Staff SRE: AI-Driven Cloud Reliability Leader

Devopsroles; United States; Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Stock options

Health care + dental + vision

Hybrid work flexibility

Catered lunches & snacks

Job summary

Sight Machine seeks a senior Cloud Infrastructure Engineer to drive reliability, automation, and scalability for our AI-enabled data platform. You will own IaC, CI/CD, monitoring, and operator tooling, mentoring engineers while delivering hands-on infrastructure work across Kubernetes, cloud services, and AI/LLM workloads.

You will collaborate across teams to improve stability, performance, and security, with a startup-minded approach and a focus on scalable, observable systems for manufacturing

Qualifications

• 10+ years designing, building, or operating agentic AI/LLM-based systems in production with a quality-first, security-first approach.
• 10+ years of Kubernetes/Docker experience in production-scale multi-tenant or multi-cluster environments.
• Strong scripting and software engineering background across Python/Go/Java.

Responsibilities

• Champion an agentic-AI-first engineering mindset and drive automation to replace manual toil.
• Evolve reliability practices, meet SLOs, and drive postmortems to systemic fixes.
• Lead cross-team reliability reviews before services hit production, hands-on with code and incidents.
• Architect and instrument monitoring and observability for critical services in AI-driven workloads.
• Design and build internal platforms and developer tooling used by other engineers.
• Mentor senior/mid-level engineers and drive cross-team stability initiatives.

Skills

Kubernetes

Docker

Python

Go

Java

IaC

CI/CD

Linux

Networking

Cloud

Observability

Tools

Terraform

FluxCD

Jenkins

GitHub Actions

Prometheus

Grafana

Loki

Sentry

Signoz

PostgreSQL

Kafka

Elasticsearch

Helm

Job description

Sight Machine seeks a senior Cloud Infrastructure Engineer to drive reliability, automation, and scalability for our AI-enabled data platform. You will own IaC, CI/CD, monitoring, and operator tooling, mentoring engineers while delivering hands-on infrastructure work across Kubernetes, cloud services, and AI/LLM workloads.

You will collaborate across teams to improve stability, performance, and security, with a startup-minded approach and a focus on scalable, observable systems for manufacturing