Job Description

The Role

We'relooking for aSoftware DeveloperSpecialistto join our ML Infrastructure and Deployment team, reporting to theDirector-SoftwareDevelopment In this role,you'llhelp shape how we build tools and processes that enable our analytics teams to developcutting-edgefraud detection products - fighting financial crime at scale!

You'llfit right in ifyou'repassionate about DevOps andMLOps, 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, andmaintainscalable 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 andoptimizeconfiguration 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.

• Optimizecloud 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‑onexpertisebuilding 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.

• Proficiencydeveloping 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 Scalafor large-scale data processing workloads

• Additionalcertifications in DevOps, AWS, Terraform, or related technologies.

This position willbelocatedinSt. John's andToronto, andoffers 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.

Come as You Are

Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.