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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Site Reliability Engineering and cloud operations, with a strong focus on Kubernetes management, observability tooling, and infrastructure as code using Terraform. Proven ability to define SLIs, SLOs, and manage incident responses while collaborating effectively across teams.
Highest-signal resume keywords
Kubernetes ManagementAzure Cloud ServicesInfrastructure As Code (Terraform)CI/CD Pipelines (GitHub Actions)Observability Tooling (Azure Monitor, Prometheus)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Site Reliability EngineeringCloud OperationsProduction Workloads ManagementScripting (Python, Bash, PowerShell, Go)Error Budget DefinitionCapacity PlanningLoad TestingDisaster Recovery ReadinessAutomated TestingIncident Management
Soft Skills
CuriosityWillingness To LearnCollaboration
Tools & Technologies
Azure MonitorPrometheusGrafanaDynatraceOpenTelemetryGitHub ActionsHelmKEDA
Industry Keywords
AI Solutions MonitoringDevSecOpsSecrets ManagementPolicy As CodeSupply Chain Security
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformGrafanaKubernetesPrometheusPythonTerraformGo
About the role
Key responsibilities & impact- Monitor and support production platform systems
- Define and track SLIs, SLOs, and error budgets for availability, latency, and throughput
- Design and maintain dashboards, alerts, and telemetry for AI solution behavior and model usage
- Monitor token consumption, request latency, throttling, quota limits, error rates, cost attribution, and output quality or drift signals
- Run and support Kubernetes clusters and Azure cloud services
- Manage capacity planning, autoscaling, upgrades, workload health, and resource optimization
- Partner with DevOps engineers to automate and improve GitHub Actions CI/CD pipelines
- Embed reliability checks, automated testing, progressive delivery, and rollback practices
- Use Terraform and other infrastructure-as-code tools to provision and manage cloud environments
- Participate in on-call and incident response
- Lead blameless post-incident reviews, maintain runbooks, and drive corrective actions
- Conduct capacity planning, load and failure testing, and disaster recovery readiness
- Collaborate with developers, data scientists, security, and enterprise architecture teams
- Document operational guidance for platform consumers
Requirements
What you’ll need- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field
- 5+ years of practical experience in site reliability engineering, DevOps, or cloud operations
- Strong hands-on experience running production workloads on Kubernetes, including deployment and configuration management, networking, autoscaling, cluster upgrades, and troubleshooting
- Experience operating production workloads in a major public cloud: Azure, AWS, or GCP
- Proficiency with observability tooling such as Azure Monitor, Prometheus, Grafana, or Dynatrace
- Experience with OpenTelemetry-based tracing, metrics, and logging
- Experience defining SLIs, SLOs, and error budgets
- Experience building actionable alerting that reduces noise
- Experience with CI/CD pipelines, preferably GitHub Actions
- Experience with infrastructure as code, preferably Terraform
- Scripting or programming experience with Python, Bash, PowerShell, or Go
- Strong incident management and troubleshooting skills
- Experience in on-call rotations and blameless post-incident reviews
- Curiosity and willingness to learn how AI solutions and models behave in production
- Preferred: Azure services, AI/ML or generative AI workload monitoring, Helm, KEDA, service meshes, GPU-enabled workloads, DevSecOps, secrets management, policy as code, supply chain security, and relevant certifications
Benefits
Comp & perks- Flexible, supportive environment
- Well-being prioritized
- Be Well programs supporting financial, mental, physical, and social health
- Personalized development goals and continuous feedback
- Certifications with Microsoft, Google, and Amazon
- Coaching and hands-on learning experiences
- Cutting-edge learning opportunities
- Career path tools and professional development support
- Full-time employment