Top Remote Python Jobs

Build and own production software systems spanning embedded systems, real-time control, cloud services, and data pipelines. Responsibilities include architecture, coding, testing, reliability engineering, observability, incident response, technical design reviews, cross-functional hardware collaboration, hiring, and mentoring. The role requires strong systems fundamentals, distributed systems experience, debugging ability, and proficiency in at least one major programming language.

Manage and develop an engineering team while owning delivery, hiring, performance, technical judgment, and escalation response. Stay hands-on with coding and architecture, use coding agents effectively, improve engineering processes, and help engineers build stronger skills in scoping, estimation, decision-making, and ownership. Balance roadmap priorities with customer commitments and turn recurring issues into lasting product improvements across HumanSignal’s AI data and annotation platforms.

Build and maintain backend services, APIs, and integration layers for a modular ecommerce platform. Integrate personalization, semantic and LLM search, DAM, PIM, SAP/HANA, ERP, analytics, and customer data systems. Use AI coding agents throughout development while validating code quality, security, performance, and reliability. Design scalable APIs, automated testing, observability, and reusable architecture while collaborating with internal teams, vendors, and implementation partners.

Senior Software Engineer responsible for designing backend-heavy TypeScript and Node.js services, building REST APIs, modeling PostgreSQL data, supporting production systems, improving reliability and observability, and owning services end to end. The role includes incident investigation, technical planning, partner integrations, code review, mentoring, and occasional React work. Engineers collaborate with Product and Engineering leadership while developing expertise in crypto and stablecoin payments.

Develops, enhances, tests, deploys, and supports existing and new software applications. Responsibilities include analyzing requirements, designing and modifying applications, collaborating with stakeholders, conducting code reviews, troubleshooting production issues, maintaining documentation, and using DevOps tools to deploy across environments. The role requires strong Java development skills plus experience with web technologies, Spring, REST services, SQL, ORM libraries, Git, and modern frontend frameworks.

Full-stack engineers will develop features for a system used by radiologists, focusing on low-latency WebSocket workflows and UI/UX design.

Develop and expand Laravel/PHP backend and Vue.js frontend applications for Relocity’s global mobility platform. Responsibilities include architecture, implementation, testing, code reviews, debugging, documentation, REST API development, database optimization, and troubleshooting. The engineer will own complex technical problems, collaborate with Product and Design, apply product and user-experience thinking, and use AI-enabled development tools to accelerate software delivery.

Build, deploy, and operate production software for enterprise logistics customers. The role involves developing core delivery orchestration infrastructure, integrating APIs and platforms, debugging fleet and logistics workflows, taking products from concept through deployment, and collaborating directly with customer engineering, operations, and executive teams. The engineer will also partner with product and AI teams to shape the company’s North American engineering strategy.

Build production integrations, data pipelines, spend models, and agentic AI workflows for enterprise procurement customers. Embed with customer teams to normalize messy data, define and measure deployment outcomes, customize reliable workflows, and create customer-specific evaluations. Lead demos, training, security reviews, and pilot implementations while feeding reusable integrations and patterns back into the core platform. Travel to customer sites approximately once or twice monthly.

Leads the software engineering organization responsible for scalable, reliable applications and systems integrating hardware, embedded software, edge computing, cloud infrastructure, and machine learning. Sets technical strategy, develops engineering leaders, drives product delivery, establishes engineering standards, and ensures operational excellence across national-scale deployments. Partners with Product, Deployment, Data Science, and executive leadership to align roadmaps, resolve risks, and build high-performing distributed teams.