Top Remote Software Engineer Jobs

Build scalable simulation and planning systems for complex communications networks. Model hypothetical scenarios, allow users to vary configurations and assumptions, evaluate impacts, compare tradeoffs, identify risks, and integrate simulation capabilities into broader product workflows. The role involves full-stack engineering across design, development, testing, and operations, with emphasis on distributed systems, algorithms, network modeling, and computational reliability.

Build and maintain Rocket Money’s Autopilot banking and investment systems. Responsibilities include developing React interfaces and Node.js/GraphQL backends, making architecture decisions, collaborating with stakeholders, managing vendor integrations, improving observability and performance, and owning the technology lifecycle from planning through production maintenance.

Develop and scale cloud-based media encoding pipelines supporting workflow orchestration, metadata publishing, task prioritization, and catalog management. Design distributed systems, write high-quality Java code, build automated tests, collaborate cross-functionally, and own projects from conception through production. The role supports streaming, advertising, broadcast television, video podcasts, and other media experiences.

Design, build, and maintain highly available APIs and distributed services supporting millions of customers. Manage and optimize AWS cloud infrastructure using Infrastructure as Code, CI/CD, containers, and automation. Improve system performance, reliability, and security; monitor and troubleshoot production issues; apply AI-enabled tools; and collaborate across engineering teams to deliver resilient, customer-focused solutions.

Own end-to-end product features for a SaaS platform serving HR, therapists, and employees. Build, scale, and evolve frontend and backend components, lead architecture and standards, collaborate with design and product, and incorporate customer feedback and QA. Work in an early-stage startup environment with product-focused ownership.

Develop production software for maritime route optimization, vessel performance and fuel-consumption modeling, voyage analysis, simulation, and route evaluation. Build and improve optimization algorithms, APIs, services, testing, and explainable recommendation systems using Rust and Python. Collaborate with engineers, product experts, and maritime specialists to translate complex physical and mathematical problems into maintainable software supporting U.S. Government and defense customers.

Refine, stabilize, and enhance a Google Docs add-on including Apps Script refactoring, OAuth2 and REST API integration, retry and sync logic, UI improvements, end-to-end testing, and preparing the add-on for Google Workspace Marketplace publication and security review.

Build and operate AI agent systems with customer engineering teams, helping move prototypes into reliable production systems. Design agents, improve evaluations, monitoring, scaling, and reliability, and train customers on the Mastra framework. Translate recurring customer challenges into open-source framework improvements, fix performance issues, ship new primitives, improve code quality, and influence the product roadmap through production insights.

Leads the discovery, architecture, development, deployment, support, and optimization of workflow automation and AI-enabled solutions. Partners with operations leaders to improve processes, define requirements, integrate systems, and deliver scalable RPA, low-code, API, document-processing, and approved AI solutions. Provides technical leadership, ensures security and governance compliance, supports adoption, and measures business outcomes. This hands-on role does not involve machine learning model development or advanced predictive analytics.

Build API-first backend services for workflow orchestration, data ingestion, evaluation, and results management, along with analyst-facing web consoles. Implement identity federation, authentication, authorization, relational data models, automated testing, and CI pipelines. Create API documentation, SDK examples, reference implementations, notebooks, and integration resources. Collaborate with security, infrastructure, platform, and ML engineers while supporting external partners and Government users integrating with published interfaces.