Software Engineer, DevOps

Ovii's Interpretation of the Role

Ema is looking for a DevOps Engineer to design, build, and operate scalable, multi‑tenant SaaS infrastructure. The role blends cloud platform expertise, automation, CI/CD pipeline development, and observability to keep the Agentic AI platform reliable and performant.

Role Snapshot

• Design and build scalable cloud infrastructure
• Automate provisioning and configuration
• Develop and maintain CI/CD pipelines
• Implement observability and alerting
• Collaborate with product and engineering teams
• Support multi‑tenant SaaS services

Must-Have Requirements

• Kubernetes
• Terraform
• Helm
• Istio
• AWS/Azure/GCP
• Ansible
• GitHub Actions
• Prometheus
• Grafana
• Sentry
• PagerDuty
• Selenium
• Infrastructure engineering
• cloud platforms
• CI/CD pipeline development
• Bachelor's or Master's degree in Computer Science or related field

Nice-to-Have Signals

• ML/OPs
• PostgreSQL query optimization
• Event‑driven data pipelines
• Air‑gapped cloud environments
• Azure AKS
• ML/Ops
• PostgreSQL performance tuning
• event‑driven pipelines

Work Setup

• Location: San Francisco Bay Area, United States
• Work mode: ONSITE
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Remote eligibility
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Partner with product teams to architect and build foundational infrastructure for the AI platform.
• Create highly available, multi‑tenant SaaS solutions on AWS, Azure, or GCP using Kubernetes, Helm, Terraform, and Istio.
• Automate infrastructure tasks from provisioning to configuration management with Terraform, Ansible, and Kubernetes.
• Enhance CI/CD pipelines using GitHub Actions, Cloud Build, and related tooling to improve developer experience.
• Build observability stacks with Prometheus, Grafana, Sentry, and PagerDuty for real‑time health monitoring.
• Deploy end‑to‑end testing frameworks such as Selenium to ensure software quality.
• Monitor system performance, analyze metrics, and optimize database queries for peak efficiency.

Good Fit If You Have

• Experience with machine‑learning operations or ML‑focused pipelines.
• Strong knowledge of PostgreSQL query tuning and performance improvement.
• Background in event‑driven architectures or streaming data pipelines.
• Familiarity with air‑gapped or private cloud environments.
• Hands‑on experience administering Azure Kubernetes Service (AKS).