Top Remote Python Jobs

Principal Engineer serving as the CTO’s technical deputy, leading day-to-day engineering execution, architecture, code reviews, developer support, and delivery. The role requires hands-on full-stack development across databases, backend, frontend, cloud infrastructure, and DevOps. It also champions AI-agent-assisted development by establishing workflows, guardrails, and quality standards. The engineer will mentor teammates, resolve technical blockers, improve reliability and documentation, and collaborate with technical, product, and research stakeholders.

Leads Nooks’ software engineering organization, technical vision, AI strategy, government contract delivery, internal platform, architecture, and technology investment. Builds and scales the engineering team, establishes outcome-based operating practices, oversees delivery economics and customer relationships, drives AI adoption and governance, and supports federal software pursuits. Partners with executive leadership, Growth, Operations, IT/Cyber, Product, and Finance while representing engineering to government customers.

Build and maintain scalable, high-performance backend systems. Own complex engineering projects from planning through deployment, collaborate with product and customer teams, and contribute to technical direction through coding, architecture, code reviews, and mentoring. The role suits an independent senior engineer comfortable in a fast-paced, product-focused startup environment.

Staff-level full-stack product engineer responsible for leading frontend architecture and building intuitive, maintainable user experiences in a Ruby on Rails monolith. The role involves hands-on coding, UX and interaction design, simplifying complex workflows, mentoring engineers, reviewing code, collaborating with product and design, shaping technical direction, and participating in on-call and team rotations. The position is remote-first and emphasizes pairing, rapid experimentation, customer feedback, and sustainable delivery.

Lead a small autonomous engineering team combining experienced developers with AI coding agents. Own architecture, technical direction, software implementation, delivery, quality, security, reliability, and production operations. Establish AI-assisted engineering workflows, testing and deployment guardrails, and scalable development practices. Mentor two engineers, translate business objectives into technical solutions, resolve blockers, and continuously improve engineering productivity and software quality through hands-on leadership.

Build and operate reliable backend systems for complex government and enterprise data integrations. Responsibilities include designing bidirectional integrations, asynchronous workflows, retries, idempotency, observability, operational automation, debugging production systems, and creating reusable reliability patterns. The role involves TypeScript and Node.js development, database work, partner collaboration, mentoring, and improving support efficiency in a fully remote environment.

Lead the core platform engineering team responsible for frontend and backend software supporting industrial AI inspections. Own the technical roadmap, release processes, testing gates, reliability, performance, customer feedback loop, hiring, and team development. Collaborate with product, embedded engineering, and AI/ML teams to deliver robust software for mission-critical manufacturing environments.

Owns Salesforce enterprise architecture, platform strategy, integrations, governance, data architecture, DevOps, and nonprofit technology modernization. Designs and develops solutions across NPSP, Nonprofit Cloud, Experience Cloud, Data Cloud, Agentforce, and Einstein AI. Leads architecture reviews, code quality, migrations, release management, security, platform optimization, contractor oversight, and production issue resolution. Serves as KIPP’s senior technical authority and principal Salesforce developer, translating business needs into scalable, sustainable solutions.

Lead architecture and hands-on development for cloud data optimization products and Stratusphere’s data platform. Diagnose and improve database, query, storage, networking, and workload performance across AWS, Azure, relational, analytical, search, and lakehouse systems. Build production services, integrations, testing, observability, and infrastructure automation while safely overseeing AI-assisted development. Partner with product teams, forward-deployed engineers, and customers to validate optimizations, document tradeoffs, and convert repeatable solutions into scalable platform capabilities.

Develops and tests scalable Java web applications and reusable components throughout the agile lifecycle. Responsibilities include SOAP and REST web services, unit and acceptance testing, code reviews, troubleshooting, load testing, performance tuning, continuous improvement, and sprint communication. The role requires collaboration across development and testing teams, cloud application experience, AWS, CI/CD, J2EE frameworks, and eligibility for a Public Trust clearance.