Operations Systems Developer - (REMOTE)

eXp World Holdings, Inc.

23h•Remote

About The Position

The Operations Systems Developer Analyst is an entry-level technical role on the Operations Automation team. This position involves working alongside senior developers to maintain, support, and improve a portfolio of AI-assisted applications, automation workflows, and operational integrations. Daily tasks include triaging bug reports, implementing small enhancements, learning code review processes under guidance, and becoming familiar with production systems and standards. The role is designed for individuals early in their technical careers who are eager to grow, emphasizing curiosity, dependability, and a willingness to learn system maintenance. Comfort with AI-assisted development tools and a genuine interest in automation are prioritized over extensive prior experience.

Requirements

High School Diploma or GED required
0-2 years experience
Exposure to at least one AI-assisted development tool: Cursor, Lovable, and/or Windsurf
Familiarity with a managed database or backend platform: Supabase or similar
Basic experience with GitHub: committing code, branching, and opening pull requests
Some understanding of how APIs and webhooks work, even if not deeply practiced
Genuine curiosity about automation, AI tooling, and how operational workflows can be improved
Proficiency with Google Workspace
Equivalent practical experience — including personal projects, open source contributions, bootcamp work, or internships — will be considered in lieu of a degree

Nice To Haves

Associate’s or Bachelor’s degree in a technical field preferred
Experience with n8n or similar workflow automation tools
Exposure to AWS or another cloud platform
Familiarity with prompt engineering or working with LLM-generated code
Real estate, transaction, or operations context is a plus but not required
HubSpot or SkySlope experience
Familiarity with AI agent orchestration frameworks (e.g., LangChain, CrewAI, or native n8n AI nodes)
Eagerness to learn code review practices and an eye for catching obvious bugs or gaps
Disciplined approach to testing: verifies that changes work as expected before handing off
Basic data security awareness: understands why sensitive data requires care and follows team guidance
Strong written communication: documents work clearly, asks good questions, and keeps stakeholders informed
Comfortable working remotely and managing own time with appropriate check-ins
Able to move forward with ambiguous requirements by identifying and resolving unknowns early
Growth mindset: receives feedback well and applies it consistently

Responsibilities

Maintain, support, and improve a portfolio of AI-assisted applications, automation workflows, and operational integrations
Triage bug reports
Ship small enhancements
Learn to review code with guidance
Build familiarity with production systems and standards
Monitor production systems for issues and flag or escalate bugs with clear, well-documented reports
Assist with triaging incoming support requests and enhancement asks from operations stakeholders
Apply tested fixes and low-risk updates to production systems under the guidance of senior developers
Help maintain system documentation, SOPs, and workflow diagrams to reflect the current state of production systems
Contribute to the team’s backlog by logging issues and enhancement requests accurately
Review code and automation workflows produced by peers, developing an eye for correctness and readability
Learn and apply the team’s coding standards, including expectations for error handling, logging, and documentation
Receive and act on constructive feedback from senior reviewers; apply learnings to improve future work
Participate in pre-deployment checklists and quality checks before systems reach production
Build and ship small features, automation workflows, and integrations under the guidance of senior developers
Use AI-assisted coding tools (Cursor, Lovable, Windsurf) to accelerate development — with an understanding of how to evaluate and validate the output
Integrate systems via APIs and webhooks with support from more experienced teammates
Translate operational requirements into working automation with appropriate support and review
Ask clarifying questions and gather requirements from stakeholders before beginning work
Communicate clearly on task status, blockers, and completion — proactively, not just when asked
Partner with teammates across Product, Technology, and Operations to understand how systems are used
Track outcomes of completed work and share results with the team
Participate in post-launch reviews and apply findings to future work
Flag recurring issues or patterns that might indicate a need for a more durable fix
Other accountabilities as assigned