Top Remote Python Jobs in Philadelphia, PA

Design, develop, and maintain scalable Python applications and cloud-native solutions. Architect microservices, containerized deployments (Docker/Kubernetes), optimize cloud infrastructure, build CI/CD pipelines, integrate messaging systems, ensure security and high code quality, and mentor junior developers. Generative AI/ML experience is a plus.

Work as a Python development intern building applications and APIs, processing and analyzing data, working with databases and data pipelines, contributing to system architecture, writing clean documented code, and collaborating with the team. Strong emphasis on backend development, SQL, ORMs, and REST API design with potential conversion to full-time.

The Senior Full Stack Developer will design, develop, test, and debug software solutions, collaborating with teams and optimizing applications. Responsibilities include user interaction design, back-end functionality, and ensuring software scalability and security.

Develop, test, deploy, and support full-stack Python applications on AWS. Participate in design, estimation, code reviews, unit testing, sprint planning, and mentor junior engineers. Collaborate with architects, clients, and distributed teams to modernize applications, follow best practices, and document solutions.

The Principal Python Engineer will design, build, and maintain backend services and APIs, focusing on system reliability and engineering quality. The role involves working with databases, applying DevOps practices, and leveraging AI for development efficiency.

The Python Engineer will write maintainable Python software, lead technical initiatives, collaborate globally, and contribute to community engagement at Canonical.

Develop and maintain scalable Python backend applications and RESTful APIs. Optimize performance, design and manage SQL/NoSQL schemas, implement security/authentication, write tests, automate CI/CD tasks, and collaborate with front-end, product, and QA teams.

Develop, design, and deliver complex Python backend applications for acquiring, storing, and computing on large volumes of data. Lead feature implementation, ensure code quality via linting and automated tests, mentor junior developers, perform code reviews, collaborate with cross-functional teams, and troubleshoot production issues.

The Senior Python Engineer will develop and support MongoDB Python drivers, enhance library quality, and collaborate on product features.

The Data Engineer will develop and maintain ETL processes using Python and Azure Synapse, ensuring data quality, performance optimization, and documentation.

Develop and maintain Python applications focusing on iterators/generators/streams, concurrency (multithreading, non-blocking I/O), and high-precision numeric handling. Work with JSON/XML, REST and SOAP APIs, ACID-compliant databases, message brokers/queues, and produce clean, SOLID code. Unit and integration testing experience is beneficial.

Build and maintain API services for a decentralized exchange, design and implement trade routing logic for optimized cross-chain swaps, integrate features with cross-functional teams, monitor system performance and reliability, and troubleshoot trade execution and API issues.

Develop and maintain backend solutions, ensuring performance, security, and regulatory compliance, while collaborating in cross-functional teams.

Design and build applications using Python, manage component design, optimize performance, and collaborate with clients on innovative products.

Build and maintain Django-based web applications, design RESTful APIs, implement frontend features (HTML/CSS/JS), optimize performance and security, collaborate with cross-functional teams throughout the development lifecycle.

Build and maintain Python backend services and serverless architectures for a restaurant operations platform. Ship end-to-end features, design robust systems, and help define product roadmap. Implement CI/CD and productionization, collaborate with product and GTM teams, and contribute to team culture and technical execution.

Design and evaluate performance engineering tasks for AI training/evaluation. Optimize runtime, compilers, memory, CPU/GPU and concurrency. Produce documented solutions, evaluate AI-generated code, and build evaluation frameworks and scoring rubrics while collaborating with researchers and SMEs.

We are seeking a software engineer to build and validate resilient distributed systems, enhance CI pipelines, and improve testing strategies for cloud applications.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

Build and maintain scalable backend services in Python and Java (Spring Boot), develop responsive React frontends, integrate AI/GenAI (LLMs, RAG) using frameworks like LangChain/LlamaIndex, collaborate with cross-functional teams, troubleshoot and optimize systems, and ensure coding, security, and performance best practices.

Develop and maintain flight and ground station software for satellite communications subsystems. Design and validate constrained-hardware platform applications, improve test coverage and documentation, contribute to architecture and peer reviews, and provide expert support to satellite operations.

Lead backend development on the scheduling platform modernization, contribute across products, write APIs, and drive AI-accelerated software development workflows.

As a Senior Full Stack Software Engineer, you will design and maintain the core platform for sports betting, developing APIs and frontend features, optimizing performance, and ensuring compliance while mentoring junior engineers.

Lead backend development on the scheduling platform modernization. Contribute across Python and .NET ecosystems, write APIs, review code, and support AI-accelerated development workflows while collaborating in a remote team environment.

Lead Software Engineer responsible for designing, developing, testing, and maintaining a distributed processing application using Python and Java. Collaborate with product owners, data coaches, analysts, DBAs, and Agile teams to meet backend/frontend requirements, implement cloud and big-data solutions (Spark/Hadoop), and ensure program standards and reliable delivery.