DevOps Engineer
Blitzy
Posted 2026-05-26
USD 85,000 - USD 180,000 per year
Tech & Engg
Job Description
Ovii's Interpretation of the Role
Blitzy seeks a hands‑on DevOps Engineer to design, automate, and scale the infrastructure that powers its AI‑driven software development platform. The role focuses on Kubernetes, CI/CD, Terraform, and observability to deliver reliable, high‑throughput services for Fortune 500 customers.
Role Snapshot
- Design & scale Kubernetes clusters
- Automate infrastructure with Terraform & Python
- Build end‑to‑end CI/CD pipelines
- Own observability stack (monitoring, tracing, alerting)
- Improve developer experience
- Ensure cloud security, reliability, and cost efficiency
Must-Have Requirements
- Kubernetes
- Python
- Terraform
- Helm
- CI/CD pipeline design
- AWS/Azure/GCP
- Linux
- Docker
- DevOps
- infrastructure engineering
- Python automation
- CI/CD pipelines
- cloud platforms
Nice-to-Have Signals
- CKA certification
- MLOps tooling (MLflow, Kubeflow)
- Microservices architecture
- Service mesh technologies
- API gateway management
- MLOps tooling
- microservices
- service mesh
- API gateway
Work Setup
- Location: Cambridge, United States
- Work mode: ONSITE
- Employment type: Full-Time
Not Specified in JD
- Visa sponsorship
- Remote eligibility
- Education requirement
- Certifications
- Relocation
- Notice period
- Travel
- Security clearance
- Coding test
- Portfolio
- GitHub
- Writing sample
- Cover letter
What You'll Likely Work On
- Build, manage, and scale Kubernetes clusters for AI agent workloads and production deployments
- Design and implement robust CI/CD pipelines for applications and AI‑driven workflows
- Automate provisioning, scaling, and operations using Python scripts and Terraform IaC
- Deploy and maintain services via Helm charts across multiple environments
- Own the observability stack, delivering alerts, distributed tracing, and metrics for all production APIs
- Create and sustain infrastructure for high‑throughput AI agent orchestration
- Partner with engineering teams to streamline developer experience and deployment tooling
- Maintain security, reliability, and cost‑efficiency of cloud environments
Good Fit If You Have
- CKA (Certified Kubernetes Administrator) certification
- Experience with MLOps platforms such as MLflow or Kubeflow
- Background in microservices and service‑mesh architectures
- Bias toward automation and scripting repetitive tasks
Skills
- Kubernetes
- Terraform
- Python
- Helm
- CI/CD pipeline automation
- AWS / Azure / GCP
- Linux administration
- Docker
- Observability (monitoring, tracing, alerting)
- MLOps tooling (optional)
- Service mesh & API gateway (optional)