Software Engineer at Red Hat working on automating tools and processes for AI projects. Collaborating with various teams and stakeholders to deliver key project milestones and manage cloud infrastructure.
Responsibilities
Communicate with a range of Red Hat AI project stakeholders, including engineers, product managers, and senior leadership.
Contribute to project planning to ensure the timely delivery of key milestones.
Publicize the team's work through blogs, web postings, and conference talks.
Write and contribute Python code to build and improve tools that automate our team's work.
Execute manual and automated tests for Red Hat AI projects and provide clear status updates.
Build, maintain, and automate our cloud infrastructure (like servers and storage) to ensure our applications run efficiently and cost-effectively.
Track our online resources and adjust them to save money and improve performance.
Participate in AI and machine learning communities to evaluate new technologies for our products.
Create and package software environments (workbenches, container images) for inclusion in Red Hat products.
Organize software releases to ensure consistent versions.
Integrate various components of the software system, including third-party tools and libraries, ensuring system components work together seamlessly.
Ensure all components of our software system and external tools work together smoothly to deliver a seamless user experience.
Set up and maintain monitoring dashboards and logging systems to track delivery infrastructure and application health.
Write scripts to automate repetitive tasks and help different software tools work together.
Embed security checks into our automated development process to find and fix potential security weaknesses early.
Manage our code library, including organizing team contributions and controlling access.
Set up a central storage system for all software components, ensuring they are organized and easy to use.
Create temporary online workspaces on demand for developers and QA teams to test new features.
Set up systems to analyze application data and create reports that help the team understand what needs to be fixed.
Highlight critical problems and explain their real-world impact on customers to the product development team.
Requirements
Bachelor's degree (U.S. or foreign equivalent) in Computer Science or related field and two (2) years of experience in the job offered or related role.
Must have one (1) year of experience with: Python development, writing, automation scripts, tools, and other code contributions; and writing and executing manual and automated tests.
Must have one (1) year of Infrastructure as Code (IaC) experience with tools to provision and manage public cloud resources.
Must have one (1) year of CI/CD tooling experience with tools and concepts.
Must have one (1) year of containerization experience building and managing containers.
Must have one (1) year of cloud administration experience, including cloud platforms and managing and optimizing cloud resources.
Must have one (1) year of code management experience using Git for version control, including branching strategies and repository management.
Must have one (1) year of monitoring and logging experience with monitoring tools and centralized logging systems to track application health and performance.
Must have one (1) year of systems design and development experience designing, building, and maintaining robust, scalable software systems beyond scripting.
Benefits
This position may also be eligible for bonus, commission, and/or equity.
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