Senior Java Engineer to join Compliance & Supervision Technology, shaping technology solutions that meet regulatory obligations, strengthen supervisory controls, and manage conduct and trade-related risks.
Compensation
We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with a member of our HR Team and ask compensation related questions, including pay details for this role.
Responsibilities
Help build and lead a high-performing engineering team across multiple delivery streams
Help establish engineering standards, development practices, and quality controls
Drive accountability for solution design, code quality, testing, deployment, and operational stability
Provide coaching, mentoring, and career development to junior developers in the team
Foster a culture of continuous improvement, innovation, and technical excellence
Requirements
Bachelor's degree in computer science or a related field
Own and drive the technical architecture for complex, cross-team data initiatives spanning ingestion, transformation, storage, and serving layers, focusing on cloud-native data platforms, MDM, and integrating agentic AI/LLM workflows.
Responsibilities
Own and drive the technical architecture for complex, cross-team data initiatives
Design, build, and maintain scalable, high-performance data pipelines in a cloud-native environment (Azure, AWS, or GCP)
Architect and lead enterprise Master Data Management (MDM)
Architect and integrate agentic AI and LLM-driven workflows into data platforms and pipelines
Build and support the data foundations for machine learning and AI (feature stores, vector stores, embeddings, ML/LLMOps)
Requirements
Bachelor's degree in Computer Science, Engineering, MIS, or related field
Lead the design and development of scalable, enterprise-grade data platforms, with a strong specialization in Databricks and modern cloud technologies, driving complex, cross-functional data initiatives.
Responsibilities
Own and drive the technical architecture of complex, cross-functional data initiatives, covering ingestion, transformation, storage, and serving layers.
Design, develop, and maintain scalable, high-performance data pipelines and distributed data platforms using Databricks and cloud-native technologies across Azure, AWS, or GCP.
Lead enterprise Master Data Management (MDM) initiatives, including golden records, entity resolution, match-and-merge processes, data domains, reference data, hierarchies, and data stewardship.
Architect and integrate agentic AI and LLM-powered solutions, including autonomous agents, RAG pipelines, AI copilots, and orchestration frameworks, into enterprise data platforms.
Build and maintain data foundations for machine learning and AI applications, including feature stores, vector databases, embeddings, and ML/LLMOps pipelines.
Requirements
Bachelor's degree in Computer Science, Engineering, Management Information Systems, or a related discipline
Lead the design and development of scalable, enterprise-grade data platforms, with a strong specialization in Databricks and modern cloud technologies, driving complex, cross-functional data initiatives.
Responsibilities
Own and drive the technical architecture of complex, cross-functional data initiatives, covering ingestion, transformation, storage, and serving layers.
Design, develop, and maintain scalable, high-performance data pipelines and distributed data platforms using Databricks and cloud-native technologies across Azure, AWS, or GCP.
Lead enterprise Master Data Management (MDM) initiatives, including golden records, entity resolution, match-and-merge processes, data domains, reference data, hierarchies, and data stewardship.
Architect and integrate agentic AI and LLM-powered solutions, including autonomous agents, RAG pipelines, AI copilots, and orchestration frameworks, into enterprise data platforms.
Build and maintain data foundations for machine learning and AI applications, including feature stores, vector databases, embeddings, and ML/LLMOps pipelines.
Requirements
Bachelor's degree in Computer Science, Engineering, Management Information Systems, or a related discipline
Lead threat-focused vulnerability research across enterprise applications, APIs, operating systems, network devices, cloud services, containers, open-source components, commercial products, and emerging AI-enabled technologies.
Locations (4)
Saint Petersburg, Florida, United States
Southfield, Michigan, United States
Memphis, Tennessee, United States
Denver, Colorado, United States
Compensation
The total compensation for this position includes base salary or wages, and may include components such as additional compensation (cash or equity), discretionary bonuses, or commissions.
Responsibilities
Lead threat-focused vulnerability research across enterprise applications, APIs, operating systems, network devices, cloud services, containers, open-source components, commercial products, and emerging AI-enabled technologies.
Lead the technical direction of a data product squad serving Nike Direct, Wholesale Demand, Inventory, 3PP Demand, Customer Dimensional data, WFM, Clickstream, Member, or Orderbook.
Responsibilities
Define the strategy and roadmap for consumption and ontology layers
Mentor SWE I and SWE II engineers
Reduce KLO/TCO while accelerating delivery
Lead the design of consumption layers, APIs, and pipelines
Drive aggressive simplification and unification of data products landscape
Requirements
Bachelor's or Master's degree in Computer Science, Information Systems, or related field
Own the strategy and day-to-day operation of the centralized MCP (Model Context Protocol) gateway that allows approved AI clients to connect to enterprise systems, turning a security-approved control plane into a fast, self-service path to AI productivity across the company.
Locations (2)
Seattle, Washington, United States
San Francisco, California, United States
Compensation
The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.
Responsibilities
Own the MCP gateway platform end to end
Design the customer experience for AI tool access
Partner with Product Security and IAM on MCP approval, threat modeling, least-privilege scopes, and incident response
Contract position with a leading financial firm.
Hybrid, in Newark, NJ - 3 days/week.
Requirements:
o Strong hands-on experience with React.js (hooks, state management, component-based architecture) for building responsive, scalable UIs.
o Solid backend development experience using NodeJS
o Proficiency in JavaScript/TypeScript across full stack (frontend + backend) .
o Experience designing and integrating REST/GraphQL APIs and microservices architectures.
o Hands-on experience with AWS cloud services (e.g., EC2, S3, API Gateway, Lambda) .
o Working knowledge of containerization using Docker and deployment to AWS ECS (or EKS)
o Experience with CI/CD pipelines and automated deployments in AWS environments
o Understanding of cloud infrastructure concepts (VPC, IAM, load balancing, auto scaling)
o Proficiency with databases (PostgreSQL, MongoDB, or NoSQL) and query optimization
o Experience with monitoring and logging tools (e.g., CloudWatch)
Pay - 60 - 70 per hour depending on experience
#LI-AC1
Continuously analyze threat intelligence, vendor advisories, public exploit research, malware and campaign reporting, security-research disclosures, and internal telemetry to identify vulnerabilities with credible relevance to the enterprise.
Perform authorized, controlled technical research to validate vulnerability conditions, affected versions, attack prerequisites, exploitability, reachability, likely impact, and available mitigations without creating unnecessary operational risk.
Develop safe detection and validation content such as authenticated checks, queries, signatures, scripts, test harnesses, configuration assessments, and exposure analytics.
Build production-quality automation and integrations that ingest, normalize, enrich, correlate, deduplicate, prioritize, ticket, route, retest, and close vulnerability findings across scanners, asset inventories, threat-intelligence sources, software inventories, cloud platforms, endpoint tools, and engineering systems.
Requirements
High School (HS) - Completed
Nice to have: Offensive Security Certified Professional (OSCP)
Nice to have: Offensive Security Experienced Penetration Tester (OSEP)
Nice to have: Offensive Security Web Expert (OSWE)
Nice to have: GIAC Exploit Researcher and Advanced Penetration Tester (GXPN)
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