Senior Platform Engineer: AI/ML Infra & Reliability

StratITech; San Francisco (CA); On-site; USD 210,000 - 260,000; Full time

Benefits offered by this job

Equity

Job summary

StratITech, a fast-growing San Francisco technology company, is seeking a senior platform engineer who loves building end-to-end infrastructure for AI workloads.

You will design Kubernetes-based platforms, automate deployments, and craft reusable tooling while collaborating closely with engineers, scientists, product teams, and leadership. Expect broad ownership in a small, autonomous team.

Qualifications

• 8+ years in platform/infra engineering or related fields.
• Evidence of owning end-to-end technical projects, not just operation.
• Strong Linux fundamentals.
• Terraform or IaC expertise.
• Programming experience in Python or Go.
• Experience building CI/CD and deployment automation.
• Strong troubleshooting and distributed-systems understanding.
• Ability to make architectural tradeoffs.

Responsibilities

• Own platform and infrastructure projects from initial problem through production.
• Design and build Kubernetes and container-based infrastructure.
• Develop internal tooling, automation, and platform software.
• Build reusable Infrastructure-as-Code and deployment systems.
• Create CI/CD, GitOps, and developer self-service capabilities.
• Solve technical problems across Linux, networking, storage, cloud, and distributed systems.
• Build reliability and observability into systems from the beginning.
• Partner with engineers, scientists, product teams, and leadership.
• Own and evolve the systems you build after launch.

Skills

Kubernetes

Terraform

Go

Python

CI/CD

GitOps

Observability

Tools

ArgoCD

Helm

Docker

Job description

StratITech, a fast-growing San Francisco technology company, is seeking a senior platform engineer who loves building end-to-end infrastructure for AI workloads.

You will design Kubernetes-based platforms, automate deployments, and craft reusable tooling while collaborating closely with engineers, scientists, product teams, and leadership. Expect broad ownership in a small, autonomous team.