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Team Culture Great 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. We 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. Benefits + Perks We 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. Our Benefits Include Competitive Salary + Stock Options Health Care Coverage + Life Insurance + Health Savings Account + Flexible Spending Account (includes spouse + children) Flexible Vacation Policy Adaptable Working Schedule and Environment Our Perks Include: Casual Dress Attire Hybrid work flexibility Catered Lunches, Snacks and Beverages Commuter Savings Program Company Outings Designated Volunteering Hours + Group Volunteer Events Sight 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. About Sight Machine, Inc. Sight 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. Sight 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. Founded 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. We 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. Sight 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. 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 Champion 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 Evolve 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 Troubleshoot 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 Design, 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 Architect and instrument monitoring, alerting, and observability infrastructure for critical services, with an eye toward what "critical" means for AI-driven systems specifically Author 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 Design and build internal platforms and developer tooling that other engineers build on top of Participate in on-call coverage and help evolve the program as we scale including escalation paths and reducing avoidable pages through better automation Bring 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 Mentor senior and mid-level engineers; act as a technical sounding board across teams Proactively identify and drive cross-team initiatives that improve stability, reliability, and availability, this is expected to be self-directed, not assigned What We’re Looking For Demonstrated experience designing, building, or operating agentic AI/LLM-based systems in production, held to the same quality-first, test-driven rigor as tradit
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.