Senior Software Developer (Machine Learning Infrastructure and Deployment)

TL;DR

Senior Software Developer (Machine Learning Infrastructure and Deployment): Designing, implementing, and maintaining cloud pipelines for machine learning development and deployment with an accent on MLOps, automation, and security compliance. Focus on solving complex infrastructure challenges, supporting analytics teams, and ensuring system reliability for financial crime prevention products.

Location: Hybrid work environment in St. John's, Newfoundland & Labrador, Canada or Toronto, Ontario, Canada (at least 3 days a week in-office).

Company

hirify.global, a Nasdaq company, is a product company focused on fighting financial crime through cutting-edge fraud detection products.

What you will do

• Design, implement, and maintain cloud pipelines using AWS, Jenkins, and Terraform for machine learning development, testing, and deployment.
• Partner with analytics teams as a subject matter expert to support the development and deployment of machine learning products.
• Lead incident response and root cause analysis, developing solutions that prevent future issues and reduce downtime.
• Build and optimize configuration management and automation frameworks for consistent, reliable deployments.
• Ensure data governance, security compliance, and access control across all data environments.

Requirements

• Bachelor's degree in Computer Science, Engineering, or equivalent experience.
• 3+ years of experience in Cloud Development, DevOps, or related roles with a strong focus on AWS (including SageMaker, VPC, Step Functions, DynamoDB, Lambda, EMR, Redshift, ElastiCache, RDS, and cross-account networking and communication).
• Hands-on expertise with AWS and Terraform for infrastructure management.
• Proficiency in developing Java and Python backend microservices, with a solid understanding of SQL and database concepts.
• Experience with monitoring and alerting tools to supervise system performance and health.
• Excellent communication skills for working across technical and non-technical teams.

Nice to have

• Experience with SageMaker tool suite (Unified Studio, Pipelines, Model Registry, Endpoints).
• Proficiency with CI/CD tools like GitHub and Jenkins.
• AWS EMR development experience with Java or Scala.
• Additional certifications in DevOps, AWS, Terraform, or related technologies.

Culture & Benefits

• Offers a competitive, well-rounded rewards package that supports employees and their families.
• Provides a hybrid work environment with flexibility.
• Nasdaq is an equal opportunity employer that encourages applications from suitably qualified and eligible candidates regardless of protected status.
• Ensures reasonable accommodation for individuals with disabilities to participate in the job application or interview process.