Top Python Jobs

Lead full-stack workflow orchestration engineering using Camunda, Java or Python, and React. Design BPMN/DMN processes, enterprise integrations, IAM controls, resilient long-running workflows, and scalable backend services. Establish CI/CD, observability, security, testing, and operational practices while partnering with product, operations, and control teams. Drive responsible AI-assisted engineering adoption and mentor teams on secure, reliable development practices.

Develops and maintains secure, scalable software for a trading platform using Java, Python, React, and database technologies. Responsibilities include system design, coding, testing, troubleshooting, architecture documentation, data analysis, application resiliency, security, and SDLC automation. The role also requires responsible use and validation of enterprise-authorized AI coding tools, collaboration within an agile environment, and continuous improvement of software quality and architecture. AWS exposure is preferred.

Leads full-stack software engineering projects and developer teams building cloud-based, distributed microservices and full-stack systems. Responsibilities include designing service boundaries, developing APIs, establishing engineering standards, improving system performance, reducing technical debt, mentoring engineers, and shaping technology strategy. The role uses modern programming languages, AWS, databases, containers, CI/CD, infrastructure as code, automated testing, observability, and AI-based development tools.

Lead software engineering projects and developer teams building cloud-based full-stack and distributed microservice solutions. Design service boundaries, APIs, reusable frameworks, and scalable systems using AWS and modern programming languages. Establish engineering standards, improve performance, reduce technical debt, and support operational excellence across Agile teams. Mentor engineers, evaluate emerging technologies, contribute to long-term technology strategy, and deliver financial technology solutions supporting regulatory and enterprise needs.

Leads technology projects and developers building full-stack, distributed microservice systems for financial technology. Designs cloud-based solutions, partners with architects on service boundaries and integration patterns, establishes engineering standards, reduces technical debt, and improves system performance. Provides technical leadership across Agile teams, mentors engineers, evaluates emerging technologies, and delivers solutions using modern programming languages, databases, containers, and cloud services.

Leads software engineering projects and developer teams building cloud-based full-stack and microservices solutions for financial technology. Responsibilities include technical leadership, mentoring, architecture collaboration, API and database development, cloud engineering, performance optimization, technical debt reduction, Agile delivery, and establishing engineering standards. The role uses Python and AWS alongside multiple programming languages, container orchestration, CI/CD, infrastructure as code, automated testing, observability, and AI-assisted development tools.

Leads and develops cloud-based full-stack solutions within Capital One’s Cloud Operations Resilience Engineering division. Responsibilities include designing distributed microservices, APIs, and reusable frameworks; using Python, JavaScript, TypeScript, AWS, Docker, Kubernetes, and databases; leading Agile engineering teams; establishing technical standards; mentoring engineers; improving observability, resilience, availability, performance, and technical debt; and influencing long-term technology strategy.

Develops secure, scalable software solutions using Python, Databricks, and AWS. Designs applications, builds and maintains data pipelines, troubleshoots production issues, creates architecture artifacts, analyzes large datasets, and improves system reliability and coding practices. Uses enterprise-authorized AI-assisted development tools responsibly, validates generated outputs, and collaborates within an agile software development lifecycle.

Build and lead full-stack software engineering initiatives using distributed microservices, cloud platforms, APIs, databases, and modern front-end technologies. Provide technical leadership across Agile teams, establish engineering standards, mentor developers, partner with architects and product managers, improve system performance, reduce technical debt, and influence technology strategy. The role requires extensive experience with programming languages, cloud infrastructure, CI/CD, testing, version control, observability, and scalable systems.

Leads architecture and hands-on development of scalable Python and Java distributed systems, ML platforms, and agentic AI services. Productionizes machine-learning models, builds resilient microservices and reusable platform components, establishes monitoring and governance, and guides responsible AI-assisted engineering adoption. Partners with technical and business stakeholders while mentoring developers and managing delivery across teams.

Develop and maintain scalable backend advertising software using Python and Django. Responsibilities include designing RESTful APIs, analyzing requirements, integrating and releasing applications, supporting production deployments, troubleshooting complex issues, collaborating with QA and cross-functional teams, participating in code reviews, mentoring engineers, and promoting reliability and engineering best practices. The role is hybrid in Chicago and may require variable schedules, including nights and weekends.

Leads full-stack engineering projects and developer teams building distributed microservices and cloud-based systems. Develops with multiple programming languages, AWS, databases, APIs, containers, CI/CD, and automated testing. Provides technical leadership, mentors engineers, establishes coding standards, partners with architects and product managers, improves system performance, reduces technical debt, and influences long-term technology strategy.

