AI Summary
Build and maintain highly reliable, scalable, and secure cloud-based systems in a fast-paced engineering environment. Collaborate with development teams to enhance service performance, operational maturity, and deployment efficiency across multiple applications. Design, implement, and maintain CI/CD pipelines, cloud infrastructure, and observability solutions using modern DevOps toolchains.
Key Highlights
8+ years of DevOps/SRE experience
Hands-on AWS services (EC2, S3, Lambda)
CI/CD pipeline optimization with Jenkins/Bamboo
Cloud infrastructure design with Docker/Kubernetes
Monitoring and observability using DataDog/Sumo Logic
Security tools: JFrog Xray, Veracode
Infrastructure automation with Ansible/Chef/Puppet
Scripting in Python, Bash, PowerShell
Agile team collaboration
Remote contract opportunity across Canada
Key Responsibilities
Collaborate with development teams to enhance service reliability, scalability, and operational performance
Design, implement, and maintain CI/CD pipelines using tools such as Jenkins, Bamboo, and Sonar
Build and manage cloud infrastructure and deployment systems using Docker and Kubernetes
Implement observability and monitoring solutions using tools such as DataDog, Sumo Logic, and MS Teams alerting
Identify, analyze, and remediate vulnerabilities using security tools such as JFrog Xray and Veracode
Develop infrastructure automation using tools like Ansible, Chef, or Puppet
Support cloud environments (AWS) including compute, storage, networking, and serverless services
Improve system reliability through telemetry, performance tuning, and proactive incident prevention
Contribute to scripting and automation using PowerShell, Python, or Bash
Ensure adherence to security best practices across infrastructure and application deployments
Work within Agile teams to support iterative development and continuous delivery
Technical Skills Required
Benefits & Perks
Competitive contract opportunity
Remote flexibility across Canada
Exposure to large-scale cloud-native environments
Opportunity to work with modern DevOps toolchains
Collaborative engineering culture
Potential for contract extension
Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a SRE / DevOps Engineer in Canada.
This role focuses on building and maintaining highly reliable, scalable, and secure cloud-based systems in a fast-paced engineering environment. You will work closely with development teams to improve service performance, operational maturity, and deployment efficiency across multiple applications. The position blends software engineering, infrastructure automation, and observability practices to ensure high system availability and resilience. You will contribute to CI/CD pipeline optimization, cloud infrastructure design, and production support strategies. A strong emphasis is placed on monitoring, security, and continuous improvement using modern DevOps toolchains. This is a hands-on technical role where your work directly impacts system stability, performance, and delivery speed across enterprise environments.
Accountabilities
- Collaborate with development teams to enhance service reliability, scalability, and operational performance.
- Design, implement, and maintain CI/CD pipelines using tools such as Jenkins, Bamboo, and Sonar.
- Build and manage cloud infrastructure and deployment systems using Docker and Kubernetes.
- Implement observability and monitoring solutions using tools such as DataDog, Sumo Logic, and MS Teams alerting.
- Identify, analyze, and remediate vulnerabilities using security tools such as JFrog Xray and Veracode.
- Develop infrastructure automation using tools like Ansible, Chef, or Puppet.
- Support cloud environments (AWS) including compute, storage, networking, and serverless services.
- Improve system reliability through telemetry, performance tuning, and proactive incident prevention.
- Contribute to scripting and automation using PowerShell, Python, or Bash.
- Ensure adherence to security best practices across infrastructure and application deployments.
- Work within Agile teams to support iterative development and continuous delivery.
Interested in remote work opportunities in Devops? Discover Devops Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- 8+ years of experience in DevOps, SRE, or infrastructure engineering roles.
- 2+ years of hands-on experience with AWS services such as EC2, S3, and Lambda.
- Strong experience with Windows and Linux environments, including IIS, .NET, and Java-based applications.
- Proficiency with CI/CD tools such as Jenkins or Bamboo and code quality tools like Sonar.
- Solid experience with monitoring and observability tools such as DataDog and Sumo Logic.
- Strong scripting skills in Python, Bash, or PowerShell for automation and system management.
- Experience with infrastructure-as-code tools such as Ansible, Chef, or Puppet.
- Strong understanding of cloud security, networking, DNS, and storage architectures.
- Familiarity with containerization and orchestration using Docker and Kubernetes.
- Excellent problem-solving, communication, and collaboration skills in distributed teams.
- Experience working in Agile environments.
- Bachelor’s degree in Computer Science or equivalent practical experience is preferred.
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Competitive contract opportunity with remote flexibility across Canada.
- Exposure to large-scale cloud-native and enterprise infrastructure environments.
- Opportunity to work with modern DevOps, SRE, and automation toolchains.
- Hands-on experience with AWS and containerized cloud architectures.
- Collaborative engineering culture focused on reliability and continuous improvement.
- Opportunity to influence system performance, scalability, and security at scale.
- Engagement in Agile delivery teams with strong technical ownership.
- Potential for contract extension based on performance and business needs.
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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