Python Full stack engineer

Job Title: Java Full Stack Developer with Python

Location: Richmond, VA (Hybrid Preferred)
Position Type: Contract or Full-Time (Flexible based on candidate)
Start Date: ASAP
Work Authorization: Open
Experience: Ex-Capital One preferred

Job Overview:

We are seeking an experienced and dynamic Java Full Stack Developer with Python expertise to join our fast-paced technology team in Richmond, VA. The ideal candidate will bring strong software engineering experience, with proven success at Capital One or similar enterprise-level environments, and be comfortable working across front-end and back-end stacks, as well as with Python for data processing and API development.

Key Responsibilities:

• Design, build, and maintain scalable web applications using Java (Spring Boot) and Python
• Develop responsive UI components using Angular, React, or Vue.js
• Build RESTful APIs and microservices to support application features
• Work with SQL and NoSQL databases for efficient data storage and retrieval
• Integrate third-party APIs and internal services into full-stack solutions
• Apply CI/CD practices using tools like Jenkins, Docker, and Kubernetes
• Write unit and integration tests; support TDD and Agile practices
• Collaborate with cross-functional teams including Product, Design, and QA
• Participate in code reviews and ensure adherence to best practices and security standards

Required Skills:

• 6 years of hands-on development experience in Java (Spring Boot)
• 3 years of experience using Python for scripting, data handling, or service development
• Strong front-end development skills in React, Angular, or Vue.js
• Experience with REST APIs, microservices, and backend integration
• Solid understanding of SQL and NoSQL databases (PostgreSQL, MongoDB, DynamoDB)
• Familiarity with AWS (Lambda, S3, EC2, API Gateway) or Azure
• Experience with Docker, Kubernetes, and CI/CD pipelines
• Git version control, Agile/Scrum methodologies
• Excellent communication and problem-solving skills

Preferred Qualifications:

• Previous experience working at Capital One
• Exposure to data pipelines, Spark, or big data technologies
• Experience with Kafka, Airflow, or message-driven architectures
• Familiarity with Terraform, Ansible, or cloud infrastructure as code
• Knowledge of machine learning pipelines or data science workflows (plus)

Work Environment:

• Hybrid work model preferred (Richmond, VA area)
• Collaborative, Agile team structure
• Fast-paced environment with opportunities for innovation and impact