Top Python Jobs in Boston, MA

Lead a portfolio of technology projects with a team of developers to create solutions for regulatory needs, collaborating on cloud-based projects while mentoring engineers.

Lead diverse technology projects in distributed microservices and full stack systems, mentoring team members and collaborating with product managers on cloud-based solutions.

Develop, test, deploy, and maintain internal Python tooling and Django projects. Work with senior engineers on requirements, code, CI/CD pipelines, troubleshooting, bug fixes, and releases while following development best practices and contributing to a DevSecOps team.

Lead ownership of Pluralsight's Search backend: build and maintain scalable, reliable ingestion and query systems, design and analyze experiments, consume and produce platform data, collaborate cross-functionally, and participate in on-call rotation to resolve alerts and improve the system.

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.

Lead a team to develop distributed systems using Golang and Python on Kubernetes, collaborate on AI/ML solutions, and drive technological innovation.

Lead a team of developers to build technology projects using microservices and full stack systems, focusing on cloud-based solutions and mentoring team members.

Build and maintain Python tools for web scraping, automation, integrations (Airbnb, marketplaces), ad automation, chatbots (Chatwoot), workflow automation (Spiffworkflow), automated tests, and data analysis.

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.

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, 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.

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.

Maintain and improve the LangChain Python package, enhance documentation, assist users, and build example applications.

Lead the technical direction for integrating algorithms on the Prism Mapping platform, focusing on real-time signal pipelines and optimization strategies. Collaborate with teams to ensure robust clinical performance and timely delivery of new capabilities.

As a Senior Software Engineer, you'll develop signals and algorithm interfaces, collaborate with developers, optimize algorithms, and mentor engineers in a regulated environment.

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

Design, build, and scale event-driven, distributed backend systems in Python to extract and enrich metadata at massive scale. Lead architecture, mentor engineers, integrate ML/LLM components, optimize performance, and ensure observability and reliability across AWS-based pipelines.

Design, implement, and scale event-driven, distributed backend systems in Python on AWS to process and enrich large-scale document and media datasets. Lead technical projects, mentor engineers, integrate ML/LLM components, optimize performance, maintain observability, and collaborate with Data Science, ML Engineering, and Product to deliver reliable high-throughput content processing services.

Design, build, and optimize event-driven, distributed backend systems and APIs in Python for large-scale content metadata extraction and enrichment. Deploy and operate resilient AWS-based pipelines, collaborate with ML teams to integrate models, and ensure system performance, observability, and data integrity.

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.

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.

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

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.

The Principal Python Backend Engineer will design and build high-performance backend systems for AI/ML services, focus on clean code, maintainability, and automation, while leading teams through a collaborative and innovative approach.