Top Senior Python Jobs

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.

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.

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.

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.

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.

Leads architecture and hands-on delivery of complex backend, UI, API, and production AI applications. Owns ADK and LangGraph agentic workflows, establishes engineering standards, drives resiliency and operational readiness, and mentors engineers. Partners across Product, Design, Security, and SRE to deliver secure, scalable systems using Python, React, AWS, FastAPI, databases, CI/CD, and modern software engineering practices.

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 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 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.

Leads a software engineering team delivering regulatory model applications and cloud modernization initiatives. Designs scalable distributed systems using Python, PySpark, AWS, and Databricks; remains hands-on with implementation, testing, deployment, and operational support. Establishes secure AI-assisted engineering practices, validates AI outputs, promotes automation, and ensures coding, resiliency, and quality standards. Partners with stakeholders, provides technical leadership, and manages enterprise-grade software delivery across multiple priorities.

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.

Leads development of secure, scalable software for a distributed multi-tenant platform, including APIs, data ingestion, pipelines, dashboards, and isolated AWS deployments. Designs and operates cloud-native Kubernetes workloads, promotes automation and AI-assisted engineering practices, and champions security, privacy, and supply-chain controls. Evaluates architectures, mentors teams, improves operational stability, and supports platform delivery across regulated environments.

Lead design, develop, test, and support enterprise backend services using Java/Spring Boot and Python. Build RESTful APIs, integrate data services, and deliver AI/ML-enabled features (LLMs, RAG, vector search) through the full SDLC. Produce architecture artifacts, ensure code quality, observability, security, and collaborate in Agile teams.

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 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 software engineering efforts within JPMorganChase’s Commercial and Investment Bank Technology team. Responsibilities include designing, developing, testing, securing, debugging, and operating production software; improving automation and resiliency; adopting responsible AI-assisted development practices; coaching engineers; and evaluating vendor and architectural solutions. The role requires advanced programming, cloud-native development, SDLC expertise, agile practices, and financial services technology knowledge.

Lead design and deliver production-grade trading systems using Python and Java, build AI-native platforms, champion AI-assisted engineering practices, partner with Credit Sales & Trading, support production stability, and drive adoption of secure, automated SDLC and cloud-native solutions.

Leads and mentors multiple software engineering teams while overseeing budgets, technical strategy, delivery, and talent development. Designs and develops Java/Python backend services with Spring, React full-stack applications, Databricks data pipelines, and AWS cloud-native solutions. Establishes AI-assisted engineering practices, governance, quality controls, and automation across teams. Serves as a technical owner for architecture, security, resilience, performance, and production support while integrating AI/ML and LLM-powered capabilities.

Lead software engineering projects and developers building distributed microservices, full-stack systems, and cloud-based solutions. Develop with Java, Python, AWS, databases, containers, and modern APIs; establish engineering standards, design patterns, and operational practices. Partner with product managers and architects, reduce technical debt, improve system performance, mentor engineers, and influence technology strategy across Agile teams.

Leads software engineering projects and developer teams building large-scale, cloud-native, distributed systems. Designs and implements full-stack solutions using Java, Python, AWS, microservices, databases, containers, and modern web technologies. Provides technical leadership, shapes architecture and platform roadmaps, mentors engineers, establishes engineering standards, and drives reliability, observability, performance, and cross-functional delivery.

Lead engineering teams and technology projects that build reliable, cloud-native, full-stack systems. Design and implement distributed microservices, APIs, databases, and shared cloud platforms using Java, Python, AWS, containers, and modern AI tools. Provide technical leadership on architecture, resilience, observability, performance, coding standards, platform roadmaps, and enterprise technology strategy while mentoring engineers and partnering with product and architecture leaders.