DevOps Engineer

Summary

Join Ada, an AI customer service company, as a Cloud Engineer on the DevOps team. You will build and maintain the infrastructure powering Ada's AI platform, collaborating with product and engineering teams. This role requires 3+ years of DevOps experience, strong automation skills, and experience with cloud platforms (AWS/Azure/GCP), containers (Kubernetes), and data infrastructure (MongoDB). You will create and support scalable systems, troubleshoot infrastructure issues, and participate in on-call rotations. Ada offers competitive salaries, unlimited vacation, comprehensive benefits, flexible work schedules, and a remote-first work environment.

Requirements

• 3+ 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)

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
• Contribute to delivering cross-cutting technical solutions that increase efficiency and reduce operational toil within the company
• Participate in our sprint activities including: planning, demos, and retrospectives
• Help the DevOps team deliver on our roadmap by owning and executing projects and tasks
• Enhance the internal developer experience by abstracting non-essential activities from the software development lifecycle

Preferred Qualifications

• Familiarity with managing and scaling environments with 100s/1000s of nodes
• Familiarity with ArgoCD and GitOps principles
• Familiarity with support tooling (PagerDuty, Datadog, Loft, Doppler)

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