Back
Strong employer brand and metro location but niche cryptography skills moderate applicant density.
Role requires specialized cryptography, PKI, and KMS experience, so candidates from unrelated backgrounds fit poorly.
Explicit years bands, domain-specific cryptography/KMS/PKI requirements and regulated environment drive high strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Support Amgen's enterprise Encryption Agility Service by collecting, validating, documenting, and reporting cryptographic inventory and remediation data.
Maintain and update Cryptographic Bill of Materials (CBOM) records, review cryptographic scan outputs, and assist associated teams with certificate, key management, and cryptographic security operations.
Contribute to AI-enabled process orchestration within the service by documenting workflows, testing AI-assisted outputs, and supporting manual review activities.
Bachelor's degree with 3 to 5 years OR Master's degree with 1 to 3 years OR Diploma with 7 to 9 years of experience in Information Security, Cybersecurity, Cryptography, Security Architecture, Computer Science, IT, Engineering, or related field.
Working knowledge of information security and enterprise cryptography including PKI, X.509 certificates, TLS, cipher suites, KMS, secrets management, encryption at rest and in transit, and identity protocols.
Experience reviewing security tool outputs, maintaining inventory records, validating data quality, and supporting dashboards or reports.
Work Experience Required: 1 to 9 years depending on educational qualification as specified.
Experienced in handling cryptographic inventory, data validation, and remediation tracking in complex enterprise environments involving cloud, infrastructure, identity, and third-party systems.
Comfortable working under senior technical guidance while coordinating with multiple cross-functional teams in security, legal, procurement, and vendor management.
Interested in emerging cryptographic domains and AI-assisted process automation to improve operational accuracy and efficiency.