DataRobot, Inc. logo

Senior Python Software Engineer - (Data&Connectors)

Job Overview

Location

Remote Canada - ON

Job Type

Full-time

Category

Software Engineering

Date Posted

June 6, 2026

Full Job Description

đź“‹ Description

  • • Develop, test, and support features for DataRobot’s GenAI platform and Agentic applications with a primary focus on expanding unstructured data connectivity and data processing capabilities.
  • • Own and drive key engineering projects and milestones while fostering a culture of abundant communication across globally distributed teams.
  • • Write and maintain automated tests to ensure code quality, reliability, and scalability of backend services.
  • • Communicate clearly and proactively with product and technical stakeholders to clarify requirements and align on deliverables.
  • • Actively seek, give, and receive constructive feedback during code reviews and team discussions to improve engineering outcomes.
  • • Collaborate with peers to solve complex problems, unblock team members, and advance shared engineering goals.
  • • Take full ownership of developed components, ensuring delivered work meets high standards of quality and maintainability.
  • • Participate in engineering on-call rotations to provide escalated support for services owned by the Data&Connectors team.
  • • Apply strong software engineering fundamentals in algorithms, data structures, distributed systems, scalability, performance, and reliability to design robust backend solutions.
  • • Design, deploy, and maintain cloud-native applications using modern infrastructure tools and practices in a production environment.
  • • Work in a fast-paced, flexible startup environment with a geographically distributed team spanning the US, Ukraine, Germany, Poland, and Singapore.
  • • Ensure all deliverables meet the competency level where managers can have high confidence in timely and reliable execution.
  • • Engage with technologies including Python, Kotlin/Java, Kubernetes, Docker, Helm, and Harness to build and operate scalable AI platforms.
  • • Contribute to the evolution of monolithic systems by decoupling them into smaller, reusable, and independently deployable components.
  • • Maintain high standards of communication in English with both technical and non-technical audiences across global time zones.

🎯 Requirements

  • • 4 to 10+ years of proven experience writing high-quality code in a collaborative, cloud-native environment, preferably using Python
  • • Experience designing, deploying, and maintaining cloud-based solutions on major cloud platforms
  • • Strong software engineering fundamentals in algorithms, data structures, and distributed systems principles related to scalability, performance, and reliability
  • • Effective communication skills in English to interact with technical and non-technical stakeholders
  • • Proven ability to own projects, deliver on milestones, and operate with high autonomy and accountability
  • • Demonstrated problem-solving and critical thinking skills with a proactive approach to execution

🏖️ Benefits

  • • Medical, Dental & Vision Insurance
  • • Flexible Time Off Program
  • • Paid Holidays
  • • Paid Parental Leave
  • • Global Employee Assistance Program (EAP)
  • • Competitive pay and benefits tailored to local legal requirements

Skills & Technologies

Python
Java
Kotlin
Docker
Kubernetes
Senior
Remote

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DataRobot, Inc. logo
DataRobot, Inc.
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About DataRobot, Inc.

DataRobot provides an enterprise AI platform that automates the end-to-end process for building, deploying, and managing machine-learning models at scale. Founded in 2012, the company serves industries including finance, healthcare, retail, and manufacturing, enabling data scientists and business analysts to create predictive analytics without deep coding expertise. The platform integrates with existing data infrastructure, offers governance and monitoring tools, and supports on-premise, cloud, and hybrid deployments. DataRobot emphasizes responsible AI practices and model interpretability to help organizations operationalize artificial intelligence while maintaining compliance and transparency.

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