Senior Python Software Engineer - (Data&Connectors)

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 is looking for a Senior Software Engineer to expand our Data&Connectors engineering team, with the main focus on development of backend of our GenAI platform and Agentic applications.

As an engineer in this team you will be working with a team of experienced engineers working on a bleeding edge of practical GenAI and Agentic application development. The team is located all over the world, including the US, Ukraine, Germany, Poland and Singapore. Our technology stack includes Python, Kotlin/Java, Kubernetes, Docker, Helm, Harness and many other tools.

Key Responsibilities:

• Develop, test and support features of DataRobot with the main focus on expanding unstructured data connectivity and data processing capabilities of DataRobot GenAI platform and Agentic applications.

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

• Write and maintain automated tests.

• Communicate clearly and pro-actively with product and technical stakeholders to clarify requirements.

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

• Work collaboratively with peers and take initiative in solving problems and unblocking others.

• Take ownership of the components we develop and deliver work that you can be proud of.

• Engage in engineering on-call escalated support of services owned by the Data&Connectors team

• Competencies should be at a level where a manager can have high confidence in the engineer’s ability to deliver tasks on time.

Knowledge, Skills & Abilities:

• Due to the varied abilities of Backend Engineers, we are open to a wide range of experience from 4 years up to 10+ years of proven experience writing high-quality code in a collaborative, cloud-native environment preferably using Python

• Experience working with cloud platforms: designing, deploying, and maintaining cloud-based solutions

• Strong software engineering fundamentals in algorithms and data structures. Distributed systems fundamentals and principles related to scalability, performance, and reliability.

• Strong problem-solving and critical thinking skills. Personal drive and a proactive approach to getting things done.

• Effective communication behavior: can connect with both technical and non-technical audiences effectively in English

Nice to Have:

• JVM experience.

• Experience with k8s, docker, helm

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

• Experience with CI/CD, preferably Harness

• Understanding of oAuth/JWT/Kerberos/LDAP/SAML

• CKAD (Certified Kubernetes Application Developer) certification

• Keen interest in working in a fast-paced, flexible startup environment with a geographically distributed team

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.

Use of Artificial Intelligence in Our Hiring Process

DataRobot uses approved AI-powered tools to support the hiring process in selected regions. These tools may assist in writing job descriptions, reviewing applications, assessing qualifications, and evaluating candidate materials. All decisions regarding applications are made by members of the DataRobot team.

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