EEOC

Backend Engineer

• Designs, develops, documents, tests, debugs, and maintains software product applications.
• Acts as a technical leader on the team, collaborates closely with the Architecture team and with other members of the team to deliver on the team’s backlog.
• Ensures that platform architecture meets our growth, monitoring and alerting goals.
• Leads deep, complex, and high-risk technical projects, and control the communication around them.
• Collaborates with stakeholders and makes the right trade off decisions.
• Mentors junior team members with guidance around techniques, tools, and best practices.
• Stay current with industry trends and innovations through continuing education, company provided training and proof of concepts.
• Designs and develops features and capabilities to enhance the Early Warning core product offerings.
• Managing source code using Git.
• Querying platform data using SQL-based DBs.
• Working on complex Java Web Services using Spring Boot.
• Tracking sprint work in Jira and documenting complex details and decisions in Confluence.
• Building automated tests alongside sprint work that is integrated into the CI/CD pipeline.
• Submit pull requests and integrate review feedback from others on the team.
• Able to troubleshoot complex bugs that may arise during development.
• Support the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data.

Staff Engineer – Java/AWS

Staff Engineer – Java

Product Manager

• Articulate vision, roadmap and technical requirements for data and analytics capabilities, processes and tools to enable prioritized use cases across the enterprise or business unit
• Act as the primary liaison between Data Science and ML Ops teams, translating business and technical requirements into actionable platform capabilities, migration plans, and backlog priorities.
• Lead requirements gathering, prioritization, and execution planning for the migration of data science workloads, models, and analytical processes to the enterprise ML Ops workbench.
• Manage and prioritize a balanced product backlog that includes new features, technical debt, operational risks, platform enhancements, and defect remediation, ensuring alignment with Product-Oriented Thinking and Delivery (POTD) principles and business outcomes.
• Partner with engineering and platform teams to identify, troubleshoot, and resolve data availability, data quality, and platform integration issues impacting data science and analytics use cases.
• Define and monitor adoption, performance, and value realization metrics associated with data science platform modernization and migration efforts.
• Advocate for data management best practices, governance requirements, and operational excellence to ensure trusted, scalable, and compliant use of enterprise data assets.
• Develop and maintain the data product roadmap; scopes and prioritizes activities based on the CDO, business, and user impact which defines product enhancements for both short-term and long-term.
• Gain a deep understanding of end-user needs and experience (internal data consumers), identify and fill product gaps and generate new ideas that grow adoption and improve user experience
• Define requirements for the Data Technology team on data processing and storage to facilitate a variety of analytics use cases such as effective analysis and reporting, data science exploration and model development, and data quality and anomaly detection
• Set and achieve success metrics to meaningfully improve business results, focusing on what success looks like for our internal data consumers and how accessible data and insights could help them deliver enterprise value
• Act as a product evangelist to build awareness, understanding, adoption, and buy-in
• Support the company’s commitment to risk management and protect the integrity and confidentiality of systems and data.
• Oversee the integration of strong data governance, risk and security controls.

Senior Lead Data Product Manager

Engineer

• Drive endpoint vulnerability remediation efforts, including identification, prioritization, and resolution of vulnerabilities across Windows and Mac.
• Design and implement patch management and vulnerability remediation strategies, ensuring timely deployment and compliance with organizational SLAs.
• Partner with Security, Infrastructure, and Application teams to assess risk, validate remediation actions, and reduce overall attack surface.
• Create and maintain policies, standards, and technical documentation related to endpoint security, patching, and vulnerability management.
• Develop and maintain dashboards and reporting to track vulnerability posture, remediation progress, and risk reduction metrics.
• Represent Workplace Technology in Technology Review Boards, ensuring security best practices and consistent methodologies are applied.
• Work closely with internal teams and external vendors to resolve vulnerabilities in a timely manner, including driving escalations and ensuring SLA adherence.
• Participate in incident, problem, and change management processes as they relate to endpoint vulnerabilities and security risks.
• Support automation of vulnerability detection and remediation using scripting and DevOps practices.

Senior Endpoint Vulnerability Remediation Engineer – Contract

Systems Engineer

• Supports and maintains the organization’s Hosting Infrastructure and Operating Systems (on-prem and cloud)
• Administers and manages cloud and physical infrastructure systems and configurations
• Analyzes issues for strategic and tactical decision making
• Ensures system health is optimized to support internal and external customers
• Performs systems engineering, installation, configuration, administration and maintenance of assigned technology responsibilities
• Implements and reviews systems monitoring to ensure platform availability and optimal performance
• Analyzes systems health data and makes recommendations to improve performance
• Provides systems production support, reporting and monitoring of availability for IT Systems
• Resolves complex hardware/software related problems
• Implements defined changes to existing hardware and operating systems
• Creates and/or edits technology policies, procedures and associated documentation
• Interacts with internal customers and external vendors to provide quality customer service
• Mentors, trains, coaches and guides Systems Engineers

