Engineering Manager, DevOps

Canada

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Customer Service, SoftwareIndustries

Requirements

Candidates should have a strong DevOps and platform mindset, balancing delivery speed with long-term system maintainability. They should thrive on enabling engineers through automation, CI/CD pipelines, observability, and developer tooling. A coaching and growth mindset is essential, along with adeptness at fostering collaboration across internal teams to meet reliability, security, and scalability needs. Strong communication skills to align technical and non-technical stakeholders are also required, as is a deep customer obsession focused on platform resilience, security, and performance.

Responsibilities

The Engineering Manager will lead a team of 6-8 DevOps engineers who build and operate the foundation for Ada's platform, ensuring reliability, security, and scalability. They will enable product engineers to move quickly by providing infrastructure, observability, automation, and developer productivity tooling. Responsibilities include collaborating with product, design, and engineering teams to deliver reliable systems and developer platforms, fostering a high-performing engineering culture, managing and supporting the DevOps team through regular 1:1s, acting as a coach and sponsor, fostering team culture and growth, and collaborating with leadership to define infrastructure and reliability roadmaps.

Skills

DevOps

LLMs

Customer Service

Automation

Cloud Computing

Infrastructure Management

CI/CD

Monitoring

Security

Ada

Automates customer service with AI chatbots

About Ada

Ada provides automated customer experience solutions through AI-powered chatbots that help businesses streamline customer service tasks. The platform operates on a subscription model, allowing companies to automate repetitive tasks and improve customer satisfaction while reducing costs. Ada differentiates itself by offering a comprehensive suite of services, including consulting and managed services, backed by strong venture capital support. The company's goal is to transform customer service management by enhancing efficiency and engagement through automation.

Toronto, CanadaHeadquarters

2016Year Founded

$185.3MTotal Funding

SERIES_CCompany Stage

Enterprise Software, AI & Machine LearningIndustries

201-500Employees