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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing production system reliability, scalability, and observability, with a strong focus on AWS infrastructure, Kubernetes, and Terraform. Proficient in automating deployment pipelines and ensuring compliance and security best practices in a fast-paced environment.
Highest-signal resume keywords
AWS Infrastructure ManagementKubernetes DeploymentTerraform Infrastructure as CodeObservability with PrometheusIncident Response Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SREDevOpsInfrastructure EngineeringPython ScriptingBash ScriptingCI/CD PipelinesGitOpsDatabase ReliabilityReal-Time Data ProcessingNetworking
Soft Skills
CollaborationProblem-SolvingAdaptability
Tools & Technologies
PrometheusGrafanaDatadogGitHub ActionsArgoCDFlux
Industry Keywords
EnergyClimate TechCritical Infrastructure
Tech Stack
Tools & technologiesAWSCloudDistributed SystemsFluxGrafanaKubernetesPrometheusPythonTerraform
About the role
Key responsibilities & impact- Own the reliability, scalability, and observability of production systems
- Design and operate infrastructure on AWS using Terraform and Kubernetes
- Build monitoring, alerting, and observability with Prometheus, Grafana, Datadog, or similar tools
- Define meaningful SLOs and SLIs
- Automate deployment pipelines, capacity management, and self-healing systems
- Partner with engineering on architecture reviews to identify reliability and scalability risks
- Manage database and data pipeline reliability for large-scale, real-time grid data processing
- Drive security and compliance best practices across infrastructure
- Run on-call for production systems and lead incident response
Requirements
What you’ll need- 5+ years in SRE, DevOps, or infrastructure engineering roles
- Deep experience with Kubernetes, Terraform/IaC, and cloud platforms; AWS preferred
- Strong scripting/programming ability in Python and Bash
- Observability experience with Prometheus, Grafana, and Datadog
- Track record of running on-call for production systems and leading incident response
- Experience with CI/CD pipelines, including GitHub Actions, and infrastructure automation
- Experience with GitOps concepts and tooling such as ArgoCD or Flux
- Solid understanding of networking, distributed systems, and database reliability
- Comfortable operating in a fast-moving startup environment with ambiguity
- Experience with data-intensive or real-time processing systems preferred
- Background in energy, climate tech, or critical infrastructure preferred
- Experience scaling infrastructure through hypergrowth preferred
- On-prem Kubernetes deployment experience preferred
- Windows Server administration experience preferred
Benefits
Comp & perks- Performance bonus
- Equity
- Comprehensive health, dental, and vision coverage
- Lunch provided three days a week in office
- Hybrid schedule for local employees: 3 days in office and 2 days remote
- Access to leading academic, industry, and government partners in the AI-energy ecosystem
- Mission-driven team focused on shaping the future of the energy transition