Staff Software Engineer, Platform

🕒 July 9

🇨🇦 Canada – Remote

⏰ Full Time

🔴 Lead

🏗️ Platform Engineer

👻 Ghost score 62%

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CakeAI

WebsiteLinkedInAll Job Openings

1 - 10 employees

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

💰 Pre Seed Round on 2020-01

Consulting • Marketing • Artificial Intelligence

CakeAI is a company that specializes in coaching startups by providing education and insight, particularly in the fields of data analytics, architecture, artificial intelligence, and operations research. CakeAI aims to empower new businesses by harnessing the power of AI and data to optimize their operations and strategic decisions.

📋 Description

• As a Staff Software Engineer, you will play a critical leadership role in building and operating the infrastructure that powers Cake’s AI platform. • You’ll design and operate the ML platform foundations that both internal teams and customers rely on, owning systems end-to-end from architecture to production. • You’ll work closely with customers to translate real-world ML use cases into reliable, scalable platform capabilities. • Leverage infrastructure-as-code to manage complex cloud environments supporting critical ML and AI initiatives. • Design Kubernetes-native systems, including controllers/operators where appropriate. • Improve platform networking, security, and observability. • Own critical systems in production, including reliability, scalability, security, and cost efficiency. • Identify and proactively address technical debt, operational risk, and platform bottlenecks. • Quickly ramp up to a complex tech stack (Terraform, Kubernetes, Istio, Crossplane, Go, TypeScript). • Create abstractions and tooling that make it easier for teams and customers to deploy, run, and scale AI/ML workloads. • Collaborate directly with customers to understand their ML infrastructure challenges and translate them into platform improvements. • Balance speed and rigor—shipping quickly while maintaining a high bar for quality and safety. • Act as a technical leader and mentor across the engineering organization. • Write clear documentation and design proposals that align stakeholders and drive decisions. • Partner closely with product and leadership to shape platform direction and priorities.

🎯 Requirements

• 10+ years of engineering experience, with significant time spent on infrastructure, platform, or distributed systems. • Deep hands-on experience with Kubernetes in production environments. • Strong cloud experience across AWS, GCP, and/or Azure. • Proven track record of building and operating secure, scalable AI/MLOps platforms. • Deep understanding of infrastructure-as-code (e.g., Terraform, Pulumi, CDK). • Strong programming skills in at least one backend language (Go preferred; TypeScript also welcome). • Experience diagnosing and debugging complex production issues. • Familiarity with modern CI/CD, test-driven development, and DevSecOps practices. • Bonus: experience building Kubernetes operators and/or working with service meshes (e.g., Istio). • Comfortable owning large, ambiguous problems from inception to production. • Excellent communicator, able to clearly explain complex systems to both technical and non-technical audiences. • Experience working directly with customers and incorporating feedback into technical decisions. • Ability to operate autonomously while keeping stakeholders informed and aligned. • Customer-first and product-oriented. • Curious, adaptable, and eager to learn new systems and domains. • Collaborative, respectful, and willing to lean into hard conversations. • Energized by fast-paced environments and meaningful responsibility.

🏖️ Benefits

• Competitive cash compensation alongside above-market equity upside • Top-tier fully covered medical, dental, and vision insurance • Life insurance • 401k program • Unlimited PTO • Monthly half day • Citi Bike membership • Monthly wellness stipend • Office equipment stipend, including reimbursement for approved disability-related accommodations • Investment in employee learning and growth opportunities

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