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Senior Python Full Stack Developer Jobs in Springfield, PA

Next Step Systems

Full Stack Developer

Philadelphia, PA · On-site

  • Medical

  • Retirement

  • PTO

Full Stack Developer, Philadelphia, PA We are seeking a Full Stack Developer to work on a team building custom software for great customers using modern technologies and Agile methods. The Full Stack ...

TMS

Full Stack Java Developer

Fort Washington, PA · On-site

$65 - $70/hr

Senior Software Engineer (Java Full Stack) Location: Fort Washington, PA (Hybrid) Experience: 6 to 10 years Job Summary: We are seeking a highly skilled and adaptable Full Stack Developer with deep ...

Innosystech Inc

Full Stack Developer

Philadelphia, PA · On-site

$55 - $60/hr

VD0008 - Full Stack Developer Location: Philadelphia, Pennsylvania Work Model: Hybrid Must Haves * Proven experience as a Full Stack Developer with strong proficiency in Angular and Spring Boot

PTR Global

Full Stack Developer - Intermediate

Wilmington, DE · On-site

$50 - $55/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Junior Java Full Stack Developer - W2 Only Location: Wilmington, Delaware - Onsite Duration ... Strong knowledge of back-end technologies such as Node.js, Python, or Java, and experience with ...

Zortech Solutions

Full stack developer

Wilmington, DE · On-site

Full stack developer Location: Wilmington, DE ( 5 days onsite)- F2F required look for nearby Candidates (Only w2) 3 Round of Interview ( One can be onsite)\ Must have Skills : Java Spring with React ...

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Senior Python Full Stack Developer information

See Springfield, PA salary details

$56.1K

$122.4K

$173.1K

How much do senior python full stack developer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for senior python full stack developer in Springfield, PA is $122,449.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $142,400.00 per year, depending on experience, location, and employer.

What is a senior Python full stack developer?

Senior Python Full Stack Developers are experienced software engineers who specialize in both frontend and backend web development using Python and related technologies. They are responsible for designing, building, and maintaining complex web applications, often leading teams and making architectural decisions. Their expertise typically includes frameworks like Django or Flask for backend development, as well as JavaScript frameworks such as React or Angular for the frontend. In addition to coding, they often mentor junior developers and ensure best practices in software development. Their role requires a deep understanding of databases, APIs, deployment processes, and modern development workflows.

What are the key skills and qualifications needed to thrive as a senior Python full stack developer?

To thrive as a Senior Python Full Stack Developer, you need advanced proficiency in Python, JavaScript frameworks (such as React or Angular), database management, and a solid understanding of both front-end and back-end development principles, often backed by a degree in computer science or related experience. Familiarity with tools like Django or Flask, RESTful APIs, version control systems (e.g., Git), and cloud platforms is typically required. Excellent problem-solving abilities, effective communication, and the ability to mentor junior developers are standout soft skills for this role. These skills ensure robust, scalable applications and foster effective collaboration across technical teams, driving project success.

What are some common challenges faced by senior Python full stack developers when working on cross-functional teams?

Senior Python Full Stack Developers often collaborate with designers, product managers, and DevOps specialists, which can present challenges in aligning technical solutions with business goals and user experience expectations. Balancing backend performance with frontend responsiveness and maintaining clear communication across disciplines are key hurdles. Additionally, staying updated with rapidly evolving frameworks and ensuring code quality and scalability across the stack requires continual learning and adaptability. Successful developers proactively bridge these gaps by fostering open dialogue and advocating for best practices throughout the development process.

What is the difference between Senior Python Full Stack Developer vs Backend Developer?

AspectSenior Python Full Stack DeveloperBackend Developer
Required SkillsProficiency in Python, JavaScript, HTML/CSS, frameworks like Django/Flask, React or AngularStrong Python skills, experience with server-side development, databases, APIs
Work EnvironmentFull-stack development across front-end and back-end, often in agile teamsPrimarily server-side, database, and API development
Industry UsageTech companies, startups, enterprises needing full-stack solutionsWeb services, SaaS, enterprise applications

The main difference is that a Senior Python Full Stack Developer handles both front-end and back-end development, requiring skills in multiple technologies, while a Backend Developer focuses mainly on server-side logic, databases, and APIs. The full-stack role demands broader expertise, whereas backend roles are more specialized in server-side development.

