Sr Cybersecurity Architect - INTL India
Insight Global, Wilmington, DE, United States
Job Description
We are seeking a Sr Security Architect to lead security architecture and engineering across multi-cloud, AI/ML, DevSecOps, and enterprise detection/response to reduce risk at scale. This individual will define secure reference architectures, automate controls, and partner with SOC and engineering teams to improve resilience and incident readiness.
Key Responsibilities
• Design secure multi-cloud network and workload architectures (segmentation, routing, security controls, and secure connectivity).
• Implement Zero Trust and least-privilege access through strong identity governance and access control patterns (e.g., RBAC/ABAC and entitlement oversight).
• Secure cloud-native services (serverless, containers/Kubernetes, and managed platforms) using hardened configurations, policy enforcement, and monitoring.
• Architect data protection controls for data in transit and at rest, including encryption, key management patterns, and access boundaries.
• Design and mature detection and response capabilities across endpoint, identity, cloud, and SaaS using SIEM/SOAR/EDR/XDR patterns.
• Develop incident management architecture, including playbooks, escalation paths, and automated response actions to reduce MTTD/MTTR.
• Lead or support red/purple team exercises and assessments, translating findings into prioritized remediation and durable architectural fixes.
• Build security automation with scripting and Infrastructure-as-Code to deliver secure-by-default, repeatable deployments.
• Secure AI/ML pipelines, models, and APIs, including whitebox testing against emerging AI attack methods and monitoring for leakage/anomalies.
• Provide security advisory and program leadership by translating technical risk into business impact and driving cross-functional execution.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
• 8+ years of cybersecurity engineering/architecture experience delivering enterprise-scale security outcomes.
• Expertise designing secure cloud architectures and identity/IAM controls in at least one major cloud platform.
• Experience designing or operating threat detection and incident response capabilities using SIEM/SOAR/EDR/XDR concepts.
• Strong automation skills using Python/PowerShell/Bash and Infrastructure-as-Code to implement security controls at scale.
• Ability to communicate clearly with engineers and executives and drive alignment across teams through influence. • Experience securing Kubernetes/container ecosystems, including runtime controls, admission/policy enforcement, and supply chain protections.
• Experience securing serverless and event-driven architectures with least-privilege, secrets management, and robust telemetry.
• Hands-on AI security experience, including prompt-injection defenses, model/API protections, and monitoring for exfiltration or unsafe outputs.
• Experience embedding SAST/DAST/SCA and policy-as-code controls into CI/CD and SSDLC workflows.
• API security design experience aligned to OWASP-style best practices and abuse prevention patterns.
• Experience designing enterprise network/remote access security (firewalls, secure gateways, VPN/ZTNA, IDS/IPS) with segmentation.
• Experience integrating threat intelligence into detection pipelines and operationalizing use-cases aligned to ATT&CK-style frameworks.
• Experience securing collaboration platforms (e.g., email, file sharing, chat) with MFA, conditional access, and DLP controls.
• Familiarity with common security frameworks and risk methods (e.g., NIST/ISO-style controls, gap assessments, remediation planning).
• Relevant certifications (security, cloud, IR, or offensive) are a plus.
We are seeking a Sr Security Architect to lead security architecture and engineering across multi-cloud, AI/ML, DevSecOps, and enterprise detection/response to reduce risk at scale. This individual will define secure reference architectures, automate controls, and partner with SOC and engineering teams to improve resilience and incident readiness.
Key Responsibilities
• Design secure multi-cloud network and workload architectures (segmentation, routing, security controls, and secure connectivity).
• Implement Zero Trust and least-privilege access through strong identity governance and access control patterns (e.g., RBAC/ABAC and entitlement oversight).
• Secure cloud-native services (serverless, containers/Kubernetes, and managed platforms) using hardened configurations, policy enforcement, and monitoring.
• Architect data protection controls for data in transit and at rest, including encryption, key management patterns, and access boundaries.
• Design and mature detection and response capabilities across endpoint, identity, cloud, and SaaS using SIEM/SOAR/EDR/XDR patterns.
• Develop incident management architecture, including playbooks, escalation paths, and automated response actions to reduce MTTD/MTTR.
• Lead or support red/purple team exercises and assessments, translating findings into prioritized remediation and durable architectural fixes.
• Build security automation with scripting and Infrastructure-as-Code to deliver secure-by-default, repeatable deployments.
• Secure AI/ML pipelines, models, and APIs, including whitebox testing against emerging AI attack methods and monitoring for leakage/anomalies.
• Provide security advisory and program leadership by translating technical risk into business impact and driving cross-functional execution.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
• 8+ years of cybersecurity engineering/architecture experience delivering enterprise-scale security outcomes.
• Expertise designing secure cloud architectures and identity/IAM controls in at least one major cloud platform.
• Experience designing or operating threat detection and incident response capabilities using SIEM/SOAR/EDR/XDR concepts.
• Strong automation skills using Python/PowerShell/Bash and Infrastructure-as-Code to implement security controls at scale.
• Ability to communicate clearly with engineers and executives and drive alignment across teams through influence. • Experience securing Kubernetes/container ecosystems, including runtime controls, admission/policy enforcement, and supply chain protections.
• Experience securing serverless and event-driven architectures with least-privilege, secrets management, and robust telemetry.
• Hands-on AI security experience, including prompt-injection defenses, model/API protections, and monitoring for exfiltration or unsafe outputs.
• Experience embedding SAST/DAST/SCA and policy-as-code controls into CI/CD and SSDLC workflows.
• API security design experience aligned to OWASP-style best practices and abuse prevention patterns.
• Experience designing enterprise network/remote access security (firewalls, secure gateways, VPN/ZTNA, IDS/IPS) with segmentation.
• Experience integrating threat intelligence into detection pipelines and operationalizing use-cases aligned to ATT&CK-style frameworks.
• Experience securing collaboration platforms (e.g., email, file sharing, chat) with MFA, conditional access, and DLP controls.
• Familiarity with common security frameworks and risk methods (e.g., NIST/ISO-style controls, gap assessments, remediation planning).
• Relevant certifications (security, cloud, IR, or offensive) are a plus.