Verafin – Software Developer Specialist (Machine Learning Infrastructure and Deployment) 

The Role 

We're looking for a Software Developer Specialist to join our ML Infrastructure and Deployment team, reporting to the Director - Software Development. In this role, you'll help shape how we build tools and processes that enable our analytics teams to develop cutting-edge fraud detection products - fighting financial crime at scale! 

You'll fit right in if you're passionate about DevOps and MLOps, love solving complex infrastructure challenges, and get energy from working with cross-functional teams to deliver solutions that make a real impact in financial crime prevention! 

What You'll Do 

• Design, implement, and maintain scalable cloud pipelines using AWS, Jenkins, and Terraform to support machine learning development, testing, and deployment. 

• Partner closely with analytics teams as a subject matter expert to enable the development, deployment, and operation of machine learning products. 

• Lead incident response and root-cause analysis efforts, implementing solutions that reduce downtime and prevent recurring issues. 

• Build and optimize configuration management, automation frameworks, and deployment processes to ensure consistency, reliability, and maintainability. 

• Ensure strong data governance, security compliance, and access control across all data and ML environments. 

• Optimize cloud infrastructure for performance and cost efficiency, with a focus on long-term scalability and operational excellence. 

• Lead projects and independently own technical decisions for ML infrastructure components, while mentoring junior engineers through code reviews, design discussions, and best practices. 

What You'll Bring 

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. 

• 5+ years of experience in Cloud Development, DevOps, or related roles, with deep hands‑on expertise building and operating production AWS infrastructure using Terraform. 

• Strong knowledge of AWS services used in ML and data platforms (e.g., VPC, Lambda, Step Functions, DynamoDB, EMR, RDS, Redshift, ElastiCache, SageMaker), including complex multi‑account architectures with networking, security, and access controls. 

• Proficiency developing and supporting Java‑ and Python‑based microservices, with a solid understanding of SQL, databases, CI/CD pipelines (GitHub, Jenkins), and operational best practices. 

• Excellent communication and problem‑solving skills, with experience in monitoring, alerting, and incident response, and the ability to work independently while clearly explaining technical trade‑offs to both technical and non‑technical stakeholders. 

Nice to Have 

• Experience with SageMaker tool suite (Unified Studio, Pipelines, Model Registry, Endpoints). 

• AWS EMR development experience with Java or Scala for large-scale data processing workloads. 

• Additional certifications in DevOps, AWS, Terraform, or related technologies. 

 
This position will be located in St. John's and Toronto, and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates. 

This posting is for an existing vacancy within Nasdaq.