What cities near Springfield, PA are hiring for Senior Python Full Stack Developer jobs?

Cities near Springfield, PA with the most Senior Python Full Stack Developer job openings:

Senior Python Full Stack Developer jobs near you

Senior Python Full Stack Engineer - Agentic AI

Whiz Global LLC

Wilmington, DE • On-site

Other

Posted 6 days ago

Job description

Senior Python Full Stack Engineer – Agentic AI

Location: Wilmington, DE
Duration: Contract
Work Model: Hybrid/Onsite as required
Experience: 7+ YearsJob Overview

We are seeking a Senior Python Full Stack Engineer with Agentic AI experience to join the CCB Digital – Connected Banking team. The engineer will work on modern SaaS platforms that are customer-facing and integrate with internal enterprise systems.

The team is actively building AI-powered agents to solve business use cases and improve software development and platform capabilities. The ideal candidate is a strong hands-on software engineer who can contribute to architecture and design discussions, perform code reviews, and develop scalable, production-quality applications.

This is an individual contributor role, not a people-management position.

Key Responsibilities

  • Design, develop, test, and maintain scalable full-stack applications using Python.

  • Build and integrate AI agents and Agentic AI capabilities into enterprise applications.

  • Work with technologies such as MCP (Model Context Protocol), Google ADK, and other AI-agent frameworks/tools.

  • Develop applications and services that integrate with AI agents and LLM-based solutions.

  • Participate in architecture, technical design, and code review discussions.

  • Develop scalable REST APIs and microservices.

  • Build cloud-native applications using AWS and containerized environments.

  • Develop and maintain applications deployed on Kubernetes/Docker platforms.

  • Work with Kafka/event streaming technologies for asynchronous and distributed systems.

  • Design and implement solutions using NoSQL databases.

  • Implement and maintain CI/CD pipelines and automated deployment processes.

  • Write comprehensive unit, integration, and automated tests.

  • Monitor applications and troubleshoot production issues using tools such as Splunk and Dynatrace.

  • Implement application monitoring, alerting, logging, and observability capabilities.

  • Apply AI-assisted development and code optimization techniques to improve developer productivity and accelerate delivery.

  • Collaborate with architects, product owners, developers, and other engineering teams in an Agile environment.

  • Ensure solutions meet enterprise standards for security, scalability, reliability, and performance.

Required Skills & Qualifications

  • 7+ years of professional software engineering experience.

  • Strong hands-on experience with Python development.

  • Strong experience in full-stack software development.

  • Experience building REST APIs, microservices, and cloud-native applications.

  • Hands-on experience with Agentic AI / AI Agents / Generative AI.

  • Experience with one or more of:

    • MCP (Model Context Protocol)

    • Google ADK

    • AI Agent frameworks

    • LLM integrations

    • Applications designed to interact with AI agents

  • Strong experience with AWS is preferred.

  • Experience with Kubernetes and Docker/containerization.

  • Experience with Kafka or other streaming/event-driven technologies.

  • Experience with NoSQL databases such as DynamoDB, MongoDB, Cassandra, or similar.

  • Strong understanding of CI/CD and DevOps practices.

  • Experience with automated testing and unit testing frameworks.

  • Experience with application monitoring and observability tools such as Splunk, Dynatrace, or similar.

  • Strong understanding of software design, development best practices, and scalable architecture.

  • Experience participating in code reviews and technical design discussions.

  • Strong problem-solving and communication skills.

Preferred Qualifications

  • Experience with AWS cloud services and cloud-native architecture.

  • Experience developing event-driven and distributed systems.

  • Experience with LLM-based application development and AI-powered business solutions.

  • Experience using AI coding assistants/tools for code optimization and developer productivity.

  • Experience with enterprise SaaS platforms.

  • Experience working in large-scale financial services or banking environments.

  • Experience with Agile/Scrum development methodologies.

Ideal Candidate Profile

The ideal candidate is a Senior-level hands-on engineer who combines strong Python/full-stack development skills with modern cloud and AI expertise. Candidates should be comfortable working independently, reviewing code, contributing to technical design decisions, and building production-ready applications involving AI Agents and Agentic AI.

Key Technologies:
Python | Agentic AI | AI Agents | MCP | Google ADK | AWS | Kubernetes | Docker | Kafka | NoSQL | CI/CD | REST APIs | Splunk | Dynatrace | Automated Testing

 

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