Top Hybrid Software Engineer Jobs

Designs and develops Angular and TypeScript applications, maintains backend APIs, manages releases, resolves bugs and security findings, monitors performance, and contributes to architecture and roadmap planning. The role partners with product and QA teams, reviews code, mentors developers, estimates work, and drives framework and dependency upgrades across the full stack.

Build and own React Native mobile applications from concept through launch in a healthcare technology startup. Drive product and platform development, collaborate with operations, clinical, compliance, and product teams, conduct user testing, and contribute to technical architecture. Develop greenfield AI-native systems, integrate backend and AI services, uphold healthcare standards, and help shape the engineering roadmap and development culture.

Design, build, test, and maintain .NET microservices, React and TypeScript front ends, and scalable eSIM generation pipelines. Collaborate with product, UX, and engineering teams to deliver secure, accessible, performant applications. Participate in architecture and code reviews, define technical requirements, troubleshoot issues, and contribute to high-quality software development in an agile environment.

Build LLM-powered automation and a scalable rule engine to autonomously fix denied claims. Design safety guardrails, observability, and QA gates; generate appeals and record packets; deliver an automations console and end-to-end integrations. Influence RCM platform architecture, mentor engineers, conduct code reviews, and operate production deployments.

Lead the technical direction and architecture of software running on SmartThings hubs. Develop and review expert-level Rust code for resource-constrained embedded systems, including concurrency, reliability, performance, and Rust/C interoperability. Lead cross-team initiatives, improve hub-to-cloud synchronization and offline recovery, establish AI-assisted development practices, mentor engineers, and support observability, incident response, and on-call operations.

Principal Engineer serving as the CTO’s technical deputy, leading day-to-day engineering execution, architecture, code reviews, developer support, and delivery. The role requires hands-on full-stack development across databases, backend, frontend, cloud infrastructure, and DevOps. It also champions AI-agent-assisted development by establishing workflows, guardrails, and quality standards. The engineer will mentor teammates, resolve technical blockers, improve reliability and documentation, and collaborate with technical, product, and research stakeholders.

Design and build scalable, resilient distributed systems across the software lifecycle. Lead architecture and design, mentor junior engineers, collaborate cross-functionally, use cloud and container orchestration, apply DevOps practices, and leverage AI to increase development efficiency and reliability.

Define Scribd’s technical vision for agentic engineering and establish architecture, patterns, and guardrails for AI-assisted software development. Lead internal developer tools, libraries, platforms, and engineering workflow improvements across codebases, CI/CD, and infrastructure. Partner with engineering leadership on ambiguous cross-organizational initiatives, mentor senior and staff engineers, and drive adoption of coding-agent capabilities throughout the organization.

Lead a small autonomous engineering team combining experienced developers with AI coding agents. Own architecture, technical direction, software implementation, delivery, quality, security, reliability, and production operations. Establish AI-assisted engineering workflows, testing and deployment guardrails, and scalable development practices. Mentor two engineers, translate business objectives into technical solutions, resolve blockers, and continuously improve engineering productivity and software quality through hands-on leadership.

Build and operate backend platform services using Kotlin and the JVM. Design APIs, data models, integrations, event-driven workflows, and AI runtime capabilities. Incrementally improve architecture, reliability, observability, security, testing, deployment, and performance while partnering with SRE. Support communications or billing workflows and provide technical leadership through architecture decisions, documentation, code reviews, and collaboration.