Top Python Jobs

Build and lead full-stack software engineering projects using cloud-based, distributed microservices and full-stack systems. Provide technical leadership across Agile teams, mentor engineers, establish coding standards, and partner with product managers and architects. Develop APIs, reusable frameworks, and scalable solutions using multiple programming languages, databases, container orchestration, and AWS services. Improve system performance, reduce technical debt, evaluate emerging technologies, and support regulatory business needs.

Design, deliver, and re-architect enterprise CI/CD platform capabilities used by thousands of software pipelines. Lead technical initiatives, establish engineering standards, build compliance controls into delivery platforms, and mentor engineers. Work across JVM languages, Go, Python, TypeScript, Kubernetes, distributed systems, workflow engines, and AWS services while improving platform scalability, performance, automation, and developer productivity.

Lead software engineering projects and development teams building full-stack, cloud-based solutions. Design distributed microservices, APIs, reusable frameworks, and database-backed systems; provide technical leadership across Agile teams; establish engineering standards; mentor developers; improve system performance; reduce technical debt; and evaluate emerging technologies. The role requires extensive software development, cloud, frontend, CI/CD, infrastructure-as-code, testing, observability, and technical initiative leadership experience.

Design and deliver enterprise CI/CD platform capabilities used by thousands of software pipelines. Re-architect platform contracts and abstractions, embed compliance controls, lead technical initiatives, establish engineering standards, mentor engineers, and work across cloud, container, distributed systems, workflow, and programming language technologies. Troubleshoot cloud environments, improve distributed-system performance through observability, and leverage AI-based development tools.

Lead diverse technology projects and development teams building distributed microservices and full-stack cloud solutions. Provide technical leadership across Agile teams, define service boundaries and integration patterns, mentor engineers, establish development standards, reduce technical debt, improve performance, and influence technology strategy. The role uses modern programming languages, databases, AWS services, containers, APIs, CI/CD, infrastructure as code, automated testing, and observability.

Build and lead full-stack software engineering projects using distributed microservices, cloud platforms, APIs, databases, and modern development frameworks. Provide technical leadership across Agile teams, define architecture and integration patterns, mentor engineers, improve system performance, reduce technical debt, and establish engineering standards. The role requires collaboration with product managers and architects to deliver reliable cloud-based solutions and influence 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.

Paid 10-week Python software engineering internship on a DevOps team. Responsibilities include developing Python scripts, optimizing tooling, supporting CI/CD, collaborating with senior technologists, deploying solutions, and exploring AI-driven automation for log analysis, anomaly detection, and alerting in a trading infrastructure environment.

Design, build, and operate high-performance, cloud-native distributed services supporting machine learning and data platforms. Lead Java and Spring Boot development, AWS architecture, infrastructure as code, observability, reliability improvements, and production troubleshooting. Translate ambiguous requirements into robust service designs, influence engineering standards, lead technical reviews, mentor engineers, and promote responsible AI-assisted development practices.

Develops scalable, secure, and resilient Java or Python systems within an IAM team. Responsibilities include software design, coding, testing, troubleshooting, architecture documentation, data analysis, and operational stability. Leads responsible adoption of AI-assisted engineering tools, establishes validation and security standards, coaches engineers, and partners with architecture, data science, risk, compliance, and business teams.

Develop and maintain backend software for programmatic advertising systems. Responsibilities include designing applications, writing efficient code, implementing unit and integration tests, documenting development and deployment processes, analyzing integration and architecture needs, troubleshooting issues, collaborating with QA, participating in code reviews, and improving application performance and reliability.

Leads software engineering for JPMorganChase risk technology, designing, coding, testing, and delivering Python or Java solutions, automation, AI-assisted engineering, data pipelines, and resilient production services. Owns application risk, security, compliance, observability, reliability, remediation, and operational improvements. Collaborates across engineering and product teams, mentors engineers, promotes responsible AI tool adoption, and drives secure, scalable, high-quality software delivery.

