What are the responsibilities and job description for the DevOps Engineer position at ML OUTSOURCING SERVICES PRIVATE LIMITED?
Please find details for this position below:
Job Title – AI Openshift Engineer/ DevOps/Platform
Location: Irving, TX/ Charlotte, NC/ Chandler, AZ – 3 days onsite
Contract Duration: 12 months contract
Advanced Systems Engineer and AI Developer
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, OVN K networking, workloads, and cluster internals.
Python development and OCP API skills for Remediation & Automation tasks (> 5 years)
- 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
- SLM (Small Language Model) Training & Tuning Development ( > 2 years)
- Experience training and tuning local models to make specialist domain for any data corpus
- Expertise in tasks include - Fine tuning vs. LoRA / QLoRA / adapters ; Knowledge distillation (LLM → SLM teacher student pipelines) ; constraints, not BLEU), Using VectorDB & RAG methods
Agentic AI Development for OCP ( > 3 years)
- Experience developing agentic AI workflows aimed at OpenShift operations and remediation.
- Strong skills with frameworks such as c, Google ADK/Agents, or similar multi agent 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.
API Automation Platform (FastAPI / Flask)
- 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.
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
Salary : $65 - $70