Software Security Engineer jobs at Paypal in France

Essential Responsibilities:

• Leverage specialized security expertise to identify and resolve complex security issues, recommending best practices and determining new approaches that have an impact on broader security operations, while aligning security strategies with business priorities
• Partner across teams and key stakeholders to drive security initiatives, leading and solutioning complex projects and programs to strengthen overall security posture.
• Apply advanced analytical skills and sound judgment to solve security challenges, considering diverse perspectives and innovative solutions. Stay current with industry trends and emerging technologies, understanding their security implications to the company’s context.
• Directly contribute to improvements within the security domain and occasionally beyond, ensuring decisions lead to meaningful enhancements in security practices.
• Leverage relationships across teams, both within and outside of security, to influence initiatives and integrate feedback into security processes.

Expected Qualifications:

• 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

• Lead and conduct security design, architecture, and code reviews, working directly with developers and product teams to ensure security is embedded throughout the SDLC.
• Influence product architecture and roadmap decisions to ensure security is treated as a core design element.
• Drive adoption of security standards and best practices across multiple product lines by mentoring engineers and providing scalable guidance.
• Guide the secure design and integration of AI and large language models (LLMs) in PayPal products and internal security tooling.
• Identify systemic sources of security debt and drive initiatives to remediate and prevent recurrence.
• Provide technical leadership in cross-functional initiatives, shaping architecture, tooling, and processes to raise the overall security bar across PayPal’s ecosystem.
• Scale security impact by developing automation and self-service tooling that enables teams to efficiently address security needs.
• Deliver targeted training and coaching that empowers teams to build securely at scale.
• Stay ahead of emerging threats and technologies, integrating learnings into threat models and product designs.
• Champion a culture of security by empowering teams to own and improve the security of their code and environments.

Minimum Qualifications:

• Expertise in application security vulnerabilities (e.g., OWASP Top 10) and secure coding practices.
• Track record of partnering with developers to remediate vulnerabilities and implement robust security controls.
• Strong written and verbal communication skills, with the ability to influence both technical and executive audiences.
• Experience mentoring and developing engineers.

Preferred Qualifications:

• Experience with application security tools (SAST, DAST, SCA, WAF, Burp Suite).
• Strong programming experience in at least one language such as Ruby, Java, Python, JavaScript, or Swift.
• Knowledge of Kubernetes, Terraform, and version control systems such as Git.
• Hands-on experience with at least one major cloud vendor (AWS, Azure, GCP).
• Strong understanding of authentication and authorization protocols (OAuth 2.0, SAML).

What you need to know about the role

If you bring innovative approaches to solving complex security challenges and want to shape the future of product security at global scale, this role is for you.

Responsibilities will be tailored based on business need, experience, and interest. In your day-to-day role, here are some activities you may be involved in:

• Conduct security design and code reviews, facilitate penetration testing, and contribute to threat models.
• Partner with engineers on secure coding, vulnerability remediation, and defensive design patterns.
• Develop and support in-house tooling (including AI-driven solutions) to scale product security reviews and governance.
• Implement, manage, and operate application security tools (SAST, DAST, SCA, etc.).
• Respond to product security incidents, driving root cause analysis and mitigation.
• Collaborate with developers and platform engineers to identify vulnerabilities and apply mitigating controls.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

Belonging at PayPal:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Implements tasks within the Software Development Lifecycle (SDLC), receiving structure and oversight from more experienced staff

• Follows well-established internal conventions and standard procedures

• Understands internal standards & processes an applies them to make technical decisions

• Collaborates with peers, manager, and project lead to gain understanding of tasks and review solutions

• May contribute to code & design reviews

Expected Qualifications:

• Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience.

Additional Qualifications:

• Strong foundation in programming concepts, object-oriented design, and data structures.

• Proficiency in Java with familiarity in frameworks such as Spring Boot, Spring MVC, and Hibernate.

• Understanding of web services and SOA principles (REST, OAuth, JSON) in Java environments.

• Experience with databases (SQL and/or NoSQL) and ORM tools.

• Familiarity with version control systems (e.g., Git) and agile methodologies.

• Strong analytical and problem-solving skills with attention to detail.

• Effective communication and collaboration skills with a willingness to learn from experienced engineers.

Preferred Qualifications:

• Experience with large-scale, high-performance distributed systems.

• Knowledge of the payment processing industry and relevant regulations.

• Familiarity with cloud platforms such as AWS, GCP, or Azure.

• Contributions to open-source projects or active participation in developer communities.

The total compensation for this position may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit

The U.S. national annual pay range for this role is $to $

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Develop and optimize machine learning models for various applications.
• Preprocess and analyze large datasets to extract meaningful insights.
• Deploy ML solutions into production environments using appropriate tools and frameworks.
• Collaborate with cross-functional teams to integrate ML models into products and services.
• Monitor and evaluate the performance of deployed models.

