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Senior Cloud Engineer Location: Gurugram (Hybrid Local to NCR Preferred) Employment Type: Full-Time Interview Mode: Virtual Notice Period: Immediate to 15 Days Job Description We are seeking a skilled Senior Cloud Engineer to design, deploy, and maintain secure, scalable cloud infrastructure supporting data, AI, and DevOps operations. The ideal candidate will have hands-on experience with Terraform, Google Cloud Platform (GCP), and modern CI/CD practices. Key Responsibilities Design, deploy, and maintain cloud infrastructure using Terraform and GCP best practices. Architect, implement, and manage network configurations, including secure setups for platforms like Workbench. Develop and manage new project architectures, ensuring high availability, scalability, and cost efficiency. Support and optimize Vertex AI applications, including pipeline automation, resource management, and integration with other GCP services. Collaborate with cross-functional teams to deliver end-to-end cloud solutions aligned with business goals. Experienced in DevOps skills. Implement and maintain CI/CD pipelines to support rapid and reliable application delivery. Monitor, troubleshoot, and optimize cloud environments for performance, reliability, and security. Drive DevOps operations, enhancing deployment automation and infrastructure resilience. Maintain up-to-date documentation of infrastructure and operational procedures. Valuable understanding of Data Product development. Qualifications Bachelors degree in Computer Science, Engineering, or related field. Proven experience with Terraform and Infrastructure-as-Code (IaC) principles. Strong understanding of GCP services including Compute Engine, VPC, Cloud Storage, Vertex AI, Cloud Build, etc. Experience with network architecture and security configuration in GCP. Practical knowledge of CI/CD tools such as Jenkins, GitLab CI, or similar. Familiarity with containerization technologies like Docker and Kubernetes is a plus. Excellent problem-solving and collaboration skills. Preferred Experience Google Cloud Professional Cloud Engineer certification or equivalent with 7+ years of experience. Prior experience building AI/ML pipelines and MLOps workflows. Strong background in scripting languages such as Python and Bash. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.