Software Developer Specialist (Ai Engineering)

TL;DR

Software Developer Specialist (AI Engineering): Designing, implementing, and maintaining scalable cloud pipelines using AWS, Jenkins, and Terraform to support machine learning development, testing, and deployment with an accent on DevOps and MLOps. Focus on optimizing cloud infrastructure for performance and cost efficiency, with a focus on long-term scalability and operational excellence.

Location: Hybrid in St. John's or Toronto, Canada, with at least 3 days a week in-office.

Company

hirify.global is an equal opportunity employer that provides financial services, technology, and information.

What you will 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.

Requirements

• 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.

Culture & Benefits

• Equal opportunity employer.
• 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.