DevOps Specialist

About the Role We are looking for an experienced DevOps Specialist to join our Cloud Operations team. This role will be responsible for operating, automating, securing, and continuously improving our AWS cloud infrastructure supporting both traditional SaaS workloads and emerging AI-powered products. The ideal candidate will have strong hands-on experience with AWS, Infrastructure as Code, Kubernetes, automation, CI/CD, PostgreSQL/Aurora, Linux, security, and observability, along with an interest in supporting modern AI/LLM platforms, AI agents, and Model Context Protocol (MCP) services. The successful candidate should be comfortable taking ownership of production systems, troubleshooting complex infrastructure and application issues, and continuously improving reliability, security, automation, performance, and cost efficiency., Support day-to-day AWS Cloud Operations and DevOps activities while continuously improving operational standards and best practices. Design, provision, maintain, and optimize highly available and scalable infrastructure within AWS. Build and maintain Infrastructure as Code (IaC) using tools such as Terraform, AWS CloudFormation, and Ansible. Develop and maintain automated infrastructure provisioning, deployment, configuration, upgrade, backup, and recovery workflows. Support containerized and microservices-based environments using Docker, Kubernetes, and Amazon EKS. Manage Kubernetes deployments, cluster configuration, scaling, upgrades, monitoring, troubleshooting, and lifecycle management. Build, maintain, and improve CI/CD pipelines and Git-based deployment workflows. Own the operational lifecycle of infrastructure supporting the companys AI-powered products and services, including provisioning, deployment, scaling, monitoring, troubleshooting, security, and cost optimization. Deploy, administer, monitor, and secure Model Context Protocol (MCP) servers supporting multiple internal teams and AI use cases. Manage MCP integrations, authentication, granular access permissions, secrets, database connectivity, and external service integrations in accordance with security and data privacy requirements.

3-5 years of hands-on experience working with Amazon Web Services (AWS) in production environments. Strong hands-on experience with Kubernetes, Amazon EKS, and Docker in Linux environments. Strong experience with Infrastructure as Code, particularly Terraform and/or AWS CloudFormation. Experience designing and supporting automated infrastructure provisioning and deployment pipelines. Experience with Git and modern CI/CD pipelines and DevOps practices. Practical understanding of AWS networking, security architecture, IAM, encryption, secrets management, and vulnerability management. Bachelors degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent relevant professional experience.

Preferred Certifications One or more relevant industry certifications would be an asset, including:

AWS certifications Certified Kubernetes Administrator (CKA) or related Kubernetes certification Docker/container certifications Cloud security certifications

Professional Attributes

Strong written and verbal communication skills. Strong ownership and sense of responsibility for production systems. Strong technical documentation skills. Able to evaluate new technologies pragmatically rather than adopting technology for its own sake. Strong problem-solving and analytical skills. Should be able to manage on call schedule and outside business hours deployments., Amazon Web Services (AWS), Ansible, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Authentication, Automation, Best Practices, Cloud Computing, Communication Skills, Computer Science, Computer Security, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Cost Control, Cryptography, Data Recovery, DevOps, Docker, Git, High Availability, High Tech Industry, Identify Issues, Information Technology & Information Systems, Linux Operating System, MCP - Microsoft Certified Professional, Microservices, Modeling Languages, Network Architecture/Engineering, Network Security, On Call, Operational Improvement, PostgreSQL, Presentation/Verbal Skills, Privacy Controls, Production Systems, Reliability Engineering, Schedule Development, Security Architecture, Security Protocols, Server Support, Software as a Service (SaaS), Technical Writing, Telephone Skills, Testing, Use Cases, Writing Skills

Messagepoint is a privately owned software company providing an AI-powered SaaS solution that enables enterprises to manage and personalize customer communications with greater speed, accuracy, and control. Our award-winning platform empowers business users to create and optimize compliant, personalized communications across digital and print channels using advanced content intelligence and large language models. Messagepoint is headquartered in Toronto, with employees located throughout Canada, the United States, France, and the United Kingdom.