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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 maintaining CI/CD pipelines, cloud infrastructure, and ML operations workflows, with a strong focus on Kubernetes, Docker, and infrastructure as code. Proficient in Python and Bash scripting, with real observability experience to ensure reliable production environments.
Highest-signal resume keywords
DevOps ExperienceKubernetes ExpertiseCI/CD Pipeline DevelopmentPython Scripting SkillsObservability with 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
DevOpsPlatform EngineeringMLOpsKubernetesDockerTerraformPythonBashPrometheusGrafana
Soft Skills
AdaptabilityCollaboration
Tools & Technologies
CI/CD PipelinesInfrastructure as CodeOpenTelemetryML PipelinesHigh-Performance Computing
Industry Keywords
Quantum ComputingScientific ComputingEnterprise SaaSGPU Workload Orchestration
Tech Stack
Tools & technologiesCloudDockerGrafanaKubernetesNode.jsPrometheusPythonTerraform
About the role
Key responsibilities & impact- Build and maintain CI/CD pipelines, cloud infrastructure, and ML operations workflows
- Enable Qutwo to ship reliably and continuously
- Work across engineering and research teams
- Support platform development and client-facing AI projects
Requirements
What you’ll need- 5+ years of actual production experience in DevOps, Platform Engineering, or MLOps
- Deep Kubernetes and Docker knowledge, including debugging Kubernetes networking, handling node evictions, and optimizing production containers
- Production-grade infrastructure as code and CI/CD experience; clean, modular Terraform or similar and reliable multi-environment pipelines
- Strong Python and Bash scripting skills
- Real observability experience using Prometheus, Grafana, and OpenTelemetry to diagnose and solve production outages
- Experience with ML pipelines and model deployment, or senior engineering experience with genuine interest in MLOps
- Comfortable working with ambiguity and evolving infrastructure
- Experience in quantum computing or scientific computing environments, high-performance computing environments, enterprise SaaS platform development, or GPU workload orchestration is a plus but not required