Top Senior Python Jobs

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.

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.

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.

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.

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.

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.

Design, develop, deploy, and operate scalable backend services, microservices, APIs, and event-driven systems for cloud and IoT platforms. Build CI/CD pipelines and cloud-native deployments, secure device-to-cloud communications, optimize SQL and NoSQL data models, and troubleshoot application, messaging, network, and infrastructure issues. Collaborate with network and security teams, mentor engineers, conduct code reviews, and promote reliable, secure, maintainable production systems.

Develop, test, debug, document, and maintain scalable software systems and custom applications supporting data science and AI/ML capabilities. The role involves REST API and microservices development, cloud and container technologies, DevSecOps collaboration, software standards compliance, technology research, code reviews, unit testing, and agile delivery. Candidates will help solve complex national security and defense-related technical challenges while building robust, maintainable, and interoperable solutions.

Develop, prototype, integrate, and test Python-based software for missile warning/tracking missions. Contribute to containerization, testing, deployment, and provide technical guidance to team members while supporting DoD programs and maintaining high software engineering standards.

Develop open source SDKs, enterprise APIs, UIs, and backend systems supporting large-scale computer vision datasets. Build scalable, maintainable, performant, and well-tested software for unstructured data and AI workflows. Contribute to enterprise deployments across customer clouds and on-premises environments, while improving tooling, automation, engineering practices, and open source community initiatives in a remote-first team.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

The Senior Full Stack Developer will design, develop, test, and debug software solutions, collaborating with teams and optimizing applications. Responsibilities include user interaction design, back-end functionality, and ensuring software scalability and security.

Develop Python-based web applications, utilizing client-side technologies and databases while adhering to software engineering best practices.

Seeking an experienced Senior Python Developer proficient in Python and web frameworks. Must have strong skills in JavaScript and API services.

Lead end-to-end engineering initiatives for customer-facing features in a fast-paced startup. Build and maintain backend and frontend systems, design and evolve GraphQL APIs, debug production issues, participate in on-call rotation, and collaborate cross-functionally with product, policy, and commercial teams to deliver high-quality, scalable software for battery asset operations and project simulation.

The Senior Full-Stack Engineer will develop and maintain scalable web applications using Python and React, design APIs, and deploy applications on AWS.

The role involves developing applications using Python on the Azure platform, requiring senior level expertise and PowerShell scripting experience.

The role requires development on the Azure platform using Python, along with PowerShell scripting experience, for a senior developer position.

Looking for a Hive+Python Engineer with 8-10 years of IT experience, including 2-3 years in Python and Hive within a Big Data environment.

The Python Developer will create backend systems, develop ETL scripts, document code, adhere to web best practices, and support existing tools while troubleshooting connectivity issues.