Senior Backend Engineer, Domino Data Lab
Governance Team
$163-189k
Data science & AI platform
Be an early applicant
Data science & AI platform
201-500 employees
Be an early applicant
$163-189k
201-500 employees
Company mission
To unleash the power of data science to address the world's most important challenges.
Role
Who you are
- 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 the job involves
- 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
- 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
Our take
Domino Data Lab powers model-driven businesses with its Enterprise MLOps platform. Trusted by over 20% of the Fortune 100, Domino can accelerate the development and deployment of data science work, while simultaneously increasing collaboration and governance.
Using the platform, enterprises can develop better medicines, grow more productive crops, build better cars, and more. In 2022, it released two additional solutions that enable customers to easily run machine learning and data science workloads across hybrid and multi-cloud systems - showing that it is able to keep pace with the advancing needs of its clientele.
With nearly all multinational organizations set to invest in local data processing infrastructures and mitigation services by 2026, Domino Data Lab is making an early start on meeting the needs companies face when scaling data science workloads. It is also addressing the ""data science talent gap" with its latest release, Domino Code Assist (DCA). This enables business analysts to elevate their work into the data science world and communicate with advanced data scientists in the same languages, without the need for extensive training.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 8 rounds)
Oct 2021
$100m
SERIES F
Jun 2020
$43m
LATE VC
Total funding: $226.6m
Company benefits
- Premium medical, dental, and vision insurance plans, including a free option for you and your family
- Commuter benefits - we support your daily commute, whether Uber, Lyft, bus, or train
- Up to eight weeks of fully paid parental leave
- Flexible PTO
- Annual education reimbursement
- Support to get your work done how and when you need to, regardless of your location
Company HQ
SoMa, San Francisco, CA
Articles
Leadership
Nick Elprin
(CEO)Graduated from Harvard with a Master's in Computer Science. Previously worked as a Senior Application Technologist at Bridgewater Associates.
Christopher Yang
(CTO)Graduated from MIT with a Master's in Computer Science. Previously worked as a Software Developer at Bridgewater Associates.
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