This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior DevOps Engineer - AWS, Python based in Canada. This role offers the opportunity to drive cloud infrastructure excellence and support the delivery of innovative, AI-powered products for enterprise customers. You will design, automate, and optimize scalable cloud environments while improving reliability, security, and deployment efficiency. Working across engineering teams, you will lead DevOps initiatives, mentor colleagues, and establish best practices for modern software delivery. The position combines hands-on technical expertise with strategic problem-solving and operational leadership. You will contribute to building robust infrastructure solutions using AWS, automation frameworks, and cloud-native technologies. This is an ideal opportunity for an experienced DevOps professional who enjoys solving complex challenges and enabling teams to deliver high-quality software faster. \n

Accountabilities

The Senior DevOps Engineer will be responsible for improving infrastructure reliability, automation maturity, and delivery processes across complex technology environments. This role requires strong technical ownership, collaboration with cross-functional teams, and the ability to design scalable solutions while maintaining security and operational excellence. Review and maintain code across multiple repositories, improving quality, documentation, and long-term maintainability. Analyze existing infrastructure projects and create improvement plans focused on documentation, testing, and operational efficiency. Increase AWS infrastructure test coverage and establish stronger validation practices across repositories. Design, enhance, and maintain automation frameworks, CI/CD pipelines, and deployment processes. Lead DevOps best practices across engineering teams, including source control standards, code reviews, and release management. Architect and manage AWS cloud environments with a focus on scalability, security, reliability, and performance. Develop and maintain Infrastructure-as-Code solutions using tools such as Terraform and AWS CDK. Build and support containerized environments using technologies such as Docker and Kubernetes. Create reusable, tested modules and libraries that can be adopted by engineering teams. Integrate security practices into infrastructure design, development workflows, and operational processes. Implement monitoring, logging, alerting, and troubleshooting strategies using modern observability tools. Diagnose complex system and performance issues through structured debugging and analytical approaches. Collaborate with engineering, product, and technical stakeholders to improve delivery outcomes. Mentor junior engineers and promote knowledge sharing across teams. Participate in on-call support activities to resolve critical issues and maintain service reliability.

Requirements

The ideal candidate is an experienced DevOps professional with strong expertise in cloud infrastructure, automation, and software delivery practices. You should have excellent problem-solving abilities, strong communication skills, and the ability to lead technical initiatives while working effectively with distributed teams. Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience. Extensive professional experience in DevOps engineering with strong Python programming skills. Proven experience delivering production systems with a strong focus on Infrastructure-as-Code. Experience building and maintaining reusable automation modules, libraries, and infrastructure components. 4+ years of experience with Continuous Integration and Continuous Delivery practices and tools such as GitHub Actions, Azure DevOps, or similar platforms. Strong experience with AWS cloud services and cloud architecture principles. Expertise with automation and configuration management tools such as Terraform, Ansible, Puppet, or Chef. Experience with containerization technologies including Docker and Kubernetes. Strong knowledge of Git workflows, pull requests, code reviews, and development standards. Experience designing and managing infrastructure systems across cloud and server environments. Familiarity with databases, authentication systems, connectivity concepts, and SQL querying. Advanced understanding of monitoring, logging, networking, security, and infrastructure management. Experience implementing test-driven development concepts, including unit, integration, and performance testing. Ability to communicate complex technical concepts clearly to technical and non-technical audiences. Strong leadership skills with the ability to mentor engineers and influence cross-functional teams. Excellent English communication skills, both written and verbal. Strong organizational skills with the ability to manage multiple priorities independently. Availability to support global collaboration hours, primarily aligned with Eastern Time business hours. Ability to participate in on-call rotations when required.

Preferred qualifications include

Advanced certifications related to DevOps, AWS, Kubernetes, or cloud technologies. Experience prioritizing technical initiatives based on business impact. Experience creating accurate project estimates, reporting progress, and improving delivery predictability. Experience working in global, remote-first engineering environments.

Benefits

The role provides a competitive benefits package designed to support employee well-being, professional growth, and flexibility. Medical and dental insurance with employee contributions. Long-term disability, life, and accidental death & dismemberment insurance. Paid time off. 10 paid holidays. RRSP retirement plan with employer matching. Flexible remote work policy. Opportunity to collaborate with global engineering teams. Exposure to innovative technologies, complex projects, and diverse industries. Professional growth opportunities through challenging technical work and continuous learning. Collaborative culture focused on knowledge sharing, feedback, and career development.

\n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1