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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # FinOps Engineer - **Company:** BLITZY INC. - **Location:** Cambridge, MA, United States - **Experience:** Experienced - **Salary:** $170,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Cloud Engineering, Operational Data Store, Google Cloud, Kubernetes, Cloud Optimization, Data Pipelines - **Published:** August 2, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=0d79e50fed24841b ## About the Role * 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 ## Description 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Move Fast, Break Budgets: FinOps in the Age of DevOps and AI](https://www.wearedevelopers.com/videos/2016-move-fast-break-budgets-finops-in-the-age-of-devops-and-ai) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) - [Mastering AWS Cost Optimization: Real-world technical and operational cost-saving best practices](https://www.wearedevelopers.com/videos/1408-mastering-aws-cost-optimization-real-world-technical-and-operational-cost-saving-best-practices) ## Related Articles - [DevOps Engineer Salary [2023]](https://www.wearedevelopers.com/magazine/203-devops-engineer-salary-2023) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Best Companies to work for in London: Top 25 Companies in 2023](https://www.wearedevelopers.com/magazine/187-best-companies-to-work-for-in-london-top-25-companies-in-2023) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)