FinOps Engineer

About Blitzy

Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We're transforming how enterprises build software, turning enterprise requirements into production-ready code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work.

We're backed by multiple tier 1 investors, and have proven success as founders of previous start-ups.

Location: Cambridge, MA

Compensation: $170,000 - $220,000 base (bonus + equity commensurate with experience)

The Role

We're looking for a Fin Ops Engineer to join our team and build our infrastructure cost optimization practice from the ground up. You'll own cloud cost governance across AWS, Azure, GCP, and our on-premises environments, partnering closely with our Engineering, Platform, and US-based Finance teams to turn infrastructure spend into a source of strategic advantage rather than a line item to manage.

This is an opportunity to define how Blitzy thinks about cost as we scale — from forecasting and tagging standards to the cost allocation platform that powers our unit economics.

What Success Looks Like

• Cloud spend across AWS, Azure, GCP, and on-prem is actively optimized, with clear, ongoing reductions that don't compromise reliability or performance.

• A company-wide Fin Ops practice is in place — governance, forecasting, budgeting, and tagging standards that engineering and finance both trust.

• Finance can reliably attribute infrastructure costs to products, services, and customers, giving leadership accurate COGS reporting and unit economics.

• Dashboards and data pipelines give engineering and finance one shared, trusted view of infrastructure costs across every cloud provider.

• Cost considerations are built into how Engineering and Platform teams design infrastructure, run Kubernetes, and make architecture decisions — not bolted on after the fact.

Areas of Ownership

• Own infrastructure cost optimization across AWS, Azure, GCP, and our on-premises environments by identifying opportunities to reduce spend while maintaining reliability and performance.

• Build and own a company-wide Fin Ops practice, including cloud cost governance, forecasting, budgeting, tagging standards, and executive reporting.

• Partner with Finance to design and implement a cost allocation platform that accurately attributes infrastructure costs to products, services, and customers, enabling COGS reporting and unit economics.

• Develop dashboards, analytics, and data pipelines that consolidate billing and operational data from multiple cloud providers, giving engineering and finance a single source of truth for infrastructure costs.

• Work closely with Engineering and Platform teams to incorporate cost optimization into infrastructure design, Kubernetes operations, and cloud architecture, ensuring cost is considered alongside scalability, security, and reliability.

Required Experience

• 4+ years of experience in Fin Ops, cloud cost optimization, or a related infrastructure/finance-facing engineering role

• Hands‑on experience managing cost across at least two major cloud providers (AWS, Azure, GCP)

• Working knowledge of Kubernetes cost management and how workload design decisions impact spend

• Experience building dashboards and data pipelines that consolidate multi‑source billing and usage data

• Familiarity with Fin Ops frameworks and practices — tagging governance, forecasting, budgeting, and chargeback/showback models

• Strong written and verbal communication skills, with the ability to work across time zones and maintain overlap with our US‑based Finance and Engineering teams

What Makes You Stand Out

• Fin Ops Certified Practitioner or equivalent certification

• Experience with cloud cost management platforms (e.g., Cloud Health, Cloudability, Kubecost, native cloud cost tools)

• Background building or scaling a cost allocation model tied to COGS or unit economics reporting

• Experience partnering directly with Finance teams, not just Engineering

• Prior experience at a fast‑growing startup managing multi‑cloud,…