Cloud Engineer – AI Services

Job not on LinkedIn

🔥 7 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟢 Junior

☁️ Cloud Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

thinkbridge

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

thinkbridge is a global digital product development and technology advisory firm that helps growth-stage and mid-market companies modernize their tech stacks, build customer-facing platforms, and adopt AI and automation to accelerate value and scale. They offer end-to-end services including digital and technology strategy, GenAI consulting, application modernization, modern application development, DevOps/ML Ops, integrations, automation and 24x7 maintenance — with industry-focused work in financial services, energy/utilities, health and staffing. thinkbridge emphasizes fast, outcome-driven delivery using proprietary accelerators and a predictable pricing model.

📋 Description

• Build, secure, and maintain cloud infrastructure across multiple environments • Implement and manage security controls, compliance standards, and best practices • Integrate cloud services with software applications in collaboration with engineering teams • Support DevOps processes including CI/CD, automation, monitoring, and deployment • Collaborate using modern AI tools and pair program with LLMs • Contribute to development and deployment of production-ready software solutions • Assist in building and supporting AI agents, retrieval systems, and RAG-based applications • Review security compliance and performance • Participate in one-week in-person sprints two or three times per year • Attend company-sponsored local meetups

🎯 Requirements

• 1+ year of proven experience as an Azure and GCP Engineer • Experience with infrastructure automation, deployment, and operations • Understanding of cloud security principles and security compliance frameworks • Experience in Infrastructure, Cloud Security, and DevOps practices • Ability to work collaboratively and leverage LLMs/AI-assisted development tools • Strong problem-solving and analytical skills • Ability to design, build, and deliver software solutions independently • Good communication skills • Ability to write software and deploy applications to production environments • Experience building AI Agents • Familiarity with Retrieval-Augmented Generation (RAG) systems • Knowledge of Retrieval Agents and AI-powered workflows

🏖️ Benefits

• Dedicated Learning & Development Budget • Cutting-Edge Projects using the latest technologies • Employee-Friendly Leave Policy with ample leave options • All leaves and time off are paid leaves • Remote-First culture and flexible location • Comprehensive Medical & Term Insurance for employee and family • Work-From-Workweek allowance covering travel expenses for in-person one-week sprints • Company-sponsored local meetups • Reimbursement for approved certifications and short courses • Inclusive workplace and equal opportunity • Wellness programs • Mental health resources • Ergonomically designed workspaces • Flexible Work Hours