FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing and automating production infrastructure on AWS, with a strong focus on Kubernetes, Terraform, and operational tooling. Capable of optimizing cloud spend and enhancing system reliability through self-healing automation and incident response.
Highest-signal resume keywords
Kubernetes ManagementAWS Infrastructure OperationsTerraform AutomationIncident ResponseMulti-Region Infrastructure
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
KubernetesAWSTerraformLinux SystemsGitOpsCI/CD PipelinesStateful Systems SupportPerformance DebuggingInfrastructure as CodeCloud Cost Optimization
Soft Skills
OwnershipProblem-SolvingCollaboration
Tools & Technologies
EKSKarpenterCiliumArgoCDGitHub ActionsTerragrunt
Industry Keywords
Multi-Account AWSNetworkingAccess ControlOperational ToolingSelf-Healing Automation
Tech Stack
Tools & technologiesAWSCloudKubernetesLinuxNode.jsTerraform
About the role
Key responsibilities & impact- You won’t be in a typical “keep the lights on” SRE role. The work is about turning a fast-growing, stateful system into a predictable, well-automated platform. (provisioning, scaling, rebalancing, recovery) That means reducing operational stress, designing safe automation for traffic-heavy workloads, and building the tooling and patterns that let the system scale without scaling human effort.
- You'll work on the kind of problems that only show up at large scale (petabytes of data, thousands of cores, constant ingestion) across a multi-region, multi-account AWS platform running many services on Kubernetes.
- Operating EKS clusters across several environments with Karpenter autoscaling, Cilium networking, and ArgoCD-driven GitOps deployments
- Managing and evolving a multi AWS account organization, provisioning, networking, access control, and cross-account connectivity
- Maintaining the Terraform/Terragrunt IaC platform - modules, automated plan-on-PR / apply-on-merge pipelines, and safe patterns for shared infrastructure
- Improving operational tooling around deploys, schema changes, backups, restores, and incident response
- Reducing operational load by identifying repeat pain points and eliminating them through code and self-healing automation
- Optimizing cloud spend as you go
- Participating in on-call and incident response, with a strong focus on making incidents rarer over time.
- You'll have room to design and automate, not just respond to alerts. You should join this team if you like deep ownership of production systems and enjoy building the platform layer that everything else runs on.
Requirements
What you’ll need- Deep hands-on experience with Kubernetes in production (EKS preferred). You've debugged node pressure, networking issues, and deployment failures at scale (thousands of nodes)
- Strong experience operating production infrastructure on AWS. Not just one account, but understanding organizational boundaries, IAM, and networking between many
- Experience automating infrastructure using Terraform or Terragrunt at scale, including module design and state management
- Solid understanding of Linux systems (disk, memory, networking, failure modes)
- Experience supporting stateful systems (databases, queues, storage systems, etc.)
- Ability to debug and reason about performance and reliability issues in production
- You're comfortable owning systems end-to-end, including on-call responsibilities
- Nice to have: Experience with GitOps workflows (ArgoCD) and CI/CD pipelines (GitHub Actions)
- Experience with building AI agent-enabled base-level infra services for teams that move fast
- Familiarity with multi-region infrastructure and the consistency/availability tradeoffs that come with it
Benefits
Comp & perks- Transparency: Everyone can read about our roadmap, how we pay (or even let go of) people, our strategy, and how we work, in our public company handbook. Internally, we share revenue, notes and slides from board meetings, and fundraising plans, so everyone has the context they need to make good decisions.
- Autonomy: We don’t tell anyone what to do. Everyone chooses what to work on next based on what's going to have the biggest impact on our customers, and what they find interesting and motivating to work on. Engineers lead product teams and make product decisions. Teams are flexible and easy to change when needed.
- Shipping fast: Why not now? We want to build a lot of products; we can't do that shipping at a normal pace. We've built the company around small teams – autonomous, highly-efficient groups of cracked engineers who can outship much larger companies because they own their products end-to-end.
- Time for building: Nothing gets shipped in a meeting. We're a natively remote company. We default to async communication – PRs > Issues > Slack. Tuesdays and Thursdays are meeting-free days, and we prioritize heads down building time over perfect coordination. This will be the most productive job you've ever had.
- Ambition: We want to solve big problems. We strongly believe that aiming for the best possible upside, and sometimes missing, is better than never trying. We're optimistic about what's possible and our ability to get there.
- Being weird: Weird means redesigning an already world-class website for the 5th time. It means shipping literally every product that relates to customer data. It means building an objectively unnecessary developer toy with dubious shareholder value. Doing weird stuff is a competitive advantage. And it's fun.