Linux Systems Engineer II – Contract

Risk

• Consulting with, educating and supporting Paze on the execution of enterprise and operational risk programs
• Promoting an environment of risk awareness and ownership in the business
• Supporting adherence to the Company's risk appetite
• Ensuring timely execution of risk program requirements, including risk and control self-assessments
• Reporting as required by various governance committees
• Identifying and escalating risks and issues with business unit management and second line of defense risk partners
• Serving as a subject matter expert on risk programs, policies, and frameworks for the business unit(s) it supports
• Providing guidance and process coaching to the business unit
• Overseeing the development and execution of the business unit’s risk-based testing and monitoring program
• Educating, training, and advising business leaders on risk management practices and activities
• Aggregating and analyzing risk data to support reporting and analytics for risk management use by the business and second line

Senior Risk Management Manager – LOD1

• Define and lead the strategy and roadmap for enterprise Data, Analytics, AI, and Generative AI platforms.
• Drive platforms from strategy through adoption, establishing clear outcomes, success metrics, adoption targets, and value realization measures.
• Lead the evolution of the enterprise Data & AI platforms, enabling secure, scalable, reusable, and governed capabilities across the enterprise.
• Balance innovation speed with enterprise-grade controls and operational discipline.
• Prioritize investments across foundational platforms, business/product use cases, technical debt, governance needs, and emerging technology opportunities.
• Evaluate tradeoffs and align stakeholders around roadmap decisions.
• Translate business and product priorities into platform capabilities that enable analytics, automation, AI-driven decisioning, and intelligent digital experiences.
• Partner with engineering, data science, architecture, cybersecurity, privacy, legal, compliance, and business leaders to deliver secure and scalable platform capabilities.
• Lead, coach, and develop technical product managers and partner closely with cross-functional product and engineering teams.
• Promote an operating model focused on customer outcomes, platform reuse, adoption, and continuous improvement.

Senior Director, Technology Product Management – Data & AI

General Counsel

• Drafts, reviews, and negotiates a wide range and complexity of commercial contracts with customers, suppliers, merchants, merchant acquirers, payment service providers, technology partners, and other business partners, including complex master service agreements, merchant acceptance and payment services agreements, statements of work, vendor agreements, professional services agreements, intellectual property license agreements, and non-disclosure agreements for domestic and international use cases.
• May support M&A activities.
• Collaborates with other internal partners, including privacy, security, compliance, risk management, and other members of the Legal department, to provide integrated support to the contracts team and its clients.
• Advises business teams on a full range of issues related to commercial contracting in the interpretation and application of U.S. and international legal and regulatory frameworks.
• Prepares, maintains, and updates contract templates and prepares unique or custom agreements as required.
• Recommends and helps implement contract policies and procedures.
• Partners closely with contract administration team to provide timely and efficient management of the contracts process.
• Assists with development and implementation of contract guidelines/playbooks and client training.
• Delivers timely, actionable, forward looking, legal guidance that facilitates business objectives in a legal compliant manner.
• Develops and maintains knowledge of the regulations and industry guidelines impacting the company’s products and commercial contracts.
• May supervise lower-level attorneys and/or contract management personnel.
• Manages and supervises outside counsel as needed.
• Exercises independent judgment.
• Supports the company’s commitment to contracts operational excellence and risk management while protecting the integrity and confidentiality of systems and data.

Contracts Counsel

Security Engineer

• Completes the Identification, measurement, control and minimization of security risks to information systems across a broad range of disciplines including application and host security.
• Develops and implements repeatable application security architecture patterns working with internal and external partners to ensure that systems are placed within the relevant security zones based on the data they house and their purpose.
• Contributes to the development of Early Warning security policy and procedures.
• Develop Threat Models, design and develop Security architectures and publish reference architecture/patterns implementations for Products and drive companywide adoptions.
• Supports Product and Stakeholder teams efforts in building Cloud Native applications by implementing and engineering Cloud Security and Microservices Security best practices and industry standards.
• Document and present risks and security issues that could impact the confidentiality, integrity and/or availability of the business (both internally and externally) by assisting in documentation, tracking and creating solutions for mitigation.
• Develop reference engineering implementations of Security patterns and Security Guardrails into Software frameworks and technology stack.
• Support and implement Security technology and security control design proof of concepts and implementations.
• Contribute and further integration of Secure Development lifecycle into product implementation and engineering efforts.
• Evaluates all product business cases including functional and security specs to ensure security standards are met.
• Support efforts with Product Development and Engineering teams to perform security analysis on all internally developed products and services.
• Participates in the development of EWS DevSecOps security strategy and posture by designing, advocating and helping build secure-by-default CI/CD pipelines and processes.
• Identifies opportunities for automation, develop and build integrations for security automated scans and establishes patterns for product and infrastructure automated security.
• Builds and maintains automation in and improvements in the build and deployment pipelines that are part of Continuous Integration (CI) and Continuous Deployment (CD).
• Provide support and technical guidance and foster a collective understanding of secure development and deployment of products and infrastructure.
• Assists in the implementation of DevSecOps methodologies while addressing requirements and orchestrating security impact.
• Implements, tests, and supports the development of CI/CD pipelines in Gitlab, Harness and deployment of cloud native configuration management solutions using 3rd party tools.
• Works with architecture teams to ensure that all newly developed and legacy applications and infrastructure implementations are in line with security policy and are compliance to the required frameworks (ISO, PCI, OWASP, NIST 800-53, etc.).
• Support the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data.

