Principal Systems Analyst, Non-Human and Secrets Management in Hurst

The Principal Systems Analyst for Non-Interactive Secrets Management is the technical and analytical lead responsible for backlog refinement, requirements, and assisting in delivery of the firm's non-interactive secrets platforms. This role translates complex cybersecurity needs into clear requirements, structured user stories, measurable outcomes, and actionable acceptance criteria. With deep expertise in HashiCorp Vault and broader non-human frameworks, including SPIFFE/SPIRE, workload identities, and service authentication patterns, this ensures our platform architecture and onboarding models are robust, secure, and scalable. The analyst drives the earliest and most critical stages of work: discovery, requirements definition, dependency mapping, and bringing clarity to ambiguous, cross-domain challenges.

The Expertise and Skills You Bring

• Lead discovery, analysis requirements gathering.
• Break large initiatives into well-defined epics and user stories.
• Serve as the team's primary analytical authority, ensuring requirements are technically sound.
• Define functional specifications, workflows, integration requirements, and service consumption models for secrets management.
• Partner closely with engineers across the full delivery lifecycle, providing clarity and alignment from design through deployment.
• Drive consistent onboarding and service patterns, self-service enablement, and operational excellence.
• Contribute to platform roadmaps, architecture discussions, control patterns, and capability evolution.

• Bachelor's degree in Computer Science, Information Security, Engineering, or related field (Master's ).
• Required: 5 years' experience in systems and technical analysis
• Strong expertise in HashiCorp Vault and non-interactive secrets workflows (policies, auth methods, KV, Transit, dynamic secrets, integrations).
• Advanced analytical and problem-solving skills with the ability to decompose complex, multi-domain problems into clear, actionable components.
• Proven experience writing high-quality user stories, acceptance criteria, requirements documents, and systems/process specifications.
• Excellent communication and facilitation skills, capable of driving alignment across engineering, product, and business stakeholders.
• Strong understanding of cloud infrastructure and (AWS IAM roles/policies, Azure Managed Identities, Kubernetes workload identities, service mesh patterns).
• Knowledge of non-human and workload technologies such as SPIFFE/SPIRE, cloud workload identities, X.509/SVID issuance, and service authentication models.