DevOps Engineer

Responsibilities

• Develop/expand/maintain infrastructure on GCP and AWS
• Interact with and maintain Kubernetes clusters on GCP (GKE). Work with developers to deploy applications on Kubernetes. Help them with issues they may face deploying applications on Kubernetes.
• Work with helm charts deployed through ArgoCD, help developers create charts for new applications, maintain existing ones, encourage best practices
• Configuring firewall rules, network policies, identifying and resolving networking issues.
• Developing/maintaining/encouraging monitoring best practices (e.g. metrics for observability and alerting). Guide developers on what type of observability metrics matter for their apps.
• Developing/maintaining CI/CD process. Research new tech/tools/techniques that could improve the process. Work with developers to resolve issues with the process.
• Work closely with the security team to ensure infrastructure and CI/CD processes comply with security best practices. Enforce strict RBAC on applications and users - use best practices for this. 
• Ensure image builds are following best practices (e.g. reduce bloat, build times, vulnerabilities are accounted for, up-to-date).
• Ensure applications running on Kubernetes are secure and isolated from other apps; do not have more privileges than required. 
• Write automation tools/scripts.
• Maintain infrastructure as code. Transition existing infrastructure to IaC.
• Find tech/tools that can help solve new problems or existing in-efficiencies.

Requirements

• Strong Kubernetes experience application-side (e.g. deployments, services, ingress, service account, RBAC, network policies)
• Good understanding of Kubernetes architecture/networking (e.g. control plane, app nodes, Kubelet, traffic routing)
• Experience with GCP/AWS 
• Understand basic Networking concepts (e.g. VPC, subnets, firewall rules, ports, peering)
• Good scripting skills (with shell, python, typescript)
• Strong understanding of basic CI/CD processes (e.g. restricted branches, MRs, environments, verification)
• Strong understanding of container concepts, experience w/ Dockerfiles, image build best practices.
• Strong debugging skills - ability to pinpoint issues based on understanding of infrastructure/architecture.
• Strong documentation skills

Bonus

• Experience with Datadog
• NodeJS and Python experience
• Experience with Gitlab CI/CD - how gitlab Kubernetes runner works.
• Worked with Nginx controller
• Advanced helm concepts (e.g. using tpl for templating, sub charts, storing charts in registry)
• Experience with Terraform
• Experience with Kubernetes Webhooks
• Experience with Golang
You’ll have a great time here if you:
• Enjoy working along-side other teams and bridging communication between teams.
• Love finding unique ways to solve problems.
• Take feedback from team members to surface new problems.