Senior Full Stack Engineer responsible for developing and integrating AI tools in a HealthTech startup, providing impactful solutions for therapists' workflows.
About the role
- Principal Engineer overseeing graph technologies for Cyber Data Strategy at Wells Fargo. Designing and implementing graph-based data platforms for advanced analytics and cyber defense.
Responsibilities
- Define and own the Graph Technology strategy within the Cyber Data ecosystem, aligning with enterprise data and security architectures
- Design large‑scale graph data models representing complex cyber relationships such as assets, identities, vulnerabilities, configurations, threats, and attack paths
- Establish reference architectures and reusable design patterns for graph platforms supporting analytics, traversal, correlation, and inference
- Evaluate, recommend, and influence graph platforms and tooling (e.g., property graphs, RDF, cloud‑native graph services) through build vs. buy assessments
- Lead hands‑on engineering efforts to implement scalable graph solutions, including rapid proofs of concept (POCs) for emerging threat scenarios and analytics use cases
- Partner with data and platform engineering teams to integrate graph data stores with existing data pipelines, analytics platforms, and observability tooling
- Drive performance, scalability, and reliability optimizations for large, high‑volume graph datasets
- Ensure graph solutions meet enterprise requirements for security, resiliency, data quality, and operational excellence
- Enable advanced analytics use cases such as attack path analysis, blast radius modeling, threat correlation, entity resolution, and risk prioritization using graph technologies
- Collaborate with Cyber domain leaders, detection engineers, and data scientists to translate threat vectors into actionable graph‑based insights
- Influence how Cyber teams consume graph insights to detect threats earlier, reduce mean time to respond (MTTR), and improve proactive defense
- Serve as the go‑to technical authority for graph technologies across Cyber Engineering and Data communities
- Guide multiple engineering teams through design reviews, architectural decisions, and technical problem‑solving without direct managerial authority
- Mentor senior and staff engineers, raising the technical bar across the organization
- Clearly articulate technical concepts, trade‑offs, and architecture decisions to senior engineering leaders and executive stakeholders
Requirements
- 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 7+ years of hands-on software or data engineering experience, with significant depth in distributed systems or data platforms
- 3+ years of deep expertise designing and implementing graph technologies at scale
- Proven experience operating as a technical lead or principal-level engineer influencing architecture across multiple teams
- Deep expertise in graph databases and frameworks (e.g., Neo4j, TigerGraph, JanusGraph, Amazon Neptune, Azure Cosmos DB Graph, or equivalent)
- Strong experience designing complex graph data models for large, highly connected datasets
- Familiarity with graph query languages (Cypher, Gremlin, SPARQL)
- Experience building graph-powered analytics for cybersecurity, risk, fraud, or complex domain modeling
- Strong knowledge of cloud-native architectures (Azure, AWS, GCP) and data platform integration
- Experience integrating graph data with streaming, batch, and analytics platforms
- Solid grounding in secure software development lifecycle (SSDLC) and enterprise risk expectations
- Exceptional ability to influence without authority and operate effectively in large, matrixed organizations
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field; advanced certifications are a plus
Benefits
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
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