Top Remote Python Jobs

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.

Staff Software Engineer responsible for technical strategy, architecture, complex feature design, implementation, scalability, and greenfield development. The role mentors engineers, leads design and code reviews, drives technical alignment, addresses technical debt, participates in hiring, and remains a hands-on contributor to full-stack enterprise software development using technologies such as PHP, Laravel, Vue.js, and MySQL.

Lead enterprise automation architecture and delivery across RPA, workflow automation, process mining, intelligent automation, testing, bots, citizen development, and AI orchestration. Establish and operate an Automation Center of Excellence, identify high-value use cases, guide implementation, manage governance and regulatory alignment, support training and adoption, and track financial value. Work hands-on with business stakeholders, technology teams, vendors, and external consultants in a regulated life sciences environment.

Build and maintain Hospitable’s core and growth platform using Laravel, PHP, MySQL, Angular, and Kubernetes. Develop customer-focused features, shape product decisions, improve performance, debug production issues, refactor code, and implement observability and testing practices. Collaborate with product, sales, customer success, and engineering teams in a remote distributed environment. The role emphasizes maintainable software, customer value, independent decision-making, and AI-assisted development using tools such as Cursor.

Own customer-facing product features end to end, from problem definition and design through implementation, launch, measurement, and maintenance. Build reliable full-stack systems across video editing, growth and monetization, media management, or AI products. Partner with Product and Design, run experiments, analyze metrics, improve engineering practices, and provide architectural guidance, reviews, and mentoring.

Leads architecture, development, and operation of scalable Azure and Power Platform solutions. Provides hands-on coding, technical leadership, mentoring, code review, and agile team guidance. Designs Azure DevOps CI/CD pipelines, deployment automation, and infrastructure as code while ensuring security, governance, compliance, performance, and quality. Champions Microsoft Copilot and AI-assisted development, collaborates with product and business stakeholders, and manages multiple initiatives across enterprise software platforms.

Build and scale Daymark Health’s cancer care platform across the stack. Responsibilities include developing secure infrastructure and core systems, collaborating with product, data, operations, and customers, integrating workflows, following HIPAA and SOC 2 controls, handling PHI securely, and using AI coding tools to accelerate development. The role requires contributing to technical strategy, improving user experience, and adapting quickly in a startup environment.

Build and operate reliable backend systems and APIs for high-traffic products. Responsibilities include distributed system design, data modeling, service architecture, performance tuning, automated testing, observability, incident management, and end-to-end feature delivery. The role partners with Product and Design, makes architecture decisions, mentors engineers, and applies AI-assisted development tools responsibly.

Designs, develops, implements, tests, and maintains PTC Windchill PLM solutions and ThingWorx integrations for Department of Defense customers. Leads architecture, customization, data migration, enterprise integration, testing, troubleshooting, documentation, training, and end-user support while managing a small technical team. Requires expertise in Windchill architecture, development, migration methodologies, SQL, Java, security configuration, and related enterprise technologies.

Own customer outcomes from discovery through production deployment. Build decision systems using ontologies, reasoning, graph analytics, optimization, and machine learning over enterprise data. Write Python, SQL, and PyRel; debug unfamiliar systems; tune performance; harden deployments; document reusable solutions; and upstream platform improvements. Lead technical workshops and proofs of concept while partnering closely with customers, Product, and Engineering.