2 days ago
Bengaluru, IndiaMid Level
Responsibilities
- Design and develop reusable Azure Policy definitions, policy initiatives, automation, and remediation workflows across managed tenants and subscriptions.
- Assess security, privacy, AI governance, and internal control requirements; identify gaps; and lead architecture, implementation, validation, and rollout.
- Embed secure defaults, configuration standards, monitoring, and automated remediation into provisioning and lifecycle processes.
- Establish engineering standards for design, code review, testing, releases, documentation, and operational readiness.
- Use telemetry and control-effectiveness measures to identify failures, reduce false positives, and accelerate remediation.
- Build solutions for tenant and subscription provisioning, renewal, decommissioning, ownership hygiene, resource governance, allowance management, and cost optimization.
- Replace manual processes with durable services, APIs, pipelines, and appropriate AI-enabled engineering approaches.
- Lead complex incidents and escalations, perform root-cause analysis, and drive corrective and preventive actions.
- Partner with service owners, security and privacy teams, platform engineering, finance, support, and business stakeholders.
- Mentor engineers and communicate technical and risk tradeoffs while influencing decisions without direct authority.
Requirements
- At least 3 years of professional software engineering experience using general-purpose languages, scripting languages, or infrastructure-as-code technologies; alternatively, a bachelor’s degree in Computer Science, Engineering, or a related field plus 1+ years of relevant experience, or equivalent experience.
- Experience leading AI-powered transformation initiatives involving agentic workflows, automation, and data-driven solutions at enterprise scale.
- Familiarity with AI governance, risk management, and responsible AI practices.
- Experience designing, developing, testing, deploying, and supporting production-quality cloud services, automation, or platform engineering solutions.
- Hands-on Microsoft Azure experience, including Azure Policy, Azure Resource Manager, identity and access management, monitoring, or subscription and tenant governance.
- Understanding of secure software development, cloud security controls, least privilege, configuration management, and automated compliance.
- Ability to diagnose complex technical issues, use telemetry to guide decisions, and lead remediation across multiple teams.
- Strong written and verbal communication skills for explaining technical and risk tradeoffs to engineering and business audiences.
- Preferred experience with C#, Python, PowerShell, TypeScript, Azure Functions, Azure DevOps, GitHub pipelines, or equivalent technologies.
- Preferred experience building Azure Policy definitions and initiatives, policy-as-code solutions, automated remediation, compliance dashboards, or control-evidence pipelines.
- Preferred knowledge of Azure landing zones, management groups, subscriptions, Entra ID, role-based access control, resource lifecycle management, and cloud cost optimization.
- Preferred enterprise-scale service operations experience, including incident response, root-cause analysis, health service monitoring, and reliability improvement.
- Preferred experience applying AI or machine learning to engineering productivity, operations, detection, or remediation.
- Relevant Azure, security, DevOps, or cloud architecture certification is preferred.
Tech Stack
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.