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Senior Python Developer (API/AI) – Banking, Capital Markets & Financial Data Platforms
Macpower Digital Assets Edge Private Limited
🇺🇸 United States
On-site
Senior
5 days ago
$90 – $110 / hour
- Python
- AI
- Machine Learning
- REST API
- Microservices
- Devops
- SQL
- CI/CD
- FastAPI
- Flask
- Django
- OAuth2
- JWT
- OpenID Connect
- SAML
- Object Oriented Programming
- SOAP
- PostgreSQL
- Oracle
- MySQL
- Snowflake
- Docker
- Kubernetes
- Git
- GitHub
- Bitbucket
- GitLab
- Agile
- Scrum
- OpenAI
- Azure OpenAI
- Anthropic Claude
- Google Gemini
- Large Language Models
- RAG
- TensorFlow
- PyTorch
- LangChain
- LlamaIndex
- Hugging Face
- scikit-learn
- AWS
- Azure
- GCP
- Apache Kafka
- RabbitMQ
- Redis
- Pandas
- NumPy
- PySpark
- Apache Spark
- Swift
- Prometheus
- Grafana
- Elastic Stack
- Splunk
- Identity Management
- Bash
- JavaScript
- GraphQL
- OpenAPI
- Swagger
- gRPC
- MongoDB
- Jenkins
- GitHub Actions
- Azure DevOps
- Terraform
- pytest
- Unit Testing
- Integration Testing
- AI/ML
- Claude
- AML
- KYC
5 days ago
Key Responsibilities:
- Design, develop, and maintain enterprise-scale Python applications supporting banking, payments, lending, wealth management, trading, or financial services platforms.
- Architect and build secure, scalable RESTful APIs and microservices for internal and external financial applications.
- Develop API integrations with third-party banking platforms, payment gateways, financial data providers, and cloud services.
- Design highly available distributed systems capable of processing high transaction volumes with low latency.
- Build reusable Python frameworks, libraries, and automation tools that improve development productivity and code quality.
- Collaborate with solution architects, product managers, business stakeholders, QA teams, and DevOps engineers throughout the software development lifecycle.
- Optimize application performance, scalability, security, and reliability across enterprise environments.
- Develop and optimize SQL queries, stored procedures, and data processing pipelines supporting large financial datasets.
- Participate in architectural reviews, code reviews, and technical design sessions while mentoring senior and junior developers.
- Implement CI/CD pipelines and automated testing to improve deployment quality and software reliability.
- Ensure applications comply with banking security standards, regulatory requirements, and enterprise governance policies.
- Troubleshoot complex production issues and provide technical leadership for mission-critical applications.
- 15+ years of professional software development experience.
- 10+ years of hands-on Python development experience building enterprise applications.
- Extensive experience designing and developing RESTful APIs and microservices.
- Strong knowledge of FastAPI, Flask, Django, or similar Python frameworks.
- Experience building secure API authentication using OAuth2, JWT, OpenID Connect, or SAML.
- Strong experience working within Banking, Capital Markets, Payments, Wealth Management, Investment Banking, or Financial Services organizations.
- Deep understanding of object-oriented programming, software architecture, and design patterns.
- Experience integrating enterprise applications through REST APIs, SOAP services, message queues, and event-driven architectures.
- Strong SQL skills with experience using PostgreSQL, Oracle, SQL Server, MySQL, or Snowflake.
- Experience with asynchronous programming, multithreading, and performance optimization.
- Familiarity with Docker, Kubernetes, containerized deployments, and microservices architecture.
- Experience using Git, GitHub, Bitbucket, or GitLab for version control.
- Experience working within Agile/Scrum development teams.
- Strong communication and stakeholder management skills.
- Experience developing AI-powered applications using OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, or other Large Language Models (LLMs).
- Experience integrating AI capabilities into enterprise applications using Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, semantic search, or vector databases.
- Knowledge of machine learning frameworks such as TensorFlow, PyTorch, LangChain, LlamaIndex, Hugging Face, or Scikit-learn.
- Experience with cloud platforms including AWS, Azure, or Google Cloud Platform.
- Experience working with Apache Kafka, RabbitMQ, Redis, or other event-streaming technologies.
- Experience building data pipelines using Pandas, NumPy, PySpark, or Apache Spark.
- Familiarity with financial messaging standards including ISO 20022, FIX Protocol, or SWIFT.
- Experience implementing observability using Prometheus, Grafana, ELK Stack, or Splunk.
- Knowledge of cybersecurity best practices, encryption, identity management, and secure coding standards.
- Programming: Python, SQL, Bash, JavaScript (preferred)
- Frameworks: FastAPI, Flask, Django
- API Development: REST, GraphQL, OpenAPI, Swagger, gRPC
- Cloud: AWS, Microsoft Azure, Google Cloud Platform
- Containers: Docker, Kubernetes
- Databases: PostgreSQL, Oracle, SQL Server, MySQL, MongoDB, Redis
- Messaging: Kafka, RabbitMQ
- DevOps: Jenkins, GitHub Actions, Azure DevOps, Terraform
- Testing: PyTest, Unit Testing, Integration Testing, API Testing
- AI/ML: OpenAI, Azure OpenAI, Claude, LangChain, LlamaIndex, Hugging Face, Vector Databases, RAG
- Monitoring: Grafana, Prometheus, Splunk, ELK Stack
- Commercial Banking
- Retail Banking
- Investment Banking
- Capital Markets
- Payments
- Digital Banking
- Treasury Services
- Lending
- Credit Risk
- Wealth Management
- Trading Platforms
- Regulatory Reporting
- AML / KYC
- Fraud Detection
- Financial Data Platforms
Senior Python Developer (API/AI) – Banking, Capital Markets & Financial Data Platforms · Macpower Digital Assets Edge Private Limited