Sr Engineer - Cloud Security (WIZ)

How youll make an impact

• Manage and enhance security configurations for:

• M365 Conditional Access

• M365 Identity Governance

• M365 Information Protection

• M365 Compliance Dashboard

• M365 Insider Risk

• M365 Identity Protection

• Implement policies to protect M365 environments from insider threats, identity-based attacks, and unauthorized access.

• Maintain M365 compliance dashboards and conduct regular security assessments to identify gaps.

• Define baseline security configurations for Azure workloads, including:

• Virtual Machines (VMs)

• Databases

• Storage accounts

• Identity & Access Management (IAM)

• Monitor and assess cloud assets for vulnerabilities, threats, and compliance with regulatory standards.

• Conduct regular reviews of network configurations, IAM policies, and Role-Based Access Control (RBAC) to enforce cloud governance policies.

• Strengthen cloud workload security through hardening best practices.

• Conduct regular threat detection and response exercises based on Indicators of Attack (IOAs) and Indicators of Misconfiguration (IOMs).

• Validate and assess new software, configurations, and settings to ensure security best practices.

• Implement policy-based Internet security requirements for cloud assets.

• Drive incident response coordination for critical security issues impacting regulatory compliance.

Preferred candidate profile

• 5-8 years of Cloud security is required
• Must have admin skills for most of the AWS services and managed via the AWS console. Some understanding of Azure/Google cloud services
• Networking. VPC, load-balancers, other cloud network components, how cloud network works, networking to on-premise
• Data storage , S3, SQS
• Security , security groups, KMS, guardduty
• Compute, EC2, auto-scale
• Cloud --- cloud first architectures, design and presentation
• Experience in AWS technology, especially data lakes, data warehouses, integrations, scripts, automations, Databricks, ETL/data factories, and any SQL implementations.
• Proven knowledge of virtual application delivery technologies including knowledge of disaster recovery concepts.
• Experience as a build and deployment engineer using industry-standard tools.
• Experience with deployment tools and virtual lab management.
• Understanding of industry-standard system architecture and system management tools.
• Extensive experience, education, or certification in analytics methodologies in either machine learning or artificial intelligence a plus.
• Experience in the design, deployment, and support of large, complex systems.
• Experience in analytics and/or machine learning a plus.
• AWS certifications will make candidates stand out.
• This individual will work directly with business partners and other IT team members to understand desired system requirements and to deliver effective solutions
• Cloud Development including design, coding, unit testing, triaging and implementation
• Participate and conduct code reviews with scrum teams to approve for Production deployment
• Able to work in a fast paced, demanding, and rapidly changing environment
• Knowledge of Linux or Windows systems administration
• Experience with automation/configuration management using Ansible, Chef or similar
• Strong problem-solving skills with experience in investigating network threats and anomalies.
• Excellent communication skills and ability to work with cross-functional teams
• The role demands the availability for US working hours (5PM (IST) to 3AM (IST))
• This role is Work From Office role.Role & responsibilities