Platform Engineer, E-Commerce, Search and AI

Job Title: Platform Engineer, E-Commerce, Search and AI

Location: Toronto, ON (Hybrid)

Estimated Duration: Full Time/Permanent

Overview

We're looking for an experienced and visionary Platform Engineer to lead the technical design and oversight of our core e-commerce search engine and AI application development initiatives. The ideal candidate will be a hands-on leader, shaping our technical roadmap, ensuring system scalability, performance, and reliability, and driving innovation in how customers discover products and interact with our intelligent systems. This role demands a deep understanding of complex search technologies, machine learning workflows, and high-volume, low-latency e-commerce platforms.

Responsibilities

Technical Strategy & Architecture

• Define the designs and technical standards for the e-commerce search platform (e.g., expertise in Google Vertex Ai search for commerce, and search capability like Bloomreach, Elastic Search or Solar would be valuable) and the associated AI/ML microservices (e.g., personalization, recommendation, natural language processing).
• Develop a strategic roadmap for the evolution of the application portfolio, focusing on scalability, resilience, and cloud-native patterns (e.g., microservices, serverless). Evaluate and recommend new technologies, frameworks, and tools to improve developer efficiency, system performance, and business outcomes.
• Ensure the designs align with security best practices, data privacy regulations, and governance policies.

Technical Leadership & Governance

• Provide technical guidance and mentorship to development and data science teams, ensuring adherence to the defined architecture and coding standards.
• Conduct regular technical design reviews, design sessions, and code audits to ensure the delivery of high-quality, maintainable software.
• Collaborate with Architects, Product Managers, Engineering Leads, and stakeholders to translate business requirements into robust, scalable technical solutions.
• Oversee performance testing and optimization efforts, particularly for search query response times and AI model inference latency.

E-commerce Search & AI Focus

• Design solutions to enhance search relevance, ranking algorithms, and user experience features (e.g., facets, filtering, autocomplete).
• Design and implement MLOps pipelines for the deployment, monitoring, and retraining of AI models, ensuring fast and reliable deployment cycles.
• Drive the integration of AI-powered features into the core e-commerce platform, focusing on measurable impact on conversion and revenue.

Qualifications

Required Experience

• 7+ years in software development with 3+ years in a Platform Engineering, Architecture, or equivalent leadership role.
• Proven experience designing and scaling high-traffic, low-latency e-commerce or equivalent transactional systems.
• Expert-level knowledge of distributed search engines (e.g., Elasticsearch, Solr) including indexing strategies, query optimization, and cluster management.
• Demonstrated experience with AI/ML application development and MLOps principles, including experience with major cloud AI services (e.g., AWS SageMaker, Google AI Platform, Azure ML).
• Deep expertise in cloud architecture on one or more major providers (Azure, GCP), utilizing services like containers (Kubernetes/Docker), serverless functions, and data stores.

Technical Skills

• Proficiency in at least one modern programming language relevant to e-commerce and AI (e.g., Python, Java, Go).
• Strong understanding of data modeling, database technologies (SQL and NoSQL), and data warehousing concepts.
• Familiarity with CI/CD pipelines, automated testing, and infrastructure-as-code (e.g., Terraform, CloudFormation).
• Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to a non-technical audience.

Preferred Qualifications

• Master's degree in Computer Science, Engineering, or a related field.
• Experience in Natural Language Processing (NLP) or Recommendation Systems specifically within an e-commerce context.
• Certifications in cloud architecture (e.g., AWS Certified Solutions Architect – Professional).

The pay range that the employer reasonably expects to pay for this position is between CA$81,000 and CA$131,000

Our voluntary benefits offering includes medical, dental, vision and retirement benefits.

This posting is for an existing vacancy.

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Tundra Technical Solutions is a global workforce and technology delivery firm, ranked by Staffing Industry Analysts as one of the largest in North America. At Tundra, we aren't just hiring top talent at the world's most recognizable brands; we are pioneers of social recruitment. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other legally protected characteristics. We welcome and encourage diversity in the workplace.

We use artificial intelligence tools to help our recruiters screen and assess talent. These tools do not replace human decision making in the process.

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