FinOps Engineer
Blitzy · Cambridge, Massachusetts
- Compensation
- $170k - $220k/yr
- Location
- Cambridge, Massachusetts, United States
- Employment
- Full time
- Level
- Mid level
- Posted
- Yesterday
About this role
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 FinOps 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 FinOps 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 FinOps 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 FinOps, 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 FinOps 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
FinOps Certified Practitioner or equivalent certification
Experience with cloud cost management platforms (e.g., CloudHealth, 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, multi-environment infrastructure
What Makes This Role Different
As our first FinOps hire, you'll define the practice company-wide, with direct visibility into how infrastructure spend connects to Blitzy's unit economics and executive reporting - all while working in close, overlapping hours with our US-based Finance and Engineering teams.
Our Culture
Who we are:
Led by two pioneering co-founders we are one of the fastest growing companies in the U.S., creating our own category of enterprise autonomous software development. We automate thousands of hours of software development for our customers, which includes strong representation within the Fortune 500.
How we work:
We move Blitzy Fast: Time is both our company's and our clients' most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally.
Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission.
Passion for Invention: We're pushing the frontier of what's possible, requiring constant innovation and iteration.
We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships into deep, meaningful partnerships.
We believe in being 'everyday athletes' - taking care of ourselves so we can bring our best minds to work. We promote great sleep, movement, and restorative activities for optimal mental performance. It makes for a happier and more productive team.
Blitzy is an equal opportunity employer committed to building a diverse and inclusive team. We believe different perspectives make us stronger.
As published by Blitzy. Applications are handled on their site.
Skills this posting mentions
About Blitzy
Meet Blitzy, the only autonomous code generation platform with infinite code context, purpose built for large, complex enterprise-scale codebases. While other AI coding tools provide snippets of code and struggle with context, Blitzy ingests millions of lines of code and orchestrates thousands of agents that reason for hours to map every line-level dependency. With a complete contextual understanding of your codebase, Blitzy is ready to be deployed at the beginning of every sprint, creating a bespoke agent plan, then autonomously generating enterprise-grade, premium quality code, grounded in a deep understanding of your existing codebase, services, and standards. Blitzy’s orchestration layer of cooperative agents thinks for hours to days, autonomously planning, building, improving, and validating code. It executes spec and test driven development, done at the speed of compute. The platform completes more than 80% of the work autonomously, typically weeks to months of work, while providing a clear action plan for the remaining human development. Used for both large scale feature additions and modernization work, Blitzy is the secret weapon for Fortune 500 companies globally, unlocking 5x engineering velocity and delivering months of engineering work in a matter of days. Blitzy was co-founded by Brian Elliott, a serial entrepreneur, and Sid Pardeshi, an ex-NVIDIA software architect with 27 Generative AI patents to his name.
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