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
• Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
• Several years of experience in designing, implementing, and deploying machine learning models.

Responsibilities:

• Design, develop, and operationalize scalable machine learning and credit risk models, leveraging PySpark and advanced modeling frameworks.

• Build, train, and optimize statistical and deep learning models focused on credit scoring, fraud detection, and portfolio risk management.

• Collaborate cross-functionally with credit risk analysts, data engineers, and business teams to translate analytical requirements into production-grade credit modeling solutions.

• Ensure model robustness, accuracy, and compliance through rigorous validation, back-testing, and performance monitoring.

• Develop and maintain automated ML pipelines for data ingestion, feature engineering, model training, and deployment across large-scale credit datasets.

• Implement and enhance MLOps practices, including model integration, model monitoring.

• Research and experiment with innovative modeling techniques (e.g., gradient boosting, neural networks, graph-based learning) to improve credit decisioning capabilities.

• Mentor junior team members, conduct peer code reviews, and promote engineering excellence within the credit modeling domain.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Statistics, or a related quantitative field.

• 6+ years of experience in machine learning model development and deployment, preferably in the financial services or credit risk domain.

• Strong programming proficiency in Python and SQL, with hands-on experience using PySpark for large-scale data processing.

• Deep understanding of ML frameworks such as TensorFlow, Keras, or PyTorch.

• Expertise in distributed computing, scalable data pipelines, and model optimization techniques.

• Proven experience deploying models in production cloud environments (AWS, GCP, or Azure).

• Demonstrated ability to write clean, well-documented, and production-ready code.

Preferred Qualifications:

• Experience in credit risk modeling.

• Understanding of model governance frameworks, ML explainability (e.g., SHAP, LIME), and regulatory compliance.

• Familiarity with feature store architectures, model drift detection, and automated model retraining workflows.

• Knowledge of data privacy and compliance practices relevant to credit data.

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Actively participate in the technical discovery phase with customers to understand their needs and requirements.
• Assist customers during the integration and onboarding process, ensuring smooth and successful deployment of solutions.
• Explain complex technical concepts to C-level executives and non-technical audiences, ensuring they understand PayPal's technology and value proposition.
• Record and review the solutioning process with the integration team to ensure technical and business requirements are met.
• Represent the technical voice of the customer internally, participating in product design and roadmap reviews to ensure customer needs are addressed.

Expected Qualifications:

• Minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent experience.

• Minimum 5 years of experience as a presales consultant, solutions engineer, technical account manager, systems architect, or similar position.

• At least 3 years of experience working directly with large enterprise clients is preferred.

• Industry experience with payments, merchant services, e-commerce, and/or retail.

• Working knowledge of API and web technologies (REST, GraphQL, JavaScript).

• Strongrelationship-buildingskills with internal and external partners and a passion for collaborating on complex projects in a team environment.

• Excellent written and oral communication skills in English. Comfortable presenting to C-level executive audiences.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Lead complex data engineering projects, ensuring they meet business objectives and deliver actionable insights.
• Develop advanced data architectures and pipelines to analyze large datasets and solve complex business problems.
• Collaborate with senior leadership to identify data-driven opportunities for business growth and efficiency.
• Implement best practices for data management, analysis, and visualization.
• Ensure data governance and compliance with relevant regulations and standards.
• Provide mentorship and technical guidance to the data engineering team.

Expected Qualifications:

• 8+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

To successfully execute on cross-org initiatives that elevate data engineering, we need a T27 who can innovate, drive technical strategy, and ensure that our systems are scalable, efficient, and aligned with GCSC Risk’s broader goals.

As the Senior Staff Engineer, Global Risk Data Management within the Credit Infrastructure and Data organization, you will implement common data practices across functional areas that drives standardization, quality, ease of access, accelerates governance practices by treating data as a product and facilitates a data-driven culture across PayPal where data is considered a strategic asset and treated accordingly-with the proper controls and quality.

Position Responsibilities:

• Must be a self-starter, work independently or as a team member. Proactively remove obstacles to ensure timely delivery of product and goals

• Write clean and solid code that scales overPB of dataand enforce engineering excellence in the organization

• Improve data management efficiency through AI capabilities, better process and best practices

• Embed Privacy-by-Design principles into all data solutions and ensure compliance with regulatory requirements.

• Provide expertise across the data product development lifecycle—spanning data engineering, architecture, and analytics—to design and deliver reusable, accessible, and high-quality data solutions.

• Design data structures and taxonomies that support standardization, integration, and alignment with business processes.

• Deliver technical leadership through analytical thinking, innovation, and detailed specifications.

• Drive data product execution and adoption through a metrics-based approach

• Define and communicate data strategy for credit products, aligned with PayPal’s technical direction, evolving credit strategies, and the external data ecosystem

• Strong product sense to identify data challenges and opportunities, and assess the impact of data-driven solutions

• Leverage enterprise frameworks, governance tools, and reusable architecture patterns for Credit Risk and cross organizations

• Foster influential cross-functional relationships through collaboration, proactive planning, and decisive leadership to design scalable solutions across platforms and products.

