Forward Deployed Engineer, Application & Infrastructure - Technology Strategy & Transformation

Location: Toronto
Other locations: Primary Location Only
Date: Oct 7, 2026
Requisition ID: 1750423
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.
The opportunity
Join the Transaction Strategy and Transformation team at EY, where you’ll help clients modernize legacy applications by embedding AI solutions. This role focuses on leveraging AI to assess legacy applications for cyber risks and to identify specific vulnerabilities, supporting clients in their digital transformation journeys. You’ll work with diverse teams and cutting-edge technology to deliver strategic value and innovation.
This job posting relates to an existing vacancy within our organization.
Your key responsibilities
Lead or support application modernization, cloud transformation, platform engineering, and infrastructure-modernization initiatives.
Assess legacy applications and their supporting infrastructure to identify technical debt, dependencies, security risks, operational constraints, and modernization opportunities.
Develop modernization recommendations and roadmaps aligned with business objectives, technical requirements, risk tolerance, and expected value.
Design and implement modern application architectures using cloud-native, containerized, API-led, and event-driven patterns.
Design and automate infrastructure environments using infrastructure-as-code, configuration management, and repeatable deployment patterns.
Build and improve CI/CD pipelines, automated testing, security scanning, release processes, and software-delivery controls.
Deploy and operate containerized applications using Docker, Kubernetes, Helm, and related platform technologies.
Work with infrastructure, identity, networking, storage, observability, backup, disaster-recovery, and operational-resilience requirements.
Use AI-assisted engineering tools to accelerate application discovery, documentation, code analysis, remediation, migration, testing, and modernization.
Skills and attributes for success
One to five years of experience in application development, cloud engineering, infrastructure engineering, DevOps, platform engineering, technology consulting, or related roles, including relevant co‑op or internship experience.
Diploma or degree in computer science, engineering, information systems, business technology, or a related field, or equivalent practical experience.
Strong understanding of software engineering, application architecture, infrastructure, and enterprise technology environments.
Hands‑on development experience with one or more of:
Java
C# and .NET
Python
Experience with GitHub, GitHub Copilot, Visual Studio Code, source control, automated testing, and pull‑request‑based development.
Experience with CI/CD technologies and DevSecOps practices.
Experience with at least one major cloud platform, such as Microsoft Azure, AWS, or Google Cloud.
Experience with Docker and familiarity with:
Managed container platforms
Service-mesh or ingress technologies
Familiarity with infrastructure-as-code technologies, such as Terraform, Bicep, ARM templates, or comparable tools.
Knowledge of APIs, microservices, event-driven architectures, integration patterns, and distributed systems.
Understanding of application and infrastructure security, including:
Identity and access management
Secrets and certificate management
Software composition analysis
Static and dynamic application-security testing
Vulnerability and patch management
Familiarity with observability technologies and practices covering logs, metrics, traces, alerts, dashboards, and service-level objectives.
Understanding of resilience, high availability, backup, disaster recovery, capacity planning, and performance optimization.
Ability to assess legacy applications and recommend appropriate approaches, including rehosting, replatforming, refactoring, rebuilding, replacing, or retiring.
Familiarity with AI-assisted application development and modernization tools.
General understanding of how enterprise applications integrate with hosted or privately deployed AI services.
Strong consulting, analytical, problem-solving, and stakeholder‑management skills.
Ability to communicate technical architecture and modernization recommendations to both technical and business audiences.
Experience coordinating small delivery teams of approximately two to five resources.
Strategic mindset with a focus on sustainable transformation and measurable client value.
Eligibility to obtain the security clearance required for applicable client engagements.
Ideally, you’ll also
Hold a degree in computer science, or a joint degree in computer science and business
Have completed multiple internships in the technology sector, with hands‑on experience in application development
Demonstrate experience working in client‑facing roles and supporting presentations
What we look for
We’re seeking candidates who combine technical expertise with business acumen, and who are passionate about using AI to solve complex challenges. The ideal candidate will have a track record of internships in technology and application development, analytical skills, and the ability to communicate effectively with clients.
What we offer
The EY benefits package is designed to support your physical, emotional, financial, and social wellbeing. Our extensive benefits include comprehensive medical, dental, and prescription drug coverage, as well as mental health benefits, a robust Employee Assistance Program and group savings plans to promote your overall wellbeing. We offer generous time off, including personal days, vacation days, and additional firm‑wide holidays, along with the option to purchase extra vacation days. Employees can take advantage of EY's exclusive learning programs tailored just for them. We also provide internal opportunities for career development and advancement, enabling you to grow within the firm. Get involved in meaningful volunteering through EY Ripples and make a positive impact in the community.
EY reports salary ranges in accordance with applicable provincial pay transparency legislation. Individual salaries within the anticipated salary ranges noted below are determined through a wide variety of factors including but not limited to internal equity, education, relevant experience, knowledge, and applicable skill sets.
Toronto: $95,000 to $115,000
Inclusiveness at EY
Inclusivenessisat the heart of who we are and how we work.We’recommitted to fostering an environment where differences are valued, policies and practices areequitable, and our people feel a sense of belonging. We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting ourneuroinclusionand accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation. Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
At EY, we use artificial intelligence (AI) tools as one element of our recruitment process to enhance efficiency and improve the candidate experience. While AI supports us in our process, human judgment and decision‑making remain integral in our candidate experience. We are committed to the responsible use of AI, and our practices are continuously reviewed and refined to ensure they align with ethical principles and regulatory requirements.
EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.
#J-18808-Ljbffr