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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 Governance team at Domino is aimed at making Domino become the leading platform that enables enterprises to govern their AI projects effectively and efficiently. This is meant to support innovation cycles for our customers, while allowing them to build models and outputs responsibly and safely. The Data Product team at Domino is responsible for developing the integrations with services, systems and sources that data scientists rely on for their model development and analytics work. Our mission is to make access to data seamless and comprehensive such that data scientists can incorporate data into their workflows without worrying about how. We take satisfaction in making sure that data scientists can derive insights and produce predictions knowing that they have the full availability of data without worrying about engineering complexity. The two teams have been working interchangeably and smoothly to fulfill their respective missions. What your impact will be In your first year, you will: Design and develop software solutions that improve Domino’s user experience with regards to the new, highly-sought Governance feature Extend and contribute enhancements to the open-source software powering Domino Create technical designs and clearly communicate them to cross-functional stakeholders Enable fellow engineers to achieve high quality through design and code reviews Work with product managers to ensure solutions are well planned and delivered on-time What we look for in this role 5+ years of experience in backend development, especially in distributed computing with Hadoop, Spark, Kafka Experience in API design and development, e.g. RESTful APIs, GraphQL and similar, with a focus on integrating backend and front-end systems Strong proficiency in Java, Scala, Go, or Python, dedicated to building high-performance backend solutions Skilled in enhancing backend performance in cloud environments, well-versed in Docker, Kubernetes, and CI/CD practices. Experience building production grade software, preferably in Scala or Go. Comfortable in dynamic, fast-paced settings, possessing strong problem-solving skills and a comprehensive understanding of system design and architecture Strong familiarity with service-oriented architecture (SOA), adept at designing and developing modular, maintainable services for seamless system integration Ability to work independently and be a reliable teammate What we value 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 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 #LI-Remote The annual US base salary range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. Compensation Range $245,000 — $275,000 USD
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.