Top Python Jobs

Lead a cross-functional agile team to design, build, test, and operate scalable, secure full‑stack applications. Implement microservices (Java/Spring Boot or Python), cloud-native architectures, RESTful APIs, and high-volume data processing with SQL/NoSQL. Drive code quality, automation/CI-CD, vendor evaluations, and engineering communities of practice while improving operational stability and observability.

Lead design, development, and production support of secure, cloud-native data and analytics systems. Drive adoption of AI-assisted engineering practices, improve automation and resiliency, evaluate vendor solutions, and mentor teams on secure, scalable software delivery.

Develop production-grade Python applications and API integrations using Django, FastAPI, or Zope REST Framework. Build ETL and data integration solutions, process XML and JSON, write complex SQL and MySQL queries, and parse PDF and Excel documents into structured JSON. Conduct code reviews, mentor developers, and collaborate with cross-functional teams.

Develop software applications in Python, integrate third-party and portfolio management APIs, build ETL and data integration solutions, process XML and JSON, work with MySQL and complex SQL, extract information from PDF and Excel documents, conduct code reviews, and mentor developers.

Leads the architecture and development of scalable, cloud-native backend systems using Python. Coordinates engineers, sets technical direction, establishes engineering standards, mentors teams, and drives technical roadmaps. Designs highly available, fault-tolerant systems with strong security and disaster recovery. Collaborates with product, infrastructure, operations, customers, and external partners while optimizing performance, reliability, and maintainability.

Modernize legacy SAS data-processing systems by translating logic into scalable, high-performance Python solutions. Build and optimize large-scale data pipelines using formats including SAS, Parquet, JSON, and SQL. Integrate PostgreSQL, implement parallel processing, automated testing, data validation, and quality assurance, and maintain well-documented code. Collaborate with IT specialists and stakeholders to validate requirements, troubleshoot issues, and deliver cloud-native modernization solutions.

Develops and maintains control-plane software for Layer 2 networking and switching systems. Responsibilities include requirements analysis, software design, C/C++ implementation, unit and integration testing, test automation, performance optimization, troubleshooting, root-cause analysis, and collaboration with architects and distributed teams. The role also contributes to technical specifications, customer issue resolution, standards, white papers, and patents.

Develops complete backend software solutions across the SDLC, including design, implementation, testing, delivery, and operations. Advises management on project issues, guides junior engineers, and makes technical decisions independently. The role focuses on Python backend development using frameworks such as Django or Flask, with opportunities to work on distributed systems, cloud platforms, databases, messaging, CI/CD, testing, and observability.

Lead development of Python-based quant research and portfolio construction platforms: design, build, test, and operate production-quality code; partner with Quant Research on models, validation, reusable libraries, and AI-assisted engineering practices to improve delivery, security, and resiliency.

Develop scalable data and research infrastructure, build workflows for structured and unstructured financial datasets, contribute to microservice-based platforms, and create web-based tools for internal users. The role involves greenfield development, system enhancement, and close collaboration with technology teams and firmwide end users at a quantitative investment company.

Investigate and resolve customer-impacting issues in Python services as a Tier-IV technical escalation point. Analyze distributed systems, databases, messaging, infrastructure, UI, and performance; lead root-cause analysis with engineering and infrastructure teams; and provide technical guidance and training to internal teams.

Build scalable and resilient Python Django web applications, APIs, SaaS products, mobile solutions, and enterprise integrations. Design back-end architecture, APIs, data models, and integrations; conduct code reviews; ensure secure, performant, maintainable code; mentor developers; document systems; estimate work; and plan project timelines. The role also involves AWS and Azure infrastructure, CI/CD, Docker, observability, and collaboration with product and front-end teams.

Develop scalable Python-based full-stack applications, data pipelines, and information infrastructure for multidisciplinary research and advanced analytics. Responsibilities include ingesting structured and unstructured data, contributing to big-data ecosystem design, building database-backed websites and RESTful services, using SQL and NoSQL technologies, and developing JavaScript frontends with modern frameworks.

Build and maintain scalable backend applications, serverless functions, microservices, data workflows, ETL pipelines, and cloud-native architectures using Python and AWS. Manage databases, APIs, batch jobs, and real-time integrations while optimizing performance, scalability, security, compliance, and cost. Collaborate with product, engineering, analytics, and data teams; contribute to architecture, CI/CD, infrastructure automation, development standards, and technical mentorship. Healthcare claims data experience is required.

