Sr Analyst II: AI Systems Engineer - Storage & Backup

Job Description:

·         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.

·         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.

·         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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