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Senior Consultant Recruiting & Operations at Technology Ventures
- The Data Encryption Analyst is responsible for implementing a cryptographic inventory process that includes collecting cryptographic configuration settings from network(s) and applications to identify the use of weak settings, engage respective asset owners, follow-up and track configuration updates.
- The Data Encryption Analyst is also responsible for gathering requests for guidance from application teams and working with a cross functional subject matter expert (SMEs) to identify possible solutions and provide guidance.
- The person preferably has hands-on experience in configuring TLS, including tasks like obtaining a certificate from a trusted CA, installing it on the system, defining cipher suites, and ensuring proper TLS handshake.
- Prior experience with encryption key management, including implementing policies, monitoring compliance, and ensuring secure handling of cryptographic materials, is preferred.
Required Skills
- 2-3 years of experience in collecting encryption configuration settings from a variety of network and application security tools, correlate, analyze, and provide actionable insights.
- Strong understanding of cryptographic standards and their use (Encryption, Hashing, Digital Certificates, Digital Signature, etc).
- Knowledge of data classification, encryption, and key management.
- Experience in working with any of the following tools: ExtraHop, Nessus, Tenable, Wiz, Splunk, or any other security monitoring tools.
- Strong analytical skills using Excel or Power BI, and problem-solving skills with attention to detail.
- Excellent communication and documentation abilities.
- Working experience in cybersecurity, data security, or data protection operations.
Preferred Skills
- Thorough understanding of the Public Key Infrastructure (PKI), secure encryption algorithms, modes, and the Transport Layer Security (TLS).
- Understanding of symmetric and asymmetric encryption and respective use cases.
- Familiarity with cryptographic services in AWS, Azure, and Google Cloud.
- Use of scripting languages (e.g., Python) for data manipulation and automation.
- Certifications in information security.
Seniority level
Seniority level
Mid-Senior level
Employment type
Job function
Job function
Information TechnologyIndustries
IT Services and IT Consulting
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