Design, develop, and maintain secure, production-grade Python/Django applications and REST APIs; implement AuthE authentication patterns (OAuth/OIDC/SAML) for external users; build analytics and visualizations from large datasets; use AI-assisted development tools to accelerate delivery; ensure operational stability, CI/CD, and secure coding practices.

Provides technical leadership and hands-on software engineering for intelligence community data transformation and system modernization. Designs scalable Java or Python backend applications, microservices, APIs, distributed data pipelines, and cloud-native systems. Guides architecture, database strategy, security, performance, DevOps, and container orchestration across secure AWS or Azure environments. Mentors engineers, leads technical design sessions, and collaborates with government stakeholders and architects to develop technical roadmaps.

Senior backend (Python) engineer responsible for designing, building and maintaining RESTful backend services and APIs, integrating data science outputs, optimizing performance and multithreading, troubleshooting UAT/integration issues, leading teams, and documenting solutions for enterprise Data-to-Decision systems.

Maintain and extend production Python applications, build internal tools and reports, and own the Power BI reporting estate. Support SQL Server reporting databases, desktop estimating and pricing tools, and scheduled system automations. Gather requirements from business departments, follow version control and code review standards, document systems, and gradually assume independent ownership under senior technical guidance.

Develop, debug, and support scalable, secure software components throughout the SDLC. Build RESTful services, automation, and embedded-system applications while collaborating with product, QA, DevOps, SRE, and customer success teams. Participate in Agile Scrum planning, testing, releases, and issue prevention. Apply knowledge of operating systems, databases, cloud platforms, cybersecurity threats, and network vulnerabilities to deliver reliable software.

Leads the architecture, development, and scaling of fault-tolerant, cloud-native backend systems using Python. Sets technical direction, coordinates engineering efforts, mentors teams, establishes engineering standards, improves system performance and processes, and delivers secure, high-availability services. The role collaborates with product and infrastructure teams, supports disaster recovery and compliance, and represents PayPal with external partners and industry organizations.

Leads backend software projects and coordinates engineering work across the SDLC. Designs, develops, reviews, and operates scalable, fault-tolerant distributed services for Venmo’s payments platform. Collaborates with product managers and management, resolves technical issues, improves engineering processes, mentors junior engineers, and makes architectural decisions. Owns service performance and availability, participates in on-call rotations, supports incidents, and contributes to reliable cloud infrastructure using Python, databases, messaging systems, caching, and Terraform.

Designs, implements, tests, delivers, and operates scalable Python backend services across the full SDLC. Leads code and design reviews, advises management, collaborates with product managers, mentors junior engineers, resolves technical issues, and makes decisions supporting highly available distributed systems. Responsibilities include cloud infrastructure, infrastructure as code, database operations, service performance and availability, incident response, and on-call support.

Develop production-grade Python services, pipelines, testing frameworks, and data tools that automate quantitative market and credit risk model lifecycles. Build AI/ML and LLM-enabled documentation, data quality, validation, and workflow capabilities within governed enterprise environments. Collaborate with quants, validators, data engineers, and program leaders while applying secure software engineering, CI/CD, testing, and scalable design practices. Mentor junior developers and contribute to technical design reviews.

Build and maintain scalable Python-based AI applications under senior guidance. Assist with requirements, feature implementation, data modeling using Pydantic, code reviews, troubleshooting, testing, and CI/CD. The role requires collaboration, communication, and willingness to learn modern Python tools, frameworks, and libraries. Candidates should understand object-oriented programming, REST APIs, large language models, and AI coding tools. The position is fully remote within the United States.

Design and maintain scalable Python backend services, enterprise data integration frameworks, batch pipelines, REST APIs, and AWS cloud-native applications. Build serverless solutions using Lambda, DynamoDB, API Gateway, EventBridge, SQS, and Step Functions. Improve data pipeline observability, resilience, monitoring, and performance while supporting analytics, machine learning, and AI use cases. Collaborate with stakeholders and engineering teams, troubleshoot distributed systems, mentor junior engineers, conduct code reviews, and promote modern development and DevOps practices.