Top Software Engineer Jobs

Build and maintain scalable, mission-critical e-commerce web systems for clients. Develop primarily Scala-based services using Play and Spring, work with PostgreSQL and distributed messaging systems, and operate applications in Google Cloud Platform. Collaborate remotely through GitHub and Slack, contribute to security and scalability improvements, and support teammates through knowledge sharing. Front-end familiarity with React, Redux, jQuery, HTML, CSS, JSON, and REST is expected.

Serve as the technical lead for an Agile product team, defining and evolving scalable, secure product architecture. Design and implement cloud-native, microservices-based enterprise solutions; guide development, integration, testing, deployment, and modernization. Collaborate with stakeholders to translate business needs into technical solutions, lead architecture and code reviews, address security and performance risks, create roadmaps and documentation, and mentor developers and testers.

Build and ship end-to-end features across Vue.js and TypeScript interfaces, C#/.NET APIs, and PostgreSQL schemas. Work autonomously within a cross-functional squad to develop client and admin portals, improve scalability, ensure security and quality, and deliver production-ready software. Use AI coding agents such as Claude Code, Cursor, and Codex as a core development workflow, evaluate emerging tools, and help establish repeatable AI-assisted engineering practices.

Lead delivery across product, engineering, and QA for a distributed parking technology platform. Remain hands-on while improving system reliability, API architecture, integrations, CI/CD, testing, observability, and event-driven infrastructure. Partner with the AI team, sequence the roadmap, manage tradeoffs, and hire and develop engineers. Own production quality, incident response, scalability, and the evolution of partner-facing APIs serving booking channels and access-control systems.

Leads and develops a software engineering team while overseeing application support, system reliability, technical guidance, process improvement, incident management, documentation, audit readiness, and business continuity. Partners with business and technology stakeholders to prioritize improvements, manage resources, strengthen service levels, and deliver technology solutions aligned with organizational needs.

Join Tabs’ Frontend Platform team to build a scalable design system and component library. Lead full-lifecycle software development, design reliable systems, improve internal and external user experiences, contribute feature ideas, and help shape the engineering organization in an early-stage startup.

Build and maintain complex backend APIs and system integrations using Python and TypeScript. The role requires 10+ years of backend engineering experience and collaboration with a U.S.-based team for at least 2–4 overlapping hours. Dental practice management system or healthcare integration experience is strongly preferred. Experience with GraphQL, Hasura, PostgreSQL, GCP, or AWS is valuable.

Build the user-facing software platform for a programmable Virtual Cell, including scalable backend services, APIs, distributed systems, biological simulations, experiment workflows, and multimodal data processing. Integrate AI and machine learning inference into reliable scientific products, improve platform performance and reliability, and collaborate with engineering, research, and scientific product teams.

Design, build, and maintain systems-level Rust software for an AI-powered autonomous drone platform. Integrate AI/ML pipelines, develop networking and protocol components, support autonomy features, and create reliable software for resource-constrained, low-latency environments. Develop and test through simulation while collaborating with ML engineers and contributing across application and systems layers.

Design, build, and operate scalable software, cloud services, IoT workflows, microservices, and device software for digital dentistry and 3D printing. Own features end to end from requirements through observability, improve reliability, performance, and cost, and collaborate with technical leaders, product managers, and global engineering teams. Integrate AI and algorithms across native applications and cloud systems while maintaining strong standards for scalability, testability, documentation, and operational excellence.