Top Python Jobs

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

Lead a team building cloud-native, distributed microservices and full-stack systems to support credit line calculations for regulatory compliance. Collaborate with product managers, mentor engineers, experiment with emerging tech, and occasionally code and review code using Java, Python, container orchestration, Databricks, and AWS services.

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.

The Quantitative Developer will develop systems from research to production, build simulation infrastructure, manage feature pipelines, and troubleshoot issues in quantitative trading environments.

The role involves building and supporting data-centric applications, ensuring quality data delivery, and troubleshooting issues in a fast-paced environment.

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

Lead and mentor a team building cloud-native, full-stack decisioning platform components. Drive architectural excellence in distributed microservices, scalability, observability, testing, multi-tenancy, and self-service UI using Go, Python, Java, JS/TypeScript, containerization, and AWS services.

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.

Lead technical design and development of software solutions, mentor engineers, review code, design and support APIs, develop front-end with Angular, work with Java/Spring and Oracle, apply containerization (OpenShift/Kubernetes), and operate within Agile/Scrum practices.

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.

Design, develop, test, and maintain Python and related applications integrating with existing infrastructure. Collaborate cross-functionally to implement modular, repeatable, and automated solutions, apply Model Based Engineering, participate in code reviews, implement automated testing, and support cloud-native microservices and observability practices.

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.

Design, develop, and maintain secure, production-grade Python/Django applications and REST APIs; implement AuthE authentication patterns (OAuth/OIDC/SAML) for external users; build analytics and visualizations from large datasets; use AI-assisted development tools to accelerate delivery; ensure operational stability, CI/CD, and secure coding practices.

Lead and deliver secure, scalable data and AI/ML systems (including LLM-based and agentic architectures) for enterprise KYC and risk platforms. Define architecture and engineering standards, mentor engineers, drive AI-assisted development adoption, ensure observability, governance, and operational stability across cloud-native data platforms.

Lead a team building cloud-based, full-stack microservices solutions using Go, Python, JS/TypeScript, containers, and AWS. Mentor engineers, collaborate with product managers, drive technical direction, and deliver compliant solutions to meet regulatory and customer needs.

Lead design, development, and delivery of secure, scalable AI-enabled applications. Produce production-quality Python code, drive AI-assisted engineering practices, automate reliability fixes, evaluate models and vendors, and coach teams on responsible AI, secure coding, CI/CD, and cloud-native operations.

Lead and mentor data engineering teams to design, build, and operate a secure, scalable KYC and risk-assessment data platform. Develop production code for data-intensive systems, set architecture and engineering standards, govern LLM-based applications and agentic AI, drive adoption of AI-assisted development practices, ensure observability, security, and cloud-native operations, and advise cross-functional stakeholders.

Lead design and develop scalable microservices-based applications using Java and Python. Build event-driven systems with Kafka, implement RESTful APIs, CI/CD pipelines, and integrate Azure AI/Generative AI capabilities. Provide technical leadership, code reviews, documentation, and mentor team members while applying DDD and security best practices.

Lead a team and portfolio building scalable, cloud-based back-end microservices for omnichannel marketing. Mentor engineers, collaborate with product managers, design solutions using Java/Python/Go/Node/Scala, containers, Kafka, and AWS, and drive regulatory-compliant, high-impact consumer experiences.

Lead backend engineering efforts to design, build, test, and deploy cloud-native, AI-enhanced microservices. Mentor engineers, drive architecture and technical direction, integrate LLMs and advanced AI tooling, and ensure scalable, performant omnichannel messaging platforms.

Lead an agile team to design, build, and deliver cloud-native, microservices-based applications. Drive adoption of AI-assisted engineering, ensure scalable, resilient, secure solutions, mentor engineers, and resolve production issues.