Top Senior Python Jobs

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.

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

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

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

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 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.

Senior technology leader responsible for strategy, architecture, and delivery of enterprise-scale Python data ecosystems and GenAI agent platforms. Lead ~15+ engineer agile teams, build PySpark/Databricks pipelines, Kafka streaming, microservices (FastAPI/Spring Boot) on Kubernetes/OpenShift, ensure AI PDLC, compliance, data governance, and stakeholder alignment for retail and wealth risk programs.

Develop and scale cloud-native full stack Python applications and REST APIs that power LLM/RAG and semantic search features. Integrate with Databricks/Spark, Elasticsearch, and Neo4j, support CI/CD and containerized deployments, and collaborate with ML/data teams to productionize AI capabilities for DoD systems with security and compliance.

The Senior Full-Stack Python Engineer develops and scales OCR and computer vision systems, creates backend services in Python, and maintains frontend React applications, ensuring integration and system performance.

Lead the technical direction of AI initiatives by building scalable backend systems, mentoring junior engineers, and ensuring operational excellence.

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.

As a Software Engineer Principal, you will lead technical design and development for scalable applications, mentor engineers, and optimize software performance.

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.

Join the Fixed Income Investment Tools Development Team as a full stack developer, working closely with investment teams to create tools that enhance the investment process and handle risk.

Looking for a Hive+Python Engineer with 8-10 years of IT experience, including 2-3 years in Python and Hive within a Big Data environment.

The Python Developer will create backend systems, develop ETL scripts, document code, adhere to web best practices, and support existing tools while troubleshooting connectivity issues.

We are seeking a Java/Python Developer with extensive experience in build processes, coding, problem resolution, and client interaction to enhance applications in a dynamic environment.