Top Python Jobs

Build and maintain full-stack wealth management platform features using Python and Angular or React. Design service-oriented architectures and REST/SOAP APIs, work with relational databases and ORMs, contribute to AWS or Azure cloud architecture, and deploy using container technologies. Collaborate in Agile/Scrum ceremonies, participate in code reviews and demos, and work independently with distributed teams.

Design and improve trading platforms with Python, support new trade functionality and integrations, monitor systems and infrastructure, respond to incidents, troubleshoot root causes, and optimize performance and reliability. Collaborate with quantitative researchers, engineers, senior leadership, and internal and external clients. The role also supports automation of accounting and operational workflows and requires understanding of market data and order-entry systems.

Develop and refactor Python-based web tooling for an edge-deployed monitoring and control platform for large-scale solar and battery systems. Participate in weekly sprints, improve edge performance and security, provide product feedback, and document features for sales and operations.

Develop and maintain Python-based applications, collaborate with cross-functional teams, write clean efficient code, debug and optimize performance, participate in code reviews, and follow development best practices.

The Senior Scala/Python Engineer designs and develops scalable back-end systems, architects APIs, optimizes databases, and mentors team members in functional programming practices, enhancing platform reliability and security.

Lead the development and implementation of data science solutions for clinical trials, oversee programming activities, and ensure data integrity.

Develop, test, and debug Python applications, APIs, automation scripts, and backend services. Use Git, work with PostgreSQL/MySQL, build microservices in AWS, participate in the SDLC, collaborate on requirements, document work, and adopt new tools and best practices. Maintain security and certification requirements.

Build and maintain complex backend APIs and system integrations using Python and TypeScript. The role requires 10+ years of backend engineering experience and collaboration with a U.S.-based team for at least 2–4 overlapping hours. Dental practice management system or healthcare integration experience is strongly preferred. Experience with GraphQL, Hasura, PostgreSQL, GCP, or AWS is valuable.

Design and develop scalable Python-based APIs, integrate AI/ML, deploy solutions on AWS, and collaborate in agile teams.

The Python API Developer will design and develop scalable Python APIs, integrate AI/ML models, deploy solutions on AWS, and collaborate with teams to enhance application performance.

The Python API Developer will design and build scalable, secure APIs, integrate AI/ML capabilities, and deploy solutions in AWS, collaborating with agile teams.

Develop and maintain scalable Python APIs, integrate AI/ML models, deploy solutions in AWS, and collaborate with cross-functional teams.

The Senior Software Engineer will design, develop, and maintain software applications using Python, C#, C++, and Linux, while collaborating with cross-functional teams to optimize performance and user experience.

The SAS to Python/R Migration Developer converts SAS code into Python/R, ensuring code accuracy and performing validations. The role involves data transformation, debugging, developing tests, and optimizing workflows while collaborating with stakeholders.

The Senior Python Engineer will design scalable software solutions, lead architectural discussions, collaborate with teams, and improve applications' performance.

Develop production-grade Python solutions to integrate with complex third-party APIs, parse and flatten messy data, automate infrastructure tasks, write and optimize PySpark transformations in Microsoft Fabric, build internal tooling/CLIs, and ensure code quality, testing, and CI/CD integration.

Build scalable Python-based tooling and infrastructure for autonomous vehicles, including systems for fleet management and vehicle communication. Design systems supporting multiple vehicle platforms and environments, collaborate across the autonomy stack, and support development, testing, and deployment of autonomy software.

Design, build, test, and maintain secure, scalable cloud-native full-stack applications for CBP. Develop backend services (Python, Java, Spring Boot), modern Angular frontends, RESTful APIs, and containerized microservices on AWS. Participate in Agile ceremonies, perform code reviews, mentor junior developers, optimize performance, and support SDLC activities to modernize enterprise systems and deliver high-quality software.

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, enhance, and support Python-based enterprise applications and automation on the Quartz platform. Build APIs, data-processing solutions, scheduled workflows, and automated test suites. Collaborate with business, architects, and operations to deliver scalable, resilient, and maintainable solutions, mentor engineers, automate releases, and contribute to platform modernization and cloud-native adoption.

Lead development and sustainment of compliance and business analytics tools for a government mission. Prototype and integrate ML/AI algorithms, automate compliance functions, build monitoring/metrics, and support RD proof-of-concepts while working in an Agile environment.

Build and own backend surfaces for Plane: APIs, data models, migrations, real-time sync (CDC/event streams), caching, and query performance. Instrument, monitor, and debug production incidents; collaborate with product and frontend teams across locations.

Build and maintain Python backend services and APIs for an economics engine: design scalable time-series processing, optimize MongoDB schemas and queries, deploy containerized services on GCP, ensure testability and code quality, use AI tooling to accelerate delivery, and own features end-to-end including monitoring and documentation.

Design and implement scalable backend and distributed systems for a marketing intelligence platform. Build near-real-time ingestion and processing, scale an incrementality/experimentation product, integrate AI-powered workflows, improve data ingestion/exports and connection-state systems, and contribute frontend components to deliver end-to-end product experiences.

The role involves developing applications, leading teams, and implementing machine learning systems, focusing on credit risk management and data analysis.