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
Job 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
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