Level 1 PAM Operations Engineer
Gruve
Level 1 PAM Operations Engineer
Gruve
AI-driven enterprise services and analytics
About Gruve
Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.
Position summary:
We are looking for a proactive L1 PAM Operations Analyst to support day-to-day Privileged Access Management operations, primarily using Thycotic/Delinea Secret Server. The role is responsible for PAM monitoring, initial incident triage, routine access request processing, password rotation status checks and timely escalation to L2/L3 teams. The administrator will follow approved runbooks and security procedures to ensure secure privileged access and SLA compliance.
Key Responsibilities:
PAM Monitoring & Operations
Privileged Access Support
Operations & Service Management
Required Skills & Qualifications:
Preferred Skills & Qualifications:
Why Gruve
At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.
Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.
Gruve AI provides AI-driven solutions for enterprise services, focusing on data analytics, cloud computing, digital transformation, infrastructure management, enterprise security, and identity management. Through consulting and engagement services, it tailors AI and software-development projects for Fortune 100 clients to improve efficiency and deliver measurable results. The company’s approach combines machine learning, data science, and software development to transform how large organizations operate, with a strong emphasis on customer success, resilience, ethics, and a collaborative culture. Its goal is to lead in data and AI innovation while helping clients grow and innovate across industries.
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