JobgetherPosted today

IT Softwaree Engineer

IT Softwaree Engineer at Jobgether scores 65 out of 100 on AI centrality, which makes it a Level 3 role on this board.

Remote (US)seniorFull-time

AI in this role

Design and maintain cloud data pipelines supporting GenAI solutions and RAG applications on Google Cloud.

google-cloud

ragdata-engineeringdata-governancemlops

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an IT Software Engineer - Data based in the United States.

This remote role owns the data foundation supporting advanced GenAI solutions for higher education and public-sector clients.
You will design, build, and maintain reliable cloud data pipelines that make sensitive client information usable for AI applications.
The role combines data engineering, governance, classification, security, and architecture in a highly collaborative environment.
You’ll work primarily with Google Cloud technologies, supporting analytics, retrieval-augmented generation (RAG), and agentic AI use cases.
A key part of the role is identifying data quality, access, privacy, and compliance risks before they affect production systems.
You’ll partner with engineering, delivery, operations, and client technical teams to turn scoped requirements into scalable solutions.
The position offers an opportunity to contribute to reusable data and AI capabilities while working in a distributed, fast-evolving technology environment.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

RagData EngineeringData GovernanceMlopsGoogle Cloud

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where data governance was part of your work. What did you do?
Tell me about a project where mlops was part of your work. What did you do?
Walk me through how you've used Google Cloud in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Rag, Data Engineering, Data Governance, Mlops, and Google Cloud. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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