Azure DevOps Engineer

Description

Our client is seeking an experienced Azure DevOps Engineer to join its Technology Infrastructure Operations team. This individual will play a critical role in supporting cloud transformation initiatives, advancing DevOps best practices, and helping lead the organization's migration from MuleSoft to Azure API Management (APIM).

This position will partner closely with infrastructure, development, and business teams to design, deploy, and maintain scalable cloud solutions while ensuring the reliability and performance of customer-facing applications and enterprise platforms.

This is an excellent opportunity for a hands-on Azure DevOps professional who enjoys owning the entire solution lifecycle, from requirements gathering through deployment, monitoring, and ongoing operational support.

Skills

Azure, Devops, Terraform

Additional Skills & Qualifications

Design, develop, and maintain CI/CD pipelines using Azure DevOps.

Support the migration of APIs from MuleSoft to Azure API Management (APIM).

Build, deploy, monitor, and optimize cloud-based applications and services within Azure.

Manage source code repositories, branching strategies, and deployment processes.

Implement infrastructure automation and Infrastructure as Code (IaC) best practices.

Collaborate with development, infrastructure, and business stakeholders to gather requirements and deliver reliable solutions.

Provide production support and troubleshooting for cloud and application environments.

Support customer-facing digital platforms, eCommerce applications, and enterprise integrations.

Participate in cross-training initiatives and help drive DevOps standardization across teams.

Participate in scheduled after-hours deployments and production support activities as needed.

Preferred Qualifications

Experience migrating APIs from MuleSoft to Azure.

Knowledge of Infrastructure as Code tools such as:

Terraform

Bicep

ARM Templates

Azure CLI

Experience supporting high-availability, customer-facing applications.

Kubernetes experience.

Experience with Azure Function Apps.

Previous experience in large enterprise or managed services environments.

Salesforce deployment experience.

Copado experience.

Job Type & Location

This is a Contract to Hire position based out of Fort Mill, SC.

Pay and Benefits

The pay range for this position is $50.00 - $75.00/hr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully onsite position in Fort Mill,SC.

Application Deadline

This position is anticipated to close on Aug 28, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.