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AttentiveAttentiveUnited States

Staff Software Engineer, Cloud FinOps

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.

Skills

AWSKubernetesDatadogTerraformJavaSpring BootIstioHelmDynamoDBVantage

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