Top Remote Entry Level Software Engineer Jobs in Boston, MA

Design and build software for global network infrastructure, including automation, orchestration, provisioning, device lifecycle management, telemetry, validation, and remediation. Integrate DPUs, SmartNICs, and programmable network infrastructure into scalable cloud systems. Establish architecture and technical direction, write RFCs and design documents, lead complex initiatives, mentor engineers, and collaborate across network, infrastructure, hardware, security, storage, and compute teams.

Lead the design and delivery of complex distributed systems and high-impact product initiatives for Toast’s Catering & Events platform. Own critical architecture, drive technical strategy, improve scalability and reliability, mentor engineers, establish engineering best practices, and collaborate with Product and Design. The role also involves applying AI tools to improve developer productivity and enable new capabilities.

Design and implement backend APIs, microservices, and checkout platform components for Affirm’s financial products. Own system health, improve performance and reliability, collaborate across engineering teams, and contribute to technical standards, tooling, and processes. The role requires developing, testing, and shipping high-quality software at scale while making customer-centric technical decisions.

Develop and support software, automation tools, dashboards, and alarms for cloud infrastructure, cost attribution, and cloud efficiency. Collaborate with cross-functional teams and senior engineers to design reliable systems, APIs, databases, tests, and AI agents. Contribute to architecture and automation strategies while maintaining strong security, communication, and delivery practices.

Develop and integrate platform software for audio technology products using Linux, RTOS, C/C++, Python, DSP, and middleware. Support product delivery, resolve cross-component and partner integration issues, build scalable software components, and collaborate with systems, QA, and security teams. Maintain integration documentation, matrices, and progress reporting while representing software interests across teams. Experience with audio technologies, latency-sensitive systems, room correction, system integration, OEM/ODM collaboration, or consumer electronics is valuable.

Build and deploy full-stack healthcare financial products used by millions of patients. Develop AI- and ML-powered features, integrate LLMs, enhance an AI billing assistant, and create patient payment solutions. Collaborate with product, design, and partner engineering teams to deliver production-ready software. Contribute to technical planning, coordinate complex development efforts, mentor peers, and maintain high standards for testing, code quality, efficiency, and technical debt management.

Design and own secure, scalable wallet infrastructure for custody, key management, transaction signing, authorization, recovery, and multichain systems. Architect support for MPC, HSMs, secure enclaves, TEEs, smart contract wallets, account abstraction, and emerging cryptographic approaches. Define security boundaries, policy engines, secrets management, authentication, and programmable authorization while making foundational build-versus-buy decisions and guiding systems from first principles through production.

Build, test, ship, and operate production backend features with minimal guidance. Design APIs, background jobs, integrations, data models, migrations, and bounded services while maintaining security, performance, observability, and reliability. Review code, improve automated testing, investigate production issues, address technical debt, participate in operational support, and collaborate asynchronously with product, frontend, infrastructure, and security teams. Use AI coding tools responsibly by validating and correcting generated output.

Lead the technical direction of Zocdoc’s patient acquisition platform, building scalable APIs, microservices, AWS infrastructure, and React experiences. Improve SEO, page speed, system reliability, and patient-facing data access. Collaborate with Product, Design, and Marketing, integrate third-party data and Contentful, apply LLM technology, promote engineering excellence, mentor engineers, and drive AI-focused innovation across distributed teams.

As an Outcome Engineer, you will architect multi-agent systems, implement automated governance, and build evaluation frameworks to enhance AI-powered workflows.