Technical Leadership Qualities:

• Strong collaboration skills and ability to influence across all organizations and levels within the company

• Ability to communicate clearly and succinctly to all levels within the organization- translating the organizations goals into execution plans & metrics

• Possess the ability to connect, engage and lead with empathy

• Motivate others through a shared vision and confidence that empowers employees and teams to perform at their best

• Demonstrate ability to delegate work

• Operate with transparency and honesty in all interactions

Qualifications

• 12+ years of experience in enterprise data management, with deep expertise across disciplines including data governance, data architecture, and more.

• Experience with data management and governance tools and technologies

• Experience with enabling data products within large organizations

• Proven experience independently developing and implementing recommended approaches to complex/ambiguous problems while making thoughtful trade-offs

• Deep understanding and hands-on experience in data platforms

• Strong technical acumen, being able to quickly understand technical details of a product or platform

• Strong execution skills-ability to deliver results

• Excellent verbal and written communication and collaboration skills to effectively communicate across diverse groups within PayPal

• Comfortable working in a fast-paced, results-oriented environment

• Shows initiative and exhibits a “can-do” attitude

• Demonstrated willingness to be flexible and adaptable to changing priorities with the ability to motivate in a cross-functional organization

• Able to see the “big picture”-the end-to-end connection points associated with data and systems

• Exhibit a passion for Data Management and Analytics

• Strong business acumen and interest to deeply understand PayPal’s credit use cases, data producers and data consumers’ needs/pain points

Bonus Qualifications

• Familiarity with AI/ML pipelines or AI-enhanced data systems (data discovery, data quality monitoring, or integrating ML into ETL flows)

• Passion for bridging the gap between data engineering and machine learning engineering.

• Experience enabling ML/AI workloads, such as building feature stores, training data pipelines, or model monitoring infrastructure.

• Experience in financial services, with a strong preference for exposure to the credit risk domain.

Education:

• BS or advanced degree in Engineering, Computer Science, or related technical field.

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Implements tasks within the Software Development Lifecycle (SDLC), receiving structure and oversight from more experienced staff
• Follows well-established internal conventions and standard procedures
• Understands internal standards & processes an applies them to make technical decisions
• Collaborates with peers, manager, and project lead to gain understanding of tasks and review solutions
• May contribute to code & design reviews

Expected Qualifications:

• 1+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Acts as a project or system leader, coordinating the activities of other engineers on the project or within the system
• Determines the technical tasks that other engineers will follow
• Actions result in the achievement of customer, operational, program or service objectives
• Proactively improves existing structures & processes
• Exercises judgement in reconciling diverse and competing priorities (time, quality, complexity risk) to identify optimal solutions to problems
• Notices patterns and condenses repetition into densely meaningful generalized solutions
• Collaborates with management to set/improve standards for engineering rigor
• Trusted to represent PayPal, Inc to the outside world via interactions with partners, customers, or industry organizations

Expected Qualifications:

• Minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent experience.

What You’ll Do

• Build, test, and ship web features for

  Pay with Venmo
  and
  Business Profiles
  using TypeScript, React, and Next.js.

• Design and maintain backend services (Node.js, Python, GraphQL) that power those experiences.

• Champion performance and accessibility; measure what matters and keep our pages fast for every user.

• Help modernize our stackmoving to server‑side rendering with React Server Components, rolling out edge caching, and tightening DevOps pipelines.

• Set clear engineering standards around testing, observability, and incident response.

• Pair with product, design, compliance, and data teams to turn fuzzy ideas into shipped features.

• Mentor other engineers through code reviews, design sessions, and thoughtful feedback.

• Explore ways AI can improve both the developer workflow (AI‑pairing, code generation) and the end‑user experience (personalized offers, smarter search).

What We’re Looking For

• 8+ years building production web applications, with at least 2 years at senior or staff level.

• Deep knowledge of modern React (hooks, context, Suspense) and TypeScript.

• Experience designing or evolving backend APIsREST and GraphQLand the services behind them.

• A track record of raising the technical bar: introducing better architecture patterns, automated tests, and code‑review culture.

• Familiarity with build and deploy tooling (Webpack/Vite, CI/CD, containerization, cloud services).

• Comfort navigating ambiguity and explaining trade‑offs in plain language to both technical and non‑technical partners.

• An inclusive mindsetyou help teammates grow and make decisions that serve a diverse user base.

Nice to Have

• Payments, risk, or fintech domain experience.

• Prior work on design systems or component libraries.

• Exposure to edge computing or serverless architectures (Cloudflare Workers, AWS Lambda).

• Contributions to open‑source projects, conference talks, or technical writing.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

Our Benefits:

Any general requests for consideration of your skills, please