Top Remote Software Engineer Jobs in Boston, MA

Architects, builds, and operates resilient backend services, cloud infrastructure, automation tools, and self-service interfaces supporting MDR and incident response operations. Partners with security practitioners and engineering teams to translate operational needs into scalable solutions, establish CI/CD and observability practices, improve reliability, and integrate AI-driven workflows. The role also provides technical mentorship, leads architecture and design decisions, and drives complex initiatives through iterative delivery.

Design and evolve high-scale backend capabilities for GitLab’s container registry. Drive architecture, performance, reliability, security, APIs, testing, and operational readiness. Mentor engineers, influence technical direction, participate in incident response, and collaborate asynchronously across product, infrastructure, data, frontend, and security teams. Integrate and evaluate agentic AI systems in production engineering workflows while promoting responsible and effective use.

Develop and enhance globally scalable software using .NET, Azure, React, SQL, and RESTful APIs. Implement internationalization for currencies, numbers, time zones, calendars, pluralization, and RTL layouts. Build automated tests, improve infrastructure reliability, participate in agile ceremonies, lead code reviews, and mentor junior developers.

Develop, deploy, maintain, and support mainframe applications for insurance operations including policy administration, claims, and underwriting. Analyze requirements, design and implement code, troubleshoot issues, execute testing, document solutions, and provide production support. Lead smaller projects, communicate with stakeholders, and mentor junior analysts while serving as a subject matter expert in mainframe technologies.

The Senior Full-Stack Engineer will manage client relationships, design integration solutions, and ensure seamless delivery and optimization of technical workflows, while leveraging AI for efficiency.

Build and maintain internal AI-powered tools and automations for sales, customer success, and revenue operations. Implement features, automate lead routing and pipeline workflows, troubleshoot integrations, monitor tools, fix bugs, and evaluate AI platforms. Collaborate with nontechnical stakeholders to gather requirements and deliver reliable, documented code using APIs, scripting languages, and database systems.

Own post-sale technical deployments for enterprise customers, configuring monitors, alerts, and integrations in Snowflake and Databricks environments. Write production Python, SQL, and API integrations, drive customer adoption and measurable value, expand usage across teams and use cases, and provide feedback to Product and Engineering. Help establish the forward-deployed engineering playbook while advising data engineering teams and executives.

Lead a small, hands-on engineering team responsible for analytics infrastructure and member growth. Own technical strategy for ClickHouse-powered analytics, data visualizations, and LLM-enabled data experiences, while guiding onboarding and activation roadmaps. Write and review code, design experiments, partner with product and design, make architectural decisions, and hire, mentor, and develop engineers. The role requires strong web application experience, product judgment, communication skills, and expertise across Ruby on Rails, databases, ReactJS, and TypeScript.

Own end-to-end commercial navigation features for fleet customers across mobile, backend, and web platforms. Build reliable, tested, observable software for challenging conditions such as poor connectivity and changing routes. Collaborate with product, design, Maps, Telematics, and customer-facing teams to define priorities, success metrics, and tradeoffs. Ship and maintain customer-facing experiences, with opportunities to use React Native, Swift, Kotlin, geospatial technologies, and AI-assisted development tools.

Build Vetcove’s AI-native developer experience, including coding-agent workflows, CI/CD, testing, deployments, automations, developer infrastructure, and self-service tools. Improve engineering productivity by identifying bottlenecks, reducing manual work, introducing effective tools, and establishing reliable permissions, sandboxing, and observability. Partner with engineering leadership and teams across the company while working hands-on across Python/Django, React/TypeScript, and supporting infrastructure.