DevOps & Cloud Engineer II-AWS

Devops Cloud Engineer 2 (Full-time, Remote)

Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise. We value deep relationships, dedication to serving others and inclusion. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunity for people to achieve fulfillment through career success. Ready to join us?

Here’s what the opportunity supported through our TGS Talent Acquisition Team requires:

The Cloud Engineer II is a technical role responsible for designing, building, and maintaining cloud-based solutions and accelerators to support consulting and delivery projects or programs. This individual will work closely with architects and delivery teams to develop robust, secure, and scalable cloud solutions on AWS that drive value for clients and align with enterprise modernization objectives. The role focuses on hands-on technical tasks and solution engineering, with minimal delivery support responsibilities. This role may require occasional travel, such as a kickoff week for a long engagement.

Key Responsibilities:

• Receive requirements from architects and translate solution patterns into high-quality, maintainable code.

• Implement a wide variety of cloud architectures using infrastructure as code

• Develop, test, and deploy modular accelerator code, where applicable, to streamline project implementation and enhance client value.

• Integrate security, networking, and observability features into each component as specified by solution designs.

• Leverage GitHub Actions, CodePipeline, CodeBuild, and automation tools to deploy complex cloud architectures efficiently.

• Participate in code reviews and incorporate feedback for continuous improvement.

• Apply flexible application logic and feature enhancements to base patterns from open-source or internal repositories.

• Rapidly learn and apply new patterns and technologies to meet evolving solution requirements.

Minimum Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience).

• 5+ years of hands-on experience in cloud engineering or related technical roles.

• 3+ years’ experience working with AWS services, including compute, storage, networking, and security.

• Deep experience with infrastructure as code using at least one of: Terraform, CloudFormation, Pulumi, or AWS CDK using Node.js.

• Strong scripting skills in Python and/or TypeScript.

• Experience with vibe coding using Kiro, Cursor, or Claude.

• Experience with source code management and CI/CD tools, preferably GitHub, GitHub Actions, CodePipeline, and CodeBuild.

• Hands-on experience with AWS RDS, DynamoDB, S3, and networking components.

• Experience with containers (ECS, EKS, OpenShift) in both Windows and Linux environments.

• Understanding of observability tools and implementing monitoring solutions in AWS environments.

• Strong knowledge of IAM and security implementations in cloud environments.

• Experience with AWS Lambda, Fargate, and development of serverless workloads.

• Ability to quickly learn new technologies and apply them to real-world problems.

• Excellent communication and collaboration skills for working with architects and other technical team members.

• Associate level AWS certification (Solutions Architect, CloudOps Engineer, or Developer)

Desired Qualifications:

• Master’s degree in Computer Science, Engineering, or a related discipline.

• 5+ years of experience in cloud engineering or solution delivery.

• Professional level AWS certification (Solutions Architect, DevOps Engineer, or specialty)

• Demonstrated ability to author Kubernetes manifests and Helm charts.

• Experience implementing automation in production environments using Chef, Puppet, Salt, Ansible, or cloud-native tools.

• Familiarity with at least one virtualization technology such as VMware, OpenStack, or OpenShift Virtualization.

• Familiarity with enterprise AWS services such as Organizations, Control Tower, Transit Gateways, and Direct Connect.

• Demonstrated success in deploying secure, scalable, and highly available distributed systems.

Top Skills Details

Cloud,Aws,Devops

Additional Skills & Qualifications

Excellent Communication Skills

Experience Level

Expert Level

This is a Permanent position based out of Hanover, MD.

The pay range for this position is $74700.00 - $112100.00/yr.

We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification. Additional earnings may be available through incentive programs like annual bonuses, profit sharing, etc. Our full-time, internal employment benefits include the following:
• Medical, Dental, and Vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life and AD&D for 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)

This is a fully remote position.

This position is anticipated to close on Jul 22, 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.