Lead diverse software engineering projects and developers building distributed microservices, full-stack systems, and cloud-based solutions. Provide technical leadership across Agile teams, define service architectures and integration patterns, reduce technical debt, improve performance, mentor engineers, and influence long-term technology strategy. The role uses multiple programming languages, AWS, databases, containers, APIs, CI/CD, infrastructure as code, automated testing, and observability technologies.

Leads software engineering projects and developers building distributed microservices and full-stack cloud solutions. Designs service boundaries, integration patterns, reusable frameworks, APIs, and scalable systems using Java, Python, AWS, and related technologies. Provides technical leadership across Agile teams, establishes engineering standards, mentors engineers, evaluates emerging tools, improves system performance, reduces technical debt, and contributes to long-term technology strategy.

Leads software engineering initiatives within an agile team, providing technical direction and delivering secure, scalable production code. Establishes governance for AI-assisted development, code review, testing, troubleshooting, and SDLC automation. Shapes product design, technical operations, engineering standards, and reusable frameworks while serving as a subject-matter expert and coaching senior engineers on responsible AI usage, security, resiliency, and validation practices.

Leads development of full-stack, cloud-native software using Java, Python, AWS, microservices, APIs, and PostgreSQL. Designs scalable and secure systems, builds LLM and generative AI capabilities, and integrates AI agents into engineering workflows. Improves operational stability through automation and observability while contributing to Agile delivery, system architecture, and technical standards. Collaborates across initiatives and promotes responsible, secure validation of AI-assisted development outputs.

Build and lead full-stack software engineering initiatives using cloud-based, distributed microservices and full-stack systems. Lead developers, define service boundaries and integration patterns, establish engineering standards, mentor engineers, and deliver solutions supporting regulatory and customer needs. Develop with modern programming languages, AWS, databases, containers, APIs, CI/CD, infrastructure as code, automated testing, and observability. Drive technical strategy, refactoring, performance optimization, and reduction of technical debt across Agile teams.

Leads the design, development, testing, and operation of secure, scalable cloud-native software services. Provides technical direction, writes and reviews production code, develops AWS APIs and event-driven microservices, manages Terraform infrastructure, and improves CI/CD, testing, observability, and reliability. Establishes governance for responsible AI-assisted engineering, validates AI outputs for security and quality, promotes engineering standards, and coaches teams on compliant development practices.

Develops secure, scalable software solutions in Python, Java, and React within an agile corporate technology team. Responsibilities include designing and troubleshooting applications, producing architecture artifacts, analyzing data, maintaining production code, deploying containerized applications with Docker, Kubernetes, and AWS EKS, and applying CI/CD, resiliency, security, and responsible AI-assisted development practices.

Leads software engineering within an agile Corporate Technology team, providing technical direction and developing secure, scalable production code in Python. Designs, tests, troubleshoots, and supports applications using APIs, microservices, cloud-native technologies, containers, CI/CD, and infrastructure as code. Drives responsible adoption and governance of AI-assisted engineering tools, establishes validation standards, influences technical and product decisions, and serves as a subject matter expert across engineering teams.

Build and lead development of cloud-based full-stack and distributed microservices solutions. Provide technical leadership across Agile teams, define service boundaries and integration patterns, improve system performance, reduce technical debt, and establish engineering standards. Mentor engineers, evaluate emerging technologies, and develop scalable solutions using modern programming languages, databases, containers, cloud platforms, APIs, CI/CD, and automated testing.

Lead software engineering projects and developer teams building cloud-based full-stack and distributed microservice solutions. Develop with multiple programming languages, AWS, databases, containers, APIs, and modern engineering tools. Provide technical leadership across Agile teams, establish coding and design standards, mentor engineers, improve system performance, reduce technical debt, and influence long-term technology strategy.

Leads software engineering projects and developers building cloud-based full-stack and distributed microservices solutions. Provides technical leadership across Agile teams, defines service boundaries and integration patterns, improves system performance, reduces technical debt, mentors engineers, and establishes development standards. The role uses multiple programming languages, databases, container orchestration, cloud platforms, APIs, CI/CD, infrastructure as code, automated testing, observability, and AI-based development tools.

Develop secure, scalable software using React and Python within an agile banking technology team. Responsibilities include system design, application development, testing, troubleshooting, data analysis, architecture documentation, operational stability, and CI/CD practices. The role also requires responsible use and validation of enterprise AI-assisted coding tools, participation in engineering communities, and mentoring peers on secure AI-enabled development workflows.

Leads software engineering for secure, scalable technology products within data technology. Responsibilities include designing and developing Java, Python, or Go applications; building AWS-hosted APIs, microservices, event-driven services, and data models; developing Terraform infrastructure; reviewing code; improving testing and operational stability; and guiding responsible AI-assisted engineering practices, secure coding, architecture, and SDLC adoption.