platform, optimize detections, and take over in case of an incident.
The result: security teams move from firefighting to strategic work.
We’re looking for a Cloud FinOps Engineer to own and drive cloud cost optimization across Daylight’s infrastructure. You’ll work hands-on across AWS, Kubernetes, and our data and observability stack to improve efficiency, optimize cloud spend, and build the tooling and processes that help us scale sustainably.
- Own cloud cost as a metric: define, instrument, and report unit economics such as cost per tenant, per GB ingested, and per environment, and drive them down quarter over quarter
- Build cost visibility through tagging and allocation standards, showback across teams and customers, budgets, anomaly detection, and dashboards people actually open
- Find and land savings across compute right-sizing, Karpenter and Spot strategy, commitment coverage, storage lifecycle policies, networking and data transfer, and the long tail of idle resources
- Optimize the cost of our data and observability layers, including streaming ingestion, the data lake and warehouse, and the observability pipeline
- Shift cost left by putting estimates into pull requests and IaC review, so engineers see the price of a change before it ships rather than in next month's bill
- Build and maintain infrastructure as code, our GitOps delivery pipeline, and Kubernetes platform work alongside the rest of the team, and participate in on-call
- Partner with Engineering, Finance, and leadership on forecasting, vendor and contract renewals, and capacity planning
What we're looking for
- 3+ years of hands-on FinOps experience within a medium-sized organization, either as part of a dedicated FinOps team or in a leadership capacity.
- Strong understanding of cloud platforms (AWS, GCP) and how architectural decisions impact cloud costs. Familiarity with Terraform and modern cloud infrastructure is expected. An engineering or DevOps background is a plus.
- A proactive, ownership-driven mindset, with the ability to independently identify cost optimization opportunities and take responsibility for improving cloud financial efficiency.
- Strong analytical skills, with the ability to translate complex cost and usage data into meaningful insights and practical recommendations. Comfortable working with cloud billing platforms and cost management tools.
- Experience working with AI tools, including monitoring and analyzing AI usage, tracking associated costs, and leveraging AI to optimize workflows, improve efficiency, and automate processes.
- Excellent communication and collaboration skills, with the ability to work closely with engineering, product, and leadership teams to communicate financial insights and influence decisions.
- A collaborative approach and the ability to balance technical requirements with financial considerations, aligning stakeholders around common goals.
Why this role
You’ll be the first person at Daylight to own FinOps, so you’ll be building the practice rather than inheriting one. Our infrastructure is modern and fully codified — Terraform, ArgoCD, EKS, and Karpenter — giving you the opportunity to focus on meaningful optimization from day one.
At our stage of growth, the decisions you make now will directly shape our infrastructure efficiency and cost structure as we scale.