In this contingent resource assignment, you may:
Consult on complex initiatives with broad impact and large-scale planning for Information Security Engineering.
Review and analyze complex multi-faceted, larger scale or longer-term Information Security Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.
Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.
Strategically collaborate and consult with client personnel.
Required Qualifications:
5+ years of Information Security Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
Strong hands-on experience with Python, SQL, and common data science or ML frameworks.
Experience working with security telemetry and platforms such as SIEM, EDR, cloud, or identity systems.
Demonstrated experience deploying analytics or ML solutions into production environments.
Solid understanding of cybersecurity principles, threats, and defensive technologies.
MUST HAVE:
AI engineering: Agentic AI frameworks (vertex), MCP, multi-agent orchestration, LLM API, RAG
Data Science: Lakehouse Architecture, Delta Lake, Iceberg, Snowflake, Databricks, Bigquery, Airflow, ETL, Quantitative Analysis, SQL, Python, PowerBI
Preferred Qualifications:
Experience with generative AI or advanced automation in security or operational environments.
Familiarity with cloud platforms such as Azure, AWS, or GCP.
Knowledge of cybersecurity frameworks including NIST, MITRE Telecommunication&CK, or Zero Trust.
Relevant security, cloud, or AI/ML certifications.
Financial Services Preferred
EEO: "Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."