Job Description

Location 

Remote or San Francisco, CA

Overview

We are looking for a Senior or Staff DevOps Engineer with a minimum of 5 years of experience to join our foundations engineering team. We are looking for someone who has seen the challenges of scaling infrastructure in a startup environment and is comfortable working through ambiguity and technical debt to build the foundations that will support our continued growth and massive enterprise customers. This person will be a key player in driving new data and services strategies, critical to delivering on our re-architecture strategy as we scale.

What will you be doing?

• Work with the engineering team to produce highly performant, reliable, and scalable architectures for our largest customers.
• Improve the sophistication of our deployment pipelines and build self-serve infrastructure tooling (like Atlantis) to enable other engineering teams to move faster.
• Develop isolated deployment capabilities (managed VPCs) for upmarket customers within their hosted ecosystems (AWS, Azure, GCP).
• Lead large projects from initial inception to production, participating in roadmapping, architecture, and planning discussions.
• Participate in on-call rotation and system maintenance activities.

Tech stackAWS, Kubernetes, Terraform, GCP, Azure, Python, Prometheus, Redis, Elasticsearch, RDS, Redshift, Kinesis, Argo CD, Atlantis MergeDevOps EngineerSearch KShare

Seniority

8 - 10 years of experience in a DevOps or SRE role, and currently in a Staff level role working with Terraform and Kubernetes.

Work experience

Experience in a startup or growth-stage B2B SaaS company.

Experience as an SRE, DevOps engineer that demonstrated slope and continuity (i.e., without job hopping) during tenure

Experience designing and deploying highly scalable systems, high-throughput data workloads, production-grade CI/CD

Education

Industry experience, scope of ownership, and environments more important than programs or degrees

Skills

Deep experience with Terraform and Kubernetes .

Experience with multiple cloud providers (AWS, GCP, Azure).

Experience with any of the following:

- Observability (Prometheus), Redis, Elasticsearch

- Experience with self-hosted deployments, (managed VPC–style architectures)

High ownership, bias toward action, willing to dig in without heavy process or large support orgs

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