Senior Backend Engineer

Posted 14 Days Ago
3 Locations
Remote
134K-234K Annually
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Software
The Role
The Senior Backend Engineer at DataRobot will develop and support new features for the DataRobot platform, design APIs, and integrate with enterprise IT infrastructure, while enhancing scalability and reliability through advanced coding practices.
Summary Generated by Built In

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. 

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, 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.

All applicant data submitted is handled in accordance with our Applicant Privacy Policy.

Top Skills

Go
Python
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The Company
Boston, MA
1,610 Employees
On-site Workplace
Year Founded: 2012

What We Do

DataRobot is the AI Cloud leader, delivering a unified platform for all users, all data types, and all environments to accelerate delivery of AI to production. Trusted by global customers across industries and verticals, including a third of the Fortune 50, delivering over a trillion predictions for leading companies globally.

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