Senior SRE: AI-Driven Infra & Reliability

Jobless

Ann Arbor (MI)

Hybrid

USD 180,000 - 240,000

Full time

9 days ago

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Benefits offered by this job

Health Care Coverage
Life Insurance
Health Savings Account
Flexible Spending
Hybrid work flexibility
Catered Lunches

Job summary

Sight Machine is seeking a senior Cloud Infrastructure IC to lead reliability, automation, and scale across our platform. You will drive IaC, CI/CD, observability and operate agentic AI systems, mentoring engineers and guiding architectural decisions while staying hands-on with code and incidents.

You will work across Kubernetes, cloud resources, and non-deterministic workloads, influencing cross-team reliability and developing runbooks for automation and incident response.

Qualifications

  • 10+ years designing, building, or operating Kubernetes/Docker in public clouds, production-scale environments.
  • 10+ years coding experience (Python, Go, Java or similar) with tools used by engineers.
  • 10+ years with IaC and CI/CD tooling (Terraform/OpenTofu, FluxCD, Jenkins/GitHub Actions).

Responsibilities

  • Champion AI-first engineering mindset and automate tooling with equal quality as production systems.
  • Lead reliability reviews for new services before production and drive postmortems to systemic fixes.
  • Design, build and operate infrastructure for agentic AI workloads and LLM gateway routing.
  • Architect monitoring, alerting and observability for critical AI-driven services.

Skills

Kubernetes
Docker
Python
Go
Java
Terraform
CI/CD
Linux
Networking
AI systems
Mentorship
Documentation

Education

Bachelor's degree in Computer Science or related field

Tools

Prometheus
Grafana
Loki
Sentry
Signoz

Job description

Sight Machine is seeking a senior Cloud Infrastructure IC to lead reliability, automation, and scale across our platform. You will drive IaC, CI/CD, observability and operate agentic AI systems, mentoring engineers and guiding architectural decisions while staying hands-on with code and incidents.

You will work across Kubernetes, cloud resources, and non-deterministic workloads, influencing cross-team reliability and developing runbooks for automation and incident response.

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