Software Engineer II (Data&Connectors)

DataRobot; Canada; Remote; CAD 80,000 - 100,000; Full time

Job summary

A leading AI technology company is hiring a Backend Software Engineer II to expand their GenAI platform. The ideal candidate has 2+ years of experience with Kotlin and a desire to learn Python. Responsibilities include developing features, writing tests, and collaborating with stakeholders. Competitive pay and benefits offered.

Benefits

Medical, Dental & Vision Insurance

Flexible Time Off Program

Paid Holidays

Qualifications

• 2+ years of experience in writing production-quality code.
• Experience working with cloud platforms.
• Desire to learn Python.

Responsibilities

• Develop and support features of DataRobot's GenAI platform.
• Write and maintain automated tests.
• Communicate with product and technical stakeholders.

Skills

Production-quality code

Problem-solving

Communication in English

Tools

Kotlin

Python

Kubernetes

Docker

MongoDB

PostgreSQL

Job description

Overview

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 hiring a backend Software Engineer II to expand our Data&Connectors engineering team, with the main focus on expanding capabilities of our GenAI platform and Agentic applications. This role is ideal for someone with a strong foundation in software engineering who is eager to learn, grow, and tackle complex challenges in the rapidly evolving field of AI. Curiosity, a passion for innovation, and a commitment to delivering high-quality software are qualities we highly value.

As an engineer in this team you will be working with a team of experienced engineers on the 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 Kotlin, Python, Java, Kubernetes, Docker, NGINX, MongoDB, PostgreSQL, Redis, RabbitMQ, and many other tools.

Key responsibilities

• Develop, test and support features of DataRobot with the main focus on expanding unstructured data connectivity capabilities of our GenAI platform and Agentic applications.
• Write and maintain automated tests.
• Manage individual work items and communicate clearly about their progress and constraints.
• 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 team.

Knowledge, Skills & Abilities

• 2+ years of experience writing production-quality code in a collaborative environment, using a JVM language, preferably Kotlin.
• Experience working with cloud platforms: designing, deploying, and maintaining cloud-based solutions.
• Desire to learn and use Python to deliver end-to-end solutions.
• Strong problem-solving and critical thinking skills.
• Strong software engineering fundamentals in algorithms and data structures.
• Understanding of key API design and lifecycle management principles.
• Ability and desire to learn about new technologies.
• 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

• Python experience.
• Experience in GenAI space, including connecting external systems to RAG pipelines and Agentic systems through MCP protocol.
• 5+ years of development experience.
• Understanding of distributed systems fundamentals and principles related to scalability, performance, and reliability.
• Fundamental understanding of Kubernetes and Helm. Experience in building and running software systems on Kubernetes clusters in production.
• CKAD (Certified Kubernetes Application Developer) certification.
• Publicly reviewable contributions to open-source projects.
• Experience supporting and/or maintaining user-facing code and APIs.
• CI/CD pipeline experience.
• 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

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 policy. This includes the applicant privacy considerations and related processes and is intended to be consistent with applicable law.