DevOps Specialist (Remote US-Based – Pacific Time zone)
关于 Messagepoint,MessagePoint 是一家私有软件公司，提供了以人工智能为主的 SaaS 解决方案，使企业能够更快速，准确和控制地管理和个性化客户通信。我们的获奖平台让商业用户通过先进内容智能和大型语言模型创建和优化数字和印刷道中兼容，个性化的通信.Message Point 总部位于多伦多，拥有遍布加拿大，美国，法国和英国的员工。关于角色 我们正在寻找一个经验丰富的 DevOps 专家加入我们的云运营团队。这位职能将负责运营，自动化，确保和持续改善我们的 AWS 云基础设施，支持传统 SaaS 工作负载以及新兴人工智能驱动产品。理想的候选人将拥有强大的实践经验与 AWS,Infrastructure as Code,Kubernetes,automation,CI/CD,PostgreSQL/Aurora,Linux,安全性和可观察性，以及对支持现代 AI/LLM 平台，AI 代理商和模型语境协议 (MCP) 服务的兴趣。成功的候选人应该舒适地拥有生产系统，解决复杂基础设施和应用问题，不断提高可靠性，安全性，自动化，性能和成本效益。关键责任云基础设施& DevOps · 支持日常 AWS 云运营和 DevOps 活动，同时持续改善操作标准和最佳实践。· 在 AWS 中设计，提供，维护和优化高度可用且可扩展的基础设施。· 使用 Terraform, AWS CloudFormation 和 Ansible 等工具构建和维护基础设施作为代码 (IaC). · 开发和维护自动化基础设施配置，部署，配置，升级，备份和恢复工作流程。· 使用 Docker,Kubernetes 和 Amazon EKS 支持集装箱式和微服务型环境。·管理 Kubernetes 部署，集群配置，扩展，升级،监控，故障排除和生命周期管理。·构建，维护和改进 CI/CD 管道和基于 Git 的部署工作流程；·拥有支持公司人工智能产品和服务的基础设施运营寿命周期，包括提供，部署，扩展，监测，解决问题，安全和优化成本。· 部署，管理。
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About Messagepoint
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.
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.
Key Responsibilities
Cloud Infrastructure & DevOps
- 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 company's 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.
Required Qualifications & Skills
- 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.
- Bachelor's 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.
Workplace:
This remote position is open to candidates residing in the United States who are legally authorized to work in the U.S.
Candidates must be available to work during Pacific Time business hours.
Messagepoint is an Equal Opportunity Employer and is committed to fostering diversity, equity, and inclusion in the workplace.
We thank all applicants for their interest; however, only those selected for an interview will be contacted.
Originally posted on Himalayas