Top Remote Entry Level Software Engineer Jobs in Boston, MA

Build and ship React and TypeScript interfaces for a Chrome extension and web apps, partnering on UI/UX, accessibility, performance, data models, APIs, and AI-generated scaffold quality. Contribute to Node.js and MongoDB systems, expand compatibility across educational platforms and documents, and support privacy, security, reliability, and product decisions on a small startup team.

Build production-grade automation workflows, integrations, custom nodes, and reusable patterns for strategic enterprise deployments. Embed with customers during focused on-site engagements, translate ambiguous business problems into practical technical solutions, and collaborate with Deployment Strategists, Product, and Engineering. Capture customer feedback for product improvements, create internal playbooks, and deliver scalable solutions that customers can operate independently. The role requires frequent travel, strong engineering and integration skills, customer-facing confidence, and sound technical judgment.

Design, develop, secure, modernize, and support scalable omnichannel APIs for customer-facing web, mobile, contact center, partner, and enterprise applications. Improve API security, resiliency, performance, observability, testing, and reliability. Collaborate with architecture, security, cloud, product, operations, and engineering teams; lead technical delivery, mentor engineers, develop reusable patterns, and provide Tier 3 production support. Apply AI-assisted engineering practices and contribute to API lifecycle management and continuous improvement.

Leads and coaches a software engineering team, supports career development, participates in hiring, removes delivery roadblocks, and shapes technical direction. The manager ensures reliable, high-performing systems while driving daily adoption of agentic AI tools and collaborating with Product and Business Technology stakeholders. The role requires a strong full-stack engineering background, architectural expertise, experience delivering quality software, and demonstrated success leading AI adoption.

Build and maintain frontend-leaning, full-stack Creative and Studio products using React and Next.js. Develop AI interfaces, UX/UI workflows, proof-of-concept products, integrations, and end-to-end features. Collaborate with Design, Engineering, Growth, and Sales; iterate based on user feedback; maintain scalable, secure infrastructure; process large datasets; and mentor less experienced engineers. The role emphasizes strong portfolio work and demonstrated software engineering ability rather than formal degrees or certifications.

Design and build complex customer-facing product features, own technical decisions, contribute to architecture and technical direction, uphold code quality, mentor engineers, and support production incidents. The role collaborates closely with Product and Design across a modern web stack including React, TypeScript, Node.js, .NET, relational databases, and Microsoft Azure.

Develop and maintain backend services and APIs for Twilio’s communications platform. Responsibilities include designing, deploying, operating, and reviewing software, supporting production operations and on-call rotations, collaborating with a small engineering team, and writing technical documentation. The role requires Go or Java experience and values familiarity with DynamoDB, AWS, Docker, Kubernetes, and Temporal.

Design and scale a feature flagging and A/B testing platform, including high-throughput event ingestion, warehouse-native analytics, real-time feature flag delivery, multi-database SQL support, and distributed systems infrastructure. The role involves full-stack development, architecture, performance optimization, reliability engineering, and technical product influence within a remote startup team.

Lead technology initiatives that transform logistics processes into scalable automation. Set technical direction, coach engineers, identify opportunities for tools and integrations, improve decision-making workflows, and guide AI-native systems from concept through practical implementation. The role operates across data, applications, integrations, automation, and human-in-the-loop AI workflows while maintaining team focus and delivery momentum.

Lead hands-on software engineering and architecture across multiple teams, designing and delivering Angular and .NET applications, APIs, integrations, cloud solutions, and reusable engineering platforms. Modernize legacy systems, improve reliability and security, troubleshoot production issues, strengthen CI/CD and testing, and mentor engineers. Establish practical AI-assisted development practices and customer-facing AI capabilities with appropriate security, validation, traceability, and human oversight.