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Solution Engineer, Public Sector

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

Solution Engineers are highly skilled technical professionals possessing an in-depth understanding of Kubernetes, Linux, and Cloud systems. Their expertise extends to the Domino platform, which they leverage to guide and optimize the AI strategies of their customers. These engineers take a holistic approach to their work, recognizing that successful AI implementation goes beyond technical proficiency. They focus on people and processes, collaborating closely with customers to design and implement solutions that align with their unique business needs. This involves a wide range of activities, including the implementation, enhancement, integration, and optimization of Domino deployments. By taking a customer-centric approach and focusing on delivering tangible business value, Solution Engineers play a critical role in ensuring the success of every customer engagement. They are not simply technical implementers, but rather, they are trusted advisors and value creators who help customers navigate the complexities of the AI landscape and achieve their business objectives.

What your impact will be

  • Build custom solutions for customers that integrate with Domino to enhance the customer experience. The solutions built should be well documented, tested, and the rest of the PS team should be enabled on the solution.
  • Collaborate with the larger Domino team to ensure that the customer's voice is being heard with regards to feature or bug prioritization as well as feedback on the platform
  • Create reproducible artifacts that address recurring client needs, enhancing efficiency and consistency in our delivery process. These artifacts should follow best practices, be tested in various scenarios, and have thorough documentation.
  • Achieve mastery in at least two specific Domino components, such as Keycloak integration, DMM, DataSources, or Environment builds. This expertise should be demonstrated through successful project implementations, the creation of detailed guides, and readiness to provide consultation to both the team and customers. Aim to become the recognized "go-to" expert in these components within the organization.
  • Dedicate time to consistently upgrade skills and knowledge. This includes training in areas such Cloud platforms, Kubernetes and Data Science. The newly acquired skills should not remain theoretical; they should be actively incorporated into client solutions, showcasing the ability to leverage knowledge for project outcomes.
  • Regularly solicit feedback from customers regarding the quality, effectiveness, and relevance of solutions delivered. Use this feedback not only as a metric of personal success but also as a means to identify areas of improvement, ensuring that the solutions provided align perfectly with client needs and expectations.
  • Lead customer training sessions on Domino platform. Ensure clarity and simplicity when explaining complex ideas, aiming for easy understanding regardless of the audience's tech background. Measure success through improved customer proficiency and positive feedback post-training.

What we look for in this role

  • 5+ years professional experience.
  • Minimum 1 year experience in a client facing consulting role.
  • Strong interpersonal and communication skills.
  • Previous experience working and troubleshooting distributed computing frameworks such as: Spark, Hadoop, Dask, etc.
  • Experience building, managing, and debugging Kubernetes clusters
  • Hand-on troubleshooting skills
  • Hands-on DevOps experience with Kubernetes
  • Experience with major Cloud platforms (AWS, Azure, GCP)
  • Knowledge of managed Kubernetes solutions (EKS, AKS, GKP)
  • Programming experience (Python or R preferably)
  • This position requires an active U.S. Secret Security Clearance (US Citizenship required), with the ability to obtain a Top Secret / Sensitive Compartmented Information (TS/SCI) Security Clearance and program access (post start). A U.S. Security Clearance that has been active in the past 24 months is considered active.

What we value

  • 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
  • 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

#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
$155,000$185,000 USD

Average salary estimate

$170000 / YEARLY (est.)
min
max
$155000K
$185000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Solution Engineer, Public Sector, Domino Data Lab

Join Domino as a Solution Engineer in the Public Sector and help shape the future of AI-driven organizations! At Domino, we don't just build software; we empower clients like Johnson & Johnson, GSK, and the US Navy to tackle some of the world’s most critical challenges through advanced data science solutions. In this remote role, you'll leverage your technical expertise in Kubernetes, Linux, and Cloud systems to help optimize AI strategies for our prestigious customers. You’ll be more than just a technical implementer; you'll play a vital role as a trusted advisor. Your job will involve designing and building custom solutions, collaborating closely with clients to ensure their unique business needs are met, and leading training sessions to enhance customer proficiency with our platform. Emphasizing best practices and quality, you’ll also create reproducible artifacts that tackle recurring client needs efficiently. This role not only allows you to demonstrate and deepen your expertise in key Domino components but also encourages continual learning and personal growth. If you're passionate about AI and ready to make an impact at a company that values diversity and innovation, let's build the future together at Domino!

Frequently Asked Questions (FAQs) for Solution Engineer, Public Sector Role at Domino Data Lab
What are the main responsibilities of a Solution Engineer at Domino?

