Top Software Engineer Jobs

Build and operate software and AI tools supporting research into fault-tolerant neutral atom quantum computing architectures. Collaborate closely with a tight-knit team to design and develop systems for the company’s quantum computer. Prior quantum computing experience is not required, and candidates at all experience levels are welcome.

Leads API and Model Context Protocol platform strategy and delivery for an AI-native, agent-driven platform. Designs semantic, agent-ready APIs, context-aware services, discovery patterns, governance standards, and reusable frameworks. Partners with Architecture, AI, Data, Platform, product, engineering teams, and vendors to establish scalable cloud-native systems, mentor engineers, and drive adoption of API and MCP standards.

Build and operate scalable AI platform infrastructure enabling secure, reliable access to foundation models and AI agents. Responsibilities include developing model gateways, provider integrations, routing, usage controls, observability, governance, and self-service platform capabilities. The role involves architecting distributed systems, improving reliability and security, collaborating across engineering and product teams, mentoring engineers, and establishing high-quality engineering practices.

Leads a team developing and modernizing custom applications, workflow automations, integrations, and internal collaboration platforms. Owns architecture, engineering standards, security, code review, CI/CD, application migration decisions, AI-assisted development practices, prioritization, vendor technology evaluations, and team development. The role requires hands-on software expertise while translating business needs for administrative and enterprise stakeholders. It also oversees migration to new cloud and collaboration platforms and determines when to build, buy, replace, or retire solutions.

Design, build, and operate scalable backend systems for Vay’s real-time mobility platform. Own solutions end to end, shape architecture, solve distributed-systems challenges, and improve reliability, performance, testing, and maintainability. Collaborate with infrastructure, embedded software, mobile, and product teams to connect vehicles, remote drivers, customers, and operational systems.

Lead a small engineering team building scalable backend services for booking, payments, financing, and financial reporting products. Design architecture, write code, ensure security and privacy compliance, define APIs and data contracts, mentor engineers, and collaborate with product, operations, and finance. The role involves Node.js, TypeScript, SQL, cloud infrastructure, distributed systems, experimentation, and marketplace engineering in a hybrid NYC environment.

Build and operate production software across backend services, frontend features, data pipelines, integrations, and infrastructure for a cybersecurity platform. Own features end to end, write secure and tested code, resolve production issues, participate in on-call support, improve observability and reliability, and contribute to architecture, code reviews, and planning. The role requires strong Go or Node.js experience, PostgreSQL knowledge, infrastructure familiarity, and sound technical judgment.

Architect and deliver complex distributed systems using Azure cloud-native technologies, microservices, APIs, and event-driven patterns. Lead architecture reviews, reliability initiatives, performance optimization, incident response, and root-cause analysis. Drive adoption of AI-assisted development tools while maintaining security and code quality. Collaborate across engineering, DevOps, QA, and product teams, and mentor engineers on technical design, development practices, and AI-enabled workflows.

Develop and implement the MDAT system using Java, Python, and AWS services. Build automated functional and systems-level tests, collaborate with systems engineers within an agile development process, and prototype solutions in the AWS cloud. The role requires seven years of comparable software engineering experience, a bachelor’s degree or equivalent substituted experience, U.S. citizenship, and TS/SCI clearance with polygraph.

Designs and owns cloud-native architecture for Wellbase, a healthcare managed-services platform. Leads agentic AI and MCP integrations, policy and governance services, data-store architecture, security controls, and reliable demo and staging environments. Remains hands-on through implementation, mentors a small team, reviews designs and code, applies cloud, Kubernetes, CI/CD, and observability practices, and communicates architecture decisions to executives. Requires strong enterprise software development experience, AI solution experience, and familiarity with regulated data.