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Added 5 days ago
Java Tech Lead
Tata Consultancy Services
Mississauga, ON
$100,000 to $120,000 CAD / year
Full-time
Lead end-to-end application design and development using Java Full Stack technologies.
Added 5 days ago
Senior Full Stack Developer
Bevertec
Toronto, ON
Contract
We are looking for an experienced Full-Stack Java Developer to join a project focused on delivering modern, scalable solutions.
Added 5 days ago
Développeur Backend
TEKsystems
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$75 to $90 CAD / hour
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Concevoir, développer et maintenir des services backend et des API de calibre entreprise à l’aide de Java.
Added 4 days ago
Java Developer (Spanish)
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Toronto, ON · Greater Toronto Area, Canada
$100,000 to $120,000 CAD / year
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Strong expertise in Java, Spring Boot, and Microservices.
Added 5 days ago
Workday Integration Lead
KPMG
Calgary, AB · Burnaby, BC · Vancouver, BC · Ottawa, ON · Saskatoon, SK · ON · Toronto, Ontario
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Knowledge and experience about Web Services, REST API, XML, XSLT, SOAP, WSDL, JSON, Java, .Net or other integration technologies
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Senior Software Development Engineer (SDE3) – Customer Data Platform
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Director, Data Platform Engineering
TD
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Dotnet Developer
Lorven Technologies Inc.
Mississauga, ON
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Leverage AI developer tools (e.g., GitHub Copilot, Claude, Cursor) effectively to accelerate development and improve engineering output.
Added 5 days ago
Senior Penetration Tester & Red Team Engineer
Cognizant
Toronto, ON
Full-time
· Strong programming and scripting expertise in languages such as Python, Go, Java, C#, PowerShell, or similar technologies.
Added 5 days ago
AI Engineer Intern (Winter 2027)
Ciena
Ottawa, ON
Full-time
Design, build, and improve AI agents that enable engineering workflows, knowledge discovery, and developer productivity.
Added 5 days ago
RQ11377 - Software Developer - Full Stack - Senior
Maarut
Toronto, ON
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A senior full-stack software developer who will be
Added 5 days ago
Workday Integration Lead
KPMG Canada
Toronto, ON
Full-time
Knowledge and experience about Web Services, REST API, XML, XSLT, SOAP, WSDL, JSON, Java, .Net or other integration technologies
Added 5 days ago
Workday Integration Lead
KPMG Canada
Saskatoon, SK
Full-time
Knowledge and experience about Web Services, REST API, XML, XSLT, SOAP, WSDL, JSON, Java, .Net or other integration technologies
Added 5 days ago
Workday Integration Lead
KPMG Canada
Calgary, AB
Full-time
Knowledge and experience about Web Services, REST API, XML, XSLT, SOAP, WSDL, JSON, Java, .Net or other integration technologies
Added 5 days ago
Senior Full Stack Developer
Syntronic
Ottawa, ON
Full-time
Syntronic Ottawa Software Design Studio is looking for an experienced Senior Full Stack Developer who can design, build, and deliver modern software solutions across varied customer…
Added 5 days ago
Programmer Systems Analyst II
University of British Columbia
Vancouver, BC
$8,554.25 to $13,340.92 CAD / month
Full-time
Added 5 days ago
Workday Integration Lead
KPMG Canada
Ottawa, ON
Full-time
Knowledge and experience about Web Services, REST API, XML, XSLT, SOAP, WSDL, JSON, Java, .Net or other integration technologies
Added 5 days ago
Workday Integration Lead
KPMG Canada
Vancouver, BC
Full-time
Knowledge and experience about Web Services, REST API, XML, XSLT, SOAP, WSDL, JSON, Java, .Net or other integration technologies
Added 5 days ago
Workday Integration Lead
KPMG Canada
Burnaby, BC
Full-time
Knowledge and experience about Web Services, REST API, XML, XSLT, SOAP, WSDL, JSON, Java, .Net or other integration technologies
Added 5 days ago
Programmer Systems Analyst II
The University of British Columbia
Vancouver, BC
$8,554.25 to $13,340.92 CAD / month
Full-time
Added 5 days ago
Développeur.euse Java Full Stack / Java Full Stack Developer x2 (Signature)
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Full-time
Portage CyberTech is looking for a passionate Java Full Stack Developer, R&D-oriented, working on modern solutions in a microservices environment. The role involves backend and full stack…
Added 5 days ago
Senior Full Stack Java Developer – Azure & ESRI/ArcGIS
ThoughtStorm
Toronto, ON
Contract
Seeking a Senior Full Stack Java Developer with 5+ years of experience designing, developing, testing and delivering enterprise applications.
Added 5 days ago
Intermediate Java Developer
CIBC
Toronto, ON
Full-time
You can demonstrate experience in: Java/J2EE, Spring/Springboot, Web Services (SOAP, JSON and RESTFul). Proven and solid hands-on experiences in Microservices and API development in an…
Added 5 days ago
AI Security Engineer
Celestica International LP
Toronto, ON
Demonstrated development experience including Coding or Scripting experience (ie. Python, Powershell, Java, .NET)
Added 5 days ago
Software Engineer - Consultant
EY
Toronto, ON
…Engineering, with a particular focus on their relevance to Full stack, Java, Microservices, DevOps functions, .Net, C# Python, SQL (MySQL), JavaScript, Spring boot, API Integration…

