Senior Cloud & Infrastructure Engineer (Azure & Terraform)
- Canada
Salary range: CA$155,000-CA$168,000. · Full-time
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Job details
- Pay
- Salary range: CA$155,000-CA$168,000.
- Job type
- Full-time
- Posting language
- English
- Posted
Original job description
Req# 1084862013
The recruiting efforts for this position are intended to fill an existing vacancy for a new position.
Responsibilities
- Infrastructure Provisioning & Management: Hands-on creation and modification of Azure infrastructure using modular Terraform, including complex Terraform state modifications
- Architecture & Networking: Design and implement Azure Landing Zones, hub-and-spoke topologies, Azure networking (Private DNS, Service Endpoints, Private Endpoints at scale), and robust Identity & Access Management (Entra ID, Managed Identities, Federated Credentials, OIDC, App Registrations, Service Principals)
- AI-Assisted Development Governance: Leverage AI tools to accelerate development while acting as the technical authority - setting the right context, validating outputs against corporate standards, and ensuring solutions go beyond generic AI templates
- Security & Compliance: Ensure all IaC creation strictly conforms to security guardrails, compliance frameworks, and industry best practices
- Collaboration & Leadership: Act as a trusted technical advisor to cross-functional teams and stakeholders, leading conversations and driving technical direction
- Documentation & Knowledge Sharing: Champion Documentation-as-Code (DaC) practices and foster a collaborative environment through active knowledge sharing
- Ability to write and improve Terraform modules from the ground up with a focus on validation, optimization, reusability, and backward compatibility
- Proven capability to troubleshoot complex pipeline runs and handle state modifications (basic resource management is not sufficient)
- Deep understanding of secure, production-ready IaC creation
- Extensive hands-on experience with Azure Landing Zone concepts
- Advanced Azure networking implementation (Hub-and-Spoke, Private DNS, Service/Private Endpoints at scale)
- Comprehensive Azure Identity and Access Management expertise (Entra ID, Managed Identities, Federated Credentials, OIDC, App Registrations, and Service Principals)
- Client-Oriented & Proactive: Strong consultative mindset with the ability to lead work and drive conversations with stakeholders rather than waiting for instructions
- Collaborative: Excellent partnering skills across cross-functional teams
- Documentation Advocate: Committed to maintaining clean documentation and mentoring team members
- Extended Healthcare with Prescription Drugs, Dental and Vision, and Healthcare Spending Account (Company Paid)
- Life and AD&D Insurance (Company Paid)
- Employee Assistance Program (Company Paid)
- Telehealth (Company Paid)
- Short-term Disability (Company Paid)
- Long-Term Disability
- Paid Time Off (including vacation and sick days)
- Registered Retirement Savings Plan (RRSP) with Company match
- Maternity/Parental/Adoption Leave Top-up
- Employee Stock Purchase Program
- Critical Illness Insurance
- Employee Discounts
- Unlimited access to LinkedIn learning solutions
An artificial intelligence system is software that is developed with one or more techniques that can, for a given set of human-defined objectives, using algorithmic information processing, generate outputs such as content, predictions, recommendations, or decisions with varying levels of autonomy (“AI”). Tasks that humans have traditionally done by thinking and reasoning are increasingly being done by, or with the help of, AI to help create efficiencies.EPAM may use AI during the recruitment process, in connection with collecting or processing your personal data. Some (non-exhaustive) examples of tasks that EPAM may use AI for include conducting initial screening, creating transcripts of interviews, and assessing applications/CVs against defined job description criteria to make suggestions to the individuals evaluating your candidacy.Your personal data and the results of any processing are not shared with AI applications outside of EPAM infrastructure. While EPAM may use AI to help create efficiencies during the recruitment process, EPAM does not use AI to make hiring decisions, which is done by EPAM Talent Acquisition and management.
EPAM Canada welcomes and encourages applications from candidates with disabilities. Please contact WFA Human Resource CA WFAHRCA@epam.com if you have questions in this regard, or if you require an accommodation to complete the application process. Click here to review EPAM’s Accessibility for Ontarians with Disabilities Accessibility Policies and Multi-Year Access.
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
Engineer the Future with a Career at EPAM
More about this job
Responsibilities
Build, modify, and maintain secure, production-grade Azure infrastructure using reusable Terraform modules, including complex state changes, landing zones, networking, and identity and access management. Guide cross-functional stakeholders, validate AI-assisted development against corporate standards, enforce security and compliance requirements, and promote documentation and knowledge sharing.
Requirements
Requires extensive hands-on Azure and Terraform experience, including creating and improving reusable modules, troubleshooting complex pipelines, and managing Terraform state. Candidates should have advanced expertise in Azure landing zones, networking, identity and access management, secure production-ready infrastructure as code, stakeholder collaboration, and documentation.
Skills
- Azure Cloud Architecture
- Terraform
- Infrastructure as Code
- Azure Landing Zones
- Azure Networking
- Hub-and-Spoke Topologies
- Private DNS
- Service Endpoints
- Private Endpoints
- Entra ID
- Managed Identities
- Federated Credentials
- OIDC
- Terraform State Management
- Pipeline Troubleshooting
- Documentation as Code
Benefits
- Extended Healthcare
- Prescription Drug Coverage
- Dental Insurance
- Vision Insurance
- Healthcare Spending Account
- Life Insurance
- Accidental Death and Dismemberment Insurance
- Employee Assistance Program
- Telehealth
- Short-Term Disability Insurance
- Long-Term Disability Insurance
- Paid Time Off
- Vacation Leave
- Sick Leave
- Registered Retirement Savings Plan With Company Match
- Maternity, Parental, and Adoption Leave Top-Up
- Employee Stock Purchase Program
- Critical Illness Insurance
- Employee Discounts
- LinkedIn Learning Access
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Consulting
Keywords
- Azure
- Terraform
- Infrastructure as Code
- Terraform Modules
- Terraform State
- Azure Landing Zones
- Hub-and-Spoke Networking
- Azure Networking
- Private DNS
- Service Endpoints
- Private Endpoints
- Entra ID
- Managed Identities
- Federated Credentials
- OIDC
- App Registrations
- Service Principals
- Identity and Access Management
- Security Guardrails
- Compliance Frameworks
- AI-Assisted Development
- Pipeline Troubleshooting
- Documentation as Code
- Backward Compatibility
- Production-Ready Infrastructure
- Cross-Functional Collaboration