Top Software Engineer Jobs

Build core multimodal backend systems for robotics and Physical AI, including real-time WebRTC video pipelines, hardware-accelerated codecs, petabyte-scale ingestion and storage, LiDAR and telemetry processing, sensor synchronization, and high-performance React and TypeScript interfaces. Engineers may work across infrastructure, spatial data, video, frontend, and AI-native product workflows while independently solving complex technical challenges.

Build scalable full-stack applications integrating healthcare insights with browser-based and Windows EHR systems. Develop products using FHIR and HL7 interoperability standards, collaborate on technical roadmaps, and implement performant solutions. Mentor junior engineers, conduct code reviews, make technical decisions, and partner with engineering, product, and business stakeholders using Agile processes.

Designs, develops, and maintains scalable full-stack applications using modern front-end and back-end frameworks. Builds RESTful and GraphQL APIs, optimizes database access, supports CI/CD and automated testing, participates in code reviews, estimates development effort, and collaborates with product and technical stakeholders. The role also involves orchestrating AI agents across development, testing, and code review workflows while ensuring secure, reliable, production-ready solutions.

Build and scale Daymark Health’s cancer care platform across the stack. Responsibilities include developing secure infrastructure and core systems, collaborating with product, data, operations, and customers, integrating workflows, following HIPAA and SOC 2 controls, handling PHI securely, and using AI coding tools to accelerate development. The role requires contributing to technical strategy, improving user experience, and adapting quickly in a startup environment.

Build and operate reliable backend systems and APIs for high-traffic products. Responsibilities include distributed system design, data modeling, service architecture, performance tuning, automated testing, observability, incident management, and end-to-end feature delivery. The role partners with Product and Design, makes architecture decisions, mentors engineers, and applies AI-assisted development tools responsibly.

Design, build, and operate scalable full-stack ecommerce experiences, backend services, distributed systems, cloud-native infrastructure, and AI-enabled capabilities. The role includes frontend and backend development, database optimization, observability, performance tuning, production support, incident response, architecture reviews, mentoring, and technical leadership. The engineer collaborates across Product, UX, Architecture, Security, and Engineering teams while promoting secure, reliable, maintainable software practices.

Own customer outcomes from discovery through production deployment. Build decision systems using ontologies, reasoning, graph analytics, optimization, and machine learning over enterprise data. Write Python, SQL, and PyRel; debug unfamiliar systems; tune performance; harden deployments; document reusable solutions; and upstream platform improvements. Lead technical workshops and proofs of concept while partnering closely with customers, Product, and Engineering.

Build and own end-to-end features for web applications and cloud services delivering generative AI capabilities. Responsibilities include designing, specifying, developing, testing, launching, and optimizing software; collaborating with product, design, marketing, data science, and engineering teams; prototyping solutions; and establishing modern application and cloud development best practices.

Own end-to-end technical delivery for a Sales Command Center spanning web, iOS, backend, Azure, and Dynamics 365. Translate enterprise architecture into implementation decisions, govern APIs, integrations, security, resilience, and event patterns, and guide distributed senior engineers through production delivery. Lead design and code reviews, engineering standards, testing, observability, release readiness, and stakeholder collaboration across product, architecture, security, CRM, and platform teams.

Build and own foundational platform services, APIs, authentication and authorization systems, data infrastructure, and models powering Pave’s compensation platform. Design generalized solutions for cross-product needs, develop data-intensive applications and pipelines, lead complex technical initiatives across stakeholders, and deliver scalable, maintainable software in a fast-paced environment.