10000 Full stack development Jobs

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With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers’ digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology on #TeamAmex.

How will you make an impact in this role?

Enterprise Essentials team within Financial Data Engineering is hiring for a highly skilled Senior Engineer with expertise in Python Full Stack Development, Generative AI, Data Engineering, and Natural Language Processing. The Senior Engineer will be working on creating new capabilities, and modernizing existing ones in the domain of Global Tax, Finance and GSM Conversational AI platforms, and Enterprise essential products like Balancing and Control, Concur, and Ariba.

The ideal candidate will be responsible for designing, developing, and maintaining scalable AI-driven applications and data pipelines. This role requires a deep understanding of NLP techniques, modern AI frameworks, data engineering best practices, and full-stack development to build innovative solutions that leverage machine learning and AI technologies.

Key Responsibilities:

Full Stack Development:

• Design and develop scalable and secure applications using Python framework, and front-end technologies such as React.
• Implement and optimize microservices , APIs, and server-side logic for AI-based platforms.
• Develop and maintain cloud-based, containerized applications (Docker, Kubernetes).
• Design, optimize, and deploy high-performance systems ensuring minimal latency and maximum throughput.
• Architect solutions for real-time processing, ensuring low-latency data retrieval and high system availability.
• Troubleshoot and enhance system performance, optimizing for large-scale, real-time AI applications.
  

Generative AI / Machine Learning:

• Develop, and deploy innovative solutions in Tax, and finance using ML & Generative AI models leveraging frameworks such as langchain.
• Implement NLP algorithms for language understanding, text summarization, information extraction, and conversational agents.

• Create pipelines for training and deploying AI models efficiently in production environments.
• Collaborate with data scientists to optimize and scale AI/NLP solutions.
• Integrate AI/ML models into applications, ensuring proper scaling, optimization, and monitoring of models in production.
• Design solutions that enable fast and efficient inference for real-time AI applications.
• Implement MLOps practices for continuous integration and continuous deployment of AI models.

Data Engineering:

• Build and maintain data pipelines to support AI/ML model development and deployment.
• Design and develop ETL processes to ingest, clean, and process large-scale structured and unstructured datasets.
• Work with data storage and retrieval solutions like SQL/NoSQL databases, data lakes, and cloud storage (GCP, AWS, or Azure).
• Ensure data integrity, security, and performance of the data pipelines.

Collaboration & Leadership:

• Lead cross-functional teams to deliver high-quality, AI-driven products.
• Mentor junior engineers and collaborate with product managers, data scientists, and business stakeholders to ensure alignment with project goals.
• Keep up-to-date with the latest advancements in AI, NLP, and data engineering, and provide technical guidance to the team.
• Takes accountability for the success of the team achieving their goals

• Drives the team’s strategy and prioritizes initiatives

• Influence team members by challenging status quo, demonstrating risk taking, and implementing creative ideas.
• Be a productivity multiplier for your team by analyzing your workflow and contributing to enable the team to be more effective, productive, and demonstrating faster and stronger results.
• Mentor and guide team members to success within the team

Preferred Qualifications:

• Experience working with large-scale AI systems in production environments.
• Familiarity with modern AI research and developments in Generative AI and NLP.
• Strong understanding of DevOps and Infrastructure-as-Code (Terraform, Ansible).
• Proven track record of delivering AI-driven products that scale.

Benefits:

• Competitive salary and performance-based bonuses.
• Flexible working hours and a hybrid work environment.
• Opportunity to work on cutting-edge AI and NLP technologies.
• Professional development opportunities, including certifications and conference participation.

Minimum Qualifications

• Education: Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or a related field.

• 9+ years of experience in software engineering in architecture and design (architecture, design patterns, reliability and scaling) of new and current systems

• Strong experience in developing software in Python, data engineering, and AI/NLP solutions and demonstrated ability to quickly learn new languages

Preferred Qualifications

• Expertise in Python, JavaScript (React), HTML, CSS.

• Proficiency in data engineering tools and frameworks like Apache Spark, Kafka, Hadoop.

• Experience with RESTful API design, microservices architecture, and cloud platforms (AWS / GCP / Azure).

• Proficiency with containerization (Docker, Kubernetes), CI/CD pipelines, and version control.

• Understanding of MLOps practices will be a plus.

• Familiarity with Generative AI models and frameworks (e.g., GPT, DALL-E).

• Knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) will be a plus

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• Competitive base salaries 
• Bonus incentives 
• Support for financial-well-being and retirement 
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) 
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 
• Generous paid parental leave policies (depending on your location) 
• 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

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.  

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.