DevOps Engineer - Agentic AI Platform

Our Agentic AI team builds the platform layer that makes AI systems truly production-ready—and we're already live in production. This isn't a greenfield initiative; it's a high-impact environment where real systems run at scale today.

This is a DevOps role at the center of that platform, and it has two sides. First, you'll provision and operate the infrastructure our AI and agentic workloads run on—the Kubernetes, GitOps, identity, and gateway layers that let LLM-powered services ship and scale safely. Second, you'll bring AI into how we run operations itself—using agents and LLMs to cut toil in triage, deployment, code review, and incident response (we already do this in production today and want to push it much further).

You don't need to be an ML engineer. We're looking for a strong DevOps Engineer who is genuinely excited to make AI a first-class part of the platform—and to build deep AI-infrastructure skills here. You'll work alongside senior platform engineers who partner with you on the harder architectural calls; this is a hands-on build-and-operate role, not a solo "own everything" mandate.

Here’s What You’ll Do:   

• Provision and operate AI infrastructure: the Kubernetes, identity, secrets, and gateway layers that AI and agentic services depend on—built so teams can ship LLM-powered features safely
• Apply AI to DevOps itself: build and operate agent-assisted automation that reduces toil—triage, PR review, runbook generation, log and incident analysis. We already run AI in our delivery pipeline and want a teammate who'll take it further
• Cluster operations on AKS: node pool sizing, autoscaling policies, namespace isolation, and day-two operational hygiene across environments
• GitOps delivery with ArgoCD: app-of-apps structure, environment promotion, rollback strategy, and the guardrails that keep one team's bad deploy from cascading
• Deployment strategies: rolling, blue-green, and canary patterns for agentic services where a bad rollout has downstream effects on active workflows
• Platform reliability: SLIs, SLOs, alerting, and runbooks for the infra layer—so when something breaks at 2am, there's a playbook to follow (and you help write it)
• Cost and capacity management: AI workloads have spiky, non-linear cost profiles. You'll instrument and enforce budgets, quotas, and rightsizing across the cluster

What You Bring to the Table:  

• 3+ years operating Kubernetes in production
• Hands-on GitOps with ArgoCD: multi-environment setups, sync waves, health checks, and rollback under pressure
• Azure fluency: AKS, ACR, Azure Monitor, Key Vault, and managed/workload identity
• Infrastructure-as-code as a default: Terraform for everything—no console cowboys
• Scripting in Python, Go, or Bash for automation and tooling—maintained code, not one-offs
• Solid incident-response instincts; you've been on-call, written postmortems, and fixed the underlying conditions rather than just the symptom
• A real foothold in AI for infrastructure—either you've applied AI/LLMs to operations work (automation, triage, code or PR review, log analysis), or you've provisioned and operated infrastructure for AI workloads. You don't need an ML background; you need to be the DevOps engineer who's already reaching for AI and wants to go deeper

Bonus Points & Where You'll Grow:

You won't have all of these on day one—several are exactly what you'll develop in this role:

• • AI gateway / proxy patterns for AI workloads—centralized provider-key management, rate limiting, quotas, cost attribution, and failover in front of LLM providers
  • Agentic AI frameworks (LangGraph, AutoGen, or similar) and the infrastructure patterns they require
  • LLM inference / serving infrastructure (vLLM, TGI, Triton, or managed equivalents) and GPU capacity management
  • Policy-as-code with OPA/Gatekeeper for cluster governance
  • OpenTelemetry and distributed tracing across non-trivial services
  • Service mesh (Istio or Linkerd) for service-to-service auth and traffic management
  • Multi-tenant platform expertise

Why You’ll Love Working Here: 

It’s not just about work—it’s about building a career and enjoying the ride! Here’s what you can expect: 

We believe in recognizing and rewarding performance. Our compensation package includes competitive base salaries, annual performance-based bonuses, and the chance to share in the equity value you and your colleagues create during your time with the company. We offer comprehensive health benefits, including dental, life, and disability insurance. We also trust our employees to manage their time effectively, which is why we offer an unlimited paid time off program to help you perform at your best every day.  

Join us on this journey. Advisor360° is an equal opportunity employer committed to a diverse workforce. We believe diversity drives innovation and are therefore building a company where people of all backgrounds are truly welcome and included. Everyone is encouraged to bring their unique, authentic selves to work each and every day. The way we see it, we are here to learn from each other.    

The estimated base salary range for this position is $160,000–$175,000 + bonus & equity. 

Advisor360° provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on factors including, but not limited to, individual candidate experience, skills, and qualifications.

Additionally, Advisor360° leverages current market data to determine compensation, therefore posted compensation figures are subject to change as new market data becomes available. The salary, other forms of compensation, and benefits information is accurate as of the date of this posting. Advisor360° reserves the right to modify this information at any time, subject to applicable law.

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Advisor360 is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. Advisor360 will not tolerate discrimination or harassment based on any of these characteristics.

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