Top Senior Python Jobs

A Senior Python Developer responsible for integrating applications, building APIs, microservices, and mentoring junior developers while working in an Agile team environment.

As a Staff Software Engineer, you’ll lead the design and reliability of Duetto's data lakehouse, evolving data systems using Python and AWS, ensuring data quality, and implementing AI-driven solutions.

The Senior Software Engineer will design, develop, and implement software solutions for law enforcement, leading projects and mentoring junior engineers in a collaborative Agile Scrum environment.

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

As a Senior Full Stack Engineer, you will lead the design and implementation of scalable serverless backend services using Python and AWS technologies, focusing on AI integration and event-driven architecture, while also mentoring team members and enhancing development practices.

Lead the design and implementation of scalable backend services using Python and AWS technologies. Collaborate with teams, implement best practices, and mentor junior engineers while integrating AI tools into the development process.

The Senior Full Stack Engineer will lead the development of scalable backend services using Python and AWS Serverless, mentor team members, and integrate AI tools into the software development lifecycle.

As a Senior Full Stack Engineer, you’ll lead software development, build scalable backend services using Python and AWS, and integrate AI in workflows while mentoring others.

As a Senior Full Stack Engineer, you will lead the development of scalable backend services, work with serverless architectures and AI tools, and mentor junior engineers. Responsibilities include architectural design, code implementation, and ensuring security and performance best practices are upheld.

As a Senior Full Stack Engineer, you will lead software development from design to deployment, focusing on scalable services using Python and AWS technologies, while integrating AI tools and mentoring younger engineers.

The role involves design and development of multi-tier applications using Java and C++, requiring knowledge of Python and derivatives domain.

The role requires a senior developer with expertise in Java and C++, and knowledge of Python. Responsibilities include designing and developing multi-tier applications and handling regulatory projects.

The role involves backend development using SQL, mentoring junior staff, participating in project delivery, and ensuring robust team processes.

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

Lead design and hands-on development of scalable, high-performance Python applications for market and regulatory risk. Architect distributed systems, enforce SDLC and secure coding, build CI/CD pipelines, integrate with cloud and DevOps, collaborate with Risk/Quants/FO, and deliver stress-testing and regulatory risk solutions under tight deadlines.

Lead design and hands-on delivery of scalable, high-performance Python applications for market and regulatory risk. Architect distributed systems, implement CI/CD, secure REST APIs, collaborate with quants and DevOps, and drive Stress Testing and Regulatory Risk projects under tight deadlines.

Design and build enterprise web applications using Python backends and React front ends. Develop and consume APIs and microservices, apply cloud and DevOps practices (CI/CD, containers), collaborate with customers and cross-functional teams, and continuously learn and improve using AI-assisted development tools.

Develop large-scale data analytic applications using Python or R. Familiarity with C#, .NET, and SQL is advantageous. Requires strong problem-solving skills.

Develop and maintain bioinformatics software systems, collaborate with scientists, and implement efficient algorithms for data processing.

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

The Senior Python Software Engineer at GliaCell is responsible for developing and supporting critical software solutions for U.S. Government clients, utilizing Python and various technologies in the cybersecurity domain.

Design, build, and maintain scalable, enterprise-grade data pipelines, microservices, and AI agents using Python, PySpark, Databricks, Kafka, and cloud-native infrastructure. Develop and deploy agentic GEN AI solutions (Google ADK, LLMs), integrate models via MCP, implement data federation and Data Mesh patterns (Starburst), automate CI/CD for containerized services (OpenShift/Kubernetes), ensure data quality/security, and support risk/compliance in retail and wealth risk engineering.

Design, build, and maintain scalable data pipelines and AI agent integrations using Python, PySpark, Databricks, Kafka, and microservices. Develop and deploy GenAI agents, data federation layers, and cloud-native CI/CD microservice integrations while ensuring data quality, security, and compliance.

Designs, implements, tests, delivers, and operates backend solutions across the SDLC. Advises management, mentors junior engineers, makes technical decisions, and applies best practices. Works with Python frameworks (Django/Flask), web services/SOA, version control, databases, messaging systems, cloud/IaC, CI/CD, automated testing, and observability to build scalable payment platform features.

Lead the design, development, and deployment of scalable applications for an AI platform, while mentoring junior developers and optimizing system performance.