Top Remote Entry Level Software Engineer Jobs in Boston, MA

Develop scalable, automated software that improves product and platform security. Build and maintain full-stack applications, including front-end interfaces, application frameworks, data management, analytics, and visualization tools. Provide performance insights to customers and internal teams, research relevant technologies, and collaborate with multidisciplinary teams to deliver effective solutions.

Build and maintain mission-critical wealth management systems for SMB clients. Design data pipelines, ETL/ELT processes, data models, warehouses, analytics, and reporting solutions using AWS, Snowflake, Mage AI, and other big data tools. Collaborate with data scientists and analysts on predictive models, statistical analyses, and machine learning algorithms. Develop software with Next.js and Python while working closely with the team and clients on financial-domain challenges.

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.

Lead the engineering department, develop and empower engineers, establish systems and guardrails for reliable delivery, improve workflows, maintain technical involvement, and set metrics that drive productivity and impact. The role partners closely with Product, supports high-impact decisions, and builds a culture of trust, psychological safety, ownership, and clear communication.

Develop, deploy, and support enterprise UiPath RPA and intelligent automation solutions. Build attended and unattended bots, integrate APIs, SQL databases, enterprise applications, and cloud services, and incorporate Document Understanding, GenAI, LLMs, RAG, and agentic AI. Responsibilities include testing, troubleshooting, monitoring, production support, documentation, governance, security, compliance, and reusable component development.

Talent community opportunity for future technical roles at RapidSOS. Potential responsibilities include developing and supporting life-saving technology, collaborating with Product on public safety solutions, leading or supporting engineers, owning strategic initiatives, and improving tools and processes. Candidates should be collaborative, self-motivated, adaptable, detail-oriented, eager to learn and leverage AI, and comfortable in a fast-paced startup environment.