Top Senior Python Jobs

Build and maintain scalable real-time and batch data pipelines, backend systems, and APIs for ad serving. Create automation and monitoring solutions, ensure data quality and system performance, and participate in the full software development lifecycle. Collaborate with cross-functional teams, optimize code and workflows, and support operations including variable schedules and occasional nights/weekends.

The Staff Software Development Engineer will design software, write code, refactor existing code, and collaborate with teams to drive product requirements and resolve customer issues.

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

Develop and maintain Python/Django applications, integrate front-end code and 3rd-party RESTful APIs, work with PostgreSQL, MongoDB, and HBase, deploy and support production systems, follow TDD and CI/CD practices. PySpark/Hadoop experience is a plus.

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

Design, develop, and maintain scalable backend web applications and RESTful APIs using Python/Django. Collaborate with cross-functional teams, ensure code quality and security, manage source control, implement database schemas and optimizations, support deployments and automation with Ansible, troubleshoot production issues, mentor junior engineers, and contribute to documentation and process improvements.

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.

Lead and mentor engineering teams to build full-stack, cloud-native microservices and products. Collaborate with product managers, design scalable solutions using TypeScript/Node.js/Python and cloud/container technologies, and drive architectural consistency while occasionally coding and evaluating implementations.

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

Lead the development and maintenance of software solutions, focusing on a data ingestion platform. Mentor an engineering team and drive best practices in engineering and CI/CD strategy. Troubleshoot applications in UNIX/Linux environments while ensuring high performance and reliability.

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.

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

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

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.

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.

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 role involves developing applications using Python on the Azure platform, requiring senior level expertise and PowerShell scripting experience.

The role requires development on the Azure platform using Python, along with PowerShell scripting experience, for a senior developer position.

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.