| Looking for Site Reliability Engineer and SailPoint IAM Consultant with CyberArk at Mclean, VA at Mclean, Virginia, USA |
| Email: [email protected] |
| Hello, Looking for Site Reliability Engineer and SailPoint IAM Consultant with CyberArk at Mclean, VA Please reach me at [email protected] or 469 209 6233 Role: Site Reliability Engineers (SREs) (6 openings) Location: Mclean VA(Remote) Need very strong SRE consultant. Please dont submit junk resumes. Job Posting JD Key skills: Automation & Infrastructure as Code (Ansible, Terraform) and Scripting (Python, Groovy, Shell) Job description: - Automation & Infrastructure as Code: Proficiency in Ansible, Terraform. - Scripting: Strong skills in Python, Groovy, and Shell scripting. - Continuous Integration & Deployment: Expertise in Jenkins, including pipeline creation and management. - Version Control: Proficient with Git operations, branching, and merging. - OS Management: Hands-on experience with Windows and Unix/Linux environments. - Network Management: Understanding of DNS configurations, network protocols, and firewall management. - Monitoring & Alerting: Familiarity with monitoring tools and setting up alert mechanisms. - Incident Response: Ability to handle and mitigate system incidents efficiently. Role: Sailpoint IAM resources 2 openings Location: Mclean VA(Remote) Job Description Job Description: We are seeking a highly motivated and experienced SailPoint Integration Specialist with CyberArk expertise to enhance the security of our applications and critical systems. The successful candidate will be responsible for configuring, implementing, and managing SailPoint IdentityNow and CyberArk solutions to protect and govern access to our applications and sensitive data. Key Responsibilities: SailPoint Integration: Collaborate with stakeholders to understand application security requirements. Configure, customize, and implement SailPoint IdentityNow to support access management and identity governance. Design, develop, and maintain SailPoint connectors for various applications. Troubleshoot and resolve issues related to SailPoint integrations. CyberArk Integration: Implement and manage CyberArk's Privileged Access Security solutions. Integrate CyberArk with SailPoint for enhanced identity and access management. Define and enforce privileged access policies and workflows. Monitor and report on privileged account activity and security incidents. Access Governance: Define access control policies and access certification processes within SailPoint. Ensure compliance with industry standards and best practices. Automate access request, approval, and certification processes. Collaboration and Documentation: Collaborate with cross-functional teams to design and implement security solutions. Maintain comprehensive documentation of SailPoint and CyberArk configurations. Provide training and knowledge sharing to relevant teams. Qualifications: Bachelor's degree in Computer Science, Information Technology, or related field. Proven experience in configuring and implementing SailPoint IdentityNow. Strong expertise in CyberArk Privileged Access Security solutions. Familiarity with identity and access management (IAM) principles and best practices. Knowledge of scripting and automation (e.g., PowerShell, Bash). Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Relevant certifications in SailPoint and CyberArk (e.g., SailPoint IdentityNow Certified Implementation Engineer, CyberArk Certified Delivery Engineer) are a plus. Preferred Skills: Experience with other IAM solutions such as Okta, OneLogin, or ForgeRock. Understanding of cloud security and integration (e.g., AWS, Azure). Data Modeler with NoSQL Database 2 roles Location : Mclean VA(day one onsite, 3 days onsite in a week) We need a data modeler for NoSQL Databases (not necessarily Mongo only can be other NoSQL Databases also) This is not a DBA position for Mongo this is primarily a data modeler need to work with unstructured data (JSON file formats). There is no relational data here so the thought process of the ideal candidate should be aligned to be able to work with Big Data, NoSQL data which is not relational. Responsibilities: Meet with stakeholders to understand and document requirements which are the basis for the model solutions Provide training and mentorship, and work closely with product analysts on the product teams, on data mapping Develop model solutions, and be able to convey the pros and cons of alternatives Review model solutions crafted by the team members to ensure alignment to standards and consistency with Industry standards and best practices Ensure consistency between the MongoDB collections Ensure maintenance of controls, data exchange management Ensure/lead model reviews to ensure fit for use (satisfies requirements, both immediate and likely future) Ensure modeling team meets all commitments and uphold the motto of no delays to product teams Ensure continued creation/maintenance of critical modeling artifacts, ex. requirements and modeling analysis documentation, model change requests logs, data dictionaries, artifacts for architecture document, etc. Achieve data standardization for critical value sets through acquiring agreement and buy-in from stakeholders and enabling compliance through a streamlined process Identify and document patterns, especially in domain and enterprise models, ensuring alignment and/or ease for integration (common language), and escalate blockers to Sr. Manager. Support data governance work as needed. Designs, implements, and documents data architecture and data modeling solutions, which include the use of MongoDB and other NoSQL databases. Development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL). Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools. Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models. Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models. Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization. Essential Skills: 8-10 years data modeling experience with 5+ years of hands-on relational, dimensional, and/or analytic experience (using MongoDB and other NoSQL data platform technologies, and ETL and data ingestion protocols). Specialized technical knowledge of the MongoDB platform or similar NoSQL technologies Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required. Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required. Design and development experience building a reusable REST API model/framework to consume data from and/or push data into MongoDB (or similar technology) In depth knowledge of modeling/architectural patterns, governance methodologies, and potential limitations within MongoDB Ability to configure schema and MongoDB data modelling Experience in Database security management Knowledge of MongoDB administration and installation in AWS and Red Hat In-depth understanding of MongoDB architecture Excellent communication skills; ability to communicate with various stakeholders at various levels Essential Qualification: Bachelors is a must Keywords: information technology Virginia |
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| Fri Nov 10 00:54:00 UTC 2023 |