We are looking for a Sr Cloud Security Engineer with deep expertise in Google Cloud Platform (GCP) security and a strong understanding of AI/ML security and MLOps.

The ideal candidate will design, implement, and manage security controls across cloud infrastructure, containerized workloads, and AI systems, while ensuring compliance with industry and regulatory standards.

Title : Sr Cloud Security Engineer.

Location : Hyderabad.

Key Responsibilities :

- Design and implement secure GCP architectures, including network, identity, and data protection controls.

- Own and manage IAM design and access governance, including workload identity federation and least-privilege models.

- Implement and manage GCP security services such as : VPC Service Controls, Cloud Armor, Cloud Security Command Center (SCC).

- Lead incident detection and response activities, including root cause analysis and remediation.

- Integrate and manage SIEM/SOAR solutions (Chronicle, Splunk, or SCC integrations) for threat detection and monitoring.

- Perform threat modeling, security assessments, and forensics in GCP environments.

- Secure containerized workloads with a focus on:GKE hardening, Binary Authorization, Container image scanning.

- Collaborate with ML and platform teams to implement AI/ML security best practices, including secure MLOps pipelines.

- Conduct or support penetration testing and red teaming exercises, especially for APIs and AI/ML endpoints.

- Ensure compliance with SOC 2, ISO 27001, GDPR, HIPAA, and AI ethics/security frameworks.

- Work with Assured Workloads and enforce data residency and sovereignty controls where required.

Required Technical Skills :

- Mastery of Google Cloud security architecture, including VPC Service Controls, Cloud Armor, Cloud Security Command Center (SCC), and workload identity federation.

- Strong IAM design experience with least-privilege and access governance models.

- Experience in incident detection, investigation, and response in cloud environments.

- Proficiency with SIEM/SOAR platforms such as Google Chronicle, Splunk, or SCC integrations, including threat modeling and forensics in GCP.

- Solid understanding of AI/ML security concepts and MLOps security practices.

- Hands-on experience with SOC 2, ISO 27001, GDPR, HIPAA, and AI ethics compliance frameworks.

- Familiarity with Google Assured Workloads and data residency controls.

- Knowledge of at least one programming language such as Python, Go, or equivalent.

- Experience with Bash scripting and infrastructure automation using Terraform and Helm.

- Understanding of container-level security, including GKE hardening, Binary Authorization, and container image scanning.

- Experience performing penetration testing or red teaming, particularly targeting APIs or AI/ML endpoints.

- Familiarity with AWS and/or Azure security fundamentals.

If you're ready to make an impact and help build an elite tech team, apply now! .

About Techolution :

Techolution is a leading innovation AI Product development company on track to become one of the most admired brands in the world for "innovation done right".

Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better human experience for the communities they serve.

With that, we are now fully committed to helping our clients build the enterprise of tomorrow by making the leap from Lab Grade AI to Real World AI.

In 2019, we won the prestigious Inc.

500 Fastest-Growing Companies in America award, only 4 years after its formation.

In 2022, Techolution was honored with the Best-in-Business title by Inc. for Innovation Done Right.

Most recently, we received the AIConics trophy for being the Top AI Solution Provider of the Year at the AI Summit in New York.