Lead software engineering for secure, scalable applications in Java, Python, and Node.js across AWS and Kubernetes environments. Responsibilities include system design, coding, testing, troubleshooting, code review, SDLC improvement, and technical guidance. The role leads responsible adoption of AI-assisted engineering tools, establishes validation standards, supports automation, and influences application design and technical operations.

Lead software engineering efforts across Java, Python, and cloud-native environments. Design, develop, test, troubleshoot, and maintain secure software using AWS, Kubernetes, and Docker. Provide technical guidance, review code, improve SDLC automation, and promote responsible AI-assisted engineering practices. Influence product design and technical operations while supporting resilient, scalable applications and mentoring teams.

Leads software engineering projects and manages developers building distributed microservices, full-stack systems, and cloud-based solutions. Collaborates with product managers, mentors engineers, evaluates and occasionally writes code, and drives technology modernization using Java, Python, AWS, databases, containers, and related technologies to address regulatory and customer needs.

Leads software engineering and AI/ML delivery for large-scale risk technology systems. Designs complex architectures, develops secure production code, optimizes Spark clusters and data pipelines, and applies Python, PySpark, SQL, AWS, and Databricks. Establishes AI-assisted engineering governance, improves software quality and automation, analyzes large datasets, and leads technologists in delivering resilient, scalable applications.

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.

Designs, develops, tests, deploys, and maintains scalable Java and Python applications, RESTful APIs, and microservices. Responsibilities include API integration, database management, performance optimization, security, cloud integration, troubleshooting, and ongoing application support. The developer collaborates with frontend, product, and QA teams while contributing to secure, mission-critical capabilities supporting national security.

Design, develop, test, deploy, and maintain scalable Java and Python applications, RESTful APIs, and microservices. Integrate third-party services, manage SQL and NoSQL databases, optimize performance, troubleshoot issues, and apply security best practices. Collaborate with frontend, product, and QA teams, support cloud integrations, and enhance existing systems. The role requires an active Secret clearance and the ability to obtain and maintain TS/SCI clearance with CI polygraph.

Design, develop, test, deploy, and maintain scalable Java and Python applications, RESTful APIs, and microservices. Integrate third-party services, manage SQL and NoSQL databases, optimize performance, troubleshoot issues, and apply security best practices. Collaborate with frontend, product, and QA teams while supporting cloud-based solutions and existing applications. The role requires an active Secret clearance and the ability to obtain and maintain TS/SCI with CI Poly.

Design, develop, test, deploy, and maintain scalable Java and Python applications, RESTful APIs, and microservices. Integrate third-party services, manage SQL and NoSQL databases, optimize performance, troubleshoot issues, and apply security best practices. Collaborate with cross-functional teams on requirements and system integration. Support cloud-based solutions using AWS, Azure, or GCP, and work with containerization technologies such as Docker and Kubernetes.

Leads the design, development, deployment, and troubleshooting of secure, scalable Java and Python software systems. Builds Spring Boot microservices on AWS, applies distributed-systems and backend infrastructure patterns, and manages observability, testing, resiliency, and security. Uses Spark and SQL for large-scale data processing, guides responsible AI-assisted development, and defines guardrails for production AI agents. Mentors engineers, collaborates with architects and business stakeholders, and drives technical solutions across multiple corporate technology functions.

Leads software engineering projects and developers building distributed microservices and full-stack systems. Develops cloud-based solutions using Java, Go, Python, JavaScript, TypeScript, Vue, Node.js, databases, Docker, Kubernetes, and AWS technologies. Mentors engineers, evaluates emerging technologies, collaborates with product managers, supports regulatory needs, and delivers customer-focused financial technology solutions.

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.

Lead software engineering teams to build Client 360 and Marketing/Events data platforms. Oversee data acquisition, ETL transformations on AWS/Databricks, implement services/scripts, enforce data quality and architecture standards, apply agile development, and hire/mentor talent while partnering with stakeholders and product leadership.