Senior Cybersecurity Engineer (Python)

Salary Range: $123000.00 to $215250.00 annually bonus benefits

The above represents the expected salary range for this job requisition. Ultimately in determining your pay well consider your location experience and other job-related factors.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones physical financial and mental health as well as providing the flexibility you need to thrive personally and professionally:

• Competitive base salaries
• Bonus incentives
• 6% Company Match on retirement savings plan
• Free financial coaching and financial well-being support
• Comprehensive medical dental vision life insurance and disability benefits
• Flexible working model with hybrid onsite or virtual arrangements depending on role and business need
• 20 weeks paid parental leave for all parents regardless of gender offered for pregnancy adoption or surrogacy
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

For a full list of Team Amex benefits visit our Colleague Benefits Site.

American Express is an equal opportunity employer and makes employment decisions without regard to race color religion sex sexual orientation gender identity national origin veteran status disability status age or any other status protected by law. American Express will consider for employment all qualified applicants including those with arrest or conviction records in accordance with the requirements of applicable state and local laws including but not limited to the California Fair Chance Act the Los Angeles County Fair Chance Ordinance for Employers and the City of Los Angeles Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.

We back our colleagues with the support they need to thrive professionally and personally. Thats why we have Amex Flex our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs colleagues will either work onsite in a hybrid model (combination of in-office and virtual days) or fully virtually.

US Job Seekers - Click to view the Know Your Rights poster. If the link does not work you may access the poster by copying and pasting the following URL in a new browser window: eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.

At American Express our culture is built on a 175-year history of innovation shared values and Leadership Behaviors and an unwavering commitment to back our customers communities and colleagues. As part of Team Amex youll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills develop as a leader and grow your career.

Here your voice and ideas matter your work makes an impact and together you will help us define the future of American Express.

How will you make an impact in this role

The Data Analytics Solutions Emerging Technologies team is seeking a seasoned Senior Engineer with deep expertise in backend engineering and enterprise-scale data solutions for AI and Data Science. This role focuses on architecting and developing robust scalable backend APIs and data platforms that enable cutting-edge AI applications within Technology Risk and Information Security domains.

As a senior technical leader you will drive the design and implementation of scalable secure and highly performant backend servicesspanning data pipelines model serving and ongoing monitoring. Your influence will extend beyond coding to defining architecture principles enforcing best practices and mentoring engineers to deliver highly scalable production-grade systems aligned with enterprise goals.

Key Responsibilities

• Architect design and lead the development of scalable backend APIs and microservices that support AI/ML workflows model serving and inference pipelines at enterprise scale.
• Drive end-to-end backend engineering of data science pipelines model training orchestration inference services and data processing frameworks.
• Collaborate closely with data scientists and AI engineers to translate complex AI/ML requirements into performant maintainable backend systems.
• Lead architectural discussions conduct code reviews and provide technical mentorship within the engineering team promoting clean code reusable components and solid design patterns.
• Define and enforce API design standards security best practices versioning authentication/authorization and operational metrics to ensure backend services are robust secure and scalable.
• Integrate AI/ML solutions and APIs with enterprise infrastructure ensuring seamless integration governance and compliance.
• Champion best practices in MLOps DevSecOps and responsible AI design fostering a culture of engineering excellence.

• Stay current with emerging backend technologies cloud-native architectures and AI frameworks to continuously improve platform capabilities.

Required Qualifications

• Bachelors or Masters degree in Computer Science Engineering or a related technical field.
• 8 years of software engineering experience with 3 years in senior or lead backend roles focused on enterprise-scale systems.
• Strong backend engineering skills including API design microservices architecture service orchestration and distributed systems.
• Proven experience architecting and developing backend platforms and APIs to support AI/ML workloads including model serving and data pipelines.
• Proficiency in Python and backend frameworks; experience with cloud-native services (AWS Azure GCP) Kubernetes and Docker.
• Deep understanding of security best practices API versioning authentication/authorization and scalable service design.
• Experience mentoring engineers and driving architectural decisions in cross-functional teams.
• Familiarity with data infrastructure and streaming technologies such as Kafka Spark and databases (SQL/NoSQL/vector DBs).

Preferred Experience

• Full-stack development experience including frontend frameworks and UI integration with backend services is highly desirable.
• Hands-on experience with AI/ML frameworks such as TensorFlow PyTorch LangChain Hugging Face and AutoGen.
• Strong knowledge of MLOps tools like Kubeflow Argo MLflow and model deployment strategies.
• Background in cybersecurity or enterprise risk analytics.
• Experience building observability and monitoring solutions for backend services using Prometheus and ELK stack.
• Comfortable working with RESTful APIs GraphQL or gRPC in microservice ecosystems.

Tools & Technologies

• Languages: Python Java (optional) Go (optional)
• Frameworks & Libraries: Flask FastAPI Django TensorFlow PyTorch scikit-learn
• AI & GenAI: LangChain Hugging Face AutoGen Google ADK
• API Technologies: GraphQL gRPC OpenAPI/Swagger
• Security & Identity: OAuth2 JWT Vault
• MLOps & Orchestration: Kubeflow Argo Workflows MLflow Triton Inference Server
• Data Platforms: Kafka Spark NiFi SQL/NoSQL pgVector Milvus
• Cloud & Containers: AWS Azure GCP Kubernetes Docker
• Observability: Prometheus Elasticsearch Kibana
• CI/CD: Jenkins GitLab CI XL Release GitHub Actions