Senior Security Engineer – AI, Cloud

Location : Remote (India)Type : Full-TimeCompany : Symosis SecurityAbout Symosis SecuritySymosis is a cybersecurity consulting firm purpose-built for the AI-native, cloud-first era. We help public-sector and enterprise clients mature their security operations through managed services, offensive testing, governance, and automation. We’re expanding our MSSP practice and looking for a hands-on leader to own SOC delivery, client engagement, and operational maturity.The RoleWe are seeking adeeply technical Security Engineerwith strong experience inapplication, cloud, and AI/ML securityto perform threat modeling, architecture reviews, and third-party risk assessments for large-scale SaaS and AI platforms.The ideal candidate is hands-on, can interpret complex architectures like AI/ML data flows (e.g., training, inference, telemetry, and de-identification pipelines), and is comfortable coding or automating inPython, Azure, or API security environments .What You’ll DoDevelop and maintaindetailed threat modelsfor cloud and AI/ML systems, including data flows, trust boundaries, and STRIDE analysis.Conductarchitecture and design reviewsfor 3rd-party integrations and SaaS systems.PerformAPI security reviews , penetration tests, and vulnerability assessments of web and cloud workloads.Reviewmachine learning and AI system architecturesfor data leakage, bias, model inversion, and telemetry retention risks.Evaluatecloud security configurations(Azure, AWS, GCP) and enforce least-privilege, encryption, and compliance standards.Supportsecurity automationand build tools to streamline posture management and integration validation.Collaborate with engineering and product teams to design secure integration patterns and risk mitigation strategies.Authortechnical threat models and security documentationsimilar to structured reviews for AI/ML and SaaS applications.What We’re Looking For5–8 years of SOC or NOC experience, preferably in an MSSP environment.Hands-on expertise withCrowdStrike FalconandRapid7 InsightIDR/InsightVM(certifications preferred or willing to complete within 30 days).Proven ability to operate inTier-2 analyst or shift leadcapacity.Strong understanding of NIST CSF, MITRE ATT&CK, and incident response workflows.Excellent written and spoken English; experience supportingU.S. clients across EST/PST .Ability to work flexible hours, including rotational coverage for 24×7 operations.Based in India, remote, with reliable connectivity.Required Qualification4–8 years of experience in security engineering, application security, or cloud security.Strong grasp of threat modeling methodologies and building security in productsProven experience with AI/ML system or data security, including model lifecycle risk, data privacy, and inference threats.Proficiency in Python and ability to automate or build scripts for API testing and security validation.Hands-on experience with Azure Security, API authentication (OAuth, JWT), and network isolation patterns.Red Team and penetration test assessmentsFamiliarity with frameworks like OWASP ASVS, NIST 800-53, and ISO 27001/27701/42001.Strong analytical writing skills to create professional security reports and threat models.Preferred QualificationPrior experience performing or leading AI/ML threat models or cloud application security reviews.Certifications such as CISSP, CCSP, OSCP, or Azure Security Engineer Associate.Exposure to Responsible AI, data governance, or ML explainability practices.Experience integrating with SaaS or third-party APIs securely in production.Knowledge of Databricks, Adaptive Shield, or Azure Data Factory is a plus.Why Join Symosis?Help shape the India SOC operations for a growing U.S. MSSP.Work with cutting-edge SIEM, EDR, and automation tools.Collaborate directly with the U.S. SOC Manager and leadership team.Flat, collaborative culture with high visibility and growth opportunities.Be part of a technically deep, AI-driven security team.