{"id":128179,"url":"https://alion.io/job/sight-machine-staff-site-reliability-engineer","title":"Staff Site Reliability Engineer","company":{"id":48223,"name":"Sight Machine","domain":"sightmachine.com","url":"https://alion.io/company/sight-machine","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Ann Arbor, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":136000,"max_usd":263000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":122},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"FluxCD","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitOps","optional":false},{"name":"Go","optional":false},{"name":"Grafana","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Loki","optional":false},{"name":"OpenTofu","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Sentry","optional":false},{"name":"SigNoz","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"TCP/IP","optional":false},{"name":"Terraform","optional":false},{"name":"Apache Kafka","optional":true},{"name":"ElasticSearch","optional":true},{"name":"Helm","optional":true},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-08-19T18:52:36Z","employer_posted_date":"2026-08-19","last_verified_at":"2026-10-17T05:09:05Z","board_verified":true,"closed_at":null,"days_open":58,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":58},"description":"Team Culture\nGreat things happen when people can bring their authentic selves to work. We empower all of our employees to share their perspectives, passions and experiences because collectively we make a better, stronger team. Our team members collaborate 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.\nWe take pride in our self-starter culture where employees are enabled and encouraged to achieve their professional goals through leadership guidance, learning and development. Our philosophy is that careers are continuous journeys, and we dedicate time and offer resources so that employees can reach their full potential.\nBenefits + Perks\nWe value you at and outside of work and know your loved ones are important. Our benefits are designed to support you and your family’s health through life’s expected and unexpected events.\nOur Benefits Include:\nCompetitive Salary + Stock Options\nHealth Care Coverage + Life Insurance + Health Savings Account + Flexible Spending\nAccount (includes spouse + children)\nFlexible Vacation Policy\nAdaptable Working Schedule and Environment\nOur Perks Include:\nCasual Dress Attire\nHybrid work flexibility\nCatered Lunches, Snacks and Beverages\nCommuter Savings Program\nCompany Outings\nDesignated Volunteering Hours + Group Volunteer Events\nSight Machine is proud to be an equal opportunity employer and considers candidates regardless of age, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Sight Machine also considers qualified applicants regardless of criminal histories, consistent with legal requirements.\nAbout Sight Machine, Inc.\nSight Machine strengthens manufacturers by providing the industry’s only standard data model and system-level visualization capabilities. By integrating all crucial data into a single innovative platform, everyone involved in the fabrication process can visualize, contextualize and examine data in one intuitive interface.\nSight Machine is committed and mission-driven to improve lives, strengthen communities and make the world cleaner through continuously re-envisioning manufacturing processes - making them more efficient, sustainable and absolute.\nFounded in Michigan in 2011 and expanded to San Francisco in 2012, Sight Machine blends the spirit of technology innovation and the down to earth style of Detroit manufacturing. Our team includes early leadership from Yahoo, Tesla Motors and Oracle. Together, we share wide industry knowledge and a commitment to advance manufacturing to a more sustainable future.\nWe take pride in our self-starter culture where employees are enabled and encouraged to achieve their professional goals through leadership guidance, learning and development. Our philosophy is that careers are continuous journeys, and we dedicate time and offer resources so that employees can reach their full potential.\nSight Machine is proud to be an equal opportunity employer and considers candidates legally authorized to work in the US regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Sight Machine also considers qualified applicants regardless of criminal histories, consistent with legal requirements.\nAbout the team\nSight 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.\nGreat 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.\nOur 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.\nSight 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.\nAbout the role\nJoin 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.\nThis 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.\nSuccess requires deep technical range, sound judgment on risk vs. customer impact, and the ability to influence architecture decisions across Development Engineering without formal authority.\nWhat You’ll Actually Work On\nChampion an agentic-AI-first engineering mindset: identify where AI-driven automation and agent-based tooling can replace manual toil, and hold that work to the same quality, testing, and reliability bar as any other production system\nEvolve reliability practices for meeting reliability SLO’s, error budgets, drive incident postmortems to systemic (not just symptomatic) fixes, and lead reliability reviews for new services before they hit production\nTroubleshoot and resolve the org's most complex, cross-layer systems problems CI/CD, container orchestration, networking, OS, cloud resources, databases, and increasingly, agentic AI/LLM orchestration layers\nDesign, build, and operate the infrastructure supporting agentic AI workloads, LLM gateway routing, agent orchestration frameworks, monitoring of non-deterministic/AI-driven services, and the operational tooling needed to run them reliably at scale\nArchitect and instrument monitoring, alerting, and observability infrastructure for critical services, with an eye toward what \"critical\" means for AI-driven systems specifically\nAuthor and continuously improve operational runbooks and automation, increasingly incorporating agentic/AI-assisted tooling (e.g., automated triage, AI-assisted incident response) where it measurably reduces toil\nDesign and build internal platforms and developer tooling that other engineers build on top of\nParticipate in on-call coverage and help evolve the program as we scale including escalation paths and reducing avoidable pages through better automation\nBring a startup mindset of daily engagement: staying close to what's breaking, what customers are hitting, and where the team needs help, even outside a formal ticket or rotation\nMentor senior and mid-level engineers; act as a technical sounding board across teams\nProactively identify and drive cross-team initiatives that improve stability, reliability, and availability, this is expected to be self-directed, not assigned\nWhat We’re Looking For\nDemonstrated 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, not just prototype-grade work\nEmbody a quality-first and security-first culture in all that you do\n10+ 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\n10+ years coding experience (Python, Go, Java, or similar) with a track record of building tools/platforms used by other engineers, not just scripts\n10+ years with IaC and CI/CD tooling (Terraform/OpenTofu, FluxCD or similar GitOps tooling, Jenkins/GitHub Actions)\nStrong, provable Linux and networking fundamentals (TCP/IP and application-layer)\nPractical experience integrating or operating LLM/agentic AI systems in a production context this can be API-based orchestration, LLM gateways, or agent frameworks\nA track record of authoring technical documentation (design docs, ADRs, runbooks) that other engineers actually use\nDemonstrated mentorship of other engineers, without needing formal management authority to do it\nStrong bias for action over endless planning, hands-on, has made mistakes, learned from them, and can weigh risk vs. customer impact under pressure\nClear, empathetic communicator, comfortable pushing back on architecture decisions across teams\nOperational experience with 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