Top Python Jobs

Lead an agile engineering team to design, build, test, and operate secure, scalable production systems. Drive adoption and governance of AI-assisted development (prompting, agentic engineering) within the SDLC, provide technical guidance, review code, and ensure responsible AI practices and operational stability in trading and risk engineering contexts.

Design, develop, and maintain secure, production-grade full‑stack applications and microservices using React, Java/Node.js/Python and AWS. Integrate SaaS platforms (e.g., Monday.com), implement CI/CD, observability and AI‑assisted workflows, troubleshoot production issues, and ensure alignment with enterprise standards for security, resiliency, and scalability.

Lead design, development, testing, and operation of scalable data pipelines and analytics solutions. Build and deploy production data processing applications, troubleshoot and improve operational stability, lead vendor/architecture evaluations, and champion responsible AI-assisted engineering practices. Coach teams on secure AI adoption and validate model outputs while promoting automation and reuse across the team.

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

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

Provide Tier-2 support for the Streaming Hub: troubleshoot customer-facing issues, maintain UI components, debug distributed systems, build automation, assist in incident response, release validation, and contribute to operational documentation and reliability improvements.

Design, develop, and deploy high-performance distributed optimization, data, and simulation systems. Collaborate with cross-functional teams, resolve data quality and production issues, write maintainable code with TDD, unit tests, and CI/CD, and advocate engineering best practices.

Lead and mentor a software engineering team to design, build, and operate secure, scalable cloud-native applications using Java and Python. Drive architecture reviews, CI/CD automation, observability, AI-assisted engineering practices, and data governance while ensuring operational stability and compliance.

Designs, develops, debugs, and delivers secure, scalable software solutions using Python and PySpark. Produces architecture artifacts, analyzes large datasets for insights, ensures application resiliency and CI/CD practices, and contributes to engineering communities and system improvements.

Lead design, develop, and deliver secure, scalable production software using Java/Python and cloud (AWS). Drive AI-assisted development adoption, evaluate vendors, automate remediation, mentor teams, and ensure CI/CD, resiliency, and security best practices.

Lead development of distributed, cloud-native trading and portfolio systems using Java, Python, Spring Boot, Microservices and React. Drive secure, resilient CI/CD automation, AI-assisted engineering governance, code quality, and operational stability while mentoring and managing developers and evaluating vendor/architecture fit.

Lead and contribute to an agile engineering team building scalable, secure big-data applications. Provide technical guidance, design and produce production-quality code, drive architecture and tooling decisions, champion AI-assisted engineering practices, and collaborate across global teams to ensure operational stability and delivery.

Lead back-end engineer delivering cloud-native microservices, building scalable, secure, high-volume data processing systems. Design domain models, implement tests, optimize performance, operate production services, and support incident management across distributed systems.

Lead technical delivery for analytics-focused software: design, develop, test, and operate secure, high-quality production code. Drive automation and CI/CD, evaluate vendor/architecture choices, mentor junior engineers, and promote resilient cloud-native solutions within financial services technology teams.

Lead an agile team to design, develop, and maintain low-latency front-office systems for loan trading, risk and P&L. Produce secure, high-quality production code, troubleshoot end-to-end dependencies, automate remedial work, evaluate vendor architectures, and translate business needs into technical solutions.

Lead development of secure, high-quality production software for analytics and credit risk; design, code (Python/Java), review, troubleshoot, automate remediation, drive CI/CD and cloud-native solutions, mentor junior engineers, evaluate vendors, and promote new technologies.

Design, develop, and troubleshoot React/Python applications; produce secure, high-quality production code; use AI-assisted development tools responsibly; create architecture artifacts; build tests and visualizations; improve system resiliency and coding hygiene; contribute to engineering communities.

Lead technical design and development of secure, scalable production software. Write and review code, drive automation and CI/CD, ensure operational resilience, promote enterprise AI-assisted engineering practices, evaluate vendor/architecture choices, lead communities of practice, and coach teams on secure, compliant cloud-native solutions in a financial services environment.

Lead hands-on development and mentor engineers to build secure, reliable data pipelines, APIs, and reporting for asset management. Own end-to-end delivery, participate in Agile ceremonies, drive automation, AI-assisted engineering practices, and improve operational stability.

Design, develop, and troubleshoot secure, scalable React and Python applications. Use enterprise-authorized AI-assisted development tools responsibly to improve code quality. Produce architecture artifacts, build automation tests, analyze data for improvements, contribute to engineering communities, and support CI/CD, resiliency, and security practices.

Lead an agile engineering team to design, develop, and operate secure, scalable production software. Drive adoption of enterprise AI-assisted development, CI/CD, automation, and resiliency best practices. Evaluate vendors, coach engineers on responsible AI use, improve operational stability, and contribute technical leadership across software engineering communities.

Lead architecture, design, and delivery of scalable Markets Data Lake and data/AI platform components. Build Python-based microservices and real-time Kafka services, integrate with JPMC Athena and data platforms, mentor teams, set engineering standards, and drive cloud big-data solutions on AWS.

Lead and architect production-grade trading systems for Credit Pre-Trade Technology, build AI-native platforms, develop and maintain secure scalable code, partner with trading and product teams, drive AI-assisted engineering practices, support production stability and automation, and lead technical evaluations and communities of practice.

Lead Software Engineer designs, develops, and delivers secure, scalable cloud-native applications (Python/Java/React/AWS). Leads architecture reviews, promotes AI-assisted engineering practices, drives CI/CD and automation, mentors teams, evaluates vendors, and improves operational stability and resiliency.

Lead design and deliver production-grade trading systems using Python and Java, build AI-native platforms, champion AI-assisted engineering practices, partner with Credit Sales & Trading, support production stability, and drive adoption of secure, automated SDLC and cloud-native solutions.