At Qodo, we're building an AI Code Review platform that helps developers move fast, ship with confidence, and elevate code quality across the SDLC through deep, scalable codebase understanding.
As a Senior DevOps Engineer (Cloud-Prem) at Qodo, you will take total ownership of our enterprise deployments, running and integrating our Kubernetes-based platform directly inside customer-managed cloud environments (AWS, GCP, Azure). This is a highly autonomous, ground-level role where you’ll navigate complex, unfamiliar systems, solve zero-day installation challenges, and make high-stakes client deployments succeed from day one.
In this role you will
- Own Enterprise Deployments: Take end-to-end ownership of installing, configuring, and upgrading Qodo’s Kubernetes-based stack within customer-managed cloud environments (AWS, GCP, Azure)
- Debug & Reverse-Engineer: Real-time troubleshooting on environments you are seeing for the first time. You’ll pull diagnostics, identify root causes, and write custom Python/Bash scripts to overcome network, access, or platform constraints
- Bridge Engineering & Customers: Serve as a high-touch technical counterpart to enterprise engineering teams during onboardings, eliminating time-zone delays for US-based clients (working alongside Solutions Engineering as needed)
- Build for Scale & Self-Document: Codify best practices into IaC modules (Terraform, Helm) and create a structured internal knowledge base to turn "one-off" fixes into repeatable, automated onboarding procedures
- Drive Reliability: Ensure optimal performance and health of core infrastructure components (PostgreSQL, Redis, container networking, and storage) within isolated client stacks
Requirements
- 5+ Years in DevOps / Infrastructure: Proven track record in product-driven B2B SaaS, DevOps tooling, or developer platform companies
- Autonomous & Autodidactic: Extreme ownership mentality—comfortable navigating ambiguity, making technical decisions independently, and driving projects forward without waiting for top-down direction
- Client-Facing DNA: Hands-on experience in customer-facing deployment, technical onboarding, or Field DevOps contexts. You communicate clearly and build trust with client engineers under pressure
Technical Core
- Deep Kubernetes & Containers: Expert-level, hands-on experience running, troubleshooting, and tuning complex production Kubernetes clusters and Docker containers
- Cloud & IaC Mastery: Proficiency with Terraform and Helm across major public clouds (AWS, GCP, Azure), particularly within customer VPC/tenant boundaries
- Networking & Infrastructure Services: Solid understanding of Linux networking, IAM/security policies, storage drivers, and database infrastructure management (PostgreSQL, Redis)
- Diagnostic Scripting: Strong capability in Python or Bash to write quick diagnostic tools, automation scripts, and deployment fixes
Nice to Have
- Software development background (building tools, services, or SDKs)
- Experience with AI/ML developer tools or enterprise developer platforms
- Prior experience being the first remote hire in a region or building early-stage operational playbooks
For this position at Qodo, we offer:
- The expected salary range for this role is $160,000 – $180,000 per year. Actual compensation will depend on various factors, including experience, skills, and location
- All Qodo team members are also eligible for stock options, reflecting our belief in shared ownership and long-term growth
- Comprehensive medical, dental, and vision plans for you and your dependents, with company contributions toward your premiums
- 401(k) plan
- Commuter Allowance: We support flexible work, and for those who travel to the office two or more times a week, Qodo provides a commuter allowance to cover part of your travel costs
- Paid Time-Off: 23 vacation days