Senior DevOps Engineer

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About the role

  • Experienced cloud engineer responsible for building and maintaining infrastructure for Ada's AI customer service platform. Focus on improving developer velocity and ensuring operational excellence.

Responsibilities

  • Create and support scalable and highly reliable software systems to support our growth.
  • Collaborate with product and engineering teams to incorporate reliability into product and feature requirements.
  • Continuous analysis of the existing infrastructure from the reliability perspective, centered around removing performance bottlenecks, optimizing the infrastructure, the toolkit, and the workflows involved in running it.
  • Support various developer tools and processes (deployments, infrastructure management, among others).
  • Work with engineering teams to troubleshoot core infrastructure issues and support teams as a consulted entity for service-specific infrastructure needs.
  • Implement DevOps solutions across cloud infrastructure, infrastructure as code, deployments, and platform abstractions.
  • Participate in an on-call rotation for the services the team owns, triaging and addressing production issues.

Requirements

  • 5+ years of experience in DevOps, Site Reliability Engineering (SRE), or platform teams.
  • Strong motivation and experience in using automation to reduce operational toil for both the DevOps and product engineering teams.
  • Hands-on experience managing and scaling data infrastructure.
  • Hands-on experience with containers and distributed computing platforms like Kubernetes.
  • Experience creating and supporting cloud-based systems at scale (AWS/Azure/GCP), with a strong emphasis on Infrastructure as Code (IaC).
  • Strong understanding of a server-side programming language (proficient in one or more of the following languages/tools: Python, and/or bash scripting).
  • Experience handling on-call responsibilities for production services.
  • Experience managing critical production infrastructure, ensuring reliability and uptime, with a customer-first approach to operational safety.
  • Good understanding of DevOps concepts and best practices.
  • Experience with MongoDB and horizontally scaling data stores (i.e. sharding).

Benefits

  • Unlimited Vacation: Recharge when you need to.
  • Comprehensive Benefits: Extended health coverage, dental, vision, travel, and life insurance.
  • Wellness Account: Empowering you to invest in your overall well-being and lifestyle.
  • Employee & Family Assistance Plan: Resources to support you and your loved ones.
  • Flexible Work Schedule: Balance your work and personal life.
  • Remote-First, In-Person Friendly: Options to work from home or at our local hub.
  • Learning & Development Budget: Invest in your long-term growth goals and skills.
  • Work from Home Budget: Equipping you with the tools and support for a seamless remote work experience.
  • Access to Cutting-Edge AI Tools: Work with the best AI tech stack in the industry.
  • Hands-On with LLMs: Enhance your expertise in leveraging large language models.
  • A Thriving Industry: Join the forefront of innovation in AI, shaping the future of technology.

Job type

Full Time

Experience level

Senior

Salary

CA$120,000 - CA$150,000 per year

Degree requirement

No Education Requirement

Tech skills

AWSAzureCloudGoogle Cloud PlatformKubernetesMongoDBPython

Location requirements

RemoteCanada

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