AI-First DevOps Engineer (Senior)

AI-First DevOps Engineer (Senior)

12 Months Contract

Mountain View, CA- Onsite

The Development Efficiencies pillar owns the paved roads, PDLC velocity, and self-serve tooling behind Intuit's 8x developer velocity gain, built on Modern SaaS AIR AI-native dev platform on Kubernetes, Argo, Istio, Envoy, and AWS. Intuit is an active CNCF/Argo contributor; this role works on the same stack upstream.

The Problem This Role Exists to Solve

Development is AI-accelerated; delivery must keep pace. Every human-gated step in CI/CD, environments, and release process erodes the 8x gain. This role makes the delivery pipeline itself AI-first: paved-road pipelines where agents diagnose failures, triage PRs, provision environments, and automate release toil — directly serving the FY26 Reduced Human Effort and PR Merge Velocity KPIs.

Key Responsibilities

• · Build and extend paved-road CI/CD: pipeline templates, golden paths, and policy-as-code gates that product teams adopt self-serve — no tickets, no mandates.
• · Build Argo-based GitOps delivery (CD / Workflows / Rollouts): progressive delivery pipelines including the paved road for shipping AI agents to production the way teams ship microservices — AI Model Deployment Events/Time is a tracked KPI.
• · Build agentic delivery automation into the pipeline: failure-diagnosis agents, PR triage and review-assist agents, environment provisioning automation, change summarization — measured against FY26 Reduced Human Effort.
• · Extend developer inner-loop tooling: cloud workspaces, fast local-to-cluster iteration.
• · Instrument delivery: PR merge velocity, AI-assisted code share, and DORA-style flow metrics feeding org KPIs.
• · Harden the supply chain on the paved road: signing, provenance, SBOM as pipeline defaults.
• · Seam with SRE: you build the rollout pipeline; SRE owns canary analysis and rollback gates — you integrate their gates, not define them.
• · Production support for delivery tooling; self-serve docs and inner-source contributions (tracked PDX metric).

Must-Have Qualifications

• · 7 years DevOps/release/platform engineering; has designed enterprise CI/CD systems, not just operated them.
• · Production depth in Argo (CD, Workflows, Rollouts) and the GitOps operating model; Kubernetes AWS at scale.
• · IaC (Terraform or equivalent) and policy-as-code (OPA / Kyverno or equivalent) in production.
• · Strong Go or Python — delivery tooling built as products, with tests and observability.
• · Hands-on agentic/LLM automation applied to the SDLC: has shipped agents or LLM-powered bots into a delivery flow — pipeline triage, review assist, automated remediation — not just personal Copilot use.
• · Fluent AI-assisted development workflow — AI-assisted code in PRs is a tracked Intuit KPI.

Nice-to-Have

· SLSA / supply-chain security depth; Backstage or internal developer platform (IDP) experience.

· Ephemeral / preview environment platforms at scale; FinOps.

· MCP tool integrations; CNCF or other open-source contributions.

If interested, Kindly reply with the following details to Email- jnehru@nam-it.com

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