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Lead Software Engineer – Kubernetes

Lead Software Engineer – Kubernetes

CompanyAppian
LocationMcLean, VA, USA
Salary$Not Provided – $Not Provided
TypeFull-Time
Degrees
Experience LevelSenior, Expert or higher

Requirements

  • Expertise in working with AWS or other cloud infrastructures like Azure or Google Cloud, and using Infrastructure-as-Code tools
  • Expertise working in Kubernetes ecosystem (e.g. Cilium, Istio, Knative, Keda)
  • Experience coaching junior engineers and driving projects to impact
  • Fluency in reviewing architecture / designs from team members, identify problems, and make suggestions for better practices
  • Familiarity with conducting code reviews looking out for the elegant approach, performance, maintainability, and security
  • Familiarity with DevOps, Release Engineering and trends including CI/CD
  • Familiarity with infrastructure as code (e.g. Terraform)
  • Familiarity with networking and information security in the cloud (e.g. VPN, compliance, etc.)
  • Focus on keeping automated infrastructure up-to-date as dependent technologies evolve and scale
  • Interest in automating every aspect of our development lifecycle and help us in our mission to achieve continuous delivery
  • Excellent spoken and written communication with both technical and non-technical people
  • Ability to identify dependencies between multiple teams. Ability to communicate blockers and escalate as needed
  • Familiarity with leading response for severe issues, minimizing pain for the customer, weighing trade-offs in the moment; communicating clearly and concisely to the customer about the problem and solution

Responsibilities

  • Helping re-architect the platform on public clouds to allow for frequent, predictable and high impact changes
  • Ensuring that our world-class infrastructure is always available, responsive, and capable of meeting the diverse needs of a dynamic and high-powered development team
  • Working as part of an agile and global team to transform our architecture to a modern services architecture that makes it easy for feature teams to leverage microservices and containerization technologies

Preferred Qualifications

    No preferred qualifications provided.