What You'll Accomplish
- Demonstrate the ability to analyze, troubleshoot, coordinate, and resolve complex infrastructure issues
- Orchestrate Kubernetes infrastructure across multiple networks and AWS accounts
- Own our Infrastructure as Code Orchestration that allow application teams to consume AWS cloud services through automation and self-serve capabilities
- Develop automation workflows to improve team efficiency
- Analyze and improve efficiency, scalability, and stability of various system resources
- Partner with other teams and business stakeholders to deliver business initiatives
- Be a technical leader and initiate discussions with a cross company impact.
- Be the owner of large scope projects, facilitate alignment across teams on outcomes, priorities and timelines
Your Expertise
- You have been working in the areas of Site Reliability Engineering / DevOps / Infrastructure for 8+ years, and have an understanding of best practices
- You have experience building infrastructure in a microservices architecture
- You have a background in software development and are passionate about bringing that experience to bear on the world of infrastructure
- You have owned and built Infrastructure as Code self-serve platforms using Terraform and can’t imagine a world without it
- You understand the importance of CI/CD in building high-performing teams and have worked with tools like Jenkins, CircleCI, and ArgoCD
- You are passionate about observability and worked with tools such as Splunk, Nagios, Sensu, Datadog, New Relic
- You are very familiar with containers and container orchestration and have direct experience with vanilla Docker as well as Kubernetes as both a user and as an administrator
- You are comfortable with the OSI networking model and have experience debugging or creating solutions that start at layer 7 down to layer 3
What We Use
- Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS
- Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm
- Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Kinesis, AirFlow, Postgres, Planetscale, and Redis, hosted via AWS
- Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and PlaywrightOur automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas
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