Gen AI OpenShift Orchestration
Irving, Texas, United States of America
Contract
2 weeks ago
$68 USD
Key skills
PythonAIMLLangChainAgenticFastAPIFlaskPhoenixAWSKubernetesHelmOpenShiftSageMakerBedrockVertex AICI/CDLeadership
About this role
Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Lead OpenShift Engineer - in Charlotte, NC. Phoenix, AZ. Chandler, AZ. or Irving, TX. (Hybrid).
Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.
Contract Duration: 12 Months
Consult as an expert to develop or influence initiatives and resources for highly complex business and technical needs across Engineering. Consult on the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, and advanced analytical and inductive thinking. Provide expertise to client senior leadership on innovative Engineering business solutions. Strategically engage with client personnel.
Required Qualifications: 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
Advanced OpenShift Engineering & Operations ( 4 to 6 years)
Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.
Contract Duration: 12 Months
Consult as an expert to develop or influence initiatives and resources for highly complex business and technical needs across Engineering. Consult on the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, and advanced analytical and inductive thinking. Provide expertise to client senior leadership on innovative Engineering business solutions. Strategically engage with client personnel.
Required Qualifications: 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
Advanced OpenShift Engineering & Operations ( 4 to 6 years)
- Deep expertise with OpenShift includes building clusters with pipelines, diagnosing, debugging, remediation, upgrades, patching, and RCA.
- Strong experience with Operators, Diagnostics hub operators, ETCD, API server, workloads, and cluster internals.
- Strong, production quality Python engineering skills.
- Hands on experience with the OpenShift Python client and Operator / Kubernetes Python libraries.
- Ability to build automated remediation workflows and operational tools in Python.
- High code quality - Unit Tests, Vulnerability Management
- Packaging and Deploying Experience - Helm Charts, CI/CD, GitSaaS workflows
- System Design Experience
- Technical Documentation
- Experience developing agentic AI workflows aimed at OpenShift operations and remediation.
- Strong skills with frameworks such as LangChain, Google ADK/Agents, or similar multiagent orchestration tools.
- Develop skills and Tools for Agentic AI to complete tasks for OpenShift Platform
- Ability to build tool calling agents that interact with OpenShift safely and deterministically.
- Experience building agentic AI systems without using managed ML/AI platforms such as AWS SageMaker, Bedrock, Vertex AI, or similar hosted orchestration services.
- Candidate should have developed and deployed self-hosted, Python-based AI/agentic services end-to-end.
- Ability to build, extend, and maintain a Python-based automation platform (FastAPI or Flask) that executes OpenShift actions.
- Experience designing agent tools/endpoints for AI-driven workflows.