GuidePoint Security LLC

SailPoint Engineer (IIQ/ISC) - (Remote in the US)GuidePoint Security LLC

Remote — United States

5+ years of hands-on experience implementing SailPoint IdentityIQ and/or Identity Security CloudWorking knowledge of both platforms, with depth in at least oneStrong understanding of IAM/IGA concepts: joiner/mover/leaver, RBAC, role mining, SoD, certifications, and least privilegeExperience with IIQ development (Java, BeanShell, XML artifacts) or ISC configuration (transforms, rules, REST APIs, VA management)Experience with connectors and integration patterns (LDAP/AD, JDBC, delimited file, web services/REST, SCIM)Solid SQL and scripting skills, plus familiarity with JSON, XML, and REST APIsStrong written and verbal communication, with the ability to explain technical concepts to non-technical audiencesComfortable working independently in a remote, distributed teamEmbraces emerging technologies, including AI tools, to work smarter, solve problems, and drive better business outcomes.Consulting or professional services experience, including client-facing delivery, scoping, and managing multiple engagementsSailPoint certifications (e.g., IdentityIQ Engineer, Identity Security Cloud Engineer)Experience leading or contributing to IIQ-to-ISC migrationsFamiliarity with Git, CI/CD, and SSB or similar configuration management toolsKnowledge of adjacent identity technologies (PAM, Access Management, SSO, MFA)Experience in regulated industries (financial services, healthcare, government)Background in Java development, Linux/Windows administration, or application servers (Tomcat, WebLogic)

Application Security Engineer - Northeast region GuidePoint Security LLC

Remote — United States

Proficiency with the implementation, operationalization, and troubleshooting of Static Application Security Testing (SAST) tools such as Semgrep, Snyk, CodeQL, Checkmarx, Veracode, etc.Understanding of Continuous Integration / Continuous Delivery (CI/CD) pipeline tools and processes (e.g. GitHub Actions, GitLab Runners, Azure DevOps, Jenkins, CircleCI, etc.)Experience in software engineering, ideally full stack software development, including modern technologies and application architecturesStrong scripting and automation experience using one or more programming languagesSolid working knowledge of application security fundamentals including the OWASP Top 10, threat modeling, and implementing secure coding practices throughout the Software Development Lifecycle (SDLC)Embraces emerging technologies, including AI tools, to work smarter, solve problems, and drive better business outcomesExcellent written and verbal communication skillsExperience writing or adapting custom SAST rules (Semgrep or CodeQL)Familiarity with additional Application Security tools (e.g. Interactive (IAST), Dynamic (DAST) and API security, SCA, etc.)Familiarity with API Security tools (e.g., NoName, Traceable, Salt, Cequence)Practical hands-on experience validating vulnerabilities and proficiency with Burp SuiteStrong working knowledge of Secure Development Lifecycles and experience triaging and remediating technical vulnerabilities identified by web application scanning toolsUnderstanding of automated security testing approaches and toolsExperience in building and operating security tools within CI/CD pipelinesExperience with proactive integration of security into the development processPast experience as an application security practitioner or software engineer

Senior Cloud Security Automation & AI Engineer- Remote (Anywhere in the U.S GuidePoint Security LLC

Remote — United States

Bachelor's Degree (BS/BA) + 5-7 years of experienceDemonstrated experience designing, implementing, or securing AI/ML workloads in cloud environmentsHands-on proficiency with primary AI/ML platforms: Amazon Bedrock, Amazon Q, and Amazon SageMakerPreferred experience with secondary platforms: Azure AI Foundry, Microsoft 365 Copilot, Copilot Studio, Azure Machine LearningExperience in a client-facing consulting or professional services roleEmbraces emerging technologies, including AI tools, to work smarter, solve problems, and drive better business outcomesBasic Python competency, including the ability to read, write, and troubleshoot code for automation and integration tasksUnderstanding of agentic AI patterns, AI governance frameworks, and secure AI composition (e.g., multi-agent orchestration, tool-use guardrails, prompt injection mitigation)AWS Certified Solutions Architect, AWS Certified Machine Learning, or AWS AI Practitioner certificationAzure AI Engineer Associate, Azure Solutions Architect Expert, or Microsoft 365 Certified: Administrator ExpertGoogle Cloud Professional Machine Learning Engineer or Google Cloud Professional Cloud ArchitectExperience writing statements of work (SOWs), proposals, or scoping documents for professional services engagementsBackground in security frameworks (NIST AI RMF, OWASP LLM Top 10, ISO 42001) as applied to AI/ML workloadsPublic speaking experience, including presentations at conferences, webinars, or industry eventsPrior experience in practice development, service catalog creation, or go-to-market strategy for a consulting or professional services firmAWS Certified Developer - AssociateExperience with AI gateways, Model Context Protocol (MCP), and policy-as-code frameworks (e.g., Cedar, OPA)

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