Burlington, Karnataka, United States
Job Details
Full Job Description
Overview:
Implement security-in-depth for cloud application and data platforms such as Kubernetes, Container Registries, Databases, API Gateways, and other services
Operationalize security products to improve time-to-detect and time-to-respond metrics
Develop scripts, workflows, and policies to automate security posture management
Collaborate across functions to develop security reference architectures and standards
Harden network configurations for technologies such as CDNs, API Gateways, Kubernetes Cluster Networks, Next-Gen Firewalls, and Application Firewalls
Work directly with the SOC to onboard/tune content and coordinate engineering changes
Lead prototyping activities and conduct comparative analysis of new Azure and 3rd party solutions being considered for adoption
Develop assets to help teams gain better visibility into the security posture of resources deployed to the cloud, including custom policies, scripts, queries, and dashboards
Balance pragmatism with vision; continually assess the security posture of cloud applications and deliver improvements to the team’s tools, processes and codebase
Contribute documentation & collaboration site content to drive knowledge sharing
Ensure that new cloud solutions properly implement security controls as standards dictate
What we value
Applied expertise in designing/implementing secure platforms for applications and data
A thorough understanding of multiple security domains and experience deploying complex enterprise solutions in public clouds
Thorough understanding of both Windows and Linux-based infrastructure
A passion for learning about emerging technologies and sharing knowledge
Experience documenting technology standards, operational procedures, and requirements
Education & Preferred Qualifications
Bachelor's degree in a technical or analytical field required, Master’s preferred
Authoritative knowledge and experience in industry standard container management platform
Five years of cloud deployment experience, preferred with Azure experiences
Demonstrated cloud deployment experiences using standard CI/CD pipeline
Working experience with highly segmented networks in public and private clouds.
Hands-on experience with Infrastructure as Code technologies in Azure or any other cloud platform
Experience in cloud monitoring using tools like Datadog, ELK stack, Log Analytics, or Splunk
Excellent communication, documentation and troubleshooting skills
Strong analytical and troubleshooting skills.