OASIS Storage Integrations Developer - Python

Responsibilities:

• Develop Python-based components for OASIS storage integrations, including individual MCP tools, vendor REST API integrations, and Pydantic data models under the direction of senior team members.
• Write, test, and debug code for assigned features within the team's agents, MCP tool servers, and FastAPI services.
• Collaborate with team members to meet project goals, taking direction from senior team members on architectural and design decisions.
• Participate in design discussions and code reviews; submit pull requests with appropriate test coverage, changelog entries, and version increments per team conventions.
• Participate in troubleshooting and resolving technical issues across the agent-MCP server-vendor API stack under the guidance of senior engineers.
• Use structured logging and OpenTelemetry traces to support troubleshooting and incident analysis.
• Learn and apply agentic AI patterns (LLM tool calling, ReAct graphs, RAG, prompt engineering) to assigned work; build proficiency with the OASIS SDK ecosystem and team coding standards.
• Stay updated on emerging technologies and best practices; seek opportunities for professional development.
• Contribute to knowledge sharing, onboarding documentation, and team learning as you ramp.
• Use Claude Code (or comparable AI coding assistants) as a routine part of the development and documentation workflow.

Requirements:

• Bachelor's degree in Computer Science or equivalent combination of education and experience.
• Typically 3+ years of relevant software engineering experience, with at least 1 year in a similar backend, API, or software development role.
• Working proficiency in Python, including async/await patterns, type hints, and virtual environments.
• Working knowledge of REST APIs, JSON, and HTTP fundamentals.
• Proficient with Git and Git-based code review workflows on GitHub or GitHub Enterprise.
• Comfortable working in a Linux/WSL terminal and writing or modifying bash scripts.
• General awareness of AI/LLM concepts (prompt engineering, tool calling) direct exposure is a plus; willingness to learn is required.
• Solid coding and debugging skills with eagerness to grow.
• Effective communication and collaboration abilities.
• Willingness to learn and gain practical experience in a complex multi-service stack.

Other Qualifications:

• Hands-on experience with FastAPI, Pydantic, async programming, or REST API integration is a plus.
• Exposure to agent frameworks (LangGraph, LangChain) or agent integration standards (MCP, A2A) is a plus.
• Exposure to AWS (especially Bedrock), OpenTelemetry, or structured logging is a plus.
• Familiarity with enterprise storage concepts (volumes, snapshots, replication) is a plus.
• Advanced degree in a related field is a plus.
• Relevant certifications or training are a plus.