Top Remote Python Jobs

Build, customize, and maintain WordPress websites, including custom themes, plugins, integrations, and Elementor implementations. Optimize sites for responsiveness, SEO, performance, and cross-browser compatibility. Troubleshoot technical issues, collaborate with designers and project managers, manage multiple client projects, and stay current with WordPress best practices and technologies.

Design, implement, and optimize Pinterest’s large-scale batch processing infrastructure. The role focuses on Spark, Presto/Trino, Iceberg, and other big data technologies operating across hundreds of petabytes. Responsibilities include collaborating with data stakeholders, leading technical initiatives, mentoring engineers, and ensuring data systems are reliable, scalable, and efficient.

Leads the software engineering team responsible for client asset reporting and Sales Technology platforms. Oversees architecture, development, modernization, reliability, security, operational support, and delivery of business-critical applications. Hires, coaches, and develops engineers; establishes technical direction; prioritizes work using data and metrics; manages engineering risks; and communicates priorities, performance, and tradeoffs to senior stakeholders. The role requires hands-on C#/.NET, SQL Server, and Snowflake experience, with AI-assisted engineering knowledge preferred.

Develop and architect scalable iOS applications used by millions of customers. Lead mobile engineering practices involving clean architecture, dependency injection, performance optimization, testing, reliability monitoring, and maintainable code. Collaborate with Product, Design, and Engineering teams to deliver features, stay current with iOS technologies, and promote technical excellence across the iOS engineering community.

Interns build backend services, APIs, distributed systems, platform components, developer tools, and AI/ML infrastructure. Responsibilities span design, implementation, testing, deployment, maintenance, reliability, performance optimization, observability, and collaboration with Product, ML, Infrastructure, and customer-facing teams. The role is intended for undergraduate juniors and seniors graduating by June 2028 and offers mentorship through production-focused engineering work.

Leads the engineering organization, sets technical strategy, oversees managers, and guides architecture, reliability, security, scalability, CI/CD, and QA. Partners with Product, Design, AI, and Analytics leaders to deliver production-grade software and represent Engineering to executives, customers, partners, and investors. The role also owns recruiting, career development, headcount, vendors, cloud spend, compliance, and organizational processes while remaining hands-on when needed.

Build and enhance Canopy’s accounting practice management platform across the full stack. Design REST APIs and microservices, develop React user experiences, manage PostgreSQL-backed systems, write tests, conduct code reviews, and own Docker, GitLab, and Kubernetes deployments. Collaborate with product, UX, QA, engineers, and customers to deliver scalable features, resolve technical debt, mentor teammates, and adopt AI-assisted engineering tools.

Develop production quantitative software for Man Systematic in partnership with quantitative researchers and portfolio managers. Responsibilities include onboarding datasets, implementing trading signals, building portfolio optimization and visualization tools, enhancing research platforms, and optimizing code using numerical algorithms and distributed computing. The role requires Python and scientific-stack expertise, large-scale data experience, production engineering practices, Linux, Git, databases, and collaboration across investment and technology teams.

Build and support full-stack applications, APIs, integrations, and AI agent workflows for federal and national security partners. Develop accessible interfaces, backend services, authentication, audit logging, data models, testing, and deployment capabilities across cloud, private-network, and on-premises environments. Diagnose production issues, support releases, document solutions, collaborate with partner and platform teams, and mentor engineers. The role also requires adapting applications to federal security and delivery requirements.

Own full-stack engineering for a private-beta community platform, covering architecture, database design, development, testing, deployment, monitoring, security, and production support. Lead technical delivery, coordinate priorities across departments, review external engineering work, and support integrations. Use AI coding agents responsibly while maintaining code quality and technical judgment. Contribute to scalable backend architecture, LLM integrations, RAG, and AI agents.