Senior DevOps Engineer
Location: Ontario, Canada
Experience: 10+ years preferred
About BrainyYack
Founded in 2006, BrainyYack is a technology, AI, and digital product consultancy headquartered in Toronto. For nearly two decades, we have partnered with growth-focused and enterprise organizations to design and deliver the software, AI systems, and digital experiences that move their businesses forward.
Our work spans custom software engineering, intelligent AI agents and automation, scalable platforms, and enterprise digital transformation. We specialize in turning fragmented, underused data into structured, intelligent systems, enabling clients to operate with greater speed, efficiency, and measurable return, without disrupting what already works. Across financial services, retail, healthcare, education, manufacturing and more. Organizations trust us to bring complex, high-stakes ideas to life.
At our core, we are a firm where engineering excellence, creativity, and genuine business impact meet and where the people who build with us do work that reaches real users and real outcomes.
The people who thrive here
We look for professionals who take ownership of their work, hold a high bar for quality, and care about the outcome a client is trying to achieve not just the task in front of them. Our strongest people are clear communicators who work well directly with clients, perform across multiple projects, and bring both craft and judgment to everything they build.
About the Role
We’re looking for a Senior DevOps Engineer to take ownership of how our work ships, scales, and stays running.
This is a hands-on, high-ownership role spanning multiple client projects and technology environments. You’ll be responsible for the delivery pipelines, cloud infrastructure, reliability, observability, and security that support our enterprise software and digital solutions.
You’ll help transform fragile or manual infrastructure into automated, secure, observable, and scalable platforms. Because we increasingly work with AI-powered applications and solutions, you’ll also help design and operate infrastructure supporting modern AI workloads.
We’re looking for someone genuinely senior—an engineer who has built and operated production platforms end to end, owned reliability, responded to real production incidents, and can make sound infrastructure decisions independently.
Just as importantly, you communicate clearly, collaborate effectively with developers and technical teams, and are comfortable working directly with clients when needed.
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