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About the Role

Join the Cloud Infrastructure Team as a technical leader driving reliability, automation, and scalability across the systems running Sight Machine's platform. You'll operate at the intersection of classic SRE discipline and the emerging demands of running agentic AI systems in production, including LLM gateways, agent orchestration, and non-deterministic workloads. This is a senior-level individual contributor role where you will set and drive technical direction, mentor engineers, and be a primary escalation point for complex systems problems while remaining hands-on.

Responsibilities

Champion an agentic-AI-first engineering mindset, identifying opportunities for AI-driven automation to replace manual toil.
Evolve reliability practices to meet SLOs and error budgets, drive incident postmortems to systemic fixes, and lead reliability reviews for new services.
Troubleshoot and resolve complex, cross-layer systems problems including CI/CD, container orchestration, networking, OS, cloud resources, databases, and AI/LLM orchestration.
Design, build, and operate infrastructure supporting agentic AI workloads, LLM gateway routing, agent orchestration frameworks, and monitoring of AI-driven services.
Architect and instrument monitoring, alerting, and observability infrastructure for critical services, with a specific focus on AI-driven systems.
Author and continuously improve operational runbooks and automation, incorporating agentic/AI-assisted tooling.
Design and build internal platforms and developer tooling for other engineers.
Participate in on-call coverage and help evolve the program as the team scales.
Proactively identify and drive cross-team initiatives to improve stability, reliability, and availability.
Mentor senior and mid-level engineers and act as a technical sounding board across teams.

Requirements

Demonstrated experience designing, building, or operating agentic AI/LLM-based systems in production with a quality-first, test-driven rigor.
Embody a quality-first and security-first culture.
10+ years of experience with Kubernetes/Docker in at least one top-tier cloud provider (Azure, GCP, AWS), including production-scale multi-tenant or multi-cluster environments.
10+ years coding experience (Python, Go, Java, or similar) with a track record of building tools/platforms used by other engineers.
10+ years with IaC and CI/CD tooling (Terraform/OpenTofu, FluxCD or similar GitOps tooling, Jenkins/GitHub Actions).
Strong, provable Linux and networking fundamentals (TCP/IP and application-layer).
Practical experience integrating or operating LLM/agentic AI systems in a production context.
A track record of authoring technical documentation (design docs, ADRs, runbooks) that other engineers use.
Demonstrated mentorship of other engineers without needing formal management authority.
Strong bias for action, hands-on experience, and ability to weigh risk vs. customer impact under pressure.
Clear, empathetic communicator, comfortable pushing back on architecture decisions across teams.
Operational experience with monitoring/alerting systems (Prometheus, Grafana, Loki, Sentry, Signoz or equivalents).
Deep understanding of cloud performance, able to diagnose and resolve bottlenecks.

Skills

Kubernetes
Docker
IaC
CI/CD
Terraform
OpenTofu
FluxCD
GitOps
Jenkins
GitHub Actions
Linux
Networking
TCP/IP
LLM
Agentic AI
Python
Go
Java
Prometheus
Grafana
Loki
Sentry
Signoz

Location

San Francisco, CA
Ann Arbor, MI
Remote (US)
Remote (Global)

Work Type

Hybrid
Remote

Experience Level

Senior Level IC
10+ years of experience

About the Company

Sight Machine is built on a unique, robust, and highly scalable Infrastructure as Code model that enables standardized and simplified creation and operation of customer instances.
We are looking for team members to help build, maintain, and improve the infrastructure that makes Sight Machine the leading provider of Manufacturing Data Pipelines and Analytics.
Great things happen when people can bring their authentic selves to work.
We empower all team members to share their perspectives, passions, and experiences because collectively we make a better, stronger team through always 'open communications' mind.
Our team collaborates closely with peers & cross-functional stakeholders throughout the business, clients on the forefront of digital transformation, and the cutting edge of digital manufacturing thought leadership.