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Sight Machine is a manufacturing data platform company that provides data integration, visualization, and analytics for industrial operations. The company was founded in Michigan in 2011 and has offices in San Francisco, CA and Ann Arbor, MI, with a remote-friendly culture.
You will join the Cloud Infrastructure Team as a technical leader and senior individual contributor driving reliability, automation, and scalability across Sight Machine's platform. This is a hands-on role where you'll operate at the intersection of classical SRE practices (Infrastructure as Code, CI/CD, observability, incident response) and the emerging demands of running agentic AI systems in production, including LLM gateways, agent orchestration, and operational patterns for non-deterministic workloads.
Key responsibilities include:
- Champion an agentic-AI-first engineering mindset, identifying where AI-driven automation can replace manual toil while maintaining production-grade quality and testing standards
- Evolve reliability practices for meeting 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 spanning CI/CD, container orchestration, networking, OS, cloud resources, databases, and agentic AI/LLM orchestration
- Design, build, and operate infrastructure supporting agentic AI workloads, LLM gateway routing, agent orchestration frameworks, and monitoring of non-deterministic services
- Architect monitoring, alerting, and observability infrastructure for critical services, with specific attention to what "critical" means for AI-driven systems
- Author and continuously improve operational runbooks and automation, increasingly incorporating AI-assisted tooling where it measurably reduces toil
- Design and build internal platforms and developer tooling that other engineers depend on
- Participate in on-call coverage and help evolve the program as the organization scales
- Mentor senior and mid-level engineers and act as a technical sounding board across teams
- Proactively identify and drive cross-team initiatives that improve stability, reliability, and availability
You'll be expected to bring a startup mindset of daily engagement, staying close to what's breaking, what customers are hitting, and where the team needs help. Success requires deep technical range, sound judgment on risk vs. customer impact, and the ability to influence architecture decisions across Development Engineering without formal authority.
Requirements:
- 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 of coding experience (Python, Go, Java, or similar) with a track record of building tools/platforms used by other engineers, not just scripts
- 10+ years with Infrastructure as Code and CI/CD tooling (Terraform/OpenTofu, FluxCD or similar GitOps tooling, Jenkins/GitHub Actions)
- Demonstrated experience designing, building, or operating agentic AI/LLM-based systems in production, held to the same quality-first, test-driven rigor as traditional infrastructure code
- Strong, provable Linux and networking fundamentals (TCP/IP and application-layer)
- Practical experience integrating or operating LLM/agentic AI systems in a production context (API-based orchestration, LLM gateways, or agent frameworks)
- Track record of authoring technical documentation (design docs, ADRs, runbooks) that other engineers actually use
- Demonstrated mentorship of other engineers without needing formal management authority
- Strong bias for action over endless planning; hands-on with experience making mistakes, learning from them, and weighing 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 others cannot
- Quality-first and security-first mindset in all work
Nice to have:
- Experience with elements of current tech stack: Kubernetes, FluxCD, Terraform, Helm Charts, Prometheus, Elasticsearch, Python, Java, Kafka, Postgres, Jenkins
- Previous experience or keen interest in industrial IoT, analytics, or manufacturing
