Software Engineer

Red River•Boston, MA

20d•$110,940 - $177,280•Hybrid

About The Position

Contribute to architecture, design, development, testing, and documentation of software features and solutions for Red Hat Developer Hub including AI chatbots and Model Context Protocol (MCP) servers. Provide thoughtful and prompt code reviews. Proactively utilize AI-assisted development tools for code generation, auto completion, and intelligent suggestions to accelerate development cycles and enhance code quality. Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling. Collaborate with stakeholders and team members to understand product requirements and ensure proper visibility of development efforts. Ensure non-functional requirements are met, including security, resiliency, and maintainability. Use CI/CD best practices to automate workflows. Contribute to culture of continuous improvement by sharing recommendations and technical knowledge with team members.

Requirements

Bachelor's degree (U.S. or foreign equivalent) in Computer Science or related field and one (1) year of experience in the job offered or related role.
One (1) year of experience with: AppDev in Python or GoLang; AI-assisted dev tools including Cursor and Claude Code; source code management tools including Git; and working on a team of 6 or more in an agile environment with periodic scrum ceremonies.
Experience with: CI/CD tools including Argo CD and Tekton; container platforms including OpenShift; AI technologies including RAG and MCP; and contributing to enterprise open-source software.

Responsibilities

Contribute to architecture, design, development, testing, and documentation of software features and solutions for Red Hat Developer Hub including AI chatbots and Model Context Protocol (MCP) servers.
Provide thoughtful and prompt code reviews.
Proactively utilize AI-assisted development tools for code generation, auto completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.
Collaborate with stakeholders and team members to understand product requirements and ensure proper visibility of development efforts.
Ensure non-functional requirements are met, including security, resiliency, and maintainability.
Use CI/CD best practices to automate workflows.
Contribute to culture of continuous improvement by sharing recommendations and technical knowledge with team members.