Job Title

Overview Lead AWS DevOps Engineer - Amazon Connect, CCaaS Platform. Mostly remote; candidate should be flexible to come to office in Toronto or Waterloo when required. Candidate must reside and work in Canada in last 5 years consecutively. Ideal Candidate will also have Eligibility for Reliability Status Clearance last 5 yrs stay in Canada. Contact centre experience with Amazon Connect or other CCaaS platforms. Knowledge of financial and insurance industries. Key Skills Cloud DevOps, Amazon Web Services (AWS) Cloud Computing, DevOps Continuous Integration and Continuous Delivery (CI/CD) Experience Required: 8-10 years Role and Responsibilities Lead the implementation of DevOps practices and fully automated CI/CD pipelines Collaborate with cross-functional teams to improve software quality and release frequency Design and maintain automated build, test, and deployment processes Support and coach engineers on DevOps tools and practices aligned with standards and policies Ensure security standards are integrated into all solutions Troubleshoot and resolve operational issues related to DevOps pipelines Review and analyze organizational needs and goals to determine future impacts to applications and systems Stay current with emerging technologies and their potential use at Customer MUST HAVE Skills 8 years of progressive IT experience with full application development lifecycle Excellent communication skills; able to articulate complex technical concepts to both technical and non-technical stakeholders Strong analytical skills with a keen eye for detail and the ability to assess alternatives, risks, and benefits; a passion for continuous improvement and innovation Strong DevOps background with a focus on security and automation Hands-on experience with: Build and orchestration tools (e.g., Jenkins, Maven, Gradle, Artifactory) Source code management tools (e.g., Bitbucket, Git, Azure DevOps Server) Automated deployment tools (e.g., Ansible, Chef) Containerization (Docker, Kubernetes) Cloud platforms and services (AWS preferred) Scripting languages (e.g., Python, Shell, Groovy) Infrastructure as Code tools (Ansible, Terraform) Security tools (e.g., SonarQube, JFrog Xray, BurpSuite, Synopsys Seeker) Java, Lambda functions, and APIs Demonstrated ability to collect and interpret DevOps metrics to drive business and technical decisions Familiarity with AIML applications in cloud environments #J-18808-Ljbffr