AI DevOps Automation Engineer (Python, GitHub, Cloud – SDLC, RAG, MLOps)

Austin, TX - USA

Monthly Salary: Not Disclosed

Posted on: 1 hour ago

Vacancies: 1 Vacancy

Job Summary

Job Title : AI DevOps Automation Engineer (Python GitHub Cloud SDLC RAG MLOps)

Location: Austin TX (Hybrid -Local Candidates only)

We are currently seeking candidates who meet the following qualification

Mandatory Qualifications

Bachelors degree in Computer Science Engineering or equivalent experience
Proven ability to administer GitHub Enterprise Cloud
Strong experience analyzing and resolving complex technical issues
Experience supporting and training end users at all levels
Hands-on experience working with Continuous Integration and Continuous Delivery models
Background in cloud-native infrastructure (AWS Azure or GCP)
Proficiency in automation and scripting (Python preferred; Bash or similar also accepted)
Strong understanding of CI/CD pipelines and cloud-native technologies
Experience applying AI/ML techniques for engineering use cases (anomaly detection clustering classification etc.)
Familiarity with ML frameworks such as Scikit-learn TensorFlow or PyTorch
Good understanding of monitoring logging and observability tooling
Experience working with developer IDEs (Eclipse IBM RAD STS etc.)

Preferred Qualifications

Experience with anomaly detection predictive analytics or time-series forecasting
Knowledge of MLOps principles for internal AI models
Experience integrating AI solutions into DevOps toolchains
Familiarity with IaC tools such as Terraform Pulumi or CloudFormation
Experience with Hyper-V virtual machine management
Asset and service account management experience
Exposure to BMC Helix ticketing systems
Experience working on large development projects using Agile methodology

Responsibilities

Design and implement AI/ML models to enhance SDLC processes in areas such as:
- Developer productivity and experience
- Intelligent test management using analytics and predictive techniques
- Predictive infrastructure failure detection
- Agentic AI MCP implementation and RAG methods
- Intelligent alerting and noise reduction
- Automated incident classification and root-cause analysis
- CI/CD optimization based on historical data
- Generative AI for Infrastructure-as-Code
- Other innovative automation use cases
Work closely with Development DevOps and Infrastructure teams to identify automation opportunities and technical challenges.
Develop automation scripts and tools to reduce manual effort and improve operational efficiency.
Build deploy and maintain pipelines to train and continuously improve AI models supporting DevOps processes.
Collaborate with Cloud Infrastructure and DevOps teams to develop architecture and design documents.
Ensure reliability scalability and performance of AI-driven automation tools.
Integrate AI solutions into monitoring and observability systems.
Perform system analysis troubleshooting performance tuning and defect identification.
Create documentation including technical designs workflows and operational guides.
GitHub Administration:
- Manage repositories branching strategies and access controls
- Automate workflows using GitHub Actions or other CI/CD tools
- Maintain code quality and integration processes
- Define and enforce governance rules
Support Agile Scrum and DevOps methodologies.
Other duties as assigned.

If you meet these qualifications please submit your application via link provided in Linkedin.
Kindly do not call the general line to submit your application.

Job Title : AI DevOps Automation Engineer (Python GitHub Cloud SDLC RAG MLOps) Location: Austin TX (Hybrid -Local Candidates only) We are currently seeking candidates who meet the following qualification Mandatory Qualifications Bachelors degree in Computer Science Engineering or equivalent ...