Top Senior Python Jobs

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, 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 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 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 development of API-driven network automation and frameworks using Python and AI-assisted tools. Translate manual network operations into secure, maintainable automation, collaborate with network and platform teams, and drive deployment automation across cloud and legacy infrastructure.

Lead software engineer responsible for designing, building, and operating secure, high-quality Python-based production systems. Drive distributed systems design, automation, AI-assisted engineering adoption, troubleshooting, mentoring, and cross-functional collaboration to improve reliability and delivery.

Lead development of agentic-AI capabilities and an evaluation/provenance harness to safely automate bulk code changes. Design CI/CD integrations, PR-provenance controls, observability, test/eval tooling, rollout of standards, and operational support to scale machine-authored changes while ensuring auditability, security, and reliability.

Lead engineering and deliver secure, scalable data and LLM-based systems for a Global KYC and Risk Assessment Data Platform. Define architecture, engineering standards, AI/LLM governance, and drive adoption of AI-assisted development practices while mentoring teams and ensuring operational stability and observability.

Lead and deliver secure, high-quality software solutions for financial planning and analysis. Design, develop, review, and troubleshoot production code; drive adoption of enterprise AI-assisted engineering practices; leverage AWS and big-data technologies like Spark; evaluate vendors; automate remediation to improve operational stability.

Lead development of a distributed, multi-asset Order Management System (OMS): design and implement core OMS infrastructure (workflow engine, pipeline, caching, event distribution), build automated deployment, improve legacy systems, ensure low-latency, high-availability, and support production stability while mentoring teams and evaluating vendor/architectural solutions.

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

Lead design, develop, and deliver secure, high-quality software for wholesale credit risk. Author and review production code, drive AI-assisted engineering practices, automate remediation, improve resiliency, and evaluate vendor/architecture suitability.

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.

The Software Engineer Principal will modernize technology through Ansible and Python, focusing on reliability. Responsibilities include designing backend systems for high availability and disaster recovery, and leading technical guidance.

Lead a team to develop distributed systems using Golang and Python on Kubernetes, collaborate on AI/ML solutions, and drive technological innovation.

Lead full‑stack teams building cloud-native microservices and distributed systems. Design and deliver robust AWS/GCP/Azure solutions, mentor engineers, collaborate with product managers, and apply emerging AI tooling to solve complex card decisioning problems.

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.

Design, develop, and maintain secure, production-grade data-intensive applications and platforms. Build reusable frameworks, leverage enterprise AI-assisted development tools responsibly, collaborate across teams, and ensure scalability, observability, and operational stability for a global KYC and risk data platform.

Lead a team of developers to build technology projects using microservices and full stack systems, focusing on cloud-based solutions and mentoring team members.

Design, build, and maintain high-availability backend services and RESTful APIs using Python/Django and PHP. Own production deployments on Kubernetes/EKS and AWS, mentor junior engineers, produce technical documentation, define architecture, track performance metrics, and collaborate with stakeholders to deliver scalable ad-tech platform features.

Senior Python quantitative developer responsible for implementing ALM models, integrating pricing and risk analytics, optimizing performance, and delivering high-quality software for the Juniper Vasara risk platform. Collaborates with quant, business, and technology stakeholders in an Agile SDLC to support portfolio management, balance sheet strategy, and capital/risk calculations.

The Senior Python Engineer will develop and support MongoDB Python drivers, enhance library quality, and collaborate on product features.

Lead software engineering initiatives in Cloud Operations Resilience Engineering, focusing on AI-driven systems, compliance, and architectural standards.

Lead full‑stack teams to design and deliver cloud-based, microservices solutions. Mentor engineers, collaborate with product managers, and build scalable systems using Python, ReactJS, AWS, containers, and modern data tools to meet regulatory and customer needs.