Software Engineer

Red Hat•Raleigh, NC

16d•Hybrid

About The Position

Responsible for implementation of resource models and scalable APIs that serve as the foundational control plane for the Hybrid Cloud Console and ISV partner integrations. Lead the end-to- end development of new user-facing features and platform enhancements for global SaaS offerings, focusing on original feature creation within an agile lifecycle.

Requirements

Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Software Engineering or related field and two (2) years of experience in the job offered or related role.
Two (2) years of experience with: writing production-level code.
Two (2) years of experience with: developing full-stack web applications (front-end and back-end web applications).
Two (2) years of experience with: identifying and fixing software bugs.
Two (2) years of experience with: SQL databases.
Two (2) years of experience with: working with Python web development frameworks including Django or Flask.
Two (2) years of experience with: working and developing REST API interfaces.
Two (2) years of experience with: building front-end user experiences with web development frameworks.
Two (2) years of experience with: testing software by writing unit-tests.
Two (2) years of experience with: agile software development practices and issue tracking systems including Jira or Github Issues.
Two (2) years of experience with: pair-programming and test-driven development (TDD).
One (1) year of experience with: working with JavaScript or Python programming language.
One (1) year of experience with: working with Git and GitHub.
One (1) year of experience with: managing software deployment with Red Hat OpenShift.
One (1) year of experience with: building and distributing RHEL based containerized applications with Docker or Podman.
One (1) year of experience with: building and managing AI-enabled applications.
One (1) year of experience with: debugging production software issues using Kibana, Grafana and AWS Cloudwatch.
One (1) year of experience with: debugging SQL database issues and performing database migrations.

Responsibilities

Design and deploy standardized host servers that act as a secure bridge between local data tools and AI clients, ensuring real-time interoperability and modular system expansion.
Integrate intelligent automation and AI-driven workflows into the platform to enhance user experience and automate complex data analysis through advanced model context management.
Build and secure cloud services using containerization and modern deployment technologies, focusing on high-level orchestration within identity and access management frameworks.
Conduct high-level code reviews of complex pull requests to ensure long-term platform stability, security, and alignment with global engineering standards.
Establish a common integration fabric that allows disparate products and managed services to be plugged into a unified control plane, ensuring seamless data flow across the ecosystem.
Implement complex, responsive user-facing features for SaaS offerings using modern design patterns and advanced component libraries to ensure high-performance, accessible, and scalable platform interfaces.