Top Remote Software Engineer Jobs in Boston, MA

Build the core AI platform for an AI-native trading experience. Develop a high-performance Rust backend supporting streaming responses, low-latency tool execution, caching, and model orchestration. Design secure, observable APIs and runtime components with authentication, authorization, rate limiting, auditing, tracing, retries, and fallbacks. Build safe trading action infrastructure with deterministic previews, confirmations, idempotency, and audit logs while partnering with product and frontend teams.

Leads Deepgram’s GTM Engineering function, owning CRM, CPQ, forecasting, billing, data, integrations, automation, and internal tooling. Translates commercial needs into scalable systems and AI-powered workflows, establishes engineering standards, connects usage and revenue data, and partners with Product, Engineering, Finance, and Data teams. This player-coach role designs, codes, tests, ships production systems, and develops a small team while prioritizing automation and operational leverage.

Own and deliver highly available, low-latency backend identity systems supporting consumer onboarding, authentication, and verification. Lead quarterly team goals, guide engineers through ambiguous problems, collaborate with product and design partners, monitor system reliability, improve engineering standards, support on-call operations, and mentor team members. The role requires designing and launching distributed systems at scale using Python or Kotlin, AWS, MySQL, and Kubernetes.

Own the implementation, hardening, and polish of game AI behaviors and systems for shipping. Collaborate with design, animation, and other disciplines to tune AI features and support the creative vision. Ensure reliable, stable enemy behaviors and enhance existing architecture. The role requires deep Unreal Engine and modern game AI experience, strong C++ skills, animation systems knowledge, and at least one shipped game title focused primarily on AI.

Lead the mobile engineering team in evolving iOS and Android applications toward an AI-native, thin-client architecture. Define participant API and platform direction, contribute Python to backend services, establish AI-assisted development processes, improve DevOps and continuous delivery, mentor engineers, and partner closely with Product and Design. The role requires principal-level technical leadership, product focus, system architecture expertise, and hands-on use of AI coding agents.

Leads technical strategy, architecture, and engineering execution across Atlassian’s Rovo Chat, Search, Growth, Apps, and Clients experiences. The role drives scalable AI foundations, Search and Chat convergence, personalization, experimentation, reliability, security, and operational excellence. It involves leading cross-organizational initiatives, partnering with product, design, data science, and machine learning teams, mentoring senior engineers, and shaping multi-year technical roadmaps for customer-facing applications.

Build a high-performance frontend data platform for exploring and analyzing hardware telemetry. Develop React and TypeScript applications, interactive time-series visualizations, data visualization plugins, complex application state management, and LLM-assisted analysis workflows. Collaborate directly with hardware engineers and customers to define interfaces, prototype workflows, demonstrate features, and incorporate feedback into product development.

Leads a high-performing software engineering team responsible for customer activation, engagement, and expansion across a travel marketplace. Oversees end-to-end project delivery, promotes AI-driven engineering practices, improves agile processes, and partners with product, data, and design. Drives experimentation, scalability, security, technical excellence, and customer-focused product adoption while developing team talent and aligning engineering priorities with business goals.

Build Apollo’s AI-powered Builder Studio end to end, including chat-driven app creation, live previews, generated-app runtimes, workflows, integrations, delegated permissions, security, and reliability. The role requires strong full-stack development, production LLM experience, frontend expertise with complex UIs, backend and workflow design, and ownership of an ambiguous 0-to-1 product.

Deploy production software alongside military operators in restricted and air-gapped environments. Integrate core and simulation platforms with partner C2 systems and databases, write scripts, transform schemas, debug distributed systems, analyze logs, isolate failures, and convert recurring field workarounds into reusable product capabilities. Brief engineers and senior military stakeholders while translating mission needs into technical solutions.