Sr Analyst II: AI Systems Engineer - Storage & Backup

Job Description:

Essential Job Functions

· Design, code, and test Python-based components for OASIS storage/backup integrations — agents, MCP tool servers, vendor REST API connectors, and Pydantic models — focusing on developing and maintaining critical components of the team’s capabilities.

· Develop FastAPI/Uvicorn services exposing JSON-RPC 2.0, REST, and SSE-streamed endpoints, and consume vendor REST APIs via async HTTP clients (httpx, aiohttp).

· Implement and tune LangGraph ReAct agents that orchestrate LLM-driven tool calls against MCP servers, including parallel tool execution and RAG-backed knowledge retrieval.

· Take ownership of challenging technical tasks and collaborate with senior engineers on architectural decisions for your area.

· Actively participate in design discussions and code reviews; produce clean pull requests with appropriate test coverage, changelog entries, and version increments per team conventions.

· Debug and resolve complex production issues across the agent → MCP server → vendor API stack using structured logs and OpenTelemetry traces.

· Author and maintain unit, integration, and end-to-end tests; contribute to CI workflows (GitHub Actions, CodeQL, PR gating).

· Stay current with emerging agentic AI patterns (LLM tool calling, ReAct, RAG, prompt engineering); research and propose innovative solutions for the team’s integration portfolio.

· Assist in mentoring and guiding more junior team members (Sr Analyst III and below); share knowledge and contribute to onboarding documentation.

· Use Claude Code (or comparable AI coding assistants) as a routine part of the development and documentation workflow.

Basic Qualifications

· Bachelor’s degree in Computer Science or equivalent combination of education and experience.

· Typically 4+ years of relevant software engineering experience, with at least 1+ years in a similar backend, API, or integration-focused role.

· Strong Python proficiency, including async/await patterns, type hints, virtual environments, and the FastAPI / Pydantic v2 / httpx ecosystem.

· Solid working knowledge of REST APIs, JSON, and HTTP fundamentals (auth headers, status codes, streaming).

· Proficient with Git and Git-based code review workflows on GitHub or GitHub Enterprise.

· Comfortable working in a Linux / WSL terminal, including reading and writing bash scripts.

· Working familiarity with AI/LLM concepts: prompt engineering, tool calling, retrieval-augmented generation.

· Proficiency in coding and debugging complex software components.

· Strong problem-solving and analytical skills.

· Effective written and verbal communication; effective collaboration in a distributed team.

Other Qualifications

· Hands-on experience with agentic AI frameworks and integration standards (LangGraph, LangChain, MCP, A2A) is a strong plus.

· Experience with AWS (especially Bedrock) and OpenTelemetry-based observability or structured/JSON logging frameworks is a plus.

· Familiarity with enterprise storage and backup technologies (e.g., NetApp ONTAP, Dell PowerProtect, Veeam, Commvault, Cohesity, Rubrik) — willingness to learn acceptable.

· Exposure to GraphQL or async database drivers (asyncpg, oracledb) is a plus.

· Advanced degree in a related field is a plus.

· Relevant cloud, storage, or backup certifications are a plus.

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