Job Title: IAM Engineer – ForgeRock
Location :- Newark, NJ Onsite
Job Type: Permanent Full Time
Mode of interview: Video Call
Relevant Experience (in Yrs) 10+
Technical/Functional Skills:
Ability to coach others with minimum guidance and effectively leverages diverse ideas, experiences, thoughts and perspectives to the benefit of the organization.
Experience with working in a Scrum Agile development Team
Knowledge of business concepts tools and processes that are needed for making sound decisions in the context of the company's business
Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges
Excellent problem solving, communication and collaboration skills
Experience providing documentation and diagrams for all architecture, builds, and configurations for solutions provided.
Advanced experience and/or expertise in several of the following;
ForgeRock SAAS or On Prem. This includes ability to install and configure RCS with different types of data stores.
Other IAM Platforms – Okta, SailPoint, Ping, a plus
Experience with creating Account Profiles, Authentication and Authorization policies and schemes for users to fit various use case scenarios
Experience working as a Trusted Advisor in a collaborative environment and serving as a Senior IAM expert advising on sometimes Complex Use Cases
DevOps Platform: Experience working with AWS CI/CD – Jenkins, Bitbucket, GIT a plus
Programming Languages: Python, Java, Node, Groovy, Shell/Power Shell Scripting a plus
Standards/Specs: OAUTH2/SAML/OIDC/WebAutN 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 : Experience creating Architecture Designs, Technical guides, Runbooks, Integration and Design specifications required
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