Senior Security Engineer
Role details
Job location
Tech stack
Job description
The Security Engineer is a strategic, architecture-focused role responsible for defining, governing, and advancing security across our modern platforms, cloud ecosystems, AI and agent-driven capabilities, integrations, and digital experiences.
This role drives the secure foundations that enable the organization to scale Power Platform, Dynamics 365 F&O, cloud-native solutions, cross-domain MCP capabilities, API ecosystems, and enterprise AI/LLM agents with confidence.
The Security Engineer acts as a critical partner across Architecture, Engineering, Cloud, Cyber Security, and Data & AI to ensure that every platform, agent, automation, and application is designed with the right guardrails, governance, controls, and operational readiness to keep the business safe while accelerating transformation., Security Architecture & Design
- Define and maintain security architecture standards for Power Platform, Dataverse, Dynamics 365 F&O, Azure, AWS, GCP, custom applications, and enterprise integrations.
- Apply Zero Trust and least-privilege principles to identity, access, API, MCP, connector, and automation patterns.
- Lead threat modeling and secure design reviews for applications, integrations, AI systems, and agent-based orchestration.
- Establish secure patterns for workload isolation, identity propagation, capability routing, and service segmentation.
- Govern APIM zero-trust enforcement across Power Apps, digital applications, orchestrator agents, API consumers, and MCP domain services.
- Define secure patterns for deterministic vs AI-driven capability invocation, ensuring uniform authorization and policy enforcement.
Data Protection & Encryption
- Define standards for encrypting data in transit and at rest across Azure, AWS, GCP, Dataverse, Dynamics 365 F&O, and AI pipelines.
- Drive data classification, PII/PHI protection, masking, tokenization, and synthetic data usage standards.
- Ensure secure handling, auditability, and retention of financial and SOX-relevant data.
- Govern secure data pathways for MCP orchestration and Power Platform integration flows.
AI, Agent & Automation Security
- Lead security risk assessments for LLMs, copilots, MCP domain agents, orchestrators, and AI-driven automation.
- Implement controls that prevent prompt injection, data leakage, unauthorized outputs, and unsafe system actions.
- Define safe tool/action boundaries for agents including permission scoping, output validation, and complete traceability of agent decisions.
- Establish secure RAG retrieval and document governance patterns including sanitization, access filtering, encryption, and contextual authorization.
- Ensure alignment with Responsible AI, AI governance policies, evaluation and red-teaming standards, and behavioral monitoring requirements.
- Govern security for solution-aware orchestration agents within Power Apps, including safe routing to domain MCPs and strict context boundaries.
- Ensure integrity of AI and agent telemetry, including structured risk-event logging, behavior traces, and auditable evaluation histories.
- Implement agent governance controls including agent quarantine, risk-event containment, and unsafe behavior mitigation.
Platform & Application Security
- Define secure design patterns for Dataverse environment separation, role-based access, and field-level protection.
- Oversee security architecture for Dynamics 365 F&O, including role design, segregation of duties, and SOX-aligned access governance.
- Define MCP/API security patterns covering token enforcement, schema validation, throttling, identity propagation, and request boundary controls.
- Establish secure connector patterns for Power Platform including authentication flows, certificate handling, and data boundary enforcement.
- Ensure application security controls align to OWASP Top 10 and modern threat prevention requirements.
Cloud Security Architecture (Azure + AWS + GCP)
- Define cloud security patterns for Azure, AWS and including workload isolation and identity-based access boundaries.
- Establish logging and telemetry requirements for cloud workloads, AI systems, and agent-driven interactions.
- Ensure cloud and platform designs align with Cyber Security, Cloud Architecture, and Data & AI governance frameworks.
- Support secure authentication patterns including Amazon Cognito for digital identity and user access.
Digital & Web Application Security
- Define authentication, authorization, session management, and API protection for digital-facing applications.
- Partner with the team that owns F5 WAF to ensure policies and configurations meet application and threat-prevention requirements.
- Validate secure request handling, input validation, and cross-domain protections across web workloads.
Governance, Compliance & SOX
- Ensure alignment with enterprise cybersecurity standards, cloud governance, Data & AI governance, and SOX ITGC controls.
- Support access certification, segregation of duties, change management evidence, audit documentation, and control testing.
- Participate in architecture reviews, penetration testing, risk assessments, and remediation planning.
- Develop reusable security standards, reference architectures, guardrails, and implementation guidelines.
- Govern secure Dynamics 365 F&O API interaction patterns including identity propagation, token management, and financial transaction protections.
- Ensure consistent enforcement of enterprise AI guardrails and governance controls across copilots, MCP agents, and automation workflows.
Requirements
- Bachelor's degree in Information Systems, Computer Science, Cybersecurity, or a related field, or equivalent work experience.
- 8-10+ years of experience in security engineering, application/platform security, or cloud security in a mission-critical enterprise environment.
- Hands-on experience with Azure, AWS and GCP security architecture, including identity, access, workload security, and cloud governance alignment.
- Experience designing and implementing security controls across API ecosystems, application architectures, and integration patterns.
- Demonstrated experience securing AI/LLM systems, agent-based workflows, and automation platforms (including MCP domain agents and orchestrator agents).
- Experience with enterprise authentication and identity platforms, including Amazon Cognito.
- Strong knowledge of encryption standards, data protection, and secure data handling for regulated and SOX-sensitive environments.
- Applied knowledge of cybersecurity frameworks, including Zero Trust, OWASP Top 10, and secure SDLC practices.
- Experience supporting governance and compliance requirements, including SOX ITGC controls, segregation of duties, and audit evidence.
Preferred Experience
- Power Platform and Dataverse security architecture.
- Dynamics 365 F&O security model and SOX-aligned access controls.
- MCP/API security patterns and agent-oriented architecture.
- Familiarity with F5 WAF threat analysis and policy behavior.
- Certifications such as Azure Security Engineer, AWS Security Specialty, CISSP, CCSP, or CISA.