Domino Data Lab

Staff Software Engineer, Infrastructure

Remote US
USD 200k - 235k
Kubernetes Docker AWS Terraform Scala Python Go GCP Azure
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 Distributions team is at the forefront of ensuring our platform is scalable, reliable, and high-performing across a diverse range of deployment environments—from on-premise data centers to cloud infrastructures. We leverage cutting-edge technologies to optimize performance and cost efficiency while meeting the demands of a rapidly growing number of deployments with tight SLAs.

Our platform powers mission-critical workloads for our customers, providing the backbone for their most important operations. As we continue to innovate, we're pushing the boundaries of what’s possible in distributed systems and cloud-native deployments.

If you're excited about solving complex infrastructure challenges and making an impact at scale, we’d love to have you on board!

What your impact will be

In this role, you’ll play a crucial part in shaping the backbone of our platform, empowering both our customers and engineering teams. Your work will directly influence scalability, reliability, and developer experience. Here’s how you’ll make an impact:

  • Build for the Customer – Design and develop software solutions that guide our customers through their full lifecycle, ensuring a seamless and efficient experience.
  • Elevate the Platform – Develop a flexible, scalable, and extensible set of shared services to power our product’s future growth.
  • Empower Engineers – Improve the developer experience by optimizing processes, automation, and tooling, making it easier to test, deploy, and maintain software.
  • Strengthen Open Source – Extend and contribute enhancements to the open-source technologies that form the foundation of our product.
  • Bridge Engineering & Strategy – Create and communicate well-structured technical designs that align with business objectives and resonate with cross-functional stakeholders.
  • Raise the Bar on Quality – Help fellow engineers deliver high-quality work through thoughtful design and code reviews.
  • Deliver with Impact – Collaborate with product managers to ensure solutions are well-planned, aligned with user needs, and delivered on time.

What we look for in this role

  • 8+ years previously in a software engineering individual contributor role
  • Kubernetes Expertise – Proven experience designing, deploying, and managing Kubernetes clusters and workloads in production environments.
  • Software Development – Strong proficiency in building reliable, scalable software, preferably in Python or Go.
  • Containerization Knowledge – Experience with container technologies such as Docker, containerd, CRI-O, and podman.
  • Cloud-Native Architecture – Hands-on experience designing and operating cloud-based systems on AWS, GCP, or Azure.
  • Infrastructure as Code – Familiarity with automation tools like Terraform, CloudFormation, and Helm to streamline infrastructure management.
  • Linux Systems Expertise – Deep understanding of Linux system internals, including kernel fundamentals and low-level system operations.
  • Distributed Systems Experience – Strong grasp of distributed computing principles and best practices.
  • Effective Communication – Ability to articulate technical concepts, collaborate across teams, and document processes clearly.
  • Independent Problem-Solving – Capable of working autonomously and driving initiatives to completion.

Bonus Points

  • Security Awareness – Understanding of security challenges specific to cloud and containerized environments.
  • GCP or Azure Specialization – Advanced knowledge of GCP or Azure is a plus.
  • Functional Programming – Experience with Scala or other functional programming languages is advantageous.

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
$200,000$235,000 USD
Domino Data Lab
Domino Data Lab
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