A full-time remote SRE role on enterprise-grade production infrastructure. You run and improve Kubernetes on AWS, own observability and incident response, and build the automation that takes manual operations work off the team. A fit if you have kept large production systems up and want to do it remotely.
What you will do
- Build, run and improve highly available, scalable production infrastructure.
- Manage Kubernetes production environments and design cloud infrastructure, mainly on AWS.
- Set up and maintain observability with Datadog or a similar tool: monitoring, alerting, logging and tracing.
- Investigate production incidents, find the root cause and put lasting fixes in place.
- Write automation and internal tools that cut manual operations work.
- Work with software teams on deployments and reliability, and help shape infrastructure architecture for complex distributed systems.
What you need
- Professional experience in infrastructure engineering, SRE, platform engineering, DevOps or production engineering.
- Strong production experience with Kubernetes and with AWS and cloud-native infrastructure.
- Experience with Datadog, Prometheus, Grafana or a comparable observability tool.
- Infrastructure as Code with Terraform, Pulumi or similar, plus CI/CD and deployment infrastructure.
- A solid grasp of distributed systems, networking, containers, Linux and cloud architecture.
- Strong debugging and incident-response skills, and at least one language such as Python, Go or Bash.
- You must be able to commit full-time.
Strong signals: running Kubernetes and cloud at large scale, supporting high-traffic or mission-critical apps, owning on-call, incident response or capacity planning, and measurable gains in SLOs, observability or deployment reliability.
How pay works
This job is paid by the hour at a listed rate of $200/hr. The listing says pay reflects your experience.
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