DevOps Process Improvement: Enhances and streamlines DevOps processes, focusing on requirements, documentation, code, and automated test creation.
Tool and Framework Development: Assists in defining and developing the tools and frameworks used across the department to enhance efficiency and collaboration.
Collaboration: Works closely with multiple development teams and third-party resources to ensure cohesive and efficient workflows.
Large Language Model (LLM) Utilization: Leverage experience with multiple LLMs to improve various aspects of software development and deployment.
Documentation: Creates, maintains, and improves documentation for DevOps processes and tools.
Testing: Develops and implements automated tests to ensure the quality and reliability of software applications.
Prompt Design & Development: Creates, tests, and refines prompts to guide generative artificial intelligence (GenAI) models in generating accurate and relevant responses. Develops strategies to confine model outputs to meet specific objectives and desired outcomes.
Research and Innovation: Stays up-to-date with the latest advancements in GenAI and prompt engineering techniques. Experiments with new approaches and technologies to enhance the capabilities of our AI models.
Requirements & Skills:
Experience with other cloud platforms and DevOps tools.
Knowledge of modern software development practices and methodologies.
Familiarity with machine learning and artificial intelligence concepts.
Technical Stack Exposure: Experience with Microsoft Azure and GitHub Copilot
DevOps Knowledge: Strong understanding of DevOps processes and tools, with a proven track record of improving and streamlining these processes.
Hands-on experience working with multiple Large Language Models (LLMs)
