Top Remote Python Jobs

Build and own large-scale backend and full-stack systems supporting AI agents, data integrations, sync engines, and construction financial products. Design major subsystems, make architecture and build-versus-buy decisions, debug complex production issues, improve scalability and performance, and mentor engineers. Work across cloud infrastructure, distributed systems, legacy on-premise integrations, caching, data consistency, and AI-powered workflows while collaborating directly with founders and customers.

Design and scale highly available backend services for an AI-powered manufacturing platform. Build AWS-based event-driven systems with Node.js, REST/GraphQL APIs, and database integrations. Use AI coding agents while validating correctness, write tests and documentation, improve observability and reliability, debug production issues, and collaborate with product, frontend, and infrastructure teams. Contribute to technical design, code reviews, engineering best practices, and responsible adoption of AI-assisted development.

Develop and maintain scalable Salesforce solutions using Apex, triggers, asynchronous operations, SOQL/SOSL, and Lightning Web Components. Build REST and SOAP integrations, translate business requirements into secure architectures, troubleshoot Salesforce applications, and collaborate with admins, architects, and stakeholders. Apply version control, deployment, testing, and Salesforce best practices while staying current with platform releases.

Build and maintain full-stack SmartCenter capabilities using Python backends and web technologies. Design APIs, business logic, workflows, integrations, and user experiences; improve system architecture, testing, reliability, security, privacy, and compliance. Partner with product, design, QA, and customer-facing teams to deliver pragmatic solutions, support production systems, and apply responsible AI-assisted development practices.

Leads and develops a Scrum-based software engineering team, improving Agile practices, planning, delivery predictability, workflow management, KPIs, and software quality. Partners with technical and business stakeholders in a Microsoft technology environment, balancing production support with strategic development initiatives. Coaches developers, supports staffing and resource planning, and provides technical leadership without serving as the primary developer.

Builds simulation infrastructure and software-in-the-loop sensor simulation products that help customers test and validate autonomous driving, drone delivery, eVTOL, robotics, and other physical AI systems safely at scale.

Lead and mentor a software engineering team, provide technical guidance, drive architecture and engineering excellence, manage sprint execution, collaborate on product roadmaps, ensure scalable and reliable systems, foster continuous improvement, and support recruiting and onboarding. The role requires balancing technical strategy with business impact while developing high-performing engineers.

Develop and optimize Oracle 19c SQL and PL/SQL solutions, including packages, procedures, functions, triggers, indexes, and execution plans. Tune high-volume transactional databases, monitor SQL with Oracle Enterprise Manager Cloud Control, prevent deadlocks, address plan degradation, and implement SQL profiles and baselines for production issues. Provide technical support, collaborate with stakeholders, and mentor Oracle developers.

Develop and deliver high-volume enterprise applications across the full software development lifecycle. Design, code, test, debug, optimize SQL solutions, troubleshoot complex issues, contribute to scalable architecture, collaborate with technical and business stakeholders, and mentor other developers. Work independently while participating in Agile development and production implementation.

Own and evolve enterprise AWS infrastructure, governance, security, identity, networking, and shared platforms. Build and operate full-stack services in TypeScript and Python, automate infrastructure and delivery, improve monitoring and reliability, manage incidents and on-call operations, and establish audit-ready controls. Partner across engineering and IT, improve production readiness, and mentor engineers while delivering secure, scalable, low-blast-radius systems.