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Senior Python Full Stack Developer information
See Springfield, PA salary details
$56.1K - $66.8K
6% of jobs
$66.8K - $77.4K
1% of jobs
$77.4K - $88K
3% of jobs
$88K - $98.7K
9% of jobs
$103K is the 25th percentile. Wages below this are outliers.
$98.7K - $109.3K
14% of jobs
The median wage is $118K / yr.
$109.3K - $119.9K
20% of jobs
$119.9K - $130.6K
12% of jobs
$139.9K is the 75th percentile. Wages above this are outliers.
$130.6K - $141.2K
11% of jobs
$141.2K - $151.8K
11% of jobs
$151.8K - $162.5K
10% of jobs
$162.5K - $173.1K
3% of jobs
$56.1K
$122.4K
$173.1K
How much do senior python full stack developer jobs pay per year?
What is a senior Python full stack developer?
What are the key skills and qualifications needed to thrive as a senior Python full stack developer?
What are some common challenges faced by senior Python full stack developers when working on cross-functional teams?
What is the difference between Senior Python Full Stack Developer vs Backend Developer?
| Aspect | Senior Python Full Stack Developer | Backend Developer |
|---|---|---|
| Required Skills | Proficiency in Python, JavaScript, HTML/CSS, frameworks like Django/Flask, React or Angular | Strong Python skills, experience with server-side development, databases, APIs |
| Work Environment | Full-stack development across front-end and back-end, often in agile teams | Primarily server-side, database, and API development |
| Industry Usage | Tech companies, startups, enterprises needing full-stack solutions | Web 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:
Other
Posted 6 days ago
Job description
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.
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Build and integrate AI agents and Agentic AI capabilities into enterprise applications.
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Work with technologies such as MCP (Model Context Protocol), Google ADK, and other AI-agent frameworks/tools.
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Develop applications and services that integrate with AI agents and LLM-based solutions.
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Participate in architecture, technical design, and code review discussions.
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Develop scalable REST APIs and microservices.
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Build cloud-native applications using AWS and containerized environments.
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Develop and maintain applications deployed on Kubernetes/Docker platforms.
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Work with Kafka/event streaming technologies for asynchronous and distributed systems.
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Design and implement solutions using NoSQL databases.
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Implement and maintain CI/CD pipelines and automated deployment processes.
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Write comprehensive unit, integration, and automated tests.
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Monitor applications and troubleshoot production issues using tools such as Splunk and Dynatrace.
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Implement application monitoring, alerting, logging, and observability capabilities.
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Apply AI-assisted development and code optimization techniques to improve developer productivity and accelerate delivery.
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Collaborate with architects, product owners, developers, and other engineering teams in an Agile environment.
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Ensure solutions meet enterprise standards for security, scalability, reliability, and performance.
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7+ years of professional software engineering experience.
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Strong hands-on experience with Python development.
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Strong experience in full-stack software development.
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Experience building REST APIs, microservices, and cloud-native applications.
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Hands-on experience with Agentic AI / AI Agents / Generative AI.
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Experience with one or more of:
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MCP (Model Context Protocol)
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Google ADK
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AI Agent frameworks
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LLM integrations
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Applications designed to interact with AI agents
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Strong experience with AWS is preferred.
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Experience with Kubernetes and Docker/containerization.
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Experience with Kafka or other streaming/event-driven technologies.
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Experience with NoSQL databases such as DynamoDB, MongoDB, Cassandra, or similar.
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Strong understanding of CI/CD and DevOps practices.
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Experience with automated testing and unit testing frameworks.
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Experience with application monitoring and observability tools such as Splunk, Dynatrace, or similar.
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Strong understanding of software design, development best practices, and scalable architecture.
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Experience participating in code reviews and technical design discussions.
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Strong problem-solving and communication skills.
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Experience with AWS cloud services and cloud-native architecture.
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Experience developing event-driven and distributed systems.
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Experience with LLM-based application development and AI-powered business solutions.
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Experience using AI coding assistants/tools for code optimization and developer productivity.
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Experience with enterprise SaaS platforms.
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Experience working in large-scale financial services or banking environments.
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Experience with Agile/Scrum development methodologies.
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
About Whiz Global
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Atlanta, GA, US