Senior DevOps Engineer

About Qodo Qodo is the enterprise platform for AI-driven code review, designed to help engineering teams keep pace with the velocity of coding. As AI accelerates development, Qodo ensures quality scales alongside it. Our multi-agent platform integrates deep code base understanding, automated rule enforcement and agentic review intelligence to deliver context-aware code reviews across the SDLC. Its agents handle PR review, in-IDE feedback, background remediation, to ensure issues are caught early, fixes are validated, and standards are consistently enforced.

Qodo

AIMLcodecode integrityunit testfunctional code qualitygenerative AIgenerative codecopilotand chatgpt

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Q

qodo.ai

51-200 employees

Software Development

New York, NY

Privately Held

14k LinkedIn followers

Raised $120.6M

• 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

Required

• 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
• 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

Preferred

• 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

• 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