Senior Software Engineer, Domino Data Lab
Life Sciences Team
$163-189k
Enterprise AI platform
Open for applications
Enterprise AI platform
201-500 employees
Open for applications
$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 previously in a software engineering individual contributor role
- Building Scalable Systems: Developing and managing high-performance back-end systems in distributed compute environments
- Cross-Functional Collaboration: Integrating back-end systems with front-end interfaces and third-party services
- API Development: Designing secure, efficient APIs using technologies like RESTful APIs and gRPC
- Performance Optimization: Profiling and fine-tuning back-end systems, particularly in cloud environments and with container technologies like Docker and Kubernetes
- Testing and CI/CD: Implementing robust testing frameworks (unit, integration, end-to-end) and maintaining CI/CD pipelines
- Distributed Computing: Familiarity with frameworks like Apache Hadoop, Spark, Ray, or similar technologies
- Back-End Programming: Proficiency in languages like Python, Java, Scala, or Go to build scalable web services
- Architectural Design: Experience with service-oriented architectures (SOA) and modular, maintainable system design
- AI/ML Concepts: Knowledge of machine learning workflows and infrastructure is a plus
- 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
What the job involves
- In your first year, you will
- Enhance Domino Datasets functionality to allow access via APIs, complementing traditional file system mounts
- Improve Git repository and version control support within Domino Projects and Workspaces
- Design and implement regulatory compliance features aligned with FDA requirements, ensuring the authenticity, confidentiality, and validation of electronic records
- Build end-to-end audit logging to provide comprehensive workflow transparency
- Automate external data version tracking to improve lineage and reproducibility for third-party data sources
- Optimize workspace performance, focusing on Kubernetes-based compute-on-demand IDE functionality
- The Life Sciences Team is revolutionizing the discovery and delivery of transformative therapies by empowering researchers, operators, and regulators with innovative tools and solutions. Our mission is to:
- Leverage industry-leading assets—data, metadata, and code—to deliver AI-driven efficiencies across the development lifecycle
- Integrate seamlessly with niche tools and frameworks while embedding role-based insights into user workflows
- Set the Gold Standard for collaboration among Sponsors, Academic Institutions, and Regulatory Bodies, ensuring the highest standards of reproducibility, auditability, and knowledge sharing
- By fostering collaboration and enabling faster, safer therapy development, we’re setting a new benchmark for excellence in Life Sciences
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 can 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
- Health & wellness: Premium medical, dental, and vision insurance plans, including a free option for you and your family
- Commuter benefits: What’s your transportation of choice? We support your daily commute, whether Uber, Lyft, bus, or train
- Love for parents: New parents receive up to eight weeks of fully paid-parental leave. P.S. Got baby pics? Share them in our Slack channel dedicated to kids
- Flexible paid time off: We value your right to disconnect. Take the time you need to recharge, spend time with family, and explore the world
- Annual education reimbursement: Pursue the professional growth that will help you excel in your role with educational opportunities that work for your needs, and at your speed
- Own your outcome: Feel supported 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
(Co-Founder & CEO)Graduated from Harvard with a Master's in Computer Science. Previously worked as a Senior Application Technologist at Bridgewater Associates before co-founding Domino Data Lab in 2013.
Christopher Yang
(Co-Founder & CTO)Graduated from MIT with a Master's in Computer Science. Previously worked as a Software Developer at Bridgewater Associates before co-founding Domino Data Lab in 2013.
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