Senior Platform Engineer, AI Infrastructure

Focused; Denver (CO); In loco; USD 180.000 - 220.000; Tempo pieno

Descrizione del lavoro

Focused is seeking a Senior Platform Engineer to lead the build-out of an enterprise AI platform for a global client. You’ll design the foundation for teams to ship LLM apps and agents: Kubernetes, GPU capacity, security, and guardrails that keep hundreds of engineers moving fast.

You’ll mentor a Platform Engineer, set technical direction, and own IaC standards across environments while driving CI/CD and GitOps workflows that are safe and repeatable. Office in Denver three days/week.

Competenze

• 10+ years in infrastructure, platform, or DevOps engineering.
• Deep production experience with Kubernetes, including Azure AKS.
• Hands-on experience with GCP.
• Expert-level Terraform.
• Experience running GPU infrastructure (NVIDIA GPU Operator, node pools, scheduling, or similar).
• Experience building infrastructure that supports LLM workloads in production.
• Strong cloud security background: IAM, networking, secrets, policy as code.
• Experience leading technical direction for a team.

Mansioni

• Design and build a multi-tenant platform for LLM and agentic AI workloads, from model access to deployment
• Architect GPU infrastructure for inference and fine-tuning, including scheduling, autoscaling, and cost controls
• Stand up shared services for agents: model gateways, secrets, tracing, evaluation, and deployment pipelines
• Make build-vs-buy calls and explain the tradeoffs to technical and executive stakeholders
• Architect and run production Kubernetes on Azure AKS and GCP GKE
• Own Terraform modules and IaC standards across environments
• Build CI/CD and GitOps workflows that make platform changes safe and repeatable

Conoscenze

Kubernetes

Azure AKS

GCP

Terraform

GPU infrastructure

Cloud security

Leadership

IaC

CI/CD

Platform engineering

Strumenti

Azure AKS

GCP

NVIDIA GPU Operator

Terraform

Descrizione del lavoro

Who we are:

At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer's needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.

Our values:

• Listen first We are experts in product practices but lifelong learners in the domain of our customers. We research, collaborate, and understand.
• Learn why We ask questions and talk to users to understand problem spaces, objectives, and goals, which allows us to deeply invest and drive towards the outcomes of our clients.
• Love your craft We love diving into a variety of domains and solving problems. We take pride in delivering value, in communicating progress, and guiding our clients to success.

We're looking for a Senior Platform Engineer to lead the build-out of an enterprise AI platform for a global enterprise client. You'll design the foundation their teams use to ship LLM applications and agents: Kubernetes, GPU capacity, security, and the guardrails that let hundreds of engineers move fast without breaking things. You'll set technical direction and mentor a Platform Engineer working alongside you.

Key Responsibilities:

• Design and build a multi-tenant platform for LLM and agentic AI workloads, from model access to deployment
• Architect GPU infrastructure for inference and fine-tuning, including scheduling, autoscaling, and cost controls
• Stand up shared services for agents: model gateways, secrets, tracing, evaluation, and deployment pipelines
• Make build-vs-buy calls and explain the tradeoffs to technical and executive stakeholders
• Architect and run production Kubernetes on Azure AKS and GCP GKE
• Own Terraform modules and IaC standards across environments
• Build CI/CD and GitOps workflows that make platform changes safe and repeatable

Security & Governance

• Design identity, network isolation, and secrets management for AI workloads
• Put guardrails in place for data access, model usage, and auditability
• Partner with security and compliance teams to meet enterprise requirements

Leadership & Consulting

• Mentor and direct a Platform Engineer on the engagement
• Lead architecture reviews and write the decision records that outlast the engagement
• Build trust with client engineering leaders and leave their team able to run what we build

Required Qualifications:

• 10+ years in infrastructure, platform, or DevOps engineering
• Deep production experience with Kubernetes, including Azure AKS
• Hands‑on experience with GCP
• Expert‑level Terraform
• Experience running GPU infrastructure (NVIDIA GPU Operator, node pools, scheduling, or similar)
• Experience building infrastructure that supports LLM workloads in production
• Strong cloud security background: IAM, networking, secrets, policy as code
• Experience leading technical direction for a team

Preferred Qualifications (Exceptional Candidates):

• Experience building an internal agentic AI platform
• Familiarity with model serving (vLLM, Triton, KServe, Ray Serve)
• Experience with Azure OpenAI or Vertex AI
• Consulting or client-facing experience

What Sets Exceptional Candidates Apart:

• You've built a platform other engineering teams chose to adopt
• You've cut GPU spend meaningfully without slowing teams down
• You can explain a platform architecture to a CTO and a junior engineer in the same meeting

What to know before you apply:

• This role will require being in the Denver office 3 days per week and up to 20% travel within the United States.
• Focused is unable to sponsor or take over sponsorship of the employment Visa process at this time.
• The Denver base salary range for this role is $180,000 - $220,000.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Focused’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.