DevOps Engineer at Blitzy - ScoutJobs - The AI-curated global job board
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Posted 13 hours ago

DevOps Engineer

BlitzyDevOps Engineer

Requirements

5-8 years DevOps experience, Python proficiency, Kubernetes expertise, Helm experience, CI/CD pipeline design, Cloud platform experience (AWS/GCP/Azure), Terraform proficiency, Linux administration

Skills

KubernetesTerraformPythonCI/CDAWS

About the role

About the Company

Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software. We're transforming how enterprises build software using an agentic software development platform.

Responsibilities

  • Build and manage Kubernetes clusters supporting AI agent workloads and application deployment at scale
  • Design, implement, and maintain CI/CD pipelines for application and AI service delivery
  • Automate infrastructure provisioning and dynamic scaling using Python and Terraform IaC
  • Deploy and manage applications using Helm charts
  • Build and maintain comprehensive observability stacks including Prometheus, Grafana, Datadog, or OpenTelemetry
  • Monitor and maintain production services and APIs, owning incident response and postmortems
  • Build dedicated infrastructure for AI agent orchestration and management
  • Collaborate with engineering teams to improve developer experience through tooling and automation

Requirements

  • 5–8 years of DevOps, infrastructure, or platform engineering experience
  • Proficiency in Python for scripting and automation
  • Deep Kubernetes expertise including cluster management and troubleshooting
  • Hands-on experience with Helm for application packaging
  • Proven ability to design CI/CD pipelines in multi-service environments
  • Practical experience with AWS, GCP, or Azure
  • Terraform proficiency for infrastructure-as-code
  • Strong Linux administration and containerization fundamentals (Docker, OCI)

Preferred Qualifications

  • CKA (Certified Kubernetes Administrator) certification
  • Familiarity with MLOps tooling such as MLflow or Kubeflow
  • Experience with microservices architecture and distributed systems
  • Knowledge of API gateways and service mesh technologies like Istio or Linkerd
  • Prior experience in a high-growth AI or software startup
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DevOps Engineer

Blitzy · India

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