Top Senior Python Jobs

Lead an agile engineering team to design, develop, test, and operate secure, scalable production software. Provide technical guidance, review code, drive architectural and product decisions, advocate firmwide tools and best practices, and apply cloud-native and machine-learning expertise to deliver resilient applications.

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.

Lead technical design and deliver Databricks Lakehouse solutions on AWS: build and optimize Python/PySpark batch and streaming pipelines, implement Delta Lake patterns, ensure governance/security (Unity Catalog, IAM, KMS), drive CI/CD and IaC, mentor engineers, adopt AI-assisted development practices, and own operational stability, monitoring, and incident response.

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 design, develop, test, and support enterprise backend services using Java/Spring Boot and Python. Build RESTful APIs, integrate data services, and deliver AI/ML-enabled features (LLMs, RAG, vector search) through the full SDLC. Produce architecture artifacts, ensure code quality, observability, security, and collaborate in Agile teams.

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.

Lead backend engineer responsible for designing, building, and operating secure, scalable microservices using Java and Python, driving adoption of AI-assisted engineering, evaluating architectures, mentoring teams, and improving SDLC automation, resiliency, and security.

Lead Software Engineer who designs, builds, and maintains Python services and data/AI pipelines; writes and optimizes SQL; triages and debugs production incidents; develops LLM-powered workflows and agentic systems; implements observability (logging, metrics, traces, alerts); drives adoption of enterprise AI-assisted engineering practices and SDLC automation; and documents system behavior and support procedures.

Lead an agile software engineering team to design, develop, and operate secure, scalable AWS cloud-native applications. Drive adoption of AI-assisted development practices, ensure code quality, automate remediation, and promote reuse. Provide hands-on development, system design, CI/CD, streaming solutions (Kafka), and mentor engineers while managing team performance and operational stability.

Lead and deliver secure, scalable cloud-native software solutions; write and review code; drive AI-assisted engineering adoption; evaluate vendors; promote operational stability and engineering best practices.

Design, develop, test, and maintain backend services using Java and Python within a microservices architecture. Collaborate with architects, product owners, and infrastructure to deploy containerized applications, tune performance, implement CI/CD, and support production systems. Participate in code reviews, agile ceremonies, and technical design to deliver scalable, high-quality solutions.

Lead development of Python-based quant research and portfolio construction platforms: design, build, test, and operate production-quality code; partner with Quant Research on models, validation, reusable libraries, and AI-assisted engineering practices to improve delivery, security, and resiliency.

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, 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.

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.

Develop, test, deploy, and support full-stack Python applications on AWS. Participate in design, estimation, code reviews, unit testing, sprint planning, and mentor junior engineers. Collaborate with architects, clients, and distributed teams to modernize applications, follow best practices, and document solutions.

Lead design, build, and operate enterprise-grade Python systems and data-intensive services. Drive architecture, reliability, debugging, SDLC practices, CI/CD, and cross-team collaboration to deliver scalable, secure production applications.

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

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, develop, and deliver secure, scalable production software. Drive architecture evaluations, improve operational stability via automation, and champion AI-assisted engineering practices. Mentor teams, enforce secure SDLC/CI/CD standards, and integrate cloud-native solutions using Python, Java, React, and AWS.

Lead design, development, and production support of secure, cloud-native data and analytics systems. Drive adoption of AI-assisted engineering practices, improve automation and resiliency, evaluate vendor solutions, and mentor teams on secure, scalable software delivery.

Lead design and implementation of a large-scale Marketing and Events data platform. Build and transform ETL on cloud/Databricks, ensure data quality, automate pipelines, enforce data standards, and deliver solutions using agile practices while mentoring and hiring team members and partnering with stakeholders.

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 development of cloud-native, microservices-based applications using Python backends and modern front-end frameworks. Design scalable, resilient systems on AWS/Azure/GCP, apply SDLC best practices, CI/CD automation, and enterprise AI-assisted engineering to improve code quality and delivery while mentoring teams and ensuring security and operational stability.

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.