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.

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in\-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

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