Lead Azure DevOps Engineer- Azure Networking
- Canada
- Remote
- Posted Oct 13, 2026
- 1 position
$145,000–$165,000 / year
Opens LinkedIn
- Employment type
- Full-time
- Experience level
- Lead · 10+ years
- Apply by
- Nov 8, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Location requirements
- Country, Toronto, Ontario, Canada
- Seniority
- Mid-Senior level
Job summary
Lead the design, implementation, and optimization of secure, scalable, and compliant Azure infrastructure, with a focus on networking and Terraform-based infrastructure as code. Collaborate with stakeholders and cross-functional teams, ensure security and compliance standards, and support documentation and knowledge sharing.
Job details
We are seeking a Lead Azure DevOps Engineer with deep expertise in Azure Networking to drive the design, implementation, and optimization of cloud infrastructure solutions, while collaborating closely with cross-functional teams and stakeholders to deliver secure, scalable, and compliant Azure environments. Req# 1084862013 The recruiting efforts for this position are intended to fill an existing vacancy for a new position. Responsibilities Ensure Security and compliance, and conform to best practices for Terraform IaC creation; a generic AI-developed Terraform solution is not enough. Ability to set the right context and validate the outputs according to corporate standards and best practices overall is a MUST when developing AI-assisted Terraform solutions Collaborate with cross-functional teams, providing technical expertise Client-oriented mindset is a must; be capable of leading the work and pushing the conversations with the stakeholders, not just waiting for instructions Documentation-as-Code and Knowledge Sharing Requirements Hands-on experience with creation/modification of Azure infrastructure using Terraform modules, Terraform state modifications (experience working with Terraform resources alone will not be enough) Expert-level Terraform, meaning the ability to troubleshoot pipeline runs and improve or write Terraform modules from the ground up, with validations, optimizations, reusability and backward compatibility in mind and in place Expert level in Azure Cloud, Landing Zone concept, Azure networking (Azure Private DNS implementation, Service Endpoint/Private Endpoint hands-on experience with at-scale implementations, Hub-and-Spoke implementation experience), Azure Identity (Entra ID, Managed Identities, Federated Credentials, OIDC, App Registrations and Service Principals) We offer 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 This posting includes a salary range EPAM Canada would reasonably expect to pay the selected candidate. Individual compensation offers within the range are based on a variety of factors, including, but not limited to, experience, credentials, education, training, the demand for the role, skillset, and overall business and local labour market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: CA$145,000-CA$165,000. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position. 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
What you’ll do
Lead the design, implementation, and optimization of secure, scalable, and compliant Azure infrastructure, with a focus on networking and Terraform-based infrastructure as code. Collaborate with stakeholders and cross-functional teams, ensure security and compliance standards, and support documentation and knowledge sharing.
Requirements
Requires expert-level Terraform skills, including creating and modifying modules and state, troubleshooting pipelines, and building reusable, validated, optimized solutions with backward compatibility. Requires expert Azure Cloud and networking experience, including Landing Zones, Private DNS, Service and Private Endpoints at scale, Hub-and-Spoke architectures, and Azure identity services.
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
- 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
Listed skills
- Terraform · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Azure DevOps
- Azure Networking
- Terraform
- Infrastructure As Code
- Azure Cloud
- Azure Landing Zones
- Azure Private DNS
- Service Endpoints
- Private Endpoints
- Hub-And-Spoke Networking
- Microsoft Entra ID
- Managed Identities
- Federated Credentials
- OpenID Connect
- App Registrations
- Service Principals
Job areas
- Technology
- Software
- Engineering
- Management & Leadership
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