Senior Backend Engineer

Job Description:

DataRobot is the leader in Value-Driven AI, a unique and collaborative approach to generative and predictive AI that combines an open platform, deep expertise and broad use-case experience to improve how organizations run, grow and optimize their business. The DataRobot AI Platform is the only complete AI lifecycle platform that interoperates with an organization’s existing investments in data, applications and business processes, and can be deployed on prem or on any cloud environment. Global organizations, including 40% of the Fortune 50, rely on DataRobot to drive greater impact and value from AI.

In order to keep up with the demand for new features in DataRobot, we are looking to grow our backend engineering team. The primary responsibilities of this team include developing and supporting new data science tools, designing and supporting our APIs, and instrumenting DataRobot to integrate with enterprise IT infrastructure. Our team leverages modern technologies to achieve our goals and innovate on our solutions.

Key Responsibilities:

• Develop, test, and support features of DataRobot.

• Create and maintain automated unit tests and functional tests.

• Design infrastructure for new features with the input of peers.

• Manage individual projects and milestones with abundant communication of progress.

• Seek, give, and receive critical feedback in a constructive manner, including but not limited to code reviews.

• Engage in engineering on-call escalated support of services owned by the team.

Knowledge, Skills & Abilities:

• 5+ years of proven experience writing high-quality code in a collaborative environment preferably using Python and/or Go

• Strong Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis.

• An understanding of design for scalability, performance, and reliability.

• Deep experience with automated testing and test-driven development

• Demonstrable knowledge of software architecture for large systems

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

• Self-motivated and proactive, able to take ownership and deliver results.

• Ability and willingness to learn about new technologies.

• Personal drive to get things finished.

• Effective communication behavior.

• Fundamental understanding of Kubernetes and Helm. Experience in building and running software systems on Kubernetes clusters in production

• Hands-on experience with infrastructure provisioning and configuration using Infrastructure as Code (IaC) principles

Nice to have:

• 8+ years of development experience.

• Experience with AWS, Azure, and/or Google Cloud platforms

• CKAD (Certified Kubernetes Application Developer) certification

• Publicly reviewable contributions to interesting and impactful development projects.

• Experience supporting user-facing code and APIs.

• Data Science experience

• Identity and Access Management experience

• CI/CD pipeline experience

Compensation Statement:

The U.S. annual compensation range for this full-time position is between $133,875.00 and $233,625.00 USD/year. This range represents the annual base salary. Actual offers may be higher or lower than this range based on various factors, including (but not limited to) the candidate’s work location, job-related skills, experience, and education.

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,