Senior Developer, Platform

AppDirect; Montreal (administrative region); On-site; CAD 100,000 - 130,000; Full time

Job summary

A subscription commerce platform is seeking a Senior Platform Engineer to lead the development of AI infrastructure. You will design and implement scalable systems that empower engineering teams, integrate advanced AI services, and maintain rigorous security standards. The ideal candidate has extensive experience in platform engineering, a strong command of Go and TypeScript, and a solid background in AWS and Kubernetes. This position offers the opportunity to significantly shape the future of technology at the company.

Benefits

Diversity and inclusion initiatives

Opportunities for professional growth

Qualifications

• 5+ years of experience in Platform Engineering or similar roles.
• Proficient as a software engineer, especially in Go and TypeScript.
• Experience managing production services in Kubernetes.

Responsibilities

• Lead the AI Tooling Platform Vision and architecture.
• Drive systems integration and prototyping of new technologies.
• Champion best practices in SRE and Security.

Skills

Platform Engineering

Site Reliability Engineering

API Design

Go

TypeScript

AWS

Kubernetes

Tools

AWS CDK

Terraform

Job description

Become a digital, global citizen and enable the new generation of digital entrepreneurs around the world. AppDirect offers a subscription commerce platform to sell any product, through any channel, on any device – as a service. We power millions of subscriptions worldwide for organizations. We do this by our values-driven culture – one that enables you to Be Seen, Be Yourself, and Do Your Best Work.

This is a rare opportunity to be a foundational member of the team building our AI future. As a Senior Platform Engineer focused on AI Infrastructure, you will be the critical link between our ambitious AI strategy and the robust, scalable platform required to make it a reality. You will work at the intersection of cloud infrastructure, AI Operations (AIOps), and developer tooling, acting as a key systems integrator. You'll be researching, prototyping, and weaving together new technologies to build the engine that will power the next generation of our AI-enabled products. This is not a maintenance role; this is a greenfield opportunity to design, build, and integrate the mission-critical systems that will define our success for years to come.

What you'll do and how you'll have an impact

• Lead the AI Tooling Platform Vision: Spearhead the design and implementation of the core infrastructure and integrations that enable the secure and scalable use of AI services like AWS Bedrock and developer tools like GitHub Copilot across the organization.
• Architect for Scale and Reliability: Design and build resilient, scalable, and cost-effective infrastructure patterns, to support new generative AI and serverless workloads, while maintaining our existing legacy services on Kubernetes.
• Drive Systems Integration & Prototyping: Act as the team's "polyglot" engineer, evaluating, prototyping, and integrating new and emerging technologies (e.g., new AI services, security tools, or developer platforms) to create a seamless, unified platform experience.
• Enable AI Adoption: Partner closely with engineering teams to create the platforms and "golden paths" that allow them to securely and efficiently leverage generative AI services by integrating them directly into their products and workflows.
• Elevate Developer Experience: Champion and enhance our Internal Developer Platform (IDP), creating self-service tools, "golden paths," and sophisticated automation in Go and TypeScript that connect our various systems to empower our engineering teams to ship features faster and more safely.
• Drive Technical Excellence: Provide technical leadership and mentorship within a lean, high-performing platform team. Drive architectural decisions, lead complex technical discussions, and foster a culture of engineering excellence and continuous improvement.
• Champion SRE and Security Best Practices: Proactively implement and manage security measures (including AI data governance and access controls) and Site Reliability Engineering (SRE) principles across our cloud environment to improve system reliability, performance, and observability for our AI platform.
• Own Critical Systems: Participate in an on-call rotation and lead incident response for our core platform, using each opportunity to learn and build more resilient systems.

What we’re looking for

• 5+ years of experience in Platform Engineering, Site Reliability Engineering (SRE), or a similar role, with a proven track record of designing, building, and operating business-critical, distributed systems at scale.
• Proficiency as a software engineer with strong experience in Go and/or TypeScript, with a belief in writing code to solve infrastructure and automation challenges.
• Strong Integration & API Skills: Proven ability to architect and build connections between disparate systems, with strong knowledge of API design (REST, gRPC), webhooks, and event-driven architectures.
• Demonstrated experience with Infrastructure as Code (IaC) tools, with a strong preference for AWS CDK or Terraform.
• A history of technical leadership, including mentoring other engineers, driving architectural decisions, and leading complex projects from inception to completion.
• Deep expertise in AWS, including hands-on experience with multi-account architecture, governance, networking (VPC), and a wide range of services.
• Experience managing and maintaining production services in Kubernetes (EKS), with a focus on reliability and security for legacy workloads.
• Excellent communication and collaboration skills, with a talent for explaining how complex systems fit together.

You will stand out

• A "Polyglot" and Rapid Learner Mindset: You are naturally curious, can pick up new programming languages, frameworks, or technologies quickly, and have a passion for finding and integrating the right tool for the job.
• Professional experience building secure, scalable infrastructure to support generative AI services and tooling (e.g., integrating AWS Bedrock, GitHub Copilot, or third-party AI APIs).
• Experience with the MLOps/AIOps lifecycle, including tooling for CI/CD for models, data-pipelining, or AI observability, even if you were in a purely platform-focused role.
• Led initiatives to build or significantly enhance an Internal Developer Platform (IDP), especially using tools like Backstage.io.
• Experience implementing observability strategies for large-scale distributed systems, especially by federating data from multiple tools.
• A strong background in cloud security architecture and software security practices.
• Proven experience with cloud cost management and FinOps.
• Expertise in administering and optimizing databases such as PostgreSQL and DynamoDB.
• An AWS certification in a relevant area (e.g., Solutions Architect Professional, DevOps Engineer Professional, Security Specialty).

At AppDirect, we believe that innovation thrives in an environment that houses diversity of excellence, experience and thought. We respect each AppDirector as their own fingerprint; unique with no one alike. We foster an environment of inclusion without regard to race, religion, age, sexual orientation, or gender identity enabling AppDirectors to embrace their uniqueness to do their best work. As such, we strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and or people with intersectional identities.

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