Senior Backend Developer - ML Platform

Coveo; Montreal; Hybrid; CAD 100,000 - 130,000; Full time

Job summary

Coveo Solutions Inc. is seeking a Senior Backend Developer to enhance their Machine Learning Platform. You will design tools and systems that simplify the model training experience, ensuring efficiency and reliability. The ideal candidate has extensive experience in cloud-native technologies and a passion for improving developer experience.

Qualifications

• 8+ years of backend or platform engineering experience.
• Strong focus on cloud-native and distributed systems.
• Experience with Java, Python, AWS preferred.

Responsibilities

• Design interfaces and tools for training jobs.
• Develop orchestration mechanisms for training jobs.
• Implement observability layers for monitoring.

Skills

Cloud-native systems

Distributed systems

Problem-solving

Developer experience

Education

Bachelor's degree in Computer Science or related field

Tools

Kubernetes

Terraform

Job description

Senior Backend Developer - Machine Learning Platform

Are you passionate about cloud-native technologies, automation, and developer experience? Coveo is looking for a Senior Developer to join our ML Model Training team! Your mission? Build and evolve the infrastructure that powers thousands of model rebuilds every day, enabling our Data Scientists and Applied Scientists to train their models at scale, reliably, and efficiently.

You’ll focus on simplifying the ML model development experience, designing tools and systems that abstract away complexity while giving internal users the visibility and control they need to iterate with confidence. Your work will directly impact how fast, how often, and how safely models are trained across Coveo’s AI ecosystem.

Here’s what you’ll be responsible for:

• Design simple, powerful interfaces and tools that enable scientists to configure and launch training jobs with minimal friction, whether for prototyping or production.
• Develop smart orchestration and automation mechanisms to prioritize, batch, retry, or rollback training jobs at a massive scale.
• Champion performance and cost optimization, helping the organization manage compute usage responsibly without sacrificing velocity or quality.
• Implement robust observability layers so users can monitor performance, track metrics, and debug model training workflows.
• Collaborate with applied scientists and data engineers to understand their needs, improve developer experience, and continuously raise the bar on reliability and efficiency.

Here is what will qualify you for the role:

• 8+ years of backend or platform engineering experience, with a strong focus on cloud-native and distributed systems (Java, Python, AWS preferred).
  Deep understanding of scalable system design, CI/CD, and container orchestration (Kubernetes, ECS, or similar).
• Passion for developer experience: you care about ergonomics and eliminating friction for internal users.
• A problem-solving mindset, with the resourcefulness to analyze, optimize, and debug large-scale systems while continuously embracing a growth-oriented approach.

Here is what would make you stand out:

• Familiarity with Terraform & Kubernetes for infrastructure automation and container orchestration.
• Experience building ML infrastructure or internal platforms used by data science teams.
• Hands-on experience with job orchestration, task queues, or pipelines at scale
• Solid grasp of observability practices (logs, metrics, traces), and how to build systems that are easy to monitor and debug.

Do you think you can bring this role to life? Send us your application, we want to get to know you!

Join theCoveolife!

We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background. We know that applying for a new role is a lot of work and we really appreciate your time.

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Absolutely! This is a question women and under-represented groups ask themselves more often than the rest of the population. Don't underestimate yourself, we are not looking for someone perfect but for someone who is motivated, capable and who will thrive in this position. Allow us to discover you!

Coveo is a Quebec-based company, pioneer in AI-powered search and recommendations. Coveo uses AI technologies and intelligent search to personalize every digital experience for customers, partners, dealers, and employees. Coveo combines unified content, unified interactions behavioral data and machine learning to deliver relevant information and recommendations across every business interaction, making websites, e-commerce, contact centers and intranets efficient, effortless, content-rich, thus boosting conversion.

If it were easy, someone else would have done it. All of our colleagues at Coveo find the drive to continuously seek new challenges and test roads no one else has ever explored. This ethos has allowed us to become a world leader in an innovative industry and to create a collaborative, diverse and trusting place to work filled with amazingly talented and passionate people. We love a good challenge, and we never say no to an opportunity to learn and develop new cutting-edge skills. Discover our values here

In-person
This role requires you to be in the office full-time, whether it be at our Quebec, Montreal, Weert, or London locations. Our modern infrastructures are designed to enhance cross-team collaboration and promote overall well-being.

Hybrid
Our offices in Quebec City, Montreal, London and Weert are designed to foster collaboration and your well-being. We gather there on our pillar days two times a week to strengthen in-person interactions and encourage creativity, all while providing you with the flexibility of a hybrid environment.

Remote
We hire from all over the world because the diversity of backgrounds fuels our continuous innovation. Our benefits will enable you to work comfortably from home, but you may be required to travel to attend our in-person team-building events.

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