Samsung SDS America, Inc.
Jobs at Samsung SDS America, Inc.
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Cloud • Information Technology • Logistics • Software
Designs, implements, administers, secures, and troubleshoots enterprise LAN, WAN, data-center, wireless, NAC, and firewall infrastructure. Supports Cisco switching, routing, wireless, and ISE environments alongside Palo Alto firewalls and Panorama. Responds to critical incidents, performs upgrades and maintenance, develops network architectures and standards, optimizes performance and capacity, and collaborates with security and IT teams in a 24x7 environment.
Cloud • Information Technology • Logistics • Software
Design, administer, secure, and improve enterprise CyberArk PAM environments. Manage privileged, service, and application accounts across Windows, Linux, databases, networks, cloud, and applications. Integrate PAM with identity, authentication, MFA, SIEM, ticketing, and security platforms. Develop PowerShell and Python automation, support audits and incident response, troubleshoot complex infrastructure issues, and implement least-privilege and Zero Trust controls.
Cloud • Information Technology • Logistics • Software
Monitor and analyze security events across enterprise systems, tune and operate Splunk ES, investigate incidents, perform threat hunting, onboard log sources, optimize detections to reduce false positives, and collaborate with cross-functional teams to drive remediation and document playbooks and procedures.
Cloud • Information Technology • Logistics • Software
Manage and secure enterprise relational databases (MySQL, PostgreSQL, SQL Server, Oracle). Ensure performance, availability, backups, disaster recovery, and capacity planning. Implement encryption (TDE, column/tablespace encryption), KMS/HSM integration, access controls, masking/tokenization, and auditing for PII. Collaborate with security and compliance teams and support incident response and query/schema optimization.
Cloud • Information Technology • Logistics • Software
Develop and deploy embodied AI on humanoid robots: collect teleoperation data, train RL/imitation policies, integrate perception and control, optimize low-latency inference, and iterate experiments in real-world environments using simulation and scalable training pipelines.
