Top Python Jobs

Leads technology projects and engineering teams developing distributed microservices and full-stack cloud solutions. Provides technical direction, mentors engineers, establishes development standards, partners with architects, improves system performance, reduces technical debt, and influences technology strategy. The role uses multiple programming languages, AWS and other cloud platforms, databases, containers, APIs, CI/CD, infrastructure as code, automated testing, and observability.

Lead multiple technology projects and engineering teams while designing and implementing reliable, high-performance, cloud-native and distributed systems. Provide technical leadership across teams, shape architecture and technology roadmaps, mentor engineers, establish engineering standards, and deliver full-stack solutions using modern programming languages, cloud services, microservices, databases, containers, APIs, observability, and automation.

Leads and delivers large-scale, cloud-native full-stack systems using distributed microservices, modern programming languages, databases, containers, and AWS technologies. Provides technical leadership across teams, shapes architecture and platform roadmaps, mentors engineers, drives reliability and performance, and partners with product and architecture leaders to deliver secure solutions supporting regulatory and customer needs.

Lead technology projects and engineering teams building cloud-based, full-stack solutions with distributed microservices. Develop and maintain systems using multiple programming languages, databases, APIs, containers, cloud services, CI/CD, and automated testing. Provide technical leadership, establish engineering standards, mentor developers, partner with architects and product managers, improve system performance, reduce technical debt, and influence long-term technology strategy.

Leads software engineering projects and development teams building cloud-based, full-stack solutions with distributed microservices. Provides technical leadership across Agile teams, defines service architectures and integration patterns, mentors engineers, establishes development standards, and improves system performance. The role uses Java, Python, AWS, databases, containers, APIs, CI/CD, infrastructure as code, automated testing, and modern AI coding tools.

Lead software engineering projects and developer teams building cloud-based full-stack solutions and distributed microservices. Provide technical leadership across Agile teams, establish design and coding standards, partner with architects, improve system performance, reduce technical debt, and evaluate emerging technologies. The role involves AWS, Java, Python, front-end frameworks, APIs, databases, CI/CD, infrastructure as code, automated testing, observability, and mentoring engineers.

Leads end-to-end architecture and delivery of enterprise software using Java, Spring Boot, and Python. Defines APIs, integrations, distributed systems, data architectures, and nonfunctional requirements. Provides technical leadership, resolves production issues, establishes engineering standards, and productionizes AI/ML capabilities with monitoring and responsible AI controls. Partners with data science teams and drives secure, resilient, observable solutions through the full software development lifecycle.

Build and lead full-stack software engineering projects using cloud technologies, distributed microservices, and front-end and back-end frameworks. Provide technical leadership across Agile teams, mentor engineers, define architecture and integration patterns, improve system performance, reduce technical debt, and establish engineering standards. Develop solutions using languages such as Java, Python, and JavaScript/TypeScript, along with AWS, containers, databases, APIs, CI/CD, and infrastructure-as-code tools.

Leads engineering projects and developers building distributed microservices, full-stack systems, and cloud-based solutions. Provides technical direction across Agile teams, establishes design and coding standards, mentors engineers, partners with architects and product managers, and improves system performance through refactoring and observability. The role uses multiple programming languages, AWS and other cloud technologies, databases, containers, automated testing, APIs, CI/CD, and infrastructure as code.

Leads software engineering teams and technology projects, designing and implementing large-scale, cloud-native, distributed systems. Responsibilities include full-stack development, microservices, AWS solutions, architecture, platform roadmaps, reliability and observability, technical standards, mentoring, and cross-functional leadership. The role uses Java, Python, and other modern programming languages, databases, containers, CI/CD, infrastructure as code, and AI-based development tools.

Lead backend and full-stack engineering initiatives for customer rewards redemption platforms. Design and implement scalable, cloud-native microservices; guide architectural modernization; mentor engineers; establish technical standards; and partner with product, architecture, fraud, and customer experience teams. The role requires expertise in distributed systems, multiple programming languages, cloud platforms, databases, APIs, CI/CD, observability, and modern software development practices.

