Staff Software Engineer (Fleet)

DataRobot; Canada; Hybrid; CAD 100,000 - 130,000; Full time

Job summary

A leading AI solutions provider located in Canada is seeking a senior engineer to architect and implement scalable Kubernetes infrastructure for multi-cloud environments. The candidate should have 7+ years of experience in engineering and expertise in Kubernetes internals. Responsibilities include leading technical initiatives and driving modernization efforts. Competitive pay and comprehensive benefits are offered.

Benefits

Medical, Dental & Vision Insurance

Flexible Time Off Program

Paid Holidays

Global Employee Assistance Program (EAP)

Qualifications

• 7+ years of engineering experience, at least 2+ in infrastructure or backend systems roles.
• Proven ability to design and build systems from scratch.
• Strong proficiency in modern programming languages.
• Experience operating across multiple cloud providers or hybrid environments.

Responsibilities

• Architect and implement scalable, secure Kubernetes-based infrastructure.
• Lead technical direction for core Fleet initiatives.
• Drive modernization efforts and introduce patterns like GitOps.
• Champion best practices in CI/CD and infrastructure capabilities.

Skills

Kubernetes internals

Python

Go

CI/CD automation

IaC (Terraform, Pulumi)

Cloud providers (AWS, GCP, Azure)

GitOps workflows

Tools

Helm

Cilium

Kyverno

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.

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.

Benefits

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