Staff Software Engineer, IDSM

Openkrill; United States; Remote; USD 200,000 - 235,000; Full time

Benefits offered by this job

Equity

Company bonus or sales commissions/bon

401(k) plan

Medical, dental, and vision benefits

Wellness stipend

Job summary

Domino is seeking a senior software engineer to join our Model Development Lifecycle team in a remote capacity within the United States. You will collaborate with customers to design model deployment solutions on AWS SageMaker and Azure ML, and help scale our data science platform with robust monitoring and registry capabilities.

The ideal candidate has 8+ years as an IC, deep AI/ML knowledge, experience with distributed back-end systems, and proficiency in Docker, Kubernetes, and cloud

Qualifications

• 8+ years in a software engineering individual contributor role.
• Strong Background in AI/ML with experience building and deploying models.
• Experience with scalable backend systems in distributed environments.

Responsibilities

• Collaborate with customers to design model deployment solutions (AWS SageMaker, Azure ML).
• Introduce a Data Science Catalog for discovering data science resources.
• Integrate model monitoring for deployment health and performance.
• Enhance tagging across Domino entities for better discoverability and tracking.
• Expand LLM hosting capabilities for scale, performance and logging.

Skills

AI/ML expertise

Backend development

API design

Cloud platforms

Docker & Kubernetes

CI/CD

Distributed computing

Tools

Docker

Kubernetes

Apache Spark

Azure ML

SageMaker

Job description

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 Model Development Lifecycle Team is building a cutting-edge platform to simplify the entire machine learning journey. From development and training to deployment and management, we empower teams to turn data into actionable insights. Our platform supports:

• Seamless API Integration: Deploy models as APIs for consistent use across applications, whether on-premises, in enterprise infrastructures, or through third-party hosting
• Collaboration and Discoverability: Use our model registry to version, store, and easily find models across the organization
• Scalable Training Resources: Leverage advanced tools like GPUs, Ray, and Spark to meet the needs of diverse AI projects

By supporting organizations in developing, registering, and scaling AI models, we enable impactful insights and innovation across the enterprise.

What your impact will be

In your first year, you will

• Collaborate with customers to design solutions for deploying models to platforms like AWS SageMaker and Azure ML
• Introduce a “Data Science Catalog” for discovering and summarizing global data science resources within Domino
• Integrate model monitoring to provide a holistic view of deployment health and performance
• Enhance tagging capabilities across Domino entities to improve discoverability and tracking
• Expand LLM hosting capabilities to address customer needs for scale, performance, and logging

What we look for in this role

• 8+ years previously in a software engineering individual contributor role

Strong Background in AI/ML: Extensive experience or knowledge in designing, building, and deploying artificial intelligence and/or machine learning models, with a deep understanding of model development, training, optimization, and lifecycle management. Proficient in leveraging advanced tools, frameworks, and platforms to create scalable AI/ML solutions that drive impactful outcomes. Skilled in applying state-of-the-art algorithms and techniques to solve complex problems across diverse domains.

• Building Scalable Systems: Hands-on experience developing and managing high-performance back-end systems in distributed computing environments
• Collaboration Across Teams: Working closely with cross-functional teams to integrate systems with front-end interfaces and third-party services
• API Development: Designing and implementing secure, scalable APIs (e.g., RESTful APIs, gRPC)
• Performance Optimization: Profiling and optimizing back-end performance, especially in cloud environments or with container technologies like Docker and Kubernetes
• Testing and CI/CD: Using robust testing frameworks (unit, integration, end-to-end) and setting up CI/CD pipelines
• Distributed Computing: Experience with frameworks like Apache Spark, Azure ML, or SageMaker is a plus
• Cloud Platforms: Proficiency with cloud providers (AWS, Azure, GCP) and deploying services in these environments

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-RemoteThe 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 stipits.

• equity, company bonus or sales commissions/bonuses
• 401(k) plan
• medical, dental, and vision benefits
• and wellness stipits

Compensation Range$200,000-$235,000 USD