IBM Payments Centre Platform Engineering (Jan 2026 - 8 months - Toronto)

IBM Computing; Toronto; On-site; CAD 100,000 - 125,000; Full time

Job summary

A leading technology company in Toronto is offering a Payments Platform Internship that will allow you to work hands-on with cloud technologies and AI applications. The ideal candidate should be enrolled in full-time studies, focusing on implementing DevSecOps and cloud-native practices on payment systems. This role requires expertise in tools like AWS, Azure, and Docker, aiming to enhance your skills in secure architecture while engaging in meaningful projects.

Qualifications

• Experience with AWS, Azure, and GCP cloud technologies.
• Familiarity with DevSecOps practices and automation.
• Understanding of containerization and orchestration tools.

Responsibilities

• Contribute to payment microservices design across multiple clouds.
• Support CI/CD pipelines with automated testing and security checks.
• Build observability dashboards for transaction insights.

Skills

Multi-Cloud Foundations

DevSecOps Practices

Containerization & Orchestration

Programming & Data

AI & GenAI Platforms

Applied AI Skills

Data Pipelines & Dashboards

Compliance Familiarity

Monitoring & Observability

Education

Enrolled in full-time studies at a post-secondary institution

Tools

AWS

Azure

GCP

Docker

Kubernetes

OpenShift

Python

SQL

Power BI

Splunk

Prometheus

Grafana

Job description

Overview

Motivated Payments Platform Intern with hands-on experience in cloud technologies, AI/GenAI applications, and payment system simulations. Skilled in applying DevSecOps, cloud-native practices, and GenAI-powered anomaly detection to strengthen financial platforms. Familiar with leading AI platforms such as OpenAI, Hugging Face, LangChain, and Vertex AI, and eager to contribute to enterprise-scale payment systems while enhancing expertise in building secure, resilient, and compliant architectures.

Your role and responsibilities

• Contribute to the design and prototyping of payment microservices across AWS, Azure, and GCP.
• Support secure CI/CD pipelines with automated testing, vulnerability scans, and code quality checks.
• Assist in the deployment of containerized workloads (Docker, Kubernetes, OpenShift) for payment APIs.
• Build and validate observability dashboards with Splunk, Prometheus, and Grafana for transaction insights.
• Collaborate with engineering teams to experiment with AI/GenAI models (fraud detection, compliance validation) using OpenAI, Hugging Face, and LangChain frameworks.
• Research compliance standards (PCI DSS, GDPR, ISO/IEC) and apply them in sandbox payment environments.
• Develop documentation, runbooks, and knowledge artifacts to support ongoing engineering work.

This position is open to applicants who reside in Toronto and is open to applicants seeking an 8-month internship work term, commencing in Jan 2026. It is mandatory that all applicants are enrolled in full-time studies at a post-secondary institution and returning to full-time studies upon completion of their work term.

Required technical and professional expertise

• Multi-Cloud Foundations: AWS (EC2, S3, IAM), Azure App Services, GCP BigQuery
• DevSecOps Practices: GitHub Actions, Jenkins pipelines, automated deployment scripts, IaC
• Containerization & Orchestration: Docker, Kubernetes, OpenShift
• Programming & Data: Python, SQL
• AI & GenAI Platforms: OpenAI, Hugging Face, LangChain, Azure OpenAI, Google Vertex AI
• Applied AI Skills: Prompt engineering, LLM-powered anomaly detection, vector database search (FAISS, Pinecone)
• Data Pipelines & Dashboards: SQL insights, Power BI, Looker Studio, GenAI-augmented visualization
• Compliance Familiarity: PCI DSS encryption flows, GDPR data retention, ISO/IEC security practices
• Monitoring & Observability: Splunk, Prometheus, Grafana, Dynatrace, SIEM

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.