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About the Opportunity Job Type: Permanent Application Deadline: 31 August 2026 Title Cloud Operations Engineer Department Enterprise Technology Services (ETS) Location Gurgaon Reports To Azure Product Owner Level 4 About Us We share a commitment to making things better for clients and each other. We continually explore new technologies and new ways of working to put our clients first. Join our Azure Platform Engineering team and help build, automate and support the cloud platform that enables engineering teams across Fidelity to deliver secure, scalable and reliable applications. About your Team The Azure Platform Engineering team designs, builds and operates Fidelity's enterprise Azure platform, providing secure, automated and self-service cloud capabilities for engineering teams around the world. The team works across Azure infrastructure, networking, security, AI services, API Management, developer platforms and automation, using modern engineering practices such as Infrastructure as Code, GitOps, CI/CD and AI-assisted software development. You will become part of a collaborative global engineering team where learning, knowledge sharing and continuous improvement are part of everyday work. About your Role As a Cloud Operations Engineer, you will help build, support and improve Azure platform services used across Fidelity. Working alongside experienced platform engineers, you will contribute to automation, operational support and engineering initiatives that improve the reliability, security and usability of the Azure platform. You will develop your cloud engineering skills through hands-on experience with Azure, Terraform, Python, GitHub Actions and AI-assisted engineering tools whilst supporting production cloud services and helping engineering teams adopt the platform successfully. This role provides an excellent opportunity for someone looking to build a career in Cloud Engineering and Platform Engineering. About You You enjoy learning new technologies and solving technical problems. You have a passion for automation and enjoy writing code to improve operational efficiency. You are comfortable working collaboratively within an Agile engineering team and are keen to develop your cloud engineering capabilities. You are curious about emerging technologies, particularly AI, and enjoy exploring how they can improve engineering productivity and software delivery. Key Responsibilities Azure Platform Engineering Support the engineering and operation of Azure platform services. Assist in developing Infrastructure as Code using Terraform. Develop automation using Python and PowerShell. Contribute to GitHub repositories and GitHub Actions CI/CD pipelines. Participate in code reviews and collaborative software development. Assist with Azure platform enhancements and engineering initiatives. Operational Support Support day-to-day Azure platform operations. Investigate incidents and assist with problem resolution. Monitor Azure platform services and respond to operational alerts. Assist with platform maintenance and service improvements. Contribute to operational documentation and support procedures. Cloud Networking & Security Support Azure networking services including Virtual WAN, Firewall, Private Endpoints, DNS and Application Gateway. Assist with implementing Azure Policy, RBAC and governance controls. Learn and apply secure engineering practices across platform services. Automation & AI Use Terraform and Python to automate operational tasks. Build and maintain GitHub Actions pipelines. Use GitHub Copilot, Microsoft Copilot and ChatGPT to improve productivity. Explore Azure AI Foundry, Azure OpenAI, AI Agents and Model Context Protocol (MCP) technologies. Identify opportunities to automate repetitive operational activities using AI. Knowledge & Collaboration Maintain technical documentation and knowledge articles. Share knowledge with colleagues and contribute to Inner Source initiatives. Participate in Agile ceremonies and engineering planning sessions. Continuously improve engineering practices through learning and collaboration. Experience and Qualifications The Ideal Candidate Will Have Good understanding of Microsoft Azure fundamentals. Experience using Terraform or other Infrastructure as Code tools. Experience writing Python or PowerShell scripts. Familiarity with GitHub, Git version control and GitHub Actions. Basic understanding of CI/CD concepts. Good troubleshooting and analytical skills. Strong communication and teamwork skills. A passion for cloud engineering and automation. AI & Modern Engineering Experience using GitHub Copilot, Microsoft Copilot, ChatGPT or similar AI .
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.