Top Senior Python Jobs

Build and scale low-latency ad-serving software handling billions of daily auctions. Responsibilities include developing data- and model-driven features, optimizing algorithms and architectures, reducing cloud costs, extending observability, supporting distributed infrastructure, participating in on-call rotations, and documenting systems and incident procedures.

Leads software engineering projects and developer teams building distributed microservices and full-stack systems. Designs cloud-based solutions, collaborates with product managers, addresses regulatory needs, evaluates and writes code, mentors engineers, and promotes modern technology adoption. The role uses multiple programming languages, databases, container orchestration, and cloud services while contributing to a collaborative Agile delivery environment.

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 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.

Leads software engineering projects and developer teams building distributed microservices and full-stack systems. Designs cloud-based solutions using Java, Python, AWS, APIs, databases, Docker, Kubernetes, and related technologies. Collaborates with product managers, mentors engineers, evaluates emerging technology, and delivers enterprise platforms supporting regulatory and customer needs.

Leads software engineering projects and developers building distributed microservices and full-stack cloud solutions. Collaborates with product managers, mentors engineers, evaluates emerging technologies, and delivers robust systems supporting regulatory needs and customer experiences. The role uses Python, JavaScript, Java, TypeScript, SQL, Go, AWS, databases, Docker, and Kubernetes.

Lead a team of software developers and oversee diverse technology projects involving distributed microservices and full-stack systems. Build robust cloud-based solutions supporting regulatory requirements and customer experiences. Use Java, Go, Python, JavaScript, TypeScript, SQL, AWS, Docker, Kubernetes, RDBMS, and NoSQL databases. Mentor engineers, collaborate with product managers, evaluate emerging technologies, and drive delivery in an Agile environment.

Build software, data pipelines, dashboards, and automation for cloud cost visibility, infrastructure efficiency, reliability, engineering productivity, and financial accountability. Analyze workloads and billing data, implement AI- and analytics-enabled forecasting and anomaly detection, develop cloud-native services, and support capacity planning, cost allocation, and optimization. Collaborate with Engineering, Finance, Data, Platform, SRE, Architecture, and Product teams while testing, troubleshooting, documenting, and communicating recommendations and business value.

Designs, develops, integrates, tests, deploys, and supports scalable backend software and web applications. Builds RESTful APIs with Django, contributes to architecture, documents technical work, and supports production services using Kubernetes, EKS, and AWS. Mentors junior engineers, collaborates with stakeholders and QA, evaluates performance metrics, supports releases, and presents technical decisions to internal and external audiences. The role requires independent judgment and occasional nights or weekends.

Design and build data-driven advertising software features, scale distributed applications and infrastructure, optimize algorithms and architectures, reduce cloud costs, and improve observability. Participate in on-call rotations and incident escalation, create technical documentation and playbooks, and collaborate with distributed teams across time zones. The role requires strong software architecture, performance optimization, data modeling, Linux, and compiled-language expertise.

Develop and maintain scalable backend services for programmatic advertising platforms. Responsibilities include designing REST APIs, analyzing requirements, integrating and releasing software, managing production deployments, troubleshooting complex issues, collaborating with QA and cross-functional teams, conducting code reviews, mentoring engineers, and promoting reliable engineering practices. The role requires Python and Django expertise, PHP experience, AWS and Kubernetes/EKS experience, and on-site work in Chicago twice weekly.

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 software engineering projects and developer teams building distributed microservices and full-stack, cloud-based solutions for risk management and regulatory compliance. Responsibilities include coding and code evaluation, mentoring engineers, collaborating with product managers, adopting emerging technologies, and developing systems using Python, TypeScript, React, AWS, databases, Docker, and Kubernetes.

Leads software engineering within JPMorganChase’s Corporate Data and Analytics team. Responsibilities include designing, developing, testing, debugging, and supporting secure, scalable production systems; reviewing code; improving operational stability; automating recurring remediation; and evaluating architectural solutions. The role also drives responsible adoption of AI-assisted engineering tools, coaches teams on secure validation practices, manages stakeholders and vendors, and supports data ingestion, management, and analytics initiatives.

Develop and deliver Java and Python functionality for the F-35 Prognostics Health Management platform. Responsibilities include evaluating algorithm concepts, analyzing large datasets, prototyping algorithms, documenting development and testing, designing software pipelines, and managing configuration processes. The role requires collaboration across teams, independent problem-solving, and development of predictive capabilities supporting aircraft maintenance and supply chain decisions.

Own the specification, design, and implementation of features for FareHarbor’s large-scale web application. Collaborate with product team members, develop scalable and performant full-stack solutions, improve automated testing, resolve technical challenges, and participate in code reviews. The role requires strong Python and JavaScript skills, experience with front-end and back-end frameworks, relational databases, performance optimization, and agile development.

Own the specification, design, and implementation of features for FareHarbor’s large-scale web application. Collaborate with product teammates, develop scalable and performant full-stack solutions, improve automated testing, resolve technical issues, and participate in code reviews. The role requires strong Python and JavaScript skills, experience with front-end and back-end frameworks, relational databases, and production scalability challenges.

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 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 diverse technology projects and mentor software developers while building robust cloud-based backend solutions. Collaborate with product managers, develop distributed microservices and full-stack systems, address regulatory needs, and use modern programming languages, databases, container orchestration, and cloud technologies. The role also involves evaluating code, promoting engineering best practices, staying current with technology trends, and supporting major digital transformation initiatives.

Lead backend software engineering initiatives and developers building scalable customer rewards redemption services. Drive architectural modernization toward microservices, collaborate with product, fraud, and customer experience teams, deliver cloud-based solutions, mentor engineers, evaluate code, and apply technologies including Go, Python, Java, SQL, Docker, Kubernetes, and AWS.

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.

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.

Lead technical design and deliver Databricks Lakehouse solutions on AWS: build and optimize Python/PySpark batch and streaming pipelines, implement Delta Lake patterns, ensure governance/security (Unity Catalog, IAM, KMS), drive CI/CD and IaC, mentor engineers, adopt AI-assisted development practices, and own operational stability, monitoring, and incident response.

Leads software engineering projects and developer teams building distributed microservices and cloud-based backend solutions. Collaborates with product managers, mentors engineers, evaluates code, and addresses regulatory and customer needs. Uses Java, Python, SQL, Node.js, Go, Scala, AWS, containerization, orchestration, relational databases, and NoSQL technologies while driving innovation and delivery across Capital One.