This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Site Reliability Engineer - Cloud Platform based in Canada.
Join a global cloud infrastructure team responsible for building and operating critical AWS platforms at scale.
You’ll help engineer reliable, secure, and highly automated infrastructure used by teams across the organization.
The role combines hands-on software engineering, cloud platform development, reliability, and operational excellence.
You’ll work extensively with AWS, Python, Infrastructure as Code, observability, and automation-first practices.
Your work will directly improve platform resilience, efficiency, security, and cloud cost management.
You’ll also contribute to strategic initiatives across networking, identity, governance, and multi-account architecture.
This is a remote opportunity suited to an experienced engineer who enjoys solving complex infrastructure challenges and mentoring others.
Accountabilities:
- Operate and scale production AWS infrastructure, taking ownership of the reliability and health of services responsible for provisioning, securing, and managing cloud environments.
- Design, develop, and maintain cloud platform capabilities using Python, CloudFormation, AWS CDK, and automation-focused engineering practices.
- Drive cloud cost optimization initiatives, identifying opportunities to improve infrastructure efficiency and deliver measurable business value.
- Strengthen observability through monitoring, alerting, dashboards, operational tooling, and proactive identification of reliability issues.
- Participate in on-call rotations, lead incident response, troubleshoot production issues, and drive sustainable improvements through blameless post-incident reviews.
- Support strategic cloud initiatives spanning networking, identity and access management, governance, security guardrails, and multi-account architecture.
- Review technical designs and code, maintain documentation and operational runbooks, and mentor other engineers.
- Leverage AI-assisted engineering tools to accelerate development, automate repetitive tasks, and reduce operational toil.
Requirements:
- 5+ years of experience in Site Reliability Engineering, Platform Engineering, Infrastructure Engineering, or a comparable role supporting production AWS environments.
- Strong Python development skills, with practical experience building automation, services, or infrastructure tooling for production use.
- Hands-on experience with Infrastructure as Code, particularly AWS CloudFormation and/or AWS CDK.
- Strong working knowledge of core AWS services, including IAM, VPC, EC2, Lambda, and managed storage or database services.
- Solid Linux systems administration, production troubleshooting, incident management, and operational experience.
- Experience working with multi-account AWS environments or AWS Organizations is highly valued.
- Knowledge of AWS networking technologies such as Transit Gateway, IPAM, or BYOIP, as well as cloud cost optimization or FinOps practices, is a plus.
- Experience with CI/CD pipelines, GitOps-style deployment practices, policy-as-code, compliance automation, or cloud governance tooling is advantageous.
- Familiarity with AI-assisted engineering workflows and a collaborative mindset focused on knowledge sharing, continuous improvement, and mentoring.
Benefits:
- Competitive salary range of CAD $107,000–$161,000 per year, depending on skills, experience, and geographic location.
- Potential eligibility for a 10% discretionary annual cash bonus, based on individual and company performance.
- Potential participation in an equity plan.
- Remote work flexibility, with occasional opportunities to connect with colleagues in person.
- Health, dental, and vision insurance.
- Life insurance, critical illness coverage, and accidental death and dismemberment (AD&D) coverage.
- Healthcare spending account and employee assistance program.
- Paid sick time, personal time, holidays, wellness days, and parental leave.
- Retirement savings benefits and an employee stock purchase program.
- An inclusive environment that values diverse perspectives, professional growth, mentorship, and continuous learning.
- Opportunities to work with large-scale AWS infrastructure, modern automation practices, and AI-assisted engineering technologies.
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!
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.
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