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Member of Technical Staff – Infrastructure
ObviousInfrastructure Engineer at Obvious building AI-native infrastructure tooling, making deployments boring and optimizing CI/CD pipelines for reliability in an AI workspace environment.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and optimizing CI/CD pipelines, Kubernetes deployment strategies, and infrastructure for AI/LLM workloads. Proficient in observability tools and infrastructure as code, with a focus on enhancing developer productivity and system reliability.
Highest-signal resume keywords
CI/CD Pipeline ManagementKubernetes Deployment StrategyTerraform Infrastructure as CodeObservability Tools ExperienceDistributed Systems Expertise
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
RustGoKubernetes InternalsTerraformDistributed SystemsModel ServingInference InfrastructureAgent ToolingEBPFBare-Metal Automation
Soft Skills
Team CollaborationProduct Management MindsetEagerness to HelpHumble AttitudeAdaptability
Tools & Technologies
OpenTelemetryDatadogDash0Distributed TracingMetricsStructured Logging
Industry Keywords
AI WorkloadsLLM-Ops GuardrailsSRE PracticesCost OptimizationSecurity Practices
Tech Stack
Tools & technologiesCloudDistributed SystemsGoKubernetesRustTerraform
About the role
Key responsibilities & impact- Make deployments boring (in the best way possible)
- Own CI/CD pipelines: optimize build times, improve caching, reduce flakiness
- Evolve our Kubernetes (EKS) deployment strategy for reliability and speed
- Build and harden the infrastructure behind model serving, inference, and agent tooling—not just the app layer around them
- Extend our telemetry with better instrumentation, smarter sampling, and actionable dashboards, including eval pipelines and LLM-ops guardrails
- Build alerting that catches actual problems and ignores noise
- Make the feedback loop from code to production as fast as possible
- Improve preview environments, local dev tooling, and testing infrastructure
- Eliminate toil through thoughtful automation, not another dashboard nobody reads
- Be the engineer who makes other engineers—and agents—faster
Requirements
What you’ll need- Come from a company where infrastructure was the product itself—not infrastructure work done in service of someone else's product.
- Applied that infra background specifically to AI/LLM workloads: model serving, inference infrastructure, agent tooling, eval pipelines, or LLM-ops guardrails—working at an "AI company" alone doesn't count if the infra work itself doesn't show this lens
- Real technical depth in distributed systems: Rust or Go, storage engines, control planes, Ceph, RDMA, eBPF, bare-metal automation, or Kubernetes internals (not just usage)
- A proven record of exceptional achievements and impact
- Strong Terraform skills—you've managed real infrastructure as code
- Hands-on experience with observability tools: OpenTelemetry, Datadog, Dash0, Braintrust, distributed tracing, metrics, structured logging
- You've been on-call, and you've built systems that made on-call better
- You think like a product manager for internal tools, where the product is developer (and agent) productivity
- Willingness to work hard, move fast, and grow quickly in a rapidly changing environment
- A humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed
- Nice to have:
- A personal or self-directed infra track record: side projects, homelabs, open-source infra tooling, published writing or talks—signal of genuine intrinsic interest, not just job history
- Security chops: IAM, zero-trust, secrets management
- SRE practices: SLOs, SLIs, error budgets, chaos engineering
- Cost optimization for cloud infrastructure
- Based in Atlanta (nice to have, not required)
Benefits
Comp & perks- Offers Equity 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score