Jobs in Canada

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Added 29 days ago
C
Senior Java Backend Developer (Hybrid)
Cognizant
Toronto, ON
- Full-time
As a Senior Java Backend Developer, you will make an impact by designing, developing, and supporting scalable cloud-native applications and microservices that power critical customer-facing…
Added 29 days ago
C
Senior Mobile Solutions Lead
Cognizant
Toronto, ON
- $60,000 to $95,000 CAD / year
- Full-time
Build and enhance Android applications using Kotlin, Java, and Android SDK, ensuring high performance and exceptional user experiences.
Added 29 days ago
MI
Junior Quality Engineer
Method Integration Inc.
Remote, Canada
- $50,000 to $60,000 CAD / year
- Full-time
- Remote
…outgrown spreadsheets and generic tools. With deep QuickBooks integration and a powerful no-code customization engine, Method enables users to design workflows that truly fit their unique…
Added 29 days ago
AI Platform Software Engineer
Scotiabank
Toronto, ON
Build scalable APIs, orchestration layers, SDKs, and self-service tooling that improve developer productivity and reduce friction for AI product teams.
Added 29 days ago
C
Java Technical Expert / Lead
CGI
Vancouver, BC
- Full-time
We are looking for a Java Technical Expert who will act as a trusted advisor to the client. This is not a project management or team-lead role; instead, the focus is on technical…
Added 29 days ago
P
Software Engineer, Test
Providius
Hamilton, ON
- Full-time
Write and maintain automated tests across API, integration, UI, regression, and end-to-end testing
Added 29 days ago
Technology Lead - Angular
Infosys
ON
Infosys is seeking a Frontend Developer - Angular for a critical enterprise application undergoing transition. In this role, you will interface with key business and technical stakeholders…
Added 29 days ago
Technology Lead - Angular
Infosys
ON
Infosys is seeking a Frontend Developer - Angular for a critical enterprise application undergoing transition. In this role, you will interface with key business and technical stakeholders…
Added 29 days ago
CR
Front-Office Trading Development Engineer - Java, Kafka, C#, ETL, Talend AVP - Charles River Development
Charles River Development
Toronto, ON
- Full-time
…consulting project, from installation of n-tier software and integration with third party systems to DR/HA design to documenting and performing technical training for the client. This role…
Added 29 days ago
OT
Lead Software Developer
Open Text Corporation
Richmond Hill, ON
- Other
As a Lead Software Developer on the OpenText Application Integrator product team, you will enhance product security by addressing vulnerabilities, design and maintain mission-critical…
Added 29 days ago
C
Big Data Developer
Cognizant
Toronto, ON
- $53,000 to $108,000 CAD / year
- Full-time
Based on this role's business requirements, this is a hybrid position requiring 4 days per week onsite in Toronto, Ontario
Added 29 days ago
GM
Test Engineering, Data Engineering - Systems QA
General Motors
Oshawa, ON
- Full-time
This means the successful candidate is expected to report to the office three days per week, at minimum
Added 29 days ago
GM
Test Engineering, Data Engineering - Systems QA
General Motors
Markham, ON
- Full-time
This means the successful candidate is expected to report to the office three days per week, at minimum
Added 29 days ago
GM
Test Engineering, Data Engineering - Systems QA
General Motors
Oshawa, ON · Markham, ON
- Full-time
This means the successful candidate is expected to report to the office three days per week, at minimum
Added 29 days ago
VC
Java developer
VBeyond Corporation
Calgary, AB
- Full-time
We are looking for a Java developer to join our team and help deliver key initiatives. The candidate should be a solid Java programmer, with strong design and implementation fundamentals.…
Added 29 days ago
Senior Consultant - Modernization (Defense) | Consultant senior - Modernisation (Défense), Public Sector Professional Services | Services professionnels du secteur public
Amazon
Toronto, ON · Ottawa, ON · Montreal, QC · Vancouver, BC
Added 29 days ago
GC
Embedded Software Engineer
Garmin Canada
Cochrane, AB
- Full-time
Must possess a minimum 1 year of work experience
Added 29 days ago
V
Python GenAI Developer
Virtusa
Mississauga, ON
- Full-time
Strong programming skills in Python (mandatory), PySpark or Java
Added 29 days ago
V
Python Gen AI Developer
Virtusa
Mississauga, ON
- Full-time
Strong programming skills in Python (mandatory), PySpark or Java
Added 29 days ago
Développeur Java / Java Developer
mthree Recruiting Portal
Montreal, QC
Nous recherchons une personne souhaitant intégrer une équipe dynamique en tant que Développeur Java/Scala pour l’un de nos clients. Il s’agit d’un poste de développement applicatif au sein…
Added 29 days ago
NS
Senior QA Automation Engineer - Contact Center & IVR
N2P Systems
Toronto, ON
- $110,000 to $120,000 CAD / year
- Full-time
Support maintenance releases, enhancements, regression testing, integration testing, and ongoing production support activities.
Added 29 days ago
GT
Guidewire ClaimCenter Developer
GFT Technologies
Toronto, ON
- Contract
We are seeking an experienced Guidewire ClaimCenter Integration Developer to join our client in the insurance industry.
Added 29 days ago
AI Full Stack Engineer
Scotiabank
Toronto, ON
Build scalable APIs, orchestration layers, SDKs, and self-service tooling that improve developer productivity and reduce friction for AI product teams.
Added 29 days ago
IT Manager
Jeld-Wen Inc.
Woodbridge, ON
We're looking for an experienced software developer to build and maintain the applications, integration and automation that keep our Woodbridge plant running. You'll connect plant systems…
Added 29 days ago
C
Full Stack Java Developer
Citi
Mississauga, ON
- Full-time
The Full Stack Developer is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in…

