Software Engineering Intern, Developer Productivity

This position will have the opportunity to work on impactful projects and gain practical experience in software development. Specifically this role focuses on developer-productivity engineering building the internal tools automation and AI agents that change how every Bear engineer ships software. The individual will collaborate with a team of experienced engineers while utilizing cutting-edge AI coding agents to build reliable scalable solutions in a monorepo system. This internship is designed for students who are passionate about software engineering and eager to understand the intersection of technical implementation engineering-team impact and measurable business value. Above all we are looking for someone with genuine grit who treats a stubborn bug or an ambiguous spec as a problem to be cracked not avoided and who works alongside AI coding agents by asking sharp persistent questions until every requirement and edge case is crystal clear.

Key Duties/Responsibilities:

• Engineering-Productivity Software Development
  • Contribute to the design development and testing of internal tools and services with a specific focus on automation that improves how Bear engineers build software bug-triage and routing agents software development workflow and the pipelines behind the engineering productivity dashboard.
  • AI-Assisted Engineering: Utilize AI coding agents to accelerate development probing them with follow-up questions until the design trade-offs and edge cases are crystal clear rather than accepting a black-box answer while ensuring the creation of reliable and robust software.
  • Write clean efficient and well-documented code with configuration-driven (YAML) rules that engineers can tune safely.
• Systems Integration & Problem Solving
  • Analyze technical challenges and propose creative solutions that integrate Jira Slack GitHub and internal identity/HR data sources.
  • Adopt the engineers-eye (end-user) perspective so that every tool provides tangible value and a seamless experience for the teams that depend on it.
  • Reconcile inconsistent cross-system data and design for correctness with tests fail-safe behavior and coverage metrics that reveal silent misses.
  • Show relentless follow-through on hard problems keep digging through failing tests confusing errors and dead ends until the root cause is found and the problem is genuinely solved.
  • Demonstrate flexibility by actively seeking feedback from stakeholders and adapting project direction to maximize impact.
• Collaboration & Growth
  • Work closely with team members and cross-functional teams to execute projects contributing directly to the monorepo (Bazel-based).
  • Embrace a learning mindset and actively seek opportunities to expand your technical skills particularly in AI-assisted development workflows.
  • Participate in code reviews to ensure code quality and collaborate with team members to overcome obstacles.
• Documentation
  • Create and maintain technical documentation including design proposals implementation notes operations runbooks and user guides that let the next person run and fix what you built.
    

Supervisory Responsibilities:

• None.

Required Skills/Abilities/Qualifications:

• Grit & Persistence: A never-give-up approach to hard problems you stay with a stubborn bug or a murky requirement work the problem from multiple angles and see it through to a real solution instead of a workaround.
• Inquisitiveness with AI Agents: Skill at working with AI coding agents asking sharp persistent follow-up questions until the requirements design and rationale are crystal clear and never shipping something you cant explain.
• AI Engineering Proficiency: Demonstrated ability to build reliable software using AI coding agents.
• Technical Fundamentals: Strong programming skills in one or more languages such as Python Go TypeScript C or others (Python proficiency preferred for this role) and an understanding of computer science fundamentals data structures and algorithms.
• Correctness Mindset: Attention to edge cases and failure modes and the habit of writing tests you actually rely on.
• Communication: Clear written communication able to turn an ambiguous problem into a short design doc and explain a trade-off in plain language.
• Soft Skills: Excellent communication and collaboration skills with the ability to work effectively in a team setting.

Preferred Skills/Abilities (Big Plus):

• System Integration: Prior experience integrating systems with third-party APIs (Slack GitHub Jira or similar) or building small automation/bots.
• CI/CD & Build Systems: Familiarity with CI/CD GitHub Actions or build systems (Bazel a plus).
• Data Wrangling: Experience reconciling data across inconsistent sources.
• Domain Interest: Genuine interest in developer-productivity tooling and AI-assisted engineering.

Education/Experience:

• Currently pursuing (or recent grad of) a Bachelors or Masters degree in Computer Science Software Engineering or a related field.

Physical Requirements:

• Prolonged periods of sitting/standing at a desk and working on a computer.
• The employee is routinely required to sit stand walk; talk and hear; and use hands to keyboard.
• Specific vision abilities required by this job include close vision color vision peripheral vision depth perception and ability to adjust focus.
• Ability to lift 20 lbs.