Top Software Engineer Jobs

Own AssemblyAI’s go-to-market technology stack, including Salesforce, enrichment, outbound automation, routing, scoring, and AI agents. Build production automations, integrations, internal tools, and AI workflows for prospecting, research, personalization, and lead scoring. Convert product usage data into actionable sales signals, automate account targeting, maintain clean funnel data, and partner with Sales and Marketing leadership to improve pipeline and revenue operations.

Design, implement, test, and maintain medical imaging software across desktop WPF/WinForms applications and web components. Develop clean C# and .NET code, collaborate in Agile/Scrum teams, participate in code and design reviews, engage stakeholders, document solutions, maintain unit tests, and proactively address technical risks. The role supports PACS products and requires awareness of healthcare data privacy requirements.

Build and scale high-performance React web applications and React Native mobile apps for real-time logistics operations. Lead frontend architecture, technical design, end-to-end project delivery, reliability and performance improvements, incident response, and debugging. Collaborate with backend and operations teams, make architectural decisions, improve scalability, and mentor engineers.

Build ALSO’s operating systems for vehicle production and delivery, integrating manufacturing, supply chain, quality, inventory, transportation, warehouse, and finance data. Develop planning, visibility, supplier, traceability, and fulfillment systems; rapidly prototype and automate processes using coding agents. Define data models and decision logic, validate outputs with tests and evaluations, simplify workflows, and embed with process owners so they can maintain and improve the systems.

Lead and scale the engineering organization from 10 to 30 employees. Own hiring, management, onboarding, culture, delivery, technical direction, architecture, quality, reliability, and engineering standards. Partner with Product, Design, Compliance, Security, Sales, and Operations to ship compliant, secure, reliable systems. Coach engineers, develop leaders, maintain accountability, and contribute hands-on when needed in a high-stakes regulated environment.

Own product features end to end across frontend, backend services, and infrastructure. Work directly with users and internal teams to identify problems, operate and improve production systems, collaborate with design, measure post-launch outcomes, and use AI coding tools to accelerate development. Build prototypes and production workflows using AI, while maintaining strong standards for correctness, reliability, performance, and maintainability.

Build and maintain quantum computer management systems, controls infrastructure, and calibration services. Own mission-critical software, collaborate with physicists and hardware engineers, and develop scalable, efficient systems. Responsibilities include debugging, troubleshooting, designing cloud-native microservices and event-driven architectures, working with scientific instrument data, and supporting system performance and operations.

Design, develop, test, deploy, and maintain secure enterprise web applications for a federal client. Build APIs, microservices, integrations, and cloud-native solutions; modernize legacy systems; implement automated testing, CI/CD, DevSecOps, and secure coding practices; troubleshoot production issues; document technical solutions; and participate in Agile ceremonies. Senior candidates provide technical leadership, mentorship, and architecture input.

Lead technical direction across multiple products and platforms while building shared AI, data, quality, and testing infrastructure. Define standards for AI-generated code, MCP integrations, responsible AI, security, and cloud-native modernization. Architect evaluation frameworks, regression systems, guardrails, and automated quality gates. Make build-versus-buy and high-stakes architectural decisions, establish operating rhythms and release criteria, mentor senior engineers, and communicate complex technical concepts to executives and partners.

Lead engineering execution and technical direction while remaining approximately 75% hands-on. Responsibilities include developing LLM- and AI-powered products, coding, code review, debugging, platform performance, sprint planning, cross-functional coordination, technical mentorship, recruiting, and supporting engineers’ growth. The role partners closely with founders and product teams and offers a path toward Engineering Manager responsibilities.