Top Python Jobs

Design, develop, and maintain scalable Python applications; collaborate with cross-functional teams to deliver features; ensure performance and quality; identify and fix bugs; maintain code quality and automation; lead and mentor team members using agile practices.

Design, develop, troubleshoot, and optimize enterprise-grade Python applications, distributed systems, data-processing services, and automation platforms. Responsibilities include architecture, database performance, secure coding, automated testing, CI/CD, observability, incident response, reporting, and production support. The role collaborates with product, data, infrastructure, and business teams while mentoring engineers and improving reliability, scalability, and maintainability.

Lead full-stack development and modernization of cloud-based investment platforms supporting portfolio management and trading. Design secure APIs, user interfaces, AWS infrastructure, and CI/CD pipelines; oversee production operations, testing, releases, documentation, and code reviews. Partner with business teams, vendors, and global stakeholders to define solutions, troubleshoot issues, and improve reliability. Provide technical leadership, mentorship, governance, security assessments, and root-cause analysis across development teams and investment technology systems.

Leads full-stack development and modernization of cloud-based investment technology platforms. Designs APIs, user interfaces, AWS infrastructure, integrations, CI/CD pipelines, and production support processes. Oversees code reviews, testing, security, documentation, root-cause analysis, and operational improvements. Partners with investment, product, operations, vendors, and technology stakeholders to define requirements and deliver scalable solutions. Provides technical leadership, mentorship, governance, and delivery oversight across employees, contractors, and vendor teams.

Work as a Python development intern building applications and APIs, processing and analyzing data, working with databases and data pipelines, contributing to system architecture, writing clean documented code, and collaborating with the team. Strong emphasis on backend development, SQL, ORMs, and REST API design with potential conversion to full-time.

Design, architect, test, and deliver end-to-end full-stack applications for financial reporting and data visualization. Improve and refactor systems using Agile practices. Build backend services with Python/Flask/SQLAlchemy/Celery and frontend SPAs with React and TypeScript. Collaborate with product managers and data engineering to safely extract, parse, and serve large-scale private asset analytics.

Senior full‑stack engineer responsible for architecting, testing, and shipping end-to-end web applications. Refactor and optimize code, collaborate with product and data engineering teams to serve large-scale financial reporting and data-visualization workloads.

Build and maintain Django-based web applications, design RESTful APIs, implement frontend features (HTML/CSS/JS), optimize performance and security, collaborate with cross-functional teams throughout the development lifecycle.

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 projects, establish engineering standards, mentor engineers, and optimize distributed systems. Work across JVM languages, Go, Python, TypeScript, Kubernetes, workflow engines, and AWS services while supporting cloud infrastructure, APIs, automated testing, and AI-enabled development.

Develop Python-based software and RESTful APIs while administering Linux/UNIX systems from the command line. Write Python and shell scripts, deploy and manage Docker-based applications, and support system architectures. The role also involves basic networking, cloud services, package management, and automation tools. Candidates should have 0–2 years of experience and a bachelor's degree in Computer Science or Electrical Engineering.

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.

Build and lead cloud-based full-stack software solutions for Capital One’s Cloud Operations Resilience Engineering division. Responsibilities include developing distributed microservices and APIs, using Python, Go, databases, networking services, and AWS; leading technology projects and Agile teams; defining service architectures; improving observability, resilience, performance, and technical debt; mentoring engineers; and shaping long-term technology strategy.

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.

Lead and mentor software engineers building full-stack, cloud-based solutions using microservices and distributed systems. Design service boundaries, APIs, reusable frameworks, and infrastructure; guide Agile teams; improve performance and reduce technical debt. The role involves Java, Python, AWS, databases, containers, CI/CD, infrastructure as code, automated testing, observability, and emerging AI development tools. Engineers will influence technology strategy, establish engineering standards, and deliver secure solutions supporting regulatory and customer needs.

Build and lead development of cloud-based full-stack systems and distributed microservices using languages including Java, Python, and TypeScript. Lead technology projects and developers, define service architectures, establish engineering standards, improve system performance, reduce technical debt, and deliver secure solutions supporting regulatory and customer needs. Mentor engineers, evaluate emerging technologies, and contribute to long-term technology strategy within Agile teams.

Lead and mentor engineering teams building full-stack, cloud-based solutions with distributed microservices and modern technologies. Define service boundaries and integration patterns, establish engineering standards, improve system performance, reduce technical debt, and guide technology strategy. Collaborate with product managers, architects, and Agile teams while developing scalable solutions using languages including Java, Python, and JavaScript and platforms such as AWS, Docker, Kubernetes, and Spark.

Lead full-stack engineering initiatives and developer teams building distributed microservices and cloud-based systems. Design service boundaries, APIs, frameworks, and operational standards; mentor engineers; improve performance and reduce technical debt. Collaborate with product managers and architects while using modern programming languages, databases, container orchestration, AWS services, CI/CD, infrastructure as code, automated testing, observability, and AI coding tools.

Lead software engineering projects and developers building distributed microservices and full-stack cloud solutions. Design service boundaries, APIs, frameworks, and scalable systems using Java, Python, AWS, Spark, and related technologies. Provide technical leadership across Agile teams, establish engineering standards, mentor engineers, improve system performance, reduce technical debt, and influence long-term technology strategy. Collaborate with product managers and architects while delivering secure, reliable solutions in a cloud-based environment.

Build and lead full-stack cloud engineering projects for Capital One’s Cloud Operations Resilience Engineering division. Develop distributed microservices, APIs, and cloud-based solutions using Python, Go, AWS, databases, and networking services. Provide technical leadership across Agile teams, partner with architects, improve system resilience and performance, reduce technical debt, mentor engineers, and influence technology strategy through emerging tools and operational excellence.

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.

Lead the design, development, and implementation of resilient pricing tools using Python and cloud technologies. Improve automation, deployment reliability, testing, documentation, and technical standards. Coordinate complex projects, research new development practices, identify technical blockers, and mentor junior developers. Collaborate with stakeholders while developing expertise in insurance pricing and supporting applications built with technologies such as Streamlit, Flask, Docker, Kubernetes, and cloud compute.

Build scalable cloud-native and distributed services for Cisco Catalyst Center. Design, develop, test, and maintain secure microservices using Go, Python, Java, Kubernetes, and cloud technologies. Collaborate with engineering, product, and security teams to deliver enterprise network automation features, improve platform performance and resiliency, and advance AI-assisted engineering and development practices.

Designs and builds scalable applications using React and Python, contributing to component development, data storage, deployment practices, performance optimization, testing, and client requirements analysis. The role collaborates with technical leaders, clients, and distributed teams in agile environments, using Git, code reviews, cloud platforms, databases, and AI-native development practices. U.S.-based travel to client sites is required.

Lead hands-on development of enterprise-grade Python applications, data-intensive services, and automation platforms. Responsibilities include system design, application development, database design and query tuning, automated testing, debugging, production support, reliability improvements, secure coding, and CI/CD practices. The role partners with product, data, and infrastructure teams, manages multiple projects, and mentors teams through strong technical and business communication.

Leads complex software optimization initiatives from design through implementation and validation. Builds cloud-native services, data pipelines, dashboards, automation, and AI-enabled forecasting solutions. Analyzes cloud costs, resource utilization, reliability, capacity, and engineering productivity while partnering with Engineering, Finance, Product, Data, Platform, and SRE teams. Ensures scalable and secure integrations, testing, observability, financial data quality, and measurable savings. Provides technical leadership and mentorship to junior engineers without direct people-management responsibilities.