Celestica International LP

AI Security Engineer

Toronto, ON, Canada

Pay: Salary range $132,687 – $182,687 CAD
Experience: 10+ years previous experience in a similar role/industry.
Posting language: English
Posted: Sep 15, 2026

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Original job description

Req ID: 135257 Remote Position: Hybrid Region: Americas Country: Canada State/Province: Ontario City: Toronto

Summary

This role primarily focuses on the design, review of AI Security architecture and as well as the deployment and management of AI Solutions at Celestica. It includes (but not limited to) the secure deployment of AI products/services, administration and governance of Ai Models (Anthropic, OpenAI, Google Gemini, etc.), deployment and management of Ai Agents and Infrastructure supporting Ai use cases. This role will also provide governance and oversight into the consumption of Ai, providing input into aspects such as the creation of usage policies, forecasting and optimizing token consumption, model selection while maintaining stringent security controls.

This role reports into the Corporate IT Security leadership and will work within the IT function and the business to ensure that we meet and exceed the security requirements from Celestica customers. This role will also have to coordinate with external vendors and internal IT teams to ensure that the cybersecurity requirements are met and exceeded.

Detailed Description

Performs tasks such as, but not limited to, the following:

Architects, designs, and secures Ai Solutions in multi-cloud environments, specifically focusing on Google Cloud Platform (GCP), Microsoft Azure, and AWS to enable secure deployment of enterprise AI solutions.
Setup, maintenance and ongoing governance of various subscriptions to Ai Vendors such as Anthropic and OpenAI, (including AI Fin Ops)
Architects, builds, and enforces security guardrails for AI Agents, establishing robust governance frameworks to monitor and control agentic behaviors.
Participates in the security review of new applications with Ai Features.
Leads the product selection or review for new cloud and AI security technologies, conducting Proof of Concepts (POCs) and technical evaluations
Establishes and maintains effective relationships with process owners/sites to proactively assess business risks and develop risk mitigation.
Design and Participation in the continued management and maintenance of AI security policies, Standards, guardrails and roadmaps.
consumption of internal teams, namely Vertex Ai and Azure AI Foundry.
Design AI Guardrails and rules to Secure AI Agents and data.
Establishes and maintains effective relationships with process owners to proactively assess AI-related business risks, threats, and mitigation strategies.
Designs and implements security controls for SaaS and PaaS AI integrations to ensure continuous data protection, DLP, and regulatory compliance.
Communicates governance and compliance objectives, fostering a compliant and risk-aware security culture across internal engineering and product teams.

