Top Python Jobs

The Python Developer will manage stakeholder relationships, develop projects using Python and web frameworks, and collaborate on cloud technologies while ensuring standards are met and improved.

The role involves software development lifecycle participation, application development in Java and Python, and production support, with a focus on large-scale distributed systems.

Design, build, and maintain enterprise-grade Python applications and data pipelines. Develop production-ready, secure, high-performance code, optimize large-scale data processing, produce architecture artifacts, support CI/CD and incident response, and collaborate with cross-functional teams to improve reliability and scalability.

Design, build, and maintain enterprise-grade Python applications and data processing pipelines. Deliver secure, high-performance code for distributed systems, optimize large-scale data workflows, support production incidents, contribute to architecture and CI/CD, mentor engineers, and collaborate with product, data, and infrastructure teams to translate ambiguous requirements into robust technical solutions.

Design, develop, and maintain enterprise-grade Python applications and data-processing systems. Deliver production-ready, secure, and high-performance code, troubleshoot complex issues, optimize data workflows, support CI/CD and incident response, and collaborate with product, data, and infrastructure teams to translate business needs into scalable technical solutions.

Design, build, and maintain enterprise-grade Python applications and data-processing services. Optimize performance, ensure fault-tolerance and observability, produce architecture artifacts, support production incidents, implement CI/CD, collaborate with product/data/infrastructure teams, and mentor engineers while improving reliability and maintainability.

Design, build, and maintain enterprise-grade Python applications and data-processing pipelines. Deliver production-ready, secure, high-performance code, perform architecture and troubleshooting, optimize large-scale data workflows, support CI/CD and incident response, collaborate with cross-functional teams, and mentor engineers.

As a Senior Lead Data Engineer, you will lead a team in designing and implementing data solutions and pipelines using various technologies, ensuring data quality and governance, while collaborating with Agile teams.

Lead full-stack engineering portfolio and team building cloud-based, microservices solutions. Collaborate with product managers, mentor engineers, adopt emerging technologies, and deliver robust AWS-hosted experiences using modern front-end and back-end stacks, container orchestration, and open-source databases to meet regulatory and customer needs.

Lead a team building distributed microservices and full-stack cloud solutions using JavaScript, Java, Python, Go, React, containers, and AWS. Mentor engineers, collaborate with product managers, drive regulatory-focused technology projects, and experiment with new technologies and AI tooling to improve developer productivity and customer experiences.

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.

Lead the design and implementation of Kafka initiatives, develop microservices in Python, manage the Kafka ecosystem, optimize workflows, and mentor teams.

The Python Developer will build a genetic testing platform, utilizing strong Python and Django skills, with a focus on agile development and database management.

Seeking a Python Developer with 7+ years of experience, strong skills in Python, and familiarity with Big Data technologies for a CCAR project.

Concept Plus seeks a Junior Python Developer to enhance enterprise-scale applications, focusing on backend development, DevSecOps practices, and secure coding under senior guidance.

The role requires a Python Developer with 6-7 years of experience and sound coding skills in Python for a long-term project.

The Lead Software Engineer will oversee technology projects, mentor developers, collaborate on cloud solutions, and utilize various programming languages and AWS tools to drive innovation and meet business needs.

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

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

Lead a team delivering full‑stack, cloud‑based microservices and enterprise platforms. Drive technical direction, mentor engineers, collaborate with product managers, implement containerized solutions (Docker/Kubernetes) on AWS, leverage modern languages and GenAI tooling, and ensure regulatory/compliance requirements are met.

Develop full-stack applications using Python and modern JavaScript frameworks, implement REST APIs, manage CI/CD pipelines, deploy microservices, and support ML workloads.

Lead a team to integrate data engineering with actuarial practices, developing data-driven pricing strategies and ensuring data accuracy and compliance while fostering innovation within the actuarial team.

Design, develop, and maintain Python-based backend services and automation systems. Modernize scripts into modular components, build REST APIs and data processing pipelines (PySpark/Databricks/Delta Lake), orchestrate workflows with Airflow, integrate enterprise systems, optimize performance, and support deployment, monitoring, and operational stability.

Design and develop software solutions, analyze complex problems, and provide support for trading activities in a dynamic environment.