Top Software Engineer Jobs

Design, prototype, and productionize AI-powered systems for legacy application modernization. Build AI-driven features end to end, establish engineering standards for testing and reliability, translate ambiguous problems into working systems, and guide architecture and technical direction alongside the CTO. Collaborate with subject matter experts and enterprise customers across critical infrastructure industries.

Own major components of Truveta’s normalization platform, designing and scaling reliable, secure, cloud-native backend services. Build distributed systems, data pipelines, APIs, and multi-tenant services using modern cloud platforms. Balance privacy, security, and reliability while mentoring junior engineers, guiding workstreams, and evolving platform architecture for growing healthcare data volumes and sources.

Own the frontend architecture and production delivery of a multi-brand consumer platform built with React, Next.js, and TypeScript. Responsibilities include creating a configurable multi-brand system, owning a design system and component library, converting AI-built prototypes into production features, using AI coding agents, and ensuring high UI quality, performance, accessibility, and Core Web Vitals. The role requires autonomous end-to-end ownership and daily production coding.

Design and optimize compiler infrastructure, intermediate representations, optimization passes, and code generation for quantum software. Maintain a Python DSL, develop high-performance Python and C++ systems, collaborate with researchers to productionize experimental algorithms, and validate compiler outputs on quantum hardware. The role also influences technical direction, mentors engineers, and promotes engineering best practices.

Work directly with customers through technical evaluations, implementation, production, and ongoing support. Lead customer calls, pairing sessions, and technical deep dives; build integrations, debug APIs and production systems, and ship full-stack product improvements. Translate customer needs into lasting product solutions, communicate clearly, manage multiple priorities, and influence the product roadmap through customer feedback.

Build and maintain Zuora’s shared React and TypeScript component library, design system, and developer tooling. Develop accessible, tested, reusable UI components and customer-facing product features; collaborate with Design and product teams; support Storybook documentation, visual regression testing, releases, and adoption. Create AI-assisted development workflows, review code, improve developer experience, mentor engineers, and uphold quality, performance, and accessibility standards across globally distributed teams.

Full‑stack engineer role building AI-powered RCM automation, modern EHR features (AI scribes, intake automation, analytics), and data pipelines for claims and clinical records. Work spans backend, frontend, and data processing to deliver production AI systems for behavioral health.

Operate and maintain a disconnected C3 AI Platform deployment at a secure government facility. Responsibilities include monitoring system health, responding to incidents, troubleshooting Linux and Kubernetes environments, performing offline upgrades and patches, automating operations, creating runbooks, supporting customer applications, and translating customer needs into technical enhancements. The role requires customer-facing communication, on-site work, U.S. citizenship, and an active Secret clearance.

Build and deploy AI, data, and software solutions for life sciences customers. Responsibilities include architecting implementations, developing data pipelines and automation, troubleshooting infrastructure and applications, leading customer discovery and training, supporting production adoption, and translating deployment insights into product improvements. The role requires production Python and SQL experience, scientific or clinical fluency, strong customer communication, autonomous execution, and approximately 10% travel.

Leads platform engineering across learner and enterprise products, setting architecture direction, integrating AI and data capabilities, managing engineering managers and teams, and improving quality, reliability, security, accessibility, and delivery. Partners with product, design, IT, cloud operations, sales, and executives on strategy, planning, budgets, and enterprise SaaS outcomes.