Senior Backend Engineer, MLOps (Deploy)

Job Description:

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future. 

DataRobot accelerates the process of building and deployment of predictive and generative models to get the most out of valuable data. We work hard to create tools that nascent data scientists can use effectively while also exposing the rich detail and control that data science veterans rely on. Our headquarters is in Boston, with offices in Ukraine, Poland, Canada, Singapore, and Tokyo.

In order to keep up with the demand for new features in DataRobot, we are looking to grow our MLOps team with software engineers from mid to senior levels. The primary responsibilities of this team include supporting infrastructure and services that enable frictionless ML and GenAI model deployments and consumption in any environment and for any purpose, across DataRobot’s SaaS offerings as well as on-premise offerings.

Key Responsibilities:

• Develop, test, and support features of DataRobot’s AutoML & GenAI platform

• Design and deploy infrastructure for new features and services in collaboration with your team

• Own and drive key projects and milestones while fostering a culture of abundant communication

• Seek, give, and receive critical feedback in a constructive manner, both formally and informally through code reviews, pair programming, and other ad-hoc collaboration

• Perform at a level where a manager can have high confidence in an engineer’s ability to deliver complex solutions on time, maintaining and contributing to an agreed-upon roadmap while managing technical risks and “keeping the lights on”

• Collaborate closely with product managers to distill requirements into actionable technical tasks and drive technical feedback on complexity and approaches

• Engage in Engineering On-Call to provide support for the services owned by the MLOps team

Knowledge, Skills & Abilities:

• Due to the varied abilities of Backend Engineers, we are open to a wide range of experience from 3 years up to 10+ years of proven experience writing high-quality code in a collaborative, cloud-native environment preferably using Python

• Demonstrated experience with AWS, Azure, and/or Google Cloud platforms

• Strong ability working and building large software systems and applications on container orchestration technologies like Kubernetes and/or OpenShift and supporting technologies like Helm in production

• Hands-on experience with infrastructure provisioning and configuration using Infrastructure as Code (IaC) principles using tools like Terraform, Pulumi, CloudFormation, and/or others

• Strong Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis, with a demonstrated understanding of software architecture & design for scalability, performance, and reliability

• Real-world experience decoupling monolithic software into smaller reusable components 

• Deep experience with automated testing and test-driven development

• An owner and mentor mindset: strong drive to become the subject matter expert in your domain, drive projects from 0 to 100, communicate clearly and effectively with stakeholders, and mentor/coach other engineers to bring them to your level and spread best practices

Nice to have:

• CKAD (Certified Kubernetes Application Developer) or equivalent certification

• Publicly reviewable contributions to interesting development projects.

• Experience supporting user-facing code and APIs.

• A keen interest or experience in Data Science, Machine Learning, and GenAI

• CI/CD pipeline development experience

The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!

DataRobot Operating Principles:

• Wow Our Customers
• Set High Standards
• Be Better Than Yesterday
• Be Rigorous
• Assume Positive Intent
• Have the Tough Conversations
• Be Better Together
• Debate, Decide, Commit
• Deliver Results
• Overcommunicate

Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit. 

DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.

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