Staff Software Engineer (Fleet)

Zepl; Northwestern Ontario; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading AI company in Ontario seeks an experienced engineer to architect scalable Kubernetes infrastructure and lead initiatives in a dynamic team environment. The ideal candidate has over 7 years of engineering experience, strong Kubernetes knowledge, and a growth-oriented mindset. Join us to enhance our platform's capabilities while enjoying a robust benefits package.

Benefits

Medical, Dental & Vision Insurance

Flexible Time Off Program

Global Employee Assistance Program

Qualifications

• 7+ years of engineering experience, with at least 2+ in infrastructure, platform, or backend systems.
• Deep expertise in Kubernetes internals and operations.
• Proven ability to design and build systems from scratch.

Responsibilities

• Architect and implement scalable, secure Kubernetes-based infrastructure.
• Lead technical direction for core Fleet initiatives.
• Mentor engineers across the team.

Skills

Engineering experience

Kubernetes expertise

Programming proficiency (Python or Go)

CI/CD best practices

Multi-cloud experience

Influencing stakeholders

Education

Bachelor's degree in relevant field

Tools

Terraform

Helm

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’s Fleet team is the engine behind how our platform runs across all customer environments—multi-tenant SaaS, single-tenant SaaS, VPC, and on-prem deployments. We build and operate the foundational Kubernetes infrastructure that powers everything from CI/CD to service orchestration and deployment at scale.

We support a wide variety of deployment models—from SaaS to on-prem - using a Kubernetes-native approach and modern toolset. Our mission is to unify how we build, deploy, and operate the platform across environments while improving resilience, maintainability, and developer velocity.

The next 1–2 years will be transformative for the Fleet team. We’re laying the groundwork to enable unified deployment experiences, zero-downtime upgrades, and intelligent platform automation—while lowering Total Cost of Ownership (TCO) and boosting developer velocity. That’s where you come in.

Key Responsibilities

• Architect and implement scalable, secure Kubernetes-based infrastructure for multi-cloud and hybrid environments.

• Lead technical direction for core Fleet initiatives—control plane services, tenancy models, deployment pipelines, observability layers, and more.

• Mentor engineers across the team, fostering a strong engineering culture of ownership, curiosity, and excellence.

• Drive modernization efforts—introducing patterns like GitOps, Policy-as-Code (Kyverno), Cilium networking, autoscaling, and better resource efficiency.

• Collaborate deeply with SRE, Platform, and Application teams to align infrastructure capabilities with real-world product demands.

• Champion best practices in CI/CD, reliability, container lifecycle management, and dev experience.

• Be a thought partner to engineering leadership and help shape how Fleet scales its impact across the company.

Knowledge, Skills, and Abilities

• 7+ years of engineering experience, with at least 2+ in infrastructure, platform, or backend systems roles.

• Deep expertise in Kubernetes internals and operations, including networking, scheduling, scaling, and controller patterns.

• Proven ability to design and build systems from scratch, making pragmatic tradeoffs along the way.

• Strong proficiency in modern programming languages such as Python or Go. Experience building production-quality, reliable, and observable systems that are used across engineering organizations.

• A growth-oriented mindset—driven to teach, learn, and improve systems as well as people.

• Experience operating across multiple cloud providers (AWS, GCP, Azure) and/or hybrid environments.

• Strong experience with Helm, container orchestration patterns, and CI/CD automation.

• Comfortable working with IaC (Terraform, Pulumi) and GitOps workflows.

• Ability to influence without authority and align diverse stakeholders around technical decisions.

Nice to Have

• Familiarity with Cilium, Kyverno, KEDA, Gateway API, OPA, or similar technologies.

• Experience building and running multi-tenant SaaS platforms.

• Exposure to on-prem delivery models or regulated environments.

• Experience with performance tuning for large-scale data or compute workloads.

• Past success driving infrastructure transformation or decomposing legacy systems.

• Experience working with GPU infrastructure for training and inference.

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, sexual orientation, gender identity, age, or other legally protected characteristics. DataRobot is committed to providing reasonable accommodations to applicants with physical and mental disabilities. All applicant data submitted is handled in accordance with our applicant privacy practices.