Sr. DevOps Engineer

TEKsystems; Charlotte (NC); Hybrid; USD 171,924,000 - 186,252,000; Part time

Benefits offered by this job

Medical insurance

401(k) plan

Life insurance

Disability coverage

HSA

Transit benefits

Employee assistance

PTO / Vacation

Job summary

TEKsystems in Charlotte, NC seeks a DevOps Engineer for a 12-36 month contract to enhance and optimize CI/CD pipelines, and automate workflows within a platform ecosystem. You will collaborate across development, platform, and infrastructure teams to onboard applications and cloud services into enterprise delivery pipelines.

You will support cloud migrations across AWS, Azure, and GCP, using Terraform for IaC, and engage with security for compliant, scalable designs. Hybrid work in Charlotte.

Qualifications

• Experience supporting large-scale cloud migration initiatives.
• Experience in highly regulated environments is preferred.
• Experience with OpenShift and containerized deployments.
• Familiarity with AI-assisted development tools (e.g., GitHub Copilot, ChatGPT).
• Knowledge of test automation frameworks and automated testing practices.

Responsibilities

• Enhance, maintain, and optimize existing CI/CD pipelines within a platform ecosystem.
• Modify and support pipeline code, scripts, and automation workflows.
• Partner with development, platform, and infrastructure teams to onboard applications and services.
• Support cloud migration and cloud adoption across AWS, Azure, and GCP.
• Leverage Terraform IaC to automate provisioning and deployments.
• Collaborate with security teams to ensure secure pipeline design and governance.

Skills

Terraform

CI/CD pipelines

AWS

Azure

GitHub

Education

DevOps / Cloud Certifications

Tools

Kubernetes

OpenShift

Job description

DevOps Engineer

Duration: 12-36 Months

Location: Charlotte, NC

Description

• Enhance, maintain, and optimize existing CI/CD pipelines within a platform ecosystem.
• Modify and support pipeline code, scripts, and automation workflows to meet new business and technical requirements.
• Partner with development, platform, and infrastructure teams to onboard applications and cloud services into enterprise delivery pipelines.
• Support cloud migration and cloud adoption initiatives across AWS, Azure, and GCP environments.
• Leverage Infrastructure as Code (IaC) practices using Terraform to automate infrastructure provisioning and deployment processes.
• Collaborate with security teams to ensure secure pipeline design and adherence to enterprise standards.
• Support cloud infrastructure onboarding platforms and related automation initiatives.
• Participate in technical design discussions and implementation activities for DevOps and platform engineering projects.
• Evaluate and integrate modern tooling, automation techniques, and AI-assisted development capabilities where appropriate.
• Work closely with globally distributed teams to deliver scalable, reliable DevOps solutions.

Skills

• Terraform
• ci/cd pipelines
• Aws
• Azure
• github

Additional Skills & Qualifications

Preferred Qualifications:

• Experience supporting large-scale cloud migration initiatives.
• Working within highly regulated environments
• Experience working with OpenShift and containerized application deployments.
• Experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, or similar technologies.
• Familiarity with test automation frameworks and automated testing practices.
• DevOps, Cloud, Terraform, Kubernetes, or related certifications.

Experience Level

Expert Level

Job Type & Location

This is a Contract position based out of Charlotte, NC.

Pay and Benefits

The pay range for this position is $60.00 - $65.00/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 hybrid position in Charlotte,NC.

Application Deadline

This position is anticipated to close on Sep 1, 2026.

Equal Opportunity Employer

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.

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.