Senior Software Development Engineer-MLOps

Workday; Vancouver; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading company in the tech industry is seeking a Senior Software Development Engineer-MLOps to enhance their machine learning capabilities. The role focuses on building robust ML infrastructure, collaborating with cross-functional teams, and requires extensive experience in MLOps and cloud programming. Workday offers a competitive salary, flexible work arrangements, and a commitment to diversity and innovation.

Benefits

Competitive pay and benefits

Flexible work arrangements

Collaborative culture

Qualifications

• 5+ years of experience in ML software development with a Master’s degree or higher.
• Experience designing and maintaining MLOps services, especially with Kubeflow.
• Proficiency in web applications, microservices, and API design.

Responsibilities

• Deliver scalable and reliable solutions with multi-functional teams.
• Build MLOps platforms using Kubeflow and related frameworks.
• Engage with data scientists and ML engineers to define requirements.

Skills

Machine Learning

MLOps

Cloud Programming

API Design

Kubernetes

Python

Terraform

CI/CD Workflows

Education

Master’s degree in a related field

Bachelor’s degree in a related field

Tools

Kubeflow

Databricks

Sagemaker

VertexAI

Job description

Senior Software Development Engineer-MLOps

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We are seeking a Senior Software Development Engineer-MLOps to join our team. This role involves building ML capabilities into our products, focusing on MLOps, CloudOps, and data engineering to enable the development, deployment, and lifecycle management of machine learning models.

As part of our Machine Learning Product team, you will collaborate with ML engineers and other software teams to create scalable, secure, and reliable ML infrastructure, primarily using tools like Kubeflow, Kubernetes, Python, and Terraform. You will be responsible for designing APIs/microservices, developing cloud-based services, and building systems for data storage, retrieval, and monitoring.

Key responsibilities include:

1. Delivering scalable and reliable solutions with multi-functional teams
2. Building MLOps platforms using Kubeflow and related frameworks
3. Engaging with data scientists, ML engineers, and product managers to define requirements
4. Developing cloud services and infrastructure as code
5. Designing systems for data management and security
6. Monitoring ML services and leading architecture and code reviews

Qualifications include:

• 5+ years of experience in ML software development with a Master’s degree or higher, or 6+ years with a Bachelor’s degree
• Experience designing and maintaining MLOps services, especially with Kubeflow
• Proficiency in web applications, microservices, and API design
• Experience with CI/CD workflows, Kubernetes, and cloud programming in Python or Go
• Familiarity with ML platforms like Databricks, Sagemaker, or VertexAI

Preferred skills:

• Distributed systems implementation
• Industry trend awareness and continuous improvement
• Operational troubleshooting and security best practices
• Cloud infrastructure optimization (AWS, GCP)
• Experience with tools like Databricks and Sagemaker
• Leadership or mentoring experience

Workday offers competitive pay and benefits, flexible work arrangements, and a collaborative culture that values diversity and innovation. We are an equal opportunity employer committed to inclusive hiring.