Top Remote Python Jobs

Leads engineering within a product domain, driving large-scale strategic initiatives across multiple teams. Establishes technical standards, architecture, and scalable best practices; aligns engineering, product, data science, and business stakeholders; guides roadmaps and resource allocation; communicates with executives; and coaches engineering leaders and senior individual contributors.

Remote C development internship focused on reviewing and validating systems-code patches, handling backports, researching CVEs, fixing security issues, building RPM and DEB packages, and supporting code reviews. The role requires Linux, C, Git, shell scripting, algorithms, data structures, and critical use of AI coding assistants. RPM/DEB packaging, CVE research, GDB, and strace experience are preferred.

Build and lead the identity graph platform powering real-time fraud prevention. Responsibilities include defining graph schemas and ontologies, developing entity-resolution systems, designing batch and streaming pipelines, building low-latency APIs and serving systems, supporting ML and graph analytics, improving performance and reliability, leading architecture, mentoring engineers, and embedding privacy and security into production systems.

Build and evolve scalable backend systems and APIs for a large SaaS platform. Partner with Product, Design, and QA from ideation through deployment, contribute to microservices architecture, improve testing and observability, identify operational risks, and mentor teammates. The role emphasizes reliable, maintainable solutions, strong collaboration, architectural decision-making, and continuous improvement.

Lead and mentor software engineering teams across multiple product pods. Provide technical direction, oversee production services and operational readiness, manage on-call and incident response, support hiring and career development, and drive cross-functional planning and delivery. The role requires strong people-management experience, technical judgment, production-service expertise, and the ability to work asynchronously in a distributed startup environment.

Develop and support Guidewire insurance solutions for clients in India. The role focuses on Guidewire PolicyCenter, InsuranceNow, and Guidewire Rating, and requires at least eight years of relevant experience. This is a full-time remote consulting position.

Develop and enhance Salesforce and related technology systems by analyzing business requirements, designing solutions, automating processes, and supporting implementation and maintenance. The role collaborates with internal teams, manages technical projects and vendors, supports integrations and databases, troubleshoots systems, prepares documentation, and translates technical information for nontechnical stakeholders. It is remote with occasional travel and may require work outside normal hours.

Deploys, integrates, hardens, and operates modular C-UAS data and software platforms in secure DoD environments. Builds data pipelines across classification boundaries and disconnected conditions, integrates mission systems, manages Kubernetes-based infrastructure, supports accreditation, and handles observability, incident response, upgrades, and backup recovery. The role also documents solutions, trains mission teams, represents field needs to engineering, and mentors junior forward-deployed data engineers. Most work is remote with occasional travel to restricted environments and SCIFs.

Leads customer-facing delivery of production-grade data and AI solutions for government clients. Owns architecture, design, implementation, deployment, and integration of data pipelines, distributed systems, ML/AI models, and applications using Databricks. Guides customers, collaborates with engineering and product teams, delivers technical projects, resolves implementation issues, and creates reusable frameworks. The role requires enterprise stakeholder management, customer immersion, technical training, documentation, and 25% travel to client sites.

Deploys Camunda ProcessOS workflows for enterprise customers, builds custom AI agents and legacy-system connectors, debugs distributed integrations, and configures cloud and local clusters. The role drives customer adoption, documents deployment best practices, contributes production fixes and reusable patterns to the product, and trains customer teams for independent operation. It requires practical production AI experience, strong technical debugging skills, stakeholder communication, and comfort working without an established playbook.