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Salary: USD 148,000 - 186,000 / annual
Recharge is the subscription platform for the world's fastest-growing and most innovative brands, serving over 20,000 brands globally including quip, Dr. Squatch, Blueland, and others. The Infrastructure Team owns the design, operation, and reliability of Recharge's cloud-native infrastructure platform.
In this Senior DevOps Engineer role, you will operate independently while mentoring less-senior engineers and contributing to how the team works. Key responsibilities include:
- Design, maintain, and support the product platform and operational runtime as an integral part of the infrastructure lifecycle
- Implement new technologies to solve technical challenges while ensuring world-class documentation for the team
- Champion engineering best practices including development techniques, security, tech debt management, TDD, and agile habits
- Debug production and performance bottlenecks across the stack and assist the team with maintenance obligations
- Design and optimize processes using AI (e.g., LLM-assisted development, automated documentation, issue resolution) to improve team productivity
- Participate in a 24x7 weekly on-call rotation, owning incident response and postmortems
- Live by company values: accountability, collaboration, iteration, and attention to detail
You will work with Kubernetes, Helm, Terraform, Google Cloud Platform, GitLab, and related cloud-native technologies. The role requires hands-on depth across infrastructure, observability, CI/CD, and modern DevOps practices.
REQUIREMENTS:
- 6+ years experience with Kubernetes, Helm, Terraform, and related technologies including autoscaling and cluster essentials
- 5+ years experience with system observability (OpenTelemetry and Splunk familiarity is a bonus)
- 5+ years experience in cloud-native environments (GCP preferred; additional cloud environments a plus)
- Experience with Git, source code repositories, CI/CD pipelines, and supporting technologies (GitLab preferred)
- Fundamental understanding of Linux and GNU tooling
- Fundamental understanding of container technologies and build processes
- Fundamental understanding of network concepts
- Familiarity with LLMs and supporting technologies (inference serving, vector databases, GPU workloads), both hosted and self-hosted
- Experience and willingness to deep dive into code (Python, Node, JS, Vue, etc.)
- A knack for engineering simple solutions to solve complex problems
