Cloud Engineer - AI Services
Summary
Remote-first associate-level Cloud Engineer (1+ year) who builds, secures, and automates infrastructure on Azure and GCP, supports DevOps practices like CI/CD and monitoring, and helps develop AI agents and RAG-based applications while pairing with LLM tools.
This is a remote position.
- Think bigger – because you have the time, opportunity, and support it takes to dig deeper and tackle larger issues.
- Move faster – because you’ll be working with experienced, helpful teams who can guide you through challenges, quickly resolve issues, and show you new ways to get things done.
- Go further – because you have the opportunity to grow professionally, add new skills, and take on new responsibilities in an organization that takes a long-term view of every relationship.
- Build, secure, and maintain cloud infrastructure across multiple environments.
- Implement and manage security controls, compliance standards, and best practices.
- Work closely with engineering teams to integrate cloud services with software applications.
- Support DevOps processes including CI/CD, automation, monitoring, and deployment.
- Collaborate using modern AI tools and effectively pair program with LLMs.
- Contribute to the development and deployment of production-ready software solutions.
- Assist in building and supporting AI agents, retrieval systems, and RAG-based applications.
- Review security compliance fast and performance.
Requirements
- 1+ year of proven experience as an Azure and GCP Engineer, with a focus on infrastructure automation, deployment, and operations with good communication.
- 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.
- A self-starter with the ability to design, build, and deliver software solutions independently.
- 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 – Fuel your growth with resources dedicated to skill enhancement.
- Cutting-Edge Projects – Work on exciting projects using the latest technologies.
- Employee-Friendly Leave Policy – Enjoy ample leave options to maintain a healthy work-life balance.
- Remote-First Culture: At thinkbridge, we all work from wherever we choose but come together during set hours to collaborate. Using simple online tools, we stay connected and get great work done.
- Leave & Time-off – All leaves taken are paid leaves. And all the leave and time off are likely pre-approved leaves intended for planned vacations, personal commitments, or any other needs requiring prior approval.
- Comprehensive Medical & Term Insurance: Full coverage for you and your family peace of mind.
- Work-From-Workweek (WWW): Twice or thrice a year, we come together for One-week sprints to collaborate in person,foster stronger team bonds, and align on goals. All travel expenses are covered in the form of an allowance which is called a work week allowance.
- We organize city-wise, company-sponsored local meetups—fun-filled day outings with your colleagues!
- At thinkbridge, you get reimbursed for approved certifications and short courses that support your role.
- We embrace diversity and ensure equal opportunity for everyone, fostering an inclusive workplace where all voices are valued.