Staff Software Engineer leading FinOps initiatives to optimize cloud costs, mentor engineers, and drive infrastructure improvements across AWS/Kubernetes environments. Requires 5+ years cloud experience and bachelor's degree.
180k – 240k/yr
Remote5+ YOEDevOps / SRE
About the role
What You’ll Accomplish
Spearhead FinOps initiatives to increase cost transparency and optimize resource utilization across teams
Provide guidance and mentorship to engineers on cost-optimization best practices
Collaborate with teams across the organization to implement cost-saving measures
Analyze, troubleshoot, coordinate, and resolve complex infrastructure issues
Proactively lead infrastructure initiatives that have a company-wide impact
Partner with engineering teams to influence cost-effective architectural and design choices
Develop automation workflows to enhance team productivity and efficiency
Foster a culture of continuous improvement by encouraging innovative thinking and challenging established norms
Your Expertise
Bachelor's degree in Computer Science, Engineering, or related field; Master’s degree preferred
2+ years of experience in FinOps or cloud cost management
5+ years of experience in cloud infrastructure management, development or related roles
Proficiency in some of the following technologies: AWS, Datadog, Kubernetes, Vantage, Terraform, Java
Strong analytical and problem-solving skills with a keen attention to detail
Excellent communication and leadership abilities
Ability to work collaboratively in a cross-functional team environment
What We Use
Infrastructure runs primarily in Kubernetes hosted in AWS’s EKS
Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm
Backend is Java / Spring Boot microservices, built with Gradle, coupled with DynamoDB, AirFlow, Postgres, and Redis, hosted via AWS
Frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright
Automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace, PyTorch, TensorFlow, and Pandas
Compensation (US): Base salary range $180,000 - $240,000 annually + equity + benefits.
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