Knowledge/Skills/Competencies

Operational knowledge and experience deploying and running solutions in cloud (Microsoft Azure, Google Cloud Platform and AWS). Includes knowledge of Cloud and Ai Fin Ops
Network
Demonstrated development experience including Coding or Scripting experience (ie. Python, Powershell, Java, .NET)
Knowledge and proficiency Managing and Supporting solutions on Windows and Linux.
Experience supporting IT Infrastructure such as Virtual Machines, Networking, DNS
Knowledge and Experience in the deployment and management of Docker and Kubernetes images (including their hosting infrastructure)
Knowledge and Experience in ML Pipeline Architecture. Concepts of Data Ingestion, Authentication and Data security, Model Registries, Serving and Hosting infrastructure including knowledge of how Models are trained
Strong expertise in administering, configuring, and monitoring enterprise AI models including Claude, ChatGpt, and Google Gemini. Experience building governance frameworks for AI Agents, managing agentic permissions, tool execution, and runtime security controls.
Must have strong knowledge of identity and Access Management, API Connectivity, Model Context Protocol (MCP), Data Security and API security
Familiarity with Security Concepts such as:
- - Adversarial examples and evasion attacks
  - Data poisoning and training-time attacks
  - Model extraction/stealing and inversion attacks
  - Membership inference attacks
  - Prompt injection (direct and indirect) and jailbreaking
  - Supply chain risks in pre-trained models, datasets, and third-party fine-tunes
  - Backdoors/trojans embedded in models
Familiarity with Data Concepts such as (But Not limited to):
- Data lineage and provenance tracking
- Access controls over training data and embeddings
- Deep understanding of AI vulnerabilities and experience in securing LLM’s within the Cloud environments.
Knowledge and experience in IT Security Best Practices, IT Governance and Audit Procedures. Knowledge of common information security frameworks and IT controls frameworks, such as ISO/IEC 27001, ITIL, COBIT/COSO and ones from NIST.
Excellent written and verbal communication skills, interpersonal and collaborative skills, and the ability to communicate security and risk-related concepts to technical and nontechnical audiences.
Strong presentation skills for communicating architectural designs to executive leadership.
Leadership skills, ability to motivate people.

Physical Demands

Duties of this position are performed in a normal office environment.
Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data. Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required.
Occasional overnight travel is required.

Salary

The stated range includes Base Salary and target Short-Term Incentive (STI) compensation only. A comprehensive benefits package is offered in addition to this range.
The range described in this posting is an estimate by the Company, and may change based on several factors, including but not limited to a change in the duties covered by the job posting, or the credentials, experience or geographic jurisdiction of the successful candidate.
Salary range $132,687 – $182,687 CAD

Typical Experience

10+ years previous experience in a similar role/industry.
Extensive hands-on experience designing and securing Google Cloud, Azure, and Google Workspace environments.

Typical Education

Bachelors Degree.
CISSP, CCSP (Certified Cloud Security Professional), or relevant cloud vendor certifications are a plus.

Notes

This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.

Celestica is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.

COMPANY OVERVIEW:
Celestica (NYSE, TSX: CLS) enables the world’s best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development – from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.

We use artificial intelligence tools to assist in screening and assessing applications for this role. All hiring decisions involve human review.

This posting is for an existing vacancy.

Celestica would like to thank all applicants, however, only qualified applicants will be contacted. Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.

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More about this job

Responsibilities

This role focuses on designing and reviewing AI security architecture while managing the deployment of AI solutions and agents. It involves establishing governance frameworks, enforcing security guardrails, and ensuring compliance with corporate IT security standards.

Requirements

Candidates must have over 10 years of experience in cloud and AI security, with proficiency in multi-cloud environments and programming languages like Python or PowerShell. A bachelor's degree is required, and expertise in securing LLMs and AI infrastructure is essential.

Skills

AI Security Architecture
Cloud Security
GCP
Microsoft Azure
AWS
Python
PowerShell
Docker
Kubernetes
ML Pipeline Architecture
Identity and Access Management
API Security
Data Security
Governance Frameworks
Risk Mitigation
LLM Security

Visa sponsorship

Not detected in the job text

Keywords

AI Security
Cloud Security
GCP
Azure
AWS
Python
PowerShell
Docker
Kubernetes
ML Pipeline
LLM
Identity and Access Management
API Security
Data Security
ISO/IEC 27001
ITIL
NIST
Governance
Risk Management
AI Agents
Vertex AI
Azure AI Foundry
Claude
ChatGPT
Google Gemini
FinOps
Cybersecurity
SaaS
PaaS
DLP

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