Senior DevOps Engineer

Position Overview

• Location Type: Remote
• Employment Type: Full-time
• Salary: Not specified

About Ada: Ada is an AI customer service company dedicated to making customer service extraordinary. We aim to set a new standard for quality customer service at scale, empowering enterprise companies to deliver exceptional experiences that are instant, proactive, personalized, and effortless. Ada's AI transformation platform and partnership model combine strategic expertise with powerful AI agent management technology to accelerate businesses' AI maturity, keeping them ahead of the curve. With Ada, 83% of customer conversations are resolved through automation, freeing up valuable time for teams, providing companies with more resources for growth, and allowing customers to focus on what matters most. Founded in 2016, Ada is a Canadian company that has facilitated over 5.5 billion interactions for leading brands such as Square, YETI, Canva, and Monday.com, saving millions of hours of human effort. With over $250M in funding from top-tier investors including Accel, Bessemer, FirstMark, Spark, and Version One Ventures, Ada is a recognized pioneer in the management and application of AI in customer service.

At Ada, we believe individual growth fuels company growth, and our values reflect a commitment to progress and continuous improvement. If you are ambitious and eager to grow, Ada could be the ideal place for you.

Learn more at www.ada.cx.

We are seeking an experienced Cloud Engineer to join our Development Operations (DevOps) team. The DevOps team is responsible for building and maintaining the core infrastructure and tools that power Ada. Their focus also includes enhancing developer velocity, ensuring operational excellence, and fostering a scalable and healthy engineering organization.

Requirements

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

Responsibilities

• Manage and scale cloud-based systems at scale.
• Implement and maintain Infrastructure as Code (IaC).
• Contribute to the development and maintenance of Ada's foundational infrastructure and tools.
• Ensure the reliability and uptime of production services.
• Support developer velocity and operational excellence.
• Handle on-call responsibilities for production services.

Nice to Have

• Familiarity with managing and scaling environments with 100s/1000s of nodes.
• Familiarity with ArgoCD and GitOps principles.