DevOps Engineer
Company: S3
Location: Charlotte
Posted on: April 7, 2026
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Job Description:
Job Description Strategic Staffing Solutions is currently
looking for DevOps engineer, for a W2 contract opportunity with one
of our largest clients! This is a W2 contract opportunity, and the
candidates should be willing to work on our W2 ONLY, NO C2C. DevOps
Engineer Location: Charlotte, NC/Iselin, NJ Type: W2 Contract – 12
months Work Schedule: Onsite-Hybrid Schedule: 3 days in office Top
Skills : Dev OPS – Github Actions Harness GenAI, Agentic AI J ob
Description: We are seeking a Senior DevOps Engineer with expertise
in GitHub Actions, Harness, and modern AI technologies including
Generative AI and Agentic AI. This role will design and optimize
CI/CD pipelines, enable scalable AI model deployment, and build
autonomous workflows. The ideal candidate bridges DevOps and AI
engineering to accelerate software delivery, automation, and
intelligent system orchestration. In this contingent resource
assignment, you may: Consult on or participate in moderately
complex initiatives and deliverables within Software Engineering
and contribute to large-scale planning related to Software
Engineering deliverables Review and analyze moderately complex
Software Engineering challenges that require an in-depth evaluation
of variable factors. Contribute to the resolution of moderately
complex issues and consult with others to meet Software Engineering
deliverables while leveraging solid understanding of the function,
policies, procedures, and compliance requirements. Collaborate with
client personnel in Software Engineering. Key Responsibilities
Design, implement, and maintain CI/CD pipelines using GitHub
Actions and Harness Automate build, test, and deployment workflows
across cloud environments (AWS/Azure/GCP) Integrate and deploy
Generative AI models (LLMs, APIs, fine-tuned models) Build and
orchestrate Agentic AI systems (multi-step autonomous workflows,
tool use, decisioning agents) Implement infrastructure as code
(Terraform, CloudFormation, etc.) Monitor system performance,
reliability, and security of pipelines and AI services Enable MLOps
practices for model lifecycle management (training, deployment,
monitoring) Collaborate with engineering, data science, and product
teams Required Skills Strong experience with GitHub Actions and
CI/CD pipeline design Hands-on experience with Harness (CD, feature
flags, cloud cost management is a plus) Experience with cloud
platforms ( AWS, Azure, or GCP ) Knowledge of containerization
(Docker, Kubernetes) Experience integrating Generative AI APIs
(OpenAI, Anthropic, etc.) Understanding of Agentic AI frameworks
(LangChain, AutoGen, CrewAI, etc.) Scripting/programming: Python,
Bash, or similar Experience with infrastructure as code (Terraform
preferred) Required Qualifications: 4 years of Software Engineering
experience, or equivalent demonstrated through one or a combination
of the following: work or consulting experience, training, military
experience, education. Education Bachelor’s degree in Computer
Science, Engineering, or related field “Beware of scams. S3 never
asks for money during its onboarding process.”
Keywords: S3, High Point , DevOps Engineer, IT / Software / Systems , Charlotte, North Carolina
