Top Remote Senior Level Software Engineer Jobs in Boston, MA

Lead complex enterprise AI deployments and go-live support engagements, build shared tooling, maintain deployment playbooks, mentor engineers, establish quality standards, capture deployment knowledge, and partner with product and engineering teams to improve customer outcomes. The role requires hands-on software engineering, customer-facing delivery, AI feature and GenAI model integration, prompt engineering, and production-quality development.

Leads complex enterprise AI deployments and go-live engagements, owns deployment playbooks and shared tooling, mentors engineers, captures reusable deployment knowledge, establishes quality standards, and partners with product and engineering teams. The role requires hands-on software engineering, customer-facing delivery, AI and GenAI integration, prompt engineering, and executive-level communication.

Develop and operate scalable DNS control-plane software and network services. Build APIs, improve customer-facing products, troubleshoot performance and monitoring issues, and collaborate across networking teams. Responsibilities include testing, optimization, reliability improvements, architecture best practices, and supporting mission-critical cloud infrastructure using Go, Kubernetes, Docker, gRPC, Kafka, and related technologies.

Lead software engineering teams developing, integrating, deploying, and maintaining full-stack mission applications for DoD and intelligence customers. Build prototypes and high-performance user interfaces, translate operator requirements into features, integrate systems and APIs, and conduct deployment and field testing in secure operational environments. Collaborate with customers and technical teams while ensuring reliability, quality, and performance.

Build and improve end-to-end web and mobile product features for MedTech sales teams. Collaborate with customers, product managers, designers, and engineers; use data to optimize performance and identify enhancements; explore scalable technologies; contribute to engineering processes and culture; and mentor developing engineers. The role emphasizes full-stack development across multiple technologies and agentic AI development practices.

Leads multiple engineering teams, owning software delivery, SDLC quality, people management, strategic alignment, resource planning, incident governance, and team development. Partners with Product and business stakeholders on prioritization, estimation, communication, execution, and performance metrics. The role requires experience with large-scale, low-latency distributed systems, agile delivery, DevOps, CI/CD, automated testing, infrastructure as code, distributed teams, and scalable data technologies.

Lead and manage software engineering teams: run agile processes, design and ship secure scalable APIs and services, guide architecture, manage technical debt, recruit and mentor engineers, and align work with company objectives.

Deploy and integrate Shield AIs Hivemind autonomy software with customers worldwide. Provide on-site technical support, training, debugging, and documentation. Collaborate with sales and product engineering to support pre- and post-sales activities and improve autonomy products.

Full Stack Engineers will design, develop and implement features for a SaaS product using React, Typescript, Django, and Python, collaborating within an agile team.

As a Lead Software Engineer, you'll develop cloud-based applications using React and Node.js, mentor engineers, and improve processes.

Lead the design, development, and delivery of scalable payroll onboarding software. Drive technically complex initiatives, influence architecture and roadmaps, collaborate across product, design, and engineering, improve reliability, promote coding best practices, mentor engineers, and use AI tools to enhance development productivity.

Build and ship production software for Toast’s retail platform, partnering with engineering, product, and customers. Responsibilities include identifying opportunities, designing and prototyping end-to-end solutions, making foundational technical decisions, incorporating customer feedback, tracking industry trends, and deploying AI-powered experiences. The role supports large grocery and convenience-store customers and may involve visiting stores to understand operator workflows.