Ubique Systems

TRPD-26-05974

AI for Infrastructure Engineer (Gemini Enterprise)

Hiring an AI-for-Infrastructure engineer to help apply Google Gemini Enterprise capabilities to infrastructure/operations use cases (e.g., automation, copilots, and AI-assisted troubleshooting) in an enterprise environment. The role likely involves integrating Gemini with existing infra tooling, building secure and reliable AI workflows, and operating them in production with strong focus on access control, observability, and governance.

Position summary

Location
India
Workplace
On-site
Employment
Full Time
Experience
Minimum 6 years and Maximum 8 years
Apply now

Role overview

Why This Role Matters.

Hiring an AI-for-Infrastructure engineer to help apply Google Gemini Enterprise capabilities to infrastructure/operations use cases (e.g., automation, copilots, and AI-assisted troubleshooting) in an enterprise environment. The role likely involves integrating Gemini with existing infra tooling, building secure and reliable AI workflows, and operating them in production with strong focus on access control, observability, and governance.

Your Impact

Deliver Enterprise Value

Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.

Collaboration

Work Across Teams

Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.

Growth

Learn Continuously

Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.

Career Path

Grow With Ubique

Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.

Responsibilities

What You'll Be Doing.

Every role at Ubique contributes directly to solving meaningful business challenges for our clients.

Technology stack

Tools & Technologies.

The platforms and technologies you'll use to build modern, enterprise-grade solutions.

01

Gemini Enterprise

02

Google Gemini

03

LLM

04

GenAI

05

AI for Infra

06

Infrastructure Automation

07

DevOps

08

SRE

09

LLMOps

10

MLOps

11

APIs

12

GCP

Requirements

Skills & Experience.

We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.

Essential

Required Qualifications

Google Gemini Enterprise

AI/LLM integration for enterprise use cases

Infrastructure/Operations fundamentals (systems, networking, cloud basics)

API integration and automation

Security and access control considerations for enterprise AI

Preferred

Nice to Have

Google Cloud Platform (GCP)

MLOps/LLMOps concepts (deployment, monitoring, evaluation)

Prompt engineering and retrieval-augmented generation (RAG) basics

Observability tooling (logging/metrics/tracing)

SRE/DevOps practices (CI/CD, incident response)

What you'll gain

More Than Just A Job.

We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.

Global Exposure

Collaborate with international clients and multicultural teams on enterprise programmes.

Continuous Learning

Expand your expertise through mentoring, certifications and hands-on project experience.

Career Growth

Take ownership, develop leadership skills and grow your consulting career over time.

Flexible Working

Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.

People First

Join a supportive culture where collaboration, respect and long-term relationships come first.

Enterprise Projects

Work on meaningful technology initiatives for leading organisations across industries.

Apply

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