Senior Application Developer

Intepros; Philadelphia (Philadelphia County); On-site; USD 110,000 - 150,000; Full time

Job summary

Intepros is seeking a Senior Application Developer to design, develop, and support modern enterprise web applications. You will work across front-end and back-end development and collaborate closely with UX/UI, architecture, product, and engineering teams to deliver scalable, cloud-based applications.

The ideal candidate is a strong full-stack engineer with experience in Java, Angular, Python, and cloud technologies who is comfortable working in a modern development environment increasingly

Qualifications

• Strong full-stack development experience with Java and modern frameworks (Spring/Spring Boot).
• Experience with Python for application development and integrations.
• Experience deploying in AWS, Azure, or another major cloud platform.
• Understanding of REST APIs, microservices, and distributed architectures.
• Familiarity with Git, CI/CD, automated testing, and DevOps practices.
• Solid grasp of modern UX/UI and responsive web development.

Responsibilities

• Design, develop, test, and support enterprise web applications across front-end and back-end layers.
• Build backend services with Java and related frameworks; develop RESTful APIs and microservices.
• Utilize Python for integrations, automation, and AI use cases; explore Generative AI capabilities.
• Develop and deploy in cloud environments (AWS/Azure); ensure scalable, secure solutions.
• Collaborate with UX/UI, architecture, product, and engineering teams; participate in code reviews.

Skills

Java

Spring/Spring Boot

Python

REST APIs

Microservices

DevOps

CI/CD

AWS

Azure

Databases

Security/Performance

UX/UI

Tools

Git

CI/CD Pipelines

Containers/Kubernetes

Serverless

Job description

We are seeking a Senior Application Developer to design, develop, and support modern enterprise web applications. This individual will work across front-end and back-end development and collaborate closely with UX/UI, architecture, product, and engineering teams to deliver scalable, cloud-based applications.

The ideal candidate is a strong full-stack engineer with experience in Java, Angular, Python, and cloud technologies who is comfortable working in a modern development environment increasingly leveraging AI and Generative AI capabilities.

Key Responsibilities

• Design, develop, test, and support modern enterprise web applications.
• Design and develop backend applications and services using Java and related frameworks.
• Utilize Python for application development, integrations, automation, and emerging AI use cases.
• Build and integrate RESTful APIs and microservices.
• Develop and deploy applications within modern cloud environments.
• Partner closely with UX/UI teams to translate designs and business requirements into intuitive user experiences.
• Participate in application architecture, technical design, code reviews, testing, and deployments.
• Troubleshoot complex application and production issues.
• Develop secure, scalable, maintainable, and reusable application components.
• Work within Agile and DevOps environments utilizing modern CI/CD practices.
• Collaborate across engineering, architecture, QA, product, and business teams.
• Evaluate and incorporate AI/Generative AI capabilities and AI-assisted development practices where appropriate.
• Provide technical guidance and mentorship to other developers.

Technical Qualifications

• Strong professional development experience with Java and modern Java frameworks such as Spring/Spring Boot.
• Experience with Python.
• Experience developing and deploying applications in AWS, Azure, or another major cloud platform.
• Strong understanding of REST APIs, microservices, and distributed application architectures.
• Experience with Git, CI/CD pipelines, automated testing, and modern DevOps practices.
• Strong understanding of modern UX/UI and responsive web development principles.
• Experience with relational and/or NoSQL databases.
• Understanding of application security, performance, scalability, and maintainability.

Preferred / Differentiating Experience

• Experience building or integrating Generative AI/LLM capabilities into enterprise applications.
• Exposure to RAG, prompt engineering, AI agents/workflows, vector search/databases, or LLM APIs.
• Experience with cloud-native architecture, containers, Kubernetes, and serverless technologies.
• Experience modernizing legacy applications into cloud-native architectures.
• Healthcare or health insurance industry experience.
• Experience working within a large enterprise technology organization.