We Are:
Accenture Learn Vantage helps organizations transform how their people learn and work. We partner with enterprise clients to design and deliver high-quality, scalable, outcome-driven learning that builds the skills their workforces need. Udacity, now part of Accenture Learn Vantage, brings deep expertise in technical upskilling through hands-on, project-based online learning.

Together we build learning experiences that help people gain in-demand skills in cloud, software development, AI, and more.

You Are:
You are a technical problem solver who is good with people on their worst day. When a lab breaks in the middle of a live class, you work the problem calmly while the instructor keeps teaching, and you treat a frustrated student as someone to help rather than a ticket to close.
You know cloud environments well enough to tell a misconfigured template from a learner who missed a step. You already write code with AI assistants as a matter of habit, not novelty, and you reach for them to build, debug, and document. You are self-directed with unfamiliar tools, comfortable figuring out a system nobody has documented yet.

You communicate clearly in writing across time zones and cultures, where tone carries more weight because nobody can see your face.

The Work:
Join the Labs team and keep instructor-led training running for learners worldwide. As a Lab Support Specialist, you’ll be the direct point of contact when an environment fails during a live class, and you’ll build and validate lab environments before they ever reach a classroom.

You’ll own whether the labs work when it counts, and you’ll help move the team from manual setup toward Infrastructure as Code.

Support live instructor-led classes, resolving lab setting issues in real time for instructors and students while the class keeps moving.




Build and maintain QA instances of new labs ahead of course delivery, validating that environments match the course design intent.
Reproduce and diagnose reported lab failures, fixing what you can and escalating the rest with explicit reproduction steps.
Contribute to the team’s move to Infrastructure as Code, using AI-assisted development to speed up template creation, testing, and documentation.
Use AI coding assistants such as Claude, ChatGPT, Gemini, or Microsoft 365 Copilot as a standard part of how you build, debug, and document.
Work directly with courseware design, QA, and lab engineering colleagues to take labs from concept to classroom as one team rather than a series of handoffs.
Document recurring failures and their fixes so the same issue does not reach the next class.
In this role, you’ll report into the Tech Delivery and Operations Excellence Manager.

This role is based in India and supports classes across non-Americas time zones.

Here’s What You Need: Minimum 3 years of experience in technical operations, infrastructure, or Dev Ops.

Minimum 3 years of experience applying Infrastructure as Code with AWS Cloud Formation, Azure ARM or Bicep, or Google Cloud Deployment Manager.
Minimum 3 years of hands-on experience with AWS, Azure, or Google Cloud, including tenant or account administration.
Minimum 1 year of experience using AI coding assistants such as Claude, ChatGPT, Gemini, or Microsoft 365 Copilot on production technical work.
Minimum 3 years of experience supporting instructors, students, or customers in a live or time-sensitive support role.
Minimum 3 years of experience with version control tools like Git.
Professional working proficiency in written and spoken English, including clear written communication with people in other time zones.

Bachelor’s degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years’ work experience)

📌 System Development Specialist (Noida)
🏢 Accenture
📍 Noida