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Technical Business Analyst

Newark, NJ, United States

Job Requirements:

7+ years or better experience providing Architecture and Design, Requirements Gathering and Analysis working as a liaison between CIAM/IAM Platform team and Business to recommend and prioritize applications for Migration.

Demonstrated experience with excellent communication skills working with teams for large Enterprise implementations. International Experience a plus.

Senior IAM knowledge and preferably experience working with customer facing applications that require Legacy Forms Based SSO, OAuth2, OIDC, SAML, Certificate based Authentication to name a few.

Demonstrated experience working with ForgeRock or other IAM products that are SAAS or Cloud based. Experience with AWS, Azure or GCP desired.

Demonstrated experience working in Cybersecurity organization with a Technical Engineering focus on CIAM/IAM

Job Requirements Advanced experience and/or expertise in several of the following. Experience with IAM Platforms - ForgeRock, Okta, SailPoint, Ping

Experience working as a Trusted Advisor in a collaborative environment and serving as a Senior IAM expert conducting requirements gathering and analysis to determine Applications to migrate.

DevOps Platform: Experience working with AWS CI/CD - Jenkins, Bitbucket, GIT a plus.

Programming Languages: Python, Java, Node, Groovy, JavaScript or other scripting a plus but not required

Standards/Specs: OAUTH2/SAML/OIDC/WebAuthN Required

Experience with Session Management (Client, Server) Required

Knowledge of Infrastructure fundamentals Linux / UNIX/Windows Operating Systems

Database Fundamentals: Schemas, Tables, Permissions, SQL

Networking, TCP/IP and other common Communication Protocols: OSI Model, 3 Way Handshake, Stateful vs Stateless, Proxy Firewall

Containers: Docker, Kubernetes

Logging & Monitoring: Dynatrace and Splunk, Change Management, Problem management, industry standard tooling.

Test/Quality capabilities & methodologies (functional & nonfunctional) and associated tooling including quality automation.

Infrastructure & Cloud Security best practices including DevSecOps.

Software Development Life Cycle (SDLC): Development and Design Fundamentals including SDLC and coding standards.

Cloud Computing: Understanding and knowledge (of 1 or more): AWS, Azure or GCP

Documentation: Provide Analysis and requirements to Engineering build teams who will use data gathered to onboard applications

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