Bhupender Singh
Open to work2 years experienceCloud Engineer
Cloud Engineer specializing in Azure, DevOps, IaC, and AI-driven automation.
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Skills & Technologies
26 skillsGitHub Activity Evidence
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Work Experience
Systems Engineer – Cloud and DevOps
MAQ Software
- Managed Azure platform operations across 200+ resource groups and 6 subscriptions, ensuring reliability, governance, and cost efficiency for enterprise workloads.
- Developed reusable Terraform IaC modules for compute, networking, RBAC, and policy enforcement, reducing manual provisioning effort by 60% and ensuring standardized deployments.
- Built and optimized CI/CD pipelines (Azure DevOps & GitHub Actions) for infrastructure deployments with validation gates and staged rollouts, reducing release time by 40%.
- Automated operational workflows using PowerShell and Python, eliminating repetitive tasks and improving execution efficiency by 60%+.
- Implemented Azure Policy-driven governance, enforcing mandatory tagging (including deletion ETA) across all resource groups, significantly reducing orphaned and idle resources.
- Applied SRE practices (SLIs/SLOs, incident reviews, runbooks) to improve platform reliability and reduce recurring production incidents, achieving consistent SLA adherence.
- Monitored and troubleshot infrastructure using Azure Monitor, Log Analytics, and KQL dashboards, reducing MTTR by 30% through proactive alerting and structured debugging.
- Led cost optimization initiatives by identifying underutilized resources and enforcing lifecycle controls, achieving 20–25% reduction in cloud spends around $40,000 to $50,000 per annum.
- Partnered with application teams to review infrastructure requests and recommend optimized SKUs/tiering, preventing overprovisioning and aligning with performance and cost requirements.
Projects
FinOps Cost Optimization & Automation Platform
- Designed and enforced a mandatory tagging strategy using Azure Policy, including deletion ETA, eliminating uncontrolled resource sprawl and improving lifecycle governance.
- Built automated decision workflows to evaluate resources nearing expiry and trigger retention or cleanup actions, reducing idle resource costs significantly.
- Introduced a review framework for infrastructure requests, validating SKU/tier selection and leveraging AI-based recommendations to identify cost-efficient alternatives.
- Automated end-to-end cost reporting pipeline by exporting Azure cost data to Storage and integrating with Power BI dashboards, eliminating 2–3 hours of weekly manual effort and enabling real-time cost visibility.
Agentic AI–Driven Azure Infrastructure Automation
- Replaced manual Azure Portal-based provisioning with an agentic AI-driven automation framework using Azure MCP and Antigravity, enabling infrastructure deployment via plain English prompts.
- Built reusable skills-based automation (skills.md) integrating Terraform modules for provisioning resources, configuring RBAC/permissions, and enforcing governance policies.
- Automated end-to-end workflows including resource deployment, access configuration, and policy enforcement, eliminating repetitive UI- based tasks.
- Reduced provisioning and configuration time by 50%+, improving consistency, scalability, and developer experience across repeated infrastructure requests.
- Standardized deployments by reusing existing Terraform configurations or dynamically generating new ones, ensuring alignment with governance and security best practices.
Leaderboard Standings
Leaderboard Position Pending
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Assessment Highlights
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AI Collaboration Score
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Role Compatibility Profile
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Achievements
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About Details
Professional Bio
Azure Cloud & DevOps Engineer with experience in building and operating enterprise-scale Azure platforms. Strong in Terraform, CI/CD, and automation, with proven impact in cost optimization, governance, and SRE-driven reliability. Hands-on in enforcing cloud best practices.
B.Tech in Computer Science and Engineering
Dr. A. P. J. Abdul Kalam Technical University ( - 2024)