Support and build systems and tools that enable other engineers to generate, deploy, and manage product features and models both quickly and safely.
Deploy and support a multi-cloud, micro-service architecture, including infrastructure tailored for ML workloads, deployed via Github Actions, ArgoCD & Kubernetes.
Collaborate with other engineers, particularly the Machine Learning team, to architect secure, resilient, scalable, and cost-efficient applications and ML systems/pipelines in AWS and GCP.
Foster and push our DevOps culture and philosophy by encouraging continuous improvement across all engineering teams.
Proactively maintain the health of production environments, including monitoring application performance and resource utilization.
Participate in 24/7 on-call rotation, respond to system performance issues and outages.
Debug code at the application and infrastructure level.
Mature our CI/CD workflows and release process.
Maintains a forward-thinking approach, actively researching and proposing new solutions.
Propose and review Engineering Request for Comments (RFC) to drive Engineering architecture and practices.

Requirements

7+ year job history designing, managing, deploying, and supporting Cloud Infrastructure in a production environment using major public cloud providers (GCP experience a huge bonus)
Knowledge of GitOps including an understanding of modern CI/CD pipelines, techniques and technologies (Github Actions, GitLab, CircleCI, Argo CD, Flux)
Proficiency with IaC and configuration management tools (Terraform, Terragrunt, OpenTofu, Crossplane, Pulumi)
Production experience architecting, managing, deploying, and supporting container based workloads into Kubernetes clusters
Strong problem-solving experience, focusing on automation
Proven track record of building and scaling reliability practices, including SLO/SLI frameworks, incident management, and capacity planning.
Heavy Production experience with observability platforms and practices (Prometheus, Grafana, Chronosphere, Datadog, OpenTelemetry); ability to design monitoring strategies for complex distributed systems.
Knowledge of cloud networking (Mesh, NAT, Load Balancers, API Gateways, proxies, etc), cloud security, and cost optimization strategies.
Strong written and verbal communication, organization, and documentation skills

Benefits

Flexible PTO
Medical, dental, and vision insurance with FSA options
Company-paid life insurance
Paid parental leave
401(k) with company match
Professional development opportunities
10+ paid holidays off
Summer Fridays (we leave early)
In-office, hybrid, and fully-remote work options available
In-office lunches and lots of free food
Optional in-person and virtual events (we like to celebrate!)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Cloud InfrastructureCI/CDGitOpsIaCKubernetesTerraformPrometheusGrafanaAWSGCP

Soft Skills

problem-solvingcommunicationorganizationdocumentationcollaborationcontinuous improvementproactive maintenanceincident managementcapacity planningforward-thinking