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# Technical Program Manager

- **Company:** Microsoft
- **Location:** Redmond, WA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Engineering, Control Objectives for Information and Related Technology (COBIT), Data Centers, DDoS Mitigation, Distributed Systems, Identity and Access Management, Intrusion Detection and Prevention, Key Management, Network Security, Network Architecture, Public Key Infrastructure, Cloud Services, Zero Trust Network Access, Software Vulnerability Management, Google Cloud, Cloud Platform System, Machine Learning Operations
- **Published:** July 23, 2026
- **Apply:** https://www.careerjet.com/job/us2e867cba64aebc5dc304606fbba5c928/eaa

## About the Role

design decisions and risk mitigation strategies. Conduct deep technical reviews of emerging technologies, including AI/ML systems, cloud-native architectures, and advanced security tooling. Communicate technical risks clearly to both engineering teams and executive leadership. Continuously build audit expertise across cloud, datacenter operations, security engineering, and audit methodologies. Bachelor's Degree AND 2+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience. 1+ year(s) of experience managing cross-functional and/or cross-team projects. Bachelor's Degree AND 5+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience. Cybersecurity engineering (SOC, threat detection, identity protection) Network engineering (routing, switching, network architecture, SDN) Cloud engineering (Azure, AWS, GCP infrastructure and platform services)
Datacenter operations (facilities, hardware deployment, infrastructure lifecycle management) Experience assessing technical systems, security controls, and operational processes. Ability to translate technical concepts into structured risk insights and recommendations. Identity and Access Management (IAM), PKI, and secrets management Network security, segmentation, and DDoS protection Datacenter design, operations, and physical security Incident response, vulnerability management, and threat detection AI/ML systems, including model lifecycle management (training, validation, deployment) AI/ML risk management, including model drift, data quality, bias, and misuse scenarios Experience with cloud platforms, network architecture, and security engineering principles. Familiarity with security and risk management frameworks such as NIST, ISO 27001, COBIT, Zero Trust, and NIST AI RMF. Exposure to AI-enabled cloud services and enterprise-scale AI deployments. Exposure to large-scale distributed
systems or hyperscale cloud environments. Industry certifications such as CISSP, CISA, CCNA, AZ-500, or equivalent. Analytical, problem-solving, and risk assessment skills.

## Description

Evaluate complex engineering environments including cloud platforms (Azure), datacenter infrastructure, network architecture, and cybersecurity controls. Assess risks and control effectiveness across domains such as identity & access, network security, production operations, supply chain, and resiliency. Lead and execute risk-based audit engagements across the full lifecycle-planning, fieldwork, reporting, and follow-up. Deliver audit reports by identifying and gathering support for potential issues and recommending solutions. Utilize organizational audit systems to manage projects, work papers, risk assessment, reporting, and reporting follow-up. Analyze real-world failure scenarios ("what could go wrong") and identify systemic weaknesses across large-scale engineering environments. Provide actionable audit recommendations to improve reliability, scalability, and security posture of critical infrastructure. Partner directly with engineering, operations, and security teams to evaluate


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