Skills

Full description

Design and build scalable, secure, highly available AWS infrastructure for our critical systems, with automation at the center and uptime and reliability as the goal
Partner with developers on architecture decisions to improve the reliability, performance, scalability, and security of our servers and applications
Keep us secure by default: tackle vulnerabilities early and raise our cybersecurity readiness
Be the last line of support for services our customers depend on 24/7. You’ll troubleshoot on-call incidents, join a weekly on-call rotation, and lead Root Cause Analysis so the same problem doesn’t come back
Build the tools and automation other engineers use every day, and mentor DevOps engineers and teams across the company
Help us bring AI into our DevOps and SRE workflows. We’re redesigning how every role works with AI, and this one is no exception
On-call: Weekly on-call rotation

A track record of resolving complex on-call incidents and leading RCAs that lead to lasting fixes
Engineer-level knowledge of networking and security, plus a solid grasp of load balancing fundamentals
Experience with CI/CD and build/deploy automation tooling (GitHub, GitHub Actions, Jenkins, JFrog Artifactory, GitOps)
7+ years in an Ops, DevOps, or SRE role, with real system design and architecture experience
Strong infrastructure-as-code skills with Terraform, working as part of a multi-user infrastructure team
Hands-on AWS experience (IAM, VPC, EC2, ELB, RDS, S3, Lambda, API Gateway, Secrets Manager, KMS, CloudWatch, CloudTrail), including multi-account management, permissions structures, and SSO. Azure or GCP experience is welcome too
Comfort reading Java, Ruby, Bash/Zsh, HCL, Python, and JavaScript
A service reliability mindset, and the ability to work independently and as part of a team
Experience running enterprise monitoring tools like Prometheus, Grafana, or DataDog
Layer 7 load balancing experience
Container orchestration experience (ECS/EKS)
SOC2 compliance experience
Chef or Puppet configuration management experience
Curiosity about our stack: Java, Python, NoSQL, MongoDB, Postgres, React, Terraform/Terragrunt, Chef, DataDog, and Prometheus

Staff DevOps Engineer

Compensation

Not disclosed

Location

United States

Work setup

Remote

Seniority

Staff

Employment

Not specified

Experience

7+ years

Design and build scalable, secure, highly available AWS infrastructure for our critical systems, with automation at the center and uptime and reliability as the goal
Partner with developers on architecture decisions to improve the reliability, performance, scalability, and security of our servers and applications
Keep us secure by default: tackle vulnerabilities early and raise our cybersecurity readiness
Be the last line of support for services our customers depend on 24/7. You’ll troubleshoot on-call incidents, join a weekly on-call rotation, and lead Root Cause Analysis so the same problem doesn’t come back
Build the tools and automation other engineers use every day, and mentor DevOps engineers and teams across the company
Help us bring AI into our DevOps and SRE workflows. We’re redesigning how every role works with AI, and this one is no exception
On-call: Weekly on-call rotation

A track record of resolving complex on-call incidents and leading RCAs that lead to lasting fixes
Engineer-level knowledge of networking and security, plus a solid grasp of load balancing fundamentals
Experience with CI/CD and build/deploy automation tooling (GitHub, GitHub Actions, Jenkins, JFrog Artifactory, GitOps)
7+ years in an Ops, DevOps, or SRE role, with real system design and architecture experience
Strong infrastructure-as-code skills with Terraform, working as part of a multi-user infrastructure team
Hands-on AWS experience (IAM, VPC, EC2, ELB, RDS, S3, Lambda, API Gateway, Secrets Manager, KMS, CloudWatch, CloudTrail), including multi-account management, permissions structures, and SSO. Azure or GCP experience is welcome too
Comfort reading Java, Ruby, Bash/Zsh, HCL, Python, and JavaScript
A service reliability mindset, and the ability to work independently and as part of a team
Experience running enterprise monitoring tools like Prometheus, Grafana, or DataDog
Layer 7 load balancing experience
Container orchestration experience (ECS/EKS)
SOC2 compliance experience
Chef or Puppet configuration management experience
Curiosity about our stack: Java, Python, NoSQL, MongoDB, Postgres, React, Terraform/Terragrunt, Chef, DataDog, and Prometheus