Senior Software Developer, Analytics (AI)

TL;DR

Senior Software Developer, Analytics (AI): Architecting and evolving large-scale distributed data systems for the AI-powered hirify.global Cloud Analytics platform with an accent on reliability, scalability, and efficiency. Focus on designing microservices, building robust data pipelines, and implementing infrastructure-as-code for global SaaS deployments.

Location: Must be based in Ontario or British Columbia, Canada

Salary: $132,400.00–$171,400.00 CAD

Company

hirify.global empowers over 8,000 organizations worldwide with an AI-powered Experience Orchestration platform to improve customer and employee experiences.

What you will do

• Design and implement highly available, fault-tolerant services that enhance the hirify.global Cloud Analytics platform.
• Build and maintain large-scale batch and streaming data pipelines using AWS EMR and Apache Airflow.
• Engineer scalable architecture across the full data lifecycle, including ingestion, storage, search, and aggregation.
• Develop reusable abstractions and self-service tooling for engineering teams.
• Deploy, automate, and maintain global AWS infrastructure using infrastructure-as-code and CI/CD.
• Troubleshoot complex distributed system issues in production and implement durable, performance-oriented solutions.

Requirements

• Strong experience designing and building distributed systems from the ground up.
• Proficiency in Java, Python, or similar programming languages for production-grade software development.
• Experience architecting and operating web-scale data systems within AWS or comparable cloud environments.
• Deep knowledge of Apache Spark, Hadoop, and Airflow to build and manage reliable data pipelines.
• Ability to design scalable and resilient microservices and event-driven systems.
• Proficiency in infrastructure-as-code and automation practices for repeatable, global SaaS deployments.

Nice to have

• Experience building and optimizing analytical storage and query systems (e.g., Hive, Presto, Druid, DynamoDB, Elasticsearch, Amazon S3).
• Familiarity with immutable infrastructure tools such as Packer and Ansible.
• Ability to enable advanced analytics or AI-driven use cases within cloud-native architectures.

Culture & Benefits

• Comprehensive extended group health coverage.
• Generous paid time off, including vacation and personal leave.
• Retirement savings program with employer RRSP matching.
• Family-friendly benefits, including parental leave top-up and adoption assistance.
• Growth and development opportunities through access to learning resources and internal mobility programs.