As a Solution Engineer at Domino, you will be responsible for building custom solutions that enhance customer experience, creating reproducible artifacts for efficiency, and collaborating with team members to ensure customer feedback informs our platform’s development. Your role also includes conducting customer training and ensuring that all solutions are well documented and tested.

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What qualifications do I need to apply for the Solution Engineer position at Domino?

To apply for the Solution Engineer role at Domino, you should have at least 5 years of professional experience, including a minimum of 1 year in a client-facing consulting role. Strong communication skills, hands-on experience with Kubernetes, cloud platforms, and programming (preferably Python or R) are essential. Importantly, you must also hold an active U.S. Secret Security Clearance.

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How does Domino support the growth and development of its Solution Engineers?

At Domino, we cultivate a growth mindset amongst our teams. We encourage Solution Engineers to continuously upgrade their skills through training in cloud platforms, Kubernetes, and data science. Our environment emphasizes teaching and learning, ensuring you have access to the tools you need to succeed and innovate in your projects.

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What can I expect from the work culture at Domino as a Solution Engineer?

The work culture at Domino is vibrant and collaborative, where diversity is valued and everyone is encouraged to bring their authentic selves to work. We focus on creativity and problem-solving, fostering an atmosphere where continuous improvement is a shared goal. As a Solution Engineer, you’ll be part of a team that believes in mutual support and learning.

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What potential impact can I have as a Solution Engineer at Domino?

As a Solution Engineer at Domino, your contributions can significantly influence the success of our clients by providing them tailored technological solutions. By effectively implementing and optimizing AI strategies, you can help organizations achieve their business objectives, tackle critical challenges, and enhance overall efficiency in their operations.

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Common Interview Questions for Solution Engineer, Public Sector
Can you describe your experience with Kubernetes and how it relates to the role of Solution Engineer at Domino?

When answering this question, highlight specific projects where you managed Kubernetes clusters, discussing both successes and challenges faced. Include details on how your troubleshooting skills helped resolve issues and improved deployment efficiency, showcasing your hands-on experience and fallibility in real-time problem-solving.

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What approach do you take when collaborating with clients to understand their needs as a Solution Engineer?

Explain your methodology for client interactions, emphasizing active listening, open-ended questions, and feedback solicitation. Highlight how you've previously adapted solutions based on client feedback, demonstrating your customer-centric focus.

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How do you ensure quality and documentation in solutions that you build?

Discuss your process for maintaining quality standards, such as testing methods, code reviews, and the use of best practices. Stress the importance of thorough documentation for both internal teams and clients to facilitate understanding and future development.

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What other technologies do you think complement the Domino platform for optimal AI implementation?

Mention relevant technologies like Spark, Hadoop, or Dask, and describe cases where integrating these technologies enhanced performance or functionality. This shows your technical knowledge and ability to think holistically about solutions.

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How do you keep your technical skills updated in this rapidly changing field?

Answer by discussing your commitment to continuous learning through courses, certifications, or by attending webinars and conferences relevant to Kubernetes and data science. Highlight any recent knowledge that you've effectively applied in previous roles.

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Describe a time when you had to troubleshoot a technical issue for a client. What was your approach?

Provide a specific example, detailing the problem, your diagnostic process, the solutions implemented, and the outcome. This showcases your analytical thinking and technical troubleshooting skills under pressure.

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In your view, what makes a Solution Engineer successful at Domino?

Discuss the importance of a customer-first mentality, collaboration with cross-functional teams, and a continuous improvement mindset. Connect these attributes to how they would help you excel in the role and meet customer expectations.

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What is your experience with cloud platforms like AWS, Azure, or GCP?

Detail specific projects where you've utilized one or more cloud platforms, elaborating on your familiarity with their services, deployment, and management of resources to support client solutions effectively.

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How do you prioritize requests from multiple clients, especially when they conflict?

Describe your method for assessing urgency and impact, and how you communicate with clients regarding timelines and expectations. Emphasize your ability to manage relationships through transparency and prioritization.

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Can you give an example of how you've helped improve a process or system in your previous roles?

Provide a concrete example where your initiative led to enhanced efficiency, reduced errors, or improved customer satisfaction. This not only highlights your problem-solving skills but also aligns with Domino's commitment to continuous improvement.

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Domino Data Lab powers model-driven businesses with its leading Enterprise MLOps platform that accelerates the development and deployment of data science work while increasing collaboration and governance. Many of the Fortune 100 count on Domino t...

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Full-time, remote
DATE POSTED
March 30, 2025

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