Top Remote Senior Level Software Engineer Jobs in Boston, MA

Leads the engineering team building Circle’s customer onboarding and lifecycle management platform. Responsibilities include developing scalable onboarding automation, customer lifecycle capabilities, partner-facing APIs and SDKs, compliance tools, and product-specific verification workflows. The role owns architecture, reliability, security, operational excellence, cross-functional delivery, hiring, coaching, and development of senior and staff engineers across risk, compliance, fraud, product, and engineering teams.

Build and lead high-performance distributed control plane services for cloud compute infrastructure using Go. Design scalable microservices with gRPC and REST, solve distributed-systems and operational challenges, mentor engineers, lead technical projects, improve architecture and build pipelines, and participate in on-call support and production monitoring.

Build and lead end-to-end web and mobile product features for a MedTech sales platform. Collaborate with customers, product managers, designers, and engineers; use data to improve performance and identify product opportunities; introduce scalable technologies; mentor engineers; and develop AI-enabled experiences using agentic tools. The role requires full-stack proficiency across modern JavaScript and Python technologies, relational databases, GraphQL, and cloud services.

Owns the full lifecycle of operational software products, from concept through production. Builds and tests reliable, user-focused features; scales prototypes; triages issues and identifies root causes; and partners with product teams, mission engineers, architects, and end users to deliver effective solutions. The role requires strong React, TypeScript, and Python skills, performance optimization experience, and collaboration across technical and non-technical stakeholders.

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.

Build and ship a full-stack data collection and search platform for defense and intelligence users. Develop frontend, backend, data ingestion, storage, indexing, APIs, and agentic AI capabilities using TypeScript, React, Tailwind, Node.js, PostgreSQL, and AWS. Partner with mission owners, customers, designers, and engineers to translate intelligence workflows into intuitive, mission-ready products supporting information analysis and visualization.

Build and ship custom full-stack programs for AI labs and product teams, including capture flows, task logic, data pipelines, validation, redaction, provenance, and delivery across web, mobile, and backend systems. Partner directly with technical customers to scope ambiguous requirements, determine what to reuse or build, ship production code, establish data quality processes, and turn repeatable custom solutions into core platform capabilities.

Lead technical analysis and design of healthcare interoperability solutions, defining data exchanges and integration workflows (APIs, HL7, X12, SFTP). Conduct client discovery, produce mappings and interface specs, investigate failures, develop tests, manage multiple implementations, support launches and steady-state operations, and mentor junior analysts.

Leads technology strategy, engineering, delivery, modernization, governance, and financial planning across financial-services platforms. Oversees teams, vendors, roadmaps, risks, dependencies, Agile delivery, engineering excellence, and technology operating models. Partners with Product, Operations, Risk, Legal, and Compliance to deliver business and member outcomes while modernizing legacy systems through cloud, APIs, SaaS, automation, and modern architecture.

Build and optimize growth systems that increase patient bookings and engagement. Design experiments across messaging, outreach, and in-product booking flows; develop backend systems for experimentation and activation; monitor funnel metrics; analyze drop-offs; prioritize growth opportunities; and collaborate with product, design, data, and operations teams. The role emphasizes rapid experimentation, product-led growth, and measurable improvements in activation, conversion, retention, and booking.