Senior Backend Engineer

DataRobot•Oakville, ON

About The Position

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. We are seeking a highly motivated and experienced Senior Backend Engineer to join our Access Management team. This role is ideal for someone with a strong background in software engineering who is eager to lead, mentor, and tackle complex challenges in platform engineering supporting the rapidly evolving field of AI. Curiosity, a passion for innovation, and a commitment to delivering high-quality, secure software are qualities we highly value. Consistent with trends in the industry, you will need to continuously develop your ability to be effective with AI-enhanced software development. As a Senior Backend Engineer, you will design, build, and maintain scalable, robust backend systems in user and tenant management, authentication and authorization, secret management, access and controls, and other key systems that power DataRobot's Predictive and Generative AI initiatives. You will also provide technical leadership and guidance to junior engineers. This is an exciting opportunity for an experienced engineer to lead impactful projects, enhance their skills, and collaborate with a team of experienced professionals in one of the most innovative and dynamic industries.

Requirements

5+ years of proven experience writing high-quality software code in a collaborative environment using Python or Go
Demonstrated experience in effective use of AI-enhanced software development
Expert knowledge of Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis
Deep understanding of identity and access management (IAM) concepts and best practices
Familiarity with common security protocols (e.g., OAuth2, OpenID Connect, SAML, etc.) and security best practices
Extensive experience working with cloud platforms: designing, deploying, and maintaining highly available and scalable cloud-based solutions
Familiarity with CI/CD pipelines and DevOps practices, and experience in optimizing deployment processes
Strong understanding of design for scalability, performance, reliability, and security
Effective communication behavior: can connect with both technical and non-technical audiences effectively in English, and capable of mentoring others
A continuous learning mindset with the ability to challenge yourself and apply new knowledge, and to lead by example
Personal drive and a proactive approach to getting things done, including identifying and solving complex problems independently
Adapt to and contribute to the fun, fast-paced environment of our engineering team

Nice To Haves

Strong knowledge of software architecture for large distributed systems and microservices
Understanding of Kubernetes and Helm. Experience in building, deploying, and running software systems on Kubernetes clusters in production at scale.
Extensive working knowledge of automated testing and test-driven development, and experience with various testing methodologies
Keen interest in working in a fast-paced, flexible startup environment with a geographically distributed team, and experience with remote collaboration

Responsibilities

Lead the design, development, and support of new access-related functionality of our Platform
Manage individual projects and milestones with abundant communication of progress, and provide technical leadership to the team
Participate in and lead code reviews, ensuring high code quality and adherence to best practices
Design and architect infrastructure for new features with the input of peers and stakeholders
Create and maintain automated tests, and contribute to test strategy and frameworks
Engage in engineering on-call escalated support of services owned by the team, and provide mentorship to junior engineers on support
Mentor and guide junior engineers, fostering a culture of continuous learning and improvement