Top Remote Python Jobs

Design and maintain Anaconda’s internal package build and release platform, improving security, access control, reliability, and operational resilience. Responsibilities include writing software and architecture documentation, reviewing code, diagnosing complex issues, partnering across teams, using AI tools to reduce toil, mentoring engineers, and driving investments that reduce production risk. The role focuses on Python-based infrastructure, platform tooling, DevOps, and SRE practices in a fully remote environment.

Leads the design and development of JavaScript and TypeScript software solutions for commercial and government clients. Provides technical leadership, mentorship, code reviews, client collaboration, Agile guidance, architecture oversight, accessibility compliance, testing, and continuous improvement. Builds full-stack applications using Node.js and related frameworks while promoting secure coding, RESTful API design, and emerging technologies.

Designs, builds, tests, deploys, documents, and debugs software for core call-platform products. Improves data-system scalability and performance, develops automation tools, implements security and data protection, and contributes to Scrum-based software delivery. The role includes code reviews, production troubleshooting, stakeholder collaboration, and mentoring teammates while maintaining high standards for testing and code quality.

Designs and implements enterprise AWS solutions for contact centers, primarily using Amazon Connect and Salesforce Service Cloud Voice. Responsibilities include developing integrations, configuring cloud services, advising on technical requirements, leading development teams, conducting code reviews, troubleshooting, documenting solutions, and training users. The role requires programming proficiency, AWS architecture knowledge, infrastructure automation, CI/CD experience, and the ability to lead technical delivery with minimal direction.

Lead modernization of the company’s platform into an event-driven, agentic operating system. Set technical direction, design autonomous workflows, architect scalable cloud-native systems across Azure and AWS, orchestrate AI coding agents, establish guardrails and testing practices, partner with product and design, mentor engineers, and champion continuous delivery, DevOps, security, and maintainability.

Build and maintain full-stack applications, including responsive frontends, backend APIs, databases, authentication, security, integrations, testing, and deployment. The role involves using modern frontend frameworks, server-side technologies, relational or NoSQL databases, cloud platforms, and CI/CD pipelines. Responsibilities also include performance optimization, troubleshooting, documentation, code reviews, and collaboration with designers, product managers, and QA teams in an Agile environment.

Build and maintain full-stack applications, backend services, automations, data workflows, and internal tools. Partner with stakeholders to identify business problems, design and validate solutions, deploy production systems, measure outcomes, and iterate. Use AI-assisted development, AWS, Cloudflare, modern frameworks, relational databases, CI/CD, and observability practices while troubleshooting and improving system reliability, performance, and operational excellence.

Develops and supports Enterprise Content Management platforms, workflow automation, integrations, and content-enabled applications. Builds .NET services, APIs, automated tests, CI/CD pipelines, and infrastructure-as-code solutions. Troubleshoots application, database, and infrastructure issues; configures monitoring, alerts, and operational runbooks. Collaborates in Agile/Scrum teams with product owners, architects, and stakeholders while applying security, retention, privacy, audit, and reliability requirements.

Build and ship production software across retailer integrations, autonomous systems, internal automation, and shopper- and brand-facing applications. The intern will work end to end with engineers and founders, explore emerging tools and models, and iterate quickly in a changing startup environment. Responsibilities include maintaining retail connections, developing integrations and systems, and improving products based on real-world learning.

Leads the engineering organization for Porch’s insurance division, owning platform strategy, policy administration implementation, underwriting, billing, portals, compliance, and AI-enabled product and engineering workflows. Builds and manages distributed engineering teams, establishes execution and reliability standards, governs AI in a regulated environment, manages vendors, and partners with executives, regulators, and reinsurance stakeholders. The role requires extensive software engineering leadership, insurance platform experience, cloud architecture expertise, and familiarity with insurance compliance and Sarbanes-Oxley controls.