Product Security Engineer – Cloud

• Define and champion the product vision, strategy, and roadmap for the token directory & identity services.
• Translate market needs, customer expectations, partner requirements, regulatory considerations, and business priorities into a clear product direction and execution plan.
• Harmonize tokenization and identity capabilities across e-commerce, NFC, agentic, and emerging channels.
• Establish product priorities that balance customer experience, partner adoption, platform scalability, revenue growth, risk controls, and operational feasibility.
• Continuously monitor the payments, digital identity, e-commerce, wallet, authentication, and emerging technology landscape to identify opportunities for innovation and differentiation.
• Lead the build, evolution, and scale of secure, extensible, and interoperable product and platform capabilities that support current and future Paze products.
• Own the evolution of token, directory, and identity infrastructure into modern platform services with clear governance, data standards, operating models, and risk controls.
• Oversee the product development lifecycle from strategy, discovery, concept validation, and requirements through development, launch, post-launch analysis, and continuous improvement.
• Partner with Engineering teams to define product requirements, groom user stories, manage tradeoffs, and ensure timely delivery of high-quality market solutions.
• Apply design thinking, agile methodologies, customer insights, operating metrics, and data-driven decision making to improve delivery quality and product outcomes.
• Work closely with Partnerships to drive optimal product and commercial outcomes across issuers, owner and non-owner financial institutions, payment networks, issuer processors, merchants, channels, agents, and strategic technology partners.
• Collaborate cross-functionally with Engineering, Risk, Marketing, Sales, Data, Legal, Compliance, Operations, and other stakeholders to ensure alignment and effective execution of the product roadmap.
• Influence senior leaders and external partners to drive adoption, resolve ambiguity, align on priorities, and scale platform capabilities across complex ecosystems.
• Lead and mentor a high-performing product organization, fostering a culture of innovation, collaboration, accountability, practical problem solving, and responsible risk management.

VP, Product Management – Tokenization & Identity

• resolve problems with end-to-end solutions in a fast, agile environment
• develop software and systems from vision to production-ready
• help clients overcome their most difficult challenges
• ensure solutions consider current architecture and future functionality

.NET Software Engineer

Data Scientist

• Use analytical skills and data science knowledge to create real-world impact
• Work closely with clients to understand their questions and needs
• Dig into their data-rich environments to find pieces of their information puzzle
• Develop algorithms and systems
• Use the right combination of tools and frameworks to turn sets of disparate data points into objective answers
• Provide a deep understanding of the data, meaning, and how it can be used

Full-stack Engineer

• Deploy AI models and services on cloud platforms such as AWS, Google Cloud, or Azure
• Collaborate with cross-functional teams, including data scientists, researchers, and other engineers, to integrate LLMs and RAG into broader projects
• Extend agentic capabilities, including agent orchestration and tools calling, using MCP and A2A
• Communicate technical concepts and project progress to non-technical stakeholders and team members
• Conduct experiments to fine-tune parameters and optimize model performance
• Implement techniques to improve the efficiency and scalability of LLM and RAG systems
• Stay up-to-date on the most current developments in the generative-AI space
• Monitor and maintain deployed models to ensure they perform reliably and meet performance benchmarks
• Ensure code quality by following best practices in software development, including version control, testing, and continuous integration or continuous deployment (CI / CD)

AI/ML Software Engineer

Network Engineer

• develop enterprise-wide infrastructure design
• troubleshoot and resolve complex network issues
• analyze current working infrastructures
• increase security, reliability, and availability for critical network systems
• guide our team of problem-solvers to help the DoD evolve and deploy new capabilities and technologies
• optimize client operations and modernization
• serve as a trusted advisor to clients on critical projects

Staff Engineer – Java/AWS

Staff Engineer – Java

Senior Lead Data Product Manager

Senior Endpoint Vulnerability Remediation Engineer – Contract

Linux Systems Engineer II – Contract

Senior Risk Management Manager – LOD1

Senior Director, Technology Product Management – Data & AI

Contracts Counsel

Product Security Engineer – Cloud

Product Security Engineer – Cloud

VP, Product Management – Tokenization & Identity

.NET Software Engineer

Data Scientist

AI/ML Software Engineer

Senior Network Engineer