Introduction
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 education
High School Diploma/GED

Preferred education
Bachelor’s Degree





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

Other relevant job details
Must have the ability to work in Canada without sponsorship.

This role will involve working with technology that is covered by Export Regulations sanctions. If you are a Foreign National from any of the following US sanctioned countries (Cuba, Iran, North Korea, Syria, and the Crimea, Luhansk, Donetsk, Kherson, and Zaporizhia regions of Ukraine) on a work permit, you are not eligible for employment in this position.

Equal Opportunity Statement
IBM is proud to be an equal‑chance 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, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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📌 IBM Payments Centre Platform Engineering (Jan 2026 - 8 months - Toronto) (Ontario)
🏢 Leadingtalent
📍 Ontario