Full-Time

Senior Software Engineer

Life Sciences Team

Confirmed live in the last 24 hours

Domino Data Lab

Domino Data Lab

201-500 employees

Platform for building and managing AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Compensation Overview

$163k - $189kAnnually

Senior

Remote in USA

Remote position available only to candidates located in the United States.

Category
Backend Engineering
Software Engineering
Required Skills
gRPC
Kubernetes
Python
Apache Spark
Machine Learning
Java
Docker
Go
Scala
REST APIs

You match the following Domino Data Lab's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • 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
Responsibilities
  • 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
Desired Qualifications
  • 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

Domino Data Lab provides a platform for businesses to build, deploy, and manage artificial intelligence (AI) models. This platform supports collaboration among teams and helps establish best practices while tracking models in production. It allows companies to innovate without being tied to a single vendor by offering access to a wide range of open source and commercial tools. Unlike many competitors, Domino Data Lab focuses on creating a central hub for AI operations that integrates workflows and automation tailored for enterprise needs, ensuring compliance and governance. The platform can run AI workloads in various environments, including on-premises and multiple cloud options, which helps optimize costs and performance. The goal of Domino Data Lab is to enable businesses to scale their AI initiatives efficiently while managing risks and reducing operational costs.

Company Stage

Series F

Total Funding

$220.4M

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

-1%

1 year growth

0%

2 year growth

-2%
Simplify Jobs

Simplify's Take

What believers are saying

  • Increased demand for AI governance solutions aligns with Domino's platform capabilities.
  • Domino's involvement in the SCE Coalition boosts its presence in the pharmaceutical industry.
  • The U.S. Navy partnership showcases Domino's impact in defense applications.

What critics are saying

  • Competition from platforms like Databricks and DataRobot is intensifying.
  • The veto of California's AI Bill may increase competition from smaller developers.
  • Balancing innovation with compliance in life sciences poses a challenge for Domino.

What makes Domino Data Lab unique

  • Domino Data Lab offers a unified platform for AI model management and deployment.
  • The platform supports open-source and commercial tools, avoiding vendor lock-in for clients.
  • Domino's platform integrates workflows and automation for enterprise compliance and governance.

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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 six 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.