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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and evolving engineering platforms with a focus on reliability, automation, and observability. Proficient in infrastructure as code using Terraform and experienced in managing Kubernetes environments, ensuring scalability and performance in cloud-based systems.
Highest-signal resume keywords
GCP (GKE, IAM, Pub/Sub, BigQuery)Infrastructure As Code (IaC) With TerraformObservability Tools (Prometheus, Grafana, Loki, Tempo, Thanos, OpenTelemetry, Alertmanager)Production Development Experience In Go Or PythonIncident Management And On-Call Rotations
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
KubernetesDistributed ArchitectureCI/CD Golden PathsSLIs, SLOs, And Error BudgetsGitHub ActionsArgo CDHelmLLM AgentsData AnalysisAI-Assisted Troubleshooting
Soft Skills
CollaborationData-Driven MindsetProblem-Solving
Tools & Technologies
TerraformGitOpsAI-First Engineering CultureObservability Practices
Industry Keywords
Multi-Cloud EnvironmentsHigh-Traffic CompaniesInternal Developer PlatformsDeveloper Experience Initiatives
Tech Stack
Tools & technologiesBigQueryCloudGoogle Cloud PlatformGrafanaKubernetesPrometheusPythonTerraformGo
About the role
Key responsibilities & impact- Ensure the reliability, availability, and scalability of infrastructure components and the engineering platform
- Build and evolve the Agentic Engineering Platform, including intent orchestration, API execution, code generation, data analysis, and agent-assisted troubleshooting
- Design and implement CI/CD Golden Paths integrated with the agentic layer, from templates through PR review, approval, and merging in accordance with guardrails
- Measurably reduce the setup time for new services
- Develop and implement structural monitoring, observability, and alerting, consolidating metrics, logs, traces, events, and cost data
- Evolve the Kubernetes (GKE) foundation with a focus on sustainability, standardization, and intelligent automation
- Institutionalize incident management with AI-assisted analysis, connecting detection, diagnosis, and remediation
- Create and maintain infrastructure as code with Terraform, including auto-generation, intelligent validation, rollback, recovery, and operational fixes
- Support the definition and tracking of SLIs, SLOs, and error budgets
- Support critical system migrations, environment segregation, and the deprecation of legacy technologies
- Participate in and influence the development of an AI-First engineering culture focused on reliability, automation, and standardization
- Collaborate with the SRE Partner, SRE FinOps, and product teams in adopting and evolving the platform
Requirements
What you’ll need- Strong experience with GCP (GKE, IAM, Pub/Sub, BigQuery)
- Strong knowledge of Kubernetes and distributed architecture
- Strong knowledge of infrastructure as code (IaC) and Terraform
- Proficiency with observability tools and practices, including Prometheus, Grafana, Loki, Tempo, Thanos, OpenTelemetry, and Alertmanager
- Ability to analyze logs and the performance of distributed systems
- Hands-on experience with GitHub Actions, Argo CD, Helm, and GitOps on GKE
- 2+ years of production development experience in Go or Python
- Experience with LLM agents in production, including tool use in agentic loops, MCP, and orchestration via Vertex AI, Anthropic, or an equivalent platform
- Experience defining and tracking SLOs and error budgets
- Experience with incident management, on-call rotations, and postmortems
- Previous experience building engineering platforms, Internal Developer Platforms, Golden Paths, or Developer Experience initiatives (nice to have)
- Significant contributions to observability, toil reduction, or operations automation (nice to have)
- Experience in multi-cloud environments or high-traffic companies (nice to have)
- Familiarity with GitOps practices and declarative infrastructure management (nice to have)
- Data-driven and AI-First mindset
- Close collaboration with SRE Partner, FinOps, and product teams
- Platform-builder profile, with a hands-on coding approach
Benefits
Comp & perks- Remote model: choose where you live—the role remains the same
- The freedom to choose where you live without giving up the right opportunity
