Description

Key Responsibilities

  • Design, develop, and maintain automation scripts and frameworks using Python and shell scripting to streamline middleware operations and deployments.
  • Collaborate with middleware engineers to identify automation opportunities in provisioning, configuration, monitoring, and incident resolution.
  • Integrate AI tools (including ChatGPT and other LLM-based solutions) into automation workflows for predictive analytics, intelligent troubleshooting, and enhanced operational insights.
  • Partner with infrastructure and application teams to ensure automation aligns with enterprise security, compliance, and performance standards.
  • Contribute to AI-driven proof of concepts and pilots for automation in the middleware space.
  • Provide support for automation tools and scripts in production, ensuring stability and reliability.
  • Maintain documentation for developed scripts, workflows, and integrations.

 

Required Skills & Experience

  • Strong proficiency in Python and shell scripting (Bash, KornShell, etc.).
  • Proven experience developing automation solutions for middleware platforms (e.g., WebSphere, WebLogic, Tomcat, MQ, Kafka, etc.).
  • Solid understanding of AI concepts and experience integrating AI/ML models or APIs (OpenAI, ChatGPT, Azure Cognitive Services, etc.) into automation processes.
  • Familiarity with enterprise infrastructure environments, including Linux/Unix administration.
  • Strong problem-solving and analytical skills, with the ability to troubleshoot complex middleware and automation issues.
  • Experience with version control (Git), CI/CD pipelines, and DevOps practices

Education

Any Gradute