Top Remote Python Jobs

Executive technology leader responsible for strategy, modernization, and operations across a global fintech SaaS portfolio. Oversees software engineering, QA, DevOps, cloud operations, security, customer engineering, and technology partnerships. Leads AI adoption, platform consolidation, cloud optimization, compliance, reliability, customer implementation, budgeting, vendor management, and organizational transformation across complex, regulated products.

Leads Tonal’s Experiences engineering team of six, owning the member experience roadmap across trainer, mobile app, and backend platforms. Responsibilities include people management, hiring, coaching, performance management, delivery execution, technical quality, reliability, performance, testing, release health, architecture review, and cross-functional collaboration with Product, Design, Data Science, Content, and executives. The role requires maintaining technical depth while improving team effectiveness and shipping consumer-facing experiences.

Design, develop, maintain, and optimize high-performance iOS and macOS applications using SwiftUI. Collaborate with product managers, designers, and backend engineers to deliver reliable user experiences for artists, managers, and touring crews. Apply testing strategies, ensure application stability across devices and workflows, and stay current with SwiftUI and software development trends.

Designs, develops, tests, and maintains software features, APIs, services, and database integrations. Writes unit and integration tests, participates in code reviews and Agile ceremonies, troubleshoots defects, supports production issues, and documents technical changes while collaborating remotely with client teams.

Design, develop, test, and maintain production software while guiding architecture, code quality, security, performance, and technical delivery. Mentor engineers, participate in code reviews, address technical debt, break work into executable tasks, and collaborate with product stakeholders. The role emphasizes AI-assisted development, SOLID principles, service-based architectures, CI/CD, cloud platforms, containerization, and effective technical communication.

Owns day-to-day database operations and backup/recovery for a large multi-account AWS environment. Maintains RDS, Aurora, and self-managed databases, validates backup restoration, executes disaster-recovery runbooks, and collaborates with infrastructure, security, Kubernetes, networking, and cloud architecture teams. Supports escalations from a 24x7 monitoring team and helps advance managed services and Cloud Center of Excellence capabilities.

Build Python backend services and data-intensive systems supporting member identity, eligibility, billing, partner integrations, reporting, and analytics. Design APIs, asynchronous workflows, and data pipelines; validate, reconcile, retry, replay, and recover inconsistent external data. Improve production reliability, observability, testing, and performance while collaborating with Engineering, Product, and Operations. The role offers growth toward independent ownership of services and technical decisions.

Build and improve full-stack features for a legal AI platform. Responsibilities include frontend and backend development, responsive interfaces, data models, APIs, integrations, data pipelines, testing, deployment, observability, debugging, and performance improvements. The engineer will work directly with users, own projects end to end, make architectural tradeoffs, and help shape product direction in an early-stage company.

Own developer productivity across a large monorepo and the path to production. Improve build, test, deployment, and coverage workflows; enable teams to ship safely and quickly; support multi-cloud and multi-region expansion; and strengthen operational excellence. The role requires delivering framework-level improvements across teams while contributing to backend feature code and working directly with customers on complex scaling challenges.

Build Exoware’s production infrastructure from the ground up, including deployment, scaling, upgrades, recovery, CI/CD, monitoring, telemetry, security, and operational tooling. Design reliable systems across Kubernetes, ECS, cloud services, networking, and storage while writing software to automate operations. The role requires architectural ownership, production infrastructure experience, and the ability to improve the underlying distributed systems through production insights.