Principal Systems Analyst, Non-Human and Secrets Management in Fort Worth
Role details
Job location
Tech stack
Job description
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.
Requirements
- 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.