Top Remote Python Jobs

Lead multiple backend engineering squads responsible for scalable member-platform systems. Manage and mentor engineers, oversee delivery and technical strategy, improve reliability and performance through SLOs, modernize cloud and event-driven architectures, ensure data integrity, and partner with Product, Data, Design, and Infrastructure. The role also includes technical design reviews, workforce planning, security and compliance practices, incident learning, and cloud cost management.

Build and operate MoonPay’s developer platform, including APIs, SDKs, embedded components, reference applications, and integration tooling. Design secure browser and mobile experiences, simplify payment and crypto workflows, and ensure reliable distributed transaction processing. Own developer interfaces, documentation, versioning, observability, and migration strategies while supporting authentication, identity, KYC, payment methods, and purchasing capabilities across web, iOS, and Android.

Build the realtime, HIPAA-compliant messaging and collaboration frontend ('Pulse') that makes an AI colleague feel human. Implement complex interactive data visualizations, micro-interactions, and high-performance accessible interfaces. Work embedded with product and design, own UI quality, iterate on AI-driven specs, and deliver production frontend experiences clinicians will trust.

The Head of Engineering will drive technical direction, develop product architecture, and eventually lead the engineering team while coding and building AI systems.

Build and operate large-scale audio data pipelines for AI model training. The role involves discovering data sources, developing reliable data-processing systems, optimizing quality, throughput, and cost, and collaborating with AI scientists. The engineer will own projects from discovery through implementation and ongoing improvement, using strong backend engineering skills in Python, Bash, and Linux environments.

Designs, builds, deploys, and maintains secure full-stack identity governance software for federal customers. Responsibilities include backend and frontend development, distributed systems architecture, cloud and on-premises infrastructure, CI/CD, observability, reliability, audit readiness, and operations in disconnected or classified environments. The role also requires collaboration across engineering, product, and design; architectural leadership; AI-augmented software development; and mentoring peer engineers.

Leads and grows the Payments engineering team while remaining hands-on in software development. Designs scalable backend systems using .NET, databases, messaging, Docker, and AWS. Manages engineering and QA professionals, mentors team members, prioritizes initiatives, and collaborates with product and business stakeholders. The role combines approximately 60% engineering with 40% people and project management.

Leads and mentors application engineers while designing Java and Spring Boot microservices. Oversees application modernization, VM-to-container migration, GCP and GKE deployments, Kubernetes troubleshooting, CI/CD, testing, database integration, observability, and distributed systems. Coordinates technical dependencies across a large application portfolio and collaborates with platform, DevOps, security, and architecture teams. Uses AI-assisted engineering tools to accelerate development, modernization, testing, documentation, and automation.

Build and scale full-stack software for an AI-native cybersecurity platform. Responsibilities include developing backend services and APIs, creating frontend applications, collaborating on product features, writing tested code, participating in reviews, troubleshooting across the stack, and improving engineering processes. The role requires 3–5 years of software engineering experience and experience with backend, frontend, databases, and cloud technologies. Docker, Kubernetes, CI/CD, AI/ML, and startup experience are preferred.

Serves as a principal technical leader across Integrations, Workflows and Orchestration, and Data Management. Designs and modernizes distributed, event-driven backend systems; writes production code; resolves reliability issues; leads incident response; establishes engineering practices; shapes technical roadmaps; evaluates build-versus-buy decisions; documents architecture; mentors engineers; and influences teams and stakeholders without direct authority.