# Ellucian — Lead Software Engineer (Python, Node.js, AWS, AI/ML)

| Field | Value |
|---|---|
| **Date found** | 2026-05-23 |
| **Company** | Ellucian |
| **Role** | Lead Software Engineer (Python, Node.js, AWS, AI/ML) |
| **Location** | Dublin 4, Ireland — Hybrid |
| **Salary** | Undisclosed |
| **Job URL** | https://www.linkedin.com/jobs/view/4411968853/ |
| **Status** | New |

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## Company Research

| Field | Value |
|---|---|
| **Headquarters** | Reston, Virginia, USA |
| **Founded** | 1968 (as Collegis, rebranded to Ellucian) |
| **Employees** | ~4,354 (3,920 on LinkedIn) |
| **LinkedIn** | https://www.linkedin.com/company/ellucian/ — 108,391 followers |
| **Website** | https://www.ellucian.com |
| **Blog** | — |

- **Product:** AI-powered SaaS platform for higher education institutions covering student lifecycle management, ERP, enrollment, retention, fundraising, and workforce analytics.
- **Customers:** ~3,000 higher education institutions across 50 countries serving 21+ million students; universities and colleges globally.
- **Notable:** PE-backed (Sungard spin-off heritage); serves 50%+ of US colleges and universities; platform trained on largest higher education dataset available.

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## Job Summary

**What they do:** Ellucian builds AI-powered SaaS solutions for higher education institutions, covering the full student lifecycle from enrollment to alumni engagement.

**The role:** ⚠️ Lead role — hands-on Lead Software Engineer driving full-stack development and agentic AI integration across various product teams in a hybrid Dublin office environment.

**Core work:**
- Lead design and implementation of LLM-backed workflows, agentic systems, tool-calling patterns, and model evaluation approaches within the product platform
- Define architectural guidance, coding patterns, and conventions for consistent AI-assisted engineering across teams
- Full-stack development (Python, Node.js/TypeScript, React) with cloud-native AWS services
- Mentor engineers through design reviews, code reviews, and technical coaching

**Stack:** Python · Node.js · TypeScript · React · AWS · LLMs (multi-provider) · RAG · Agentic patterns · CI/CD

**Work style:** Dublin 4 hybrid; on-site frequency unstated — verify before applying. Permanent role.

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## Score: 55%

| Dimension | Score | Justification |
|---|---|---|
| Agentic AI depth (25%) | 60% | Genuine agentic systems work included (LLM workflows, tool-calling, agentic patterns) but embedded within a higher education SaaS platform — not the core product and not deeply agentic-native. |
| Tech fit (25%) | 62% | Python and AWS match; LLMs, RAG, and agentic patterns align. No LangChain/LangGraph/CrewAI explicitly; Node.js/TypeScript/React are peripheral for Luca. |
| Remote fit (25%) | 45% | Hybrid Dublin — on-site frequency not specified; likely 2-3 days/week based on typical enterprise hybrid. Could be acceptable if 1-2 days/week. |
| Company culture fit (15%) | 35% | Large PE-backed company serving a niche (higher education) with slower-moving enterprise culture. Not AI-native. Higher education domain is low interest. |
| IC/leadership balance (10%) | 75% | Hands-on Lead with strong IC expectations; formal lead title means some coordination overhead but primarily technical. |
| **Final (weighted)** | **55%** | Passes threshold; agentic AI work present but domain and culture are weak fits. |

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## Strengths

- Genuine LLM and agentic systems work within the role scope
- Strong Python and AWS alignment
- Dublin-based with no relocation required
- Lead IC role with mentoring — matches Luca's current seniority
- Multi-provider LLM experience explicitly valued

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## Weaknesses & Risks

- Higher education domain is uninspiring and low business impact relative to other opportunities
- Hybrid frequency unknown — verify on-site days before applying (could fail location constraint)
- Salary undisclosed; PE-backed enterprise may offer below-target compensation
- No explicit LangChain/LangGraph/CrewAI in stack; Node.js/React are not Luca's strengths
- ⚠️ Lead role — title implies coordination overhead, though description is IC-heavy
- Culture signals of a large PE-backed company: slower, more process-heavy than AI-native startups

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## Suggestions

- Verify hybrid on-site frequency before applying — if >2 days/week, skip
- Verify salary range — given PE-backed enterprise, may be at or below €110k target
- Position on the agentic AI and LLM evaluation experience from Fenergo; downplay Node.js/React
- Highlight end-to-end production AI ownership (Fenergo parser, Fenergo compliance pipeline)
- Only pursue if other options in the pipeline are sparse

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## Interview Tracker

| Stage | Date | Notes |
|---|---|---|
| Applied | | |
| Recruiter screen | | |
| Technical interview | | |
| Final round | | |
| Offer / Outcome | | |