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, Kubernetes expertise, Python proficiency, Helm experience, CI/CD pipeline design, Cloud platforms (AWS/Azure/GCP), Terraform proficiency, Linux and Docker expertise

Skills

KubernetesPythonTerraformAWSDockerHelm

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, turning enterprise requirements into production-ready code with an agentic software development platform.

Responsibilities

  • Build, manage, and scale Kubernetes clusters supporting AI agent workloads and production application deployments
  • Design and implement robust CI/CD pipelines for both application services and AI-driven workflows
  • Automate infrastructure provisioning, scaling, and operations using Python and Terraform
  • Deploy and maintain applications via Helm charts
  • Own the observability stack including alerting, distributed tracing, and monitoring
  • Build and maintain infrastructure for AI agent orchestration
  • Partner with engineering teams to improve developer experience and operational tooling
  • Maintain security, reliability, and cost-efficiency of cloud environments

Requirements

  • 5–8 years of DevOps or infrastructure engineering experience in production environments
  • Deep expertise in Kubernetes (deployment, scaling, networking, troubleshooting)
  • Strong Python proficiency for automation and scripting
  • Hands-on experience with Helm
  • Proven track record designing and maintaining CI/CD pipelines
  • Experience with major cloud platforms (AWS, Azure, or GCP)
  • Proficiency with Terraform for Infrastructure as Code
  • Strong Linux administration and Docker expertise

Preferred Qualifications

  • CKA (Certified Kubernetes Administrator) certification
  • Experience with MLOps tooling such as MLflow or Kubeflow
  • Background in microservices architecture and service mesh technologies
  • Familiarity with API gateway management
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DevOps Engineer

Blitzy · Cambridge

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