Lead full-stack engineering initiatives and development teams building large-scale, distributed, cloud-native systems. Design and implement reliable, high-performance solutions using Python, Angular, microservices, databases, containers, and public cloud platforms. Provide technical leadership, mentor engineers, shape architecture and technology roadmaps, establish engineering standards, and partner with product and architecture leaders on platform strategy and enterprise-wide initiatives.

Develops secure, scalable software solutions using Java, Python, AWS, Terraform, and Kafka. Designs complex applications, creates architecture artifacts, delivers end-to-end systems, and ensures testing and operational stability. Leads responsible adoption of AI-assisted development tools, validates AI outputs, improves automation and CI/CD practices, and analyzes data to enhance code quality and system architecture. Collaborates within agile teams supporting corporate technology functions.

Leads development of secure, scalable software solutions within an agile financial-services environment. Responsibilities include designing, coding, testing, debugging, reviewing production code, improving application stability through automation, applying AI-assisted engineering practices responsibly, and evaluating vendor and architectural solutions. The role requires advanced Python expertise, cloud-native experience, SDLC proficiency, software security knowledge, and familiarity with banking technology systems.

Leads software engineering efforts within Credit Risk Technology, including system design, application development, testing, troubleshooting, code review, and production stability. Modernizes the technology stack, develops secure and scalable code, automates recurring remediation, evaluates vendor and architectural solutions, and promotes engineering best practices. Requires advanced Java or Python skills, strong relational database and Databricks expertise, and experience working in large corporate environments.

Designs, develops, tests, and maintains scalable, secure systems using Java or Python; applies enterprise AI-assisted coding tools; contributes to architecture, data-driven improvements, CI/CD, and resilient production delivery within agile teams.

Develops and maintains secure, scalable Python and AWS applications within an Applied AI/ML engineering team. Responsibilities include system design, architecture, testing, troubleshooting, code reviews, agile planning, MLOps integration, reliability collaboration with SRE teams, and analyzing data to improve application quality and system architecture. The role also requires responsible use of AI-assisted development tools and collaboration with data scientists.

Design, develop, test, and maintain scalable, secure systems using Java or Python. Contribute to architecture, SDLC practices, CI/CD, automated testing, and data-driven improvements. Use enterprise-authorized AI-assisted development tools responsibly, validate outputs, and support cross-team collaboration and inclusion.

Designs, develops, and troubleshoots secure, high-quality payment software; creates and executes automated tests and BDD Gherkin scripts; leverages enterprise AI-assisted development tools; produces architecture artifacts; partners with Operations, Product, and Technology; monitors and reports defects, validates test results, and steps in for Test Manager when needed.

Hands-on lead developer responsible for designing, building, and operating cloud-native, secure, high-quality software. Drives engineering standards, mentors peers, adopts approved AI-assisted tools responsibly, automates remediation, and leads vendor/architecture evaluations.

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.

Build and lead production Python software for technology-risk oversight, including data pipelines, PostgreSQL systems, authenticated APIs, and LLM agent workflows. Develop RAG, tool orchestration, evaluation, and guardrails; ensure security, auditability, observability, testing, reliability, and responsible AI use. Collaborate with Product, Risk, Controls, Compliance, and data teams while delivering dashboards and evidence packages.

Leads full-stack software engineering across design, development, testing, troubleshooting, and operational stability. Builds secure production code using Java or Python and React, reviews peer code, and promotes AI-assisted engineering practices with secure validation standards. Drives automation, continuous delivery, application resiliency, cloud-native development, vendor evaluations, architectural improvements, and technical communities of practice within financial technology.

Lead design, develop, and deploy secure, scalable full-stack applications (Java or Python) for finance planning and analysis. Drive architecture reviews, operational stability, CI/CD automation, cloud-native AWS deployments, and integration of AI/ML/LLM capabilities. Mentor teams and lead engineering communities of practice.

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.