• Build and enhance backend services and internal tools (primarily in Java and JavaScript/TypeScript).
• Develop features that improve observability: metrics, logs, traces, dashboards, alerts, and runbooks.
• Create automation that reduces operational toil (e.g., workflows for incident response, diagnostics, and remediation).
• Integrate with common monitoring and ticketing systems via APIs; design clean, maintainable interfaces.
• Contribute to AI-enabled operations features (e.g., summarizing incidents, recommending next-steps, anomaly triage, or assisted diagnostics) while considering data privacy and security.
• Write unit/integration tests and help improve CI/CD quality signals so manual testing can focus on high-risk areas.
• Participate in an agile team model: scope tasks, propose solutions, implement, and communicate progress.
• Other duties as assigned and required.

Required Qualifications

• Currently enrolled in a Master’s degree program in Computer Science, Software Engineering, or related field.
• 1-2 years of hands-on coding experience (school, personal, or internship) building software in at least two languages; must include Java and JavaScript (or TypeScript).
• Strong fundamentals: data structures, debugging, version control (Git), and writing readable, maintainable code.
• Comfortable working with RESTful APIs and JSON; familiarity with basic networking concepts is a plus.
• Clear written and verbal communication skills; ability to collaborate across engineering and operations stakeholders.
• Working knowledge of modern AI concepts (e.g., LLMs, embeddings, retrieval, prompt design, evaluation).
• Interest in applying AI to monitoring and operations use cases (triage, summarization, correlation, recommendation).
• Awareness of responsible AI considerations: security, privacy, data handling, hallucinations, and validation/guardrails.