Top Remote Entry Level Software Engineer Jobs in Boston, MA

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.

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 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.

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 own end-to-end technical solutions for strategic customers, including architectures, product features, and full-scale integrations. Collaborate with customer engineers and executives, apply Python and software development expertise to solve complex problems, and communicate technical concepts clearly. The role is remote-first in the United States with regular travel to customer onsite engagements.

Develop and maintain Tailscale’s open-source client and backend networking software. Design, test, document, and optimize networking components, distributed systems, and overlay routing features. Own services through observability, incident response, and customer escalations while collaborating with product managers and designers. Apply security-first practices and improve system efficiency, scalability, and stability in a fully remote, asynchronous startup environment.

Lead Netflix’s TV Client Paved Paths & Workflows platform engineering team. Build tools, workflows, design systems, component libraries, and server-driven capabilities that help engineers and product partners create streaming experiences. Responsibilities include hiring and coaching senior software engineers, collaborating with Design and Product, communicating business impact, guiding architecture and trade-offs, and fostering an inclusive, autonomous team culture.

Develop and maintain scalable Java backend systems using Spring Boot and microservices architecture. Collaborate with customer teams, review specifications, write clean code, participate in code reviews, document solutions, and troubleshoot and optimize backend performance, reliability, and security. The role also contributes technical expertise to training next-generation AI systems, though prior AI experience is not required.

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.