Scotiabank

AI Platform Software Engineer

Toronto, ON, M5H 1H1, Canada

Apply on jobs.scotiabank.com About employer

Applications open in a new tab.

Job details

Experience: 3+ years of professional software engineering experience building production systems, platforms, APIs, or distributed services.
Posting language: English
Posted: Oct 14, 2026

Original job description

Requisition ID: 276378

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Role:

The AI Platform Software Engieer will design, build, and operate scalable software platforms that enable teams to develop, deploy, monitor, and govern artificial intelligence and machine learning solutions in production. This role sits at the intersection of software engineering, cloud infrastructure, MLOps, and applied AI, with a focus on building reliable platform capabilities that accelerate safe and efficient AI adoption across the enterprise.

Is this role right for you? In this role you will:

Design, develop, and maintain reusable platform services for AI and machine learning workloads, including model training, evaluation, deployment, inference, monitoring, and lifecycle management.

Build scalable APIs, orchestration layers, SDKs, and self-service tooling that improve developer productivity and reduce friction for AI product teams.

Implement production-grade MLOps and LLMOps capabilities, including CI/CD pipelines, model and prompt versioning, automated testing, observability, drift detection, and rollback mechanisms.

Partner with data scientists, machine learning engineers, application teams, security, risk, and architecture stakeholders to translate AI use cases into secure, reliable platform capabilities.

Develop and operate containerized workloads using Kubernetes, Docker, cloud-native services, and infrastructure-as-code practices.

Support retrieval-augmented generation, vector search, agentic workflows, model serving, feature pipelines, and enterprise integration patterns where applicable.

Embed reliability, resiliency, scalability, cost optimization, governance, and security controls into platform design and day-to-day engineering practices.

Define and enforce engineering standards for code quality, testing, observability, documentation, operational readiness, and production support.

Evaluate emerging AI platform tools, frameworks, and cloud services, and recommend adoption patterns aligned with enterprise architecture standards.

Participate in incident response, root-cause analysis, performance tuning, and continuous improvement of platform services.

Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Machine Learning, or a related technical discipline, or equivalent practical experience.

3+ years of professional software engineering experience building production systems, platforms, APIs, or distributed services.

Strong programming skills in Python, Java, Scala, or a similar language, with a focus on clean, testable, maintainable code.

Hands-on experience with cloud platforms such as Azure, AWS, or Google Cloud, including compute, storage, networking, identity, and managed AI or data services.

Experience with containerization and orchestration technologies such as Docker and Kubernetes.

Familiarity with MLOps, CI/CD, model deployment, experimentation tracking, observability, logging, monitoring, and automated testing practices.

Working knowledge of machine learning concepts, model serving patterns, data pipelines, feature engineering, or generative AI application patterns.

Experience building modern front-end applications using frameworks such as React, Angular, or Vue, with strong understanding of component-based design, state management, and responsive user interfaces.

Ability to develop intuitive, accessible, and performant user experiences for developer portals, dashboards, workflow tools, or self-service platform interfaces.

Experience applying secure software development practices, access controls, secrets management, and production operational controls.

Strong problem-solving, communication, collaboration, and ownership skills in a cross-functional engineering environment

Nice‑to‑Have Qualifications:

Experience building internal developer platforms, AI platforms, ML platforms, or shared engineering services at enterprise scale.

Experience with MLflow, Kubeflow, Airflow, Argo Workflows, Databricks, Ray, Spark, Feature Stores, vector databases, or model registries.

Experience with LLM application development, retrieval-augmented generation, prompt orchestration, evaluation frameworks, guardrails, or agentic AI workflows.

Familiarity with infrastructure-as-code tools such as Terraform, Bicep, ARM templates, CloudFormation, or Pulumi.

Experience operating services in regulated environments with governance, auditability, data privacy, and model risk management requirements.

Certifications such as Azure AI Engineer Associate, AWS Machine Learning Specialty, Google Professional Machine Learning Engineer, or Certified Kubernetes Administrator.

What's in it for you?

Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.

Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.

Upskilling through online courses, cross-functional development opportunities, and tuition assistance.

Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.

Dynamic Ecosystem - Free tea & coffee, universal washrooms, and lots of space for team collaboration.

Community Engagement - No matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs.

Location(s): Canada : Ontario : Toronto

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

Apply on jobs.scotiabank.com About employer

More about this job

Responsibilities

The AI Platform Software Engineer will design, build, and operate scalable platforms to enable the development, deployment, and governance of AI and machine learning solutions. This role involves creating reusable services, APIs, and MLOps pipelines while collaborating with cross-functional teams to ensure secure and efficient AI adoption.

Requirements

Candidates must have a bachelor's degree in a technical discipline and at least 3 years of professional software engineering experience. Proficiency in Python, Java, or Scala, along with hands-on experience in cloud platforms, containerization, and MLOps practices, is required.

Skills

Python
Java
Scala
Kubernetes
Docker
Cloud platforms
MLOps
CI/CD
Machine learning
Software engineering
API development
React
Angular
Vue
Infrastructure-as-code
Generative AI

Benefits

Diversity, Equity, Inclusion & Allyship programs
Employee Resource Groups
Upskilling through online courses
Cross-functional development opportunities
Tuition assistance
Competitive rewards program
Bonus
Flexible vacation
Personal days
Sick days
Benefits starting on day one

Visa sponsorship

Not detected in the job text

Keywords

AI Platform
Software Engineering
MLOps
LLMOps
Kubernetes
Docker
Python
Java
Scala
Cloud Computing
CI/CD
Machine Learning
Generative AI
Retrieval-Augmented Generation
Vector Search
React
Angular
Vue
Infrastructure-as-code
Terraform
MLflow
Kubeflow
Databricks
Spark
Feature Stores
Data Pipelines
Observability
Governance
Security
Enterprise Architecture

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Work requirements

Jobs in Canada