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.
Principal Site Reliability Engineer responsible for AWS infrastructure and reliability engineering. Collaborating across teams to enhance platform performance and security practices.
Junior/Intermediate DevOps Engineer role in Toronto (Hybrid). Build CI/CD pipelines with GitHub Actions, deploy Java/Spring Boot apps on OpenShift, and collaborate with DevOps teams.
Platform DevOps managing the Enterprise Data and AI Platform across AWS and Kubernetes. Implementing Infrastructure as Code with Terraform and maintaining CI/CD pipelines for secure solutions.
Lead DevOps specialized in AWS/GCP Cloud solutions for FinOps team. Driving cross - functional activation and managing cloud environments, data integrations, and automation strategies.
Skilled DevOps Engineer providing expertise in deployment automation for TD's technology solutions team. Engaging in improving development and release processes while ensuring security and system integrity.
Ingénieur fiabilité des infrastructures pour soutenir les services SaaS critiques. Collaborer, innover et optimiser la fiabilité et la performance des systèmes cloud sur AWS et Kubernetes.
DevOps Engineer to help scale cloud and on - prem environments, automating deployments and enhancing security posture for energy - intelligent compute applications.
Reliability Engineering Architect at Carbon60 managing a team to deliver AWS cloud solutions. Focus on mentoring engineers and integrating AI tools into automated systems.
DevOps Specialist taking over build, release, and environments for Sparrow’s product team. Leading DevOps practices while collaborating with CTO and senior developers in an agile setting.