San Francisco, California, United States · Hybrid
$200k–$260k/yr
About the team Sight Machine is built on the shoulders of a unique, robust and highly scalable Infrastructure as Code model. This enables the creation and operation of customer instances in our ecosystem in a standardize…
Skills: Kubernetes, Docker, Python, Go, Java
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Lead the technical direction for reliability, automation, and scalability of the platform, specifically integrating agentic AI systems. This includes managing IaC, CI/CD, and observability while mentoring senior engineers and resolving complex system bottlenecks.
Requires 10+ years of experience with Kubernetes, coding (Python/Go/Java), and IaC/CI/CD tooling in top-tier cloud environments. Candidates must have practical experience operating LLM/agentic AI systems in production and a strong background in Linux and networking.
About the team
Sight Machine is built on the shoulders of a unique, robust and highly scalable Infrastructure as Code model. This enables the creation and operation of customer instances in our ecosystem in a standardized and simplified manner. We are looking for team members to help us 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 of our 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, our clients on the forefront of digital transformation, and the cutting edge of digital manufacturing thought leadership.
Sight Machine has offices in San Francisco, CA and Ann Arbor, Mi. We do have a remote-friendly culture with people based all around the US and the rest of the world. For this role in particular, the ideal candidate is located near either of our offices and willing to work in a hybrid capacity. We would still consider 100% remote for exceptional candidates if they aren’t located near an office.
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 which include IaC, CI/CD, observability, incident response and the emerging demands of running agentic AI systems in production: LLM gateways, agent orchestration, and the operational patterns that come with non-deterministic workloads.
This is a senior level IC role. You'll help set and drive technical direction for infrastructure and reliability practices across teams, mentor senior engineers, and be a primary escalation point for the org's hardest systems problems while still being hands-on with code, infrastructure, and incidents.
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.
What You’ll Actually Work On
What We’re Looking For
Nice to Have
Making Manufacturing Stronger, Sustainable and Resilient.
Sight Machine is the data platform for manufacturing, unlocking plant data to help manufacturers improve profitability, productivity, and sustainability. Using Sight Machine’s common Data Foundation for operations and analysis, manufacturers can make better, faster decisions for improving production performance. Sight Machine’s streaming platform continuously analyzes all assets, data sources, and processes, from machine to enterprise level.
Offices: 243 Vallejo Street, San Francisco, CA 94111, US · 111 N Ashley St, Suite 100, Ann Arbor, Michigan 48104, US
Making Manufacturing Stronger, Sustainable and Resilient.
Sight Machine is the data platform for manufacturing, unlocking plant data to help manufacturers improve profitability, productivity, and sustainability. Using Sight Machine’s common Data Foundation for operations and analysis, manufacturers can make better, faster decisions for improving production performance. Sight Machine’s streaming platform continuously analyzes all assets, data sources, and processes, from machine to enterprise level.
Offices: 243 Vallejo Street, San Francisco, CA 94111, US · 111 N Ashley St, Suite 100, Ann Arbor, Michigan 48104, US
