Top Remote Python Jobs

Leads marketing technology architecture, integrations, platform governance, and technical enablement. Designs cloud-native, API-driven solutions across Adobe, Salesforce, CDP, CRM, analytics, and AI platforms; oversees data models, identity resolution, observability, security, and operational health. Manages roadmap prioritization, budgets, vendors, implementations, and a technical team. Establishes AI governance and enables responsible use of generative, predictive, and agentic capabilities across marketing and customer engagement workflows.

Leads cross-cutting engineering initiatives across eight product squads, including platform modernization, authentication, dependency health, and security. Manages and grows Staff Engineers, prioritizes shared technical work, evaluates tradeoffs, and influences R&D planning. Owns Ellevation’s security practice and relationship with the parent company’s central security organization, coordinating compliance, incident response, scanning, remediation, reporting, and security KPIs. Requires strong software engineering leadership, modern web and cloud expertise, security experience, and executive communication skills.

Build and ship a full-stack data collection and search platform for defense and intelligence users. Develop frontend, backend, data ingestion, storage, indexing, APIs, and agentic AI capabilities using TypeScript, React, Tailwind, Node.js, PostgreSQL, and AWS. Partner with mission owners, customers, designers, and engineers to translate intelligence workflows into intuitive, mission-ready products supporting information analysis and visualization.

Build and ship custom full-stack programs for AI labs and product teams, including capture flows, task logic, data pipelines, validation, redaction, provenance, and delivery across web, mobile, and backend systems. Partner directly with technical customers to scope ambiguous requirements, determine what to reuse or build, ship production code, establish data quality processes, and turn repeatable custom solutions into core platform capabilities.

Build and optimize growth systems that increase patient bookings and engagement. Design experiments across messaging, outreach, and in-product booking flows; develop backend systems for experimentation and activation; monitor funnel metrics; analyze drop-offs; prioritize growth opportunities; and collaborate with product, design, data, and operations teams. The role emphasizes rapid experimentation, product-led growth, and measurable improvements in activation, conversion, retention, and booking.

Implements B2B EDI and integration solutions for enterprise clients. Responsibilities include analyzing data and business processes, designing mappings, configuring and deploying customer solutions, explaining architecture, supporting project delivery, and collaborating across teams. The role develops expertise in Cleo Integration Suite, APIs, communication protocols, ERP integrations, automation, and AI-assisted implementation documentation and coding.

Leads software engineering for mainframe applications within an agile banking technology team. Responsibilities include designing, developing, testing, debugging, and reviewing secure production code; adopting AI-assisted engineering practices; improving application stability; evaluating architectures and vendors; modernizing mainframe systems toward cloud-native technologies; and mentoring software engineers. The role requires extensive COBOL-based mainframe experience, architectural expertise, cloud-native knowledge, and leadership across software development and operational stability.

Develop and maintain CrowdStrike’s macOS endpoint security sensor using C/C++ and Swift. Design high-performance, reliable software across operating-system subsystems including filesystems, memory, processes, and networking. Own features from design through delivery, collaborate with distributed teams, troubleshoot customer-reported issues, and contribute to major product releases. The role requires strong concurrency, performance, and low-level systems expertise, plus effective use of AI technologies to improve workflows and decision-making.

Build and operate high-throughput backend services for AI agents, calendar, scheduling, integrations, real-time data pipelines, and APIs. Design platform infrastructure, event-driven systems, and client-server protocols using Go, PostgreSQL, Kubernetes, and cloud platforms. Collaborate with AI, product, and frontend teams, improve reliability through testing and infrastructure as code, and mentor junior engineers.

Leads Geospatial Pipeline Engineering and DevOps teams, managing people, Agile workflows, resource allocation, cross-team priorities, and on-time delivery of geospatial AI features. Partners with engineering leaders to align product requirements, architecture, technical vision, and delivery schedules while supporting team development and professional success.