Technical Cloud Operations Lead

Posted An Hour Ago
Be an Early Applicant
Hiring Remotely in Argentina
Remote or Hybrid
Entry level
Artificial Intelligence • Machine Learning
Unleash data science, one innovation at a time.
The Role

Who we are

At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility — all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers — like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy — are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented — and we want to be the ones building it. For more information, visit www.domino.ai

What we are building

The Cloud Operations team at Domino is building the operating capability that helps us safely and reliably manage a growing fleet of customer cloud environments.

As Domino's cloud footprint grows, we want routine production operations to become increasingly standardized, observable, and easy to execute safely. Cloud Operations sits at the intersection of Customer Experience, Platform Services, Support, and SRE, taking ownership of the day-to-day operating system around cloud changes while partnering with engineering teams to continually improve the underlying tooling.

This is a founding role with an opportunity to shape how the function works. You will help turn recurring production work into clear, repeatable operating paths; identify where better tooling or automation can remove operational friction; and create a model that can scale without requiring engineering involvement in every routine change.

What your impact will be

  • Establish and help shape Domino's Cloud Operations capability, creating clear ownership and operating practices for routine production changes across our cloud environments.
  • Build an initial service catalog for our most common operations, with clear procedures, risk boundaries, verification steps, rollback paths, and escalation points.
  • Take hands-on ownership of appropriate cloud operations and recurring campaigns while ensuring work is carried through verification and completion.
  • Reduce the amount of routine operational work that requires ad hoc involvement from Platform Services and SRE engineers.
  • Partner closely with Platform Services, SRE, and Support to identify recurring friction and turn it into improvements in automation, tooling, documentation, and self-service.
  • Improve visibility into how Cloud Operations is performing through useful measures such as operational volume, exceptions, verification time, engineering escalations, and paved-road coverage.
  • Help build the operational controls and evidence practices needed as Domino supports increasingly complex and regulated customer environments.
  • Leave the service easier to operate than you found it: recurring problems should increasingly become standardized, automated, delegated, or eliminated rather than simply handled faster.

What we look for in this role

  • Experience working with production cloud or SaaS environments in roles such as Cloud Operations, Production Operations, Site Reliability Engineering, Platform Operations, DevOps, Application Operations, or a similar technical operations function.
  • Familiarity with cloud-native technologies and concepts. Experience with AWS and Kubernetes is especially useful, but we care more about your ability to understand production systems and make sound operational decisions than expertise in every technology we use.
  • Experience taking recurring or loosely defined operational work and helping make it more structured, documented, and repeatable.
  • Strong operational judgment: you can follow a known path confidently, recognize when reality no longer matches the procedure, and know when to stop, investigate, or involve an engineering partner.
  • Comfort using logs, monitoring, deployment output, configuration, and other technical signals to understand the state of a system and communicate effectively with the engineers who build it.
  • A systems mindset. You look beyond solving today's request and ask whether repeated work can be simplified, standardized, automated, or avoided altogether.
  • Strong ownership and follow-through, including attention to verification, documentation, and closure after a production change has been executed.
  • Ability to collaborate across engineering and customer-facing teams, make unclear ownership visible, and help turn operational problems into actionable improvements.
  • Clear written and verbal communication, particularly when documenting procedures, explaining risk, coordinating changes, or escalating exceptions.
  • You do not need to be a dedicated software or platform engineer. Some scripting or infrastructure-as-code experience is helpful, but this role is primarily about technical operations, sound judgment, service ownership, and continuous improvement.

What we value

  • We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
  • We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
  • We believe in individuals who seek truth and speak the truth and can be their whole selves at work
  • We value all of you that believe improving is always possible. At Domino, everything is a work in progress – we can do better at everything
  • We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company

#LI-Remote

Skills Required

  • Experience working with production cloud or SaaS environments in Cloud Operations, Production Operations, Site Reliability Engineering, Platform Operations, DevOps, Application Operations, or a similar technical operations function.
  • Familiarity with cloud-native technologies and concepts, especially AWS and Kubernetes.
  • Experience structuring, documenting, and standardizing recurring or loosely defined operational work.
  • Strong operational judgment, including recognizing deviations from procedures and escalating appropriately.
  • Ability to use logs, monitoring, deployment output, configuration, and other technical signals to assess system state.
  • Systems mindset focused on simplifying, standardizing, automating, or eliminating repeated work.
  • Strong ownership and follow-through, including verification, documentation, and closure after production changes.
  • Ability to collaborate across engineering and customer-facing teams and turn operational problems into improvements.
  • Clear written and verbal communication for procedures, risk explanations, change coordination, and escalations.
  • Scripting or infrastructure-as-code experience.

Domino Data Lab Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Domino Data Lab and has not been reviewed or approved by Domino Data Lab.

  • Healthcare Strength Health coverage is positioned as premium, including a $0‑premium option for employees and dependents, with mental‑health coverage and a Calm subscription available. These features point to robust medical, dental, and vision support.
  • Leave & Time Off Breadth Time off and flexibility are emphasized through flexible/unlimited PTO and a remote‑first approach. This setup signals considerable autonomy in managing time away from work.
  • Wellbeing & Lifestyle Benefits Extras such as commuter benefits, a home‑office/equipment stipend, and wellness reimbursements expand everyday support. An EAP and fitness perks further bolster lifestyle and wellbeing offerings.

Domino Data Lab Insights

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The Company
HQ: San Francisco, CA
200 Employees
Year Founded: 2013

What We Do

Domino Data Lab powers model-driven businesses with its leading Enterprise AI platform trusted by over 20% of the Fortune 100. Domino accelerates the development and deployment of data science work while increasing collaboration and governance. With Domino, enterprises worldwide can develop better medicines, grow more productive crops, build better cars, and much more. Founded in 2013, Domino is backed by Coatue Management, Great Hill Partners, Highland Capital, Sequoia Capital and other leading investors. For more information, visit www.domino.ai

Why Work With Us

We’re looking for sharp, scrappy people who crave a high degree of ownership, are laser-focused on personal growth, and can stick the landing between high standards and low ego. In our fast-paced environment, you’ll find all the white space and opportunity you need to thrive.

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