Software Developer 4
Oracle
Requirements:
Minimum 2 years of experience in Software engineering and release engineering
- Excellent debugging skill of C/C++ and Java projects.
- Excellent in developing applications using Python.
- In depth knowledge of Jenkins plugins, hands on with developing new plugins.
- Must have worked with several builtools like Maven, Gradle, SBT, Makefile etc
- Good understanding of Large Language Models(LLMs), RAG and prompt engineering.
- Good in PLSQL.
- Good in OS concepts LINUX.X64 and WINDOWS.X64
- Excellent communication skill.
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We are seeking a highly skilled and experienced Principal Release Engineer with a deep understanding of Machine Learning (ML) and Artificial Intelligence (AI) to join our Database release engineering team. The ideal candidate will be responsible for automating, streamlining, and overseeing the continous integration of large C/C++, Java code-base projects. You will work closely with our development teams, release managers, and DevOps teams to build and release products using complex AI/ML solutions in a production environment. As a Princiapal Release Engineer, you will play a key role in the continuous improvement of our CI/CD pipelines, ensuring that we can efficiently release high-quality software. You should have a strong background in software engineering, experience with AI/ML workflows, and a deep understanding of a modern DevOps environment.
Career Level - IC4
As a release engineer you be responsible for
- Build and release large C/C++, JAVA code base projects
- Identify areas to automate and optimize within the release and deployment process, focusing on improving reliability, speed, and scalability.
- Design and maintain release pipelines for continuous integration and continuous deployment (CI/CD) for software applications.
- Continuously improve the CI/CD pipeline to handle increasing complexity and using AI/ML models
- Implement monitoring and alerting systems for release processes to detect and respond to issues proactively.
- Ensure that AI/ML workflows are integrated with the release pipeline, enabling faster, reliable deployment of models.
- Maintain comprehensive documentation for release processes, including best practices for model deployment and version control
- Provide training and mentorship to junior release engineers and other team members on the release engineering process.