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Product Owner - W2 (No C2C or 1099) - Onsite role and must be local to Charlotte, NC (Posted by SAM)

Charlotte, NC, US • Posted 1 day ago • Updated 1 day ago

Contract W2

6 Months

No Travel Required

On-site

Depends on Experience

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Job Details

Skills

Kubernetes
Artificial Intelligence
Ansible
Amazon Web Services
DevOps
Grafana
GraphQL
Jenkins
Microservices
Terraform
Docker
LangChain
Autogen

Summary

Required Skills:

Strong experience as a Technical Product Owner, Platform Engineer, DevOps Engineer, or Cloud Engineer supporting enterprise software platforms.
Strong knowledge of Kubernetes, containerized platforms, and cloud-native application architectures.
Hands-on experience with AWS and/or Azure cloud environments.
Strong understanding of software development lifecycle (SDLC) and Agile delivery methodologies.
Experience managing product roadmaps, backlogs, sprint planning, backlog grooming, and prioritization.
Experience working directly with software developers, platform engineers, and DevOps teams.
Strong understanding of microservices architecture, API integrations (REST/GraphQL), and distributed systems.
Experience supporting Kubernetes controllers, operators, automation platforms, and deployment workflows.
Strong knowledge of CI/CD pipelines, GitHub/GitLab, Jenkins, ArgoCD, Terraform, Ansible, or similar technologies.
Experience with Docker, container orchestration, and cloud deployment automation.
Strong understanding of systems integrations, workflow automation, and developer enablement tools.
Experience delivering enterprise cloud or SaaS solutions.
Knowledge of AI/ML platform deployment, MLOps practices, and production AI workloads.
Hands-on experience with LLM APIs such as OpenAI, Azure OpenAI, AWS Bedrock, or similar.
Experience with prompt engineering, AI agents, and AI-powered development tools such as GitHub Copilot.
Knowledge of LangChain, LangGraph, AutoGen, RAG architectures, and AI orchestration platforms.
Experience with vector databases, semantic search, and enterprise AI integrations.
Strong understanding of cloud security, secrets management, container security, compliance, and governance.
Experience with monitoring and observability tools such as Prometheus, Grafana, Datadog, or CloudWatch.
Excellent communication, stakeholder management, and leadership skills.
Ability to translate technical concepts into business requirements and product outcomes.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10300977
Position Id: 9058236
Posted 1 day ago

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Mel Warden

President @ Global Force USA

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