Senior Cloud & DevOps Engineer (AWS)

Senior DevOps Engineer (AWS \| Python \| Data Science Collaboration)

Location:

Fully Remote – Canada

Type:

Full-time \| Contract initial 7 months with scope to extend or go perm

About the Opportunity

Our client, a leading research and innovation organization, is seeking an experienced

Senior DevOps Engineer

to join their cutting-edge

Labs team

. This role offers the chance to work closely with

Data Science and Machine Learning

teams, supporting the development of scalable, automated AWS cloud solutions that drive real innovation.

This is a

fully remote position within Canada

, ideal for a DevOps professional who thrives in collaborative, fast-paced, and technically complex environments.

The Role

As a Senior DevOps Engineer, you’ll play a key role in designing, deploying, and maintaining AWS infrastructure that powers advanced data and ML projects. You’ll work alongside talented engineers and researchers to create efficient, reproducible, and secure environments.

You will:

Build and manage

AWS-based cloud solutions

to support R\&D initiatives.

Collaborate with

Data Science and ML teams

to automate workflows and enhance delivery pipelines.

Develop and maintain

CI/CD

and

IaC

frameworks (GitHub Actions, CodeBuild, CloudFormation, CDK).

Drive

continuous improvement

and

innovation

in cloud operations and automation practices.

Mentor and support team members, fostering best practices in DevOps and cloud architecture.

About You

You’re an experienced AWS DevOps engineer who enjoys working across disciplines to make complex systems run smoothly. You’re comfortable working independently and communicating effectively with both technical and non-technical stakeholders.

Required Skills \& Experience:

5+ years of hands-on experience with

AWS

, including ECR, ECS, S3, RDS, Lambda, VPC, IAM, SageMaker, Bedrock, and EC2.

Strong scripting ability in

Python

and

Bash

.

Proficiency with

CI/CD

tools (GitHub Actions, AWS CodeBuild) and

IaC

(CloudFormation, CDK).

Solid understanding of systems design and DevOps best practices.

Excellent communication skills and experience collaborating with cross-functional teams.

Preferred Skills:

AWS Certifications

(Solutions Architect, DevOps Engineer).

Familiarity with

machine learning workflows

and

MLOps

concepts.

Experience with

Kubernetes

or similar container orchestration tools.

Knowledge of

monitoring tools

(Datadog, AWS CloudWatch).

Background in

cloud optimization

and cost management.

Experience using

AI-assisted development tools

such as GitHub Copilot.

Why Apply?

Work

fully remotely anywhere in Canada

.

Join an

innovative, research-driven organization

at the forefront of Data Science and AI.

Collaborate with talented engineers and researchers on impactful projects.

Competitive rate available