Staff Platform Engineer Location: This position can be located in the following area(s): remote in Canada This is a 4 month contract assignment with potential to extend Robots & Pencils is an applied AI engineering firm building the next frontier of business architecture. We design and ship AI co-workers that integrate into enterprise operations and deliver measurable results for our clients. We're all in on AWS, combining deep UX capability with senior engineering talent to get AI into production fast and keep it there.

We’ve earned the trust of leaders across Consumer Products and Retail, Education, Energy, Financial Services, Healthcare, and Manufacturing and more, and earned a reputation as the nimble alternative to traditional global systems integrators. Founded in 2009, with delivery centers in Canada, the United States, Eastern Europe, and Latin America, we are smaller, faster, and more senior by design. We move fast, sweat the details, and build things that actually ship.

We’re looking for a Staff Platform Engineer to define and lead platform engineering strategy across complex, multi-environment cloud systems. This role is ideal for an experienced engineer who can own infrastructure architecture end-to‑end, drive DevSecOps and compliance practices, and serve as a technical leader on the engagements they support. In this role, you will work as a key technical contributor on a cross‑functional team, defining standards and owning platform reliability, performance, and security at scale.

At Robots & Pencils, we design AI systems for a human world. Robots and pencils means engineering paired with creativity, because every agent we ship has to work for real people in real workflows. Here,



you shape how AI systems integrate into enterprise operations, how teams move at real velocity, and how products create measurable impact for clients and the people they serve.

We ship production‑ready AI in 30 to 45 days.

Define

DevOps strategy and lead infrastructure architecture across multi‑setting, multi‑region cloud systems Lead DevSecOps implementation including secrets management, compliance, auditing, IAM, and zero‑trust networking Drive platform reliability, performance SLAs, and cost optimization across production systems Lead the design and operation of AI/ML platform infrastructure, including model serving and deployment, GPU workload orchestration, LLM gateway and observability, vector store infrastructure, and CI/CD for AI/ML systems Bring an AI‑forward mindset to your daily work, using tools like Claude, Cursor, and other modern AI assistants to ship higher‑quality work at pace Partner with engineering, product, and leadership to align platform strategy with business and delivery goals Communicate complex infrastructure decisions and tradeoffs clearly to technical and non‑technical stakeholdersLead design reviews, architecture discussions, and release readiness assessments Establish platform engineering standards and best practices on the engagements you support Mentor junior and mid‑level engineers,



helping them grow their craft, confidence, and impact Act as a technical escalation point on complex infrastructure and platform challenges Evaluate emerging tools and technologies, recommending patterns that improve platform reliability and developer experience 7+ years of professional DevOps or platform engineering experience, with experience leading complex platform initiatives ~ Expert scripting and programming skills (e.g., Python, Go, Java, Bash) ~ Experience with networking, IAM, security architecture, and zero‑trust principles in cloud environments ~ Strong experience with AI/ML platform infrastructure, including model serving and deployment, GPU workload orchestration, LLM gateway and observability, vector store infrastructure, and CI/CD for AI/ML systems ~ Demonstrated leadership and technical mentoring experience across a team or organization ~ Strong stakeholder communication skills, with the ability to translate technical depth across audiences ~ Demonstrable, day‑to‑day usage and expert knowledge of AI‑forward tools such as Claude and Cursor ~ Excellent problem‑solving skills and the ability to navigate highly ambiguous technical and business challenges with sound judgment ~ AWS DevOps Engineer Professional, CKA, Azure DevOps Engineer) or FinOps experience is a plus Designing and provision HPC cluster infrastructure using CI/CD pipeline across AWS, CoreWeave, GCP, and OCI The AI landscape changes weekly. You're senior enough to know better and curious enough to keep learning anyway. You ship exceptional, not perfect, and you don't put your name on work you wouldn't stand behind.

📌 Education Engineer (Platform Engineering) (Calgary)
🏢 Doist
📍 Calgary