Top Remote Software Engineer Jobs

Design, implement, test, document, and maintain software applications. Write clean, scalable code, use version control, collaborate with stakeholders, and manage databases and Agile workflows.

Manage configuration and release management for NAWCWD programs: serve as government liaison, support program/project execution, define and roll out releases, build and integrate application modules, maintain technical documentation, and measure progress to ensure timely, compliant deliveries.

Work across the full stack on Higharcs Estimate product: optimize queries, build React UI components and frontend state, write e2e tests, integrate external APIs, and occasionally work with CAD/geometry. Own projects end-to-end, maintain code quality through tests and reviews, and collaborate cross-functionally to deliver high-impact features.

Lead a 5-8 person full-stack growth engineering team to accelerate acquisition, activation, retention, and revenue via data-driven experiments, technical optimization, and engineering best practices. Own delivery, metrics, roadmap alignment, agile planning, quality improvements, and people development including hiring and mentoring.

The Solution Engineer will design and implement data quality solutions, work directly with customers, and optimize integrations within their data ecosystems, utilizing Python and modern tools while communicating technical concepts effectively.

The Senior Software Engineer will develop backend APIs, improve engineering processes, and manage product features in a remote-first environment.

The role involves leading initiatives for vector search in Elasticsearch, enhancing features, resolving bugs, and contributing to community engagements in a distributed team setting. A strong background in vector similarity and Java is crucial.

The Senior Backend Engineer will maintain a PHP-based payment platform, migrate to Rust, troubleshoot production systems, and contribute to code quality and deployment cycles.

Develop data pipelines and AI systems to process data from multiple sources. Focus on simplicity, reliability, and maximizing sales efficiency while shipping features regularly.

Lead the architecture and development of Azure-based IoT cloud solutions, ensuring scalability, reliability, and security. Mentor engineers and optimize cloud platform performance while collaborating across teams.