Top Remote Entry Level Software Engineer Jobs in Boston, MA

Develop and support InterSystems IRIS and Caché applications for laboratory and healthcare interoperability. Responsibilities include designing ObjectScript classes and productions, building HL7 interfaces, developing APIs and data workflows, optimizing SQL and IRIS data structures, migrating Caché to IRIS, troubleshooting integrations, supporting deployments, and ensuring FDA and HIPAA compliance. The role also involves solution design, root-cause analysis, collaboration with stakeholders, mentoring, and limited onsite sessions.

Build responsive Bubble.io applications for startup clients, collaborate with product managers and designers, refine requirements, test tools and assumptions, communicate with clients weekly, and contribute reusable components and tutorials to the internal library. The role offers autonomy, client exposure, and opportunities to advance into technical leadership or product management.

Design and build large-scale distributed data systems for blockchain analytics. Translate ambiguous product requirements into technical designs, sequence work, make architectural decisions, and own components from design through production. Work across Go, Kotlin, Rust, and Python while optimizing data ingestion, distributed processing, and data lake storage. Mentor engineers, improve design reviews and testing practices, and collaborate effectively in a fully distributed team.

Own and enhance Infisical’s website by building pixel-perfect, reusable frontend components, core pages, microsites, and frontend architecture. Integrate CMS, analytics, attribution, and marketing tools while implementing SEO, A/B testing, accessibility, performance, and conversion optimization. Collaborate with engineering, design, marketing, and company leadership to create a high-quality website that drives organic traffic and user adoption.

The role involves designing, developing, and maintaining software applications. Collaboration with cross-functional teams is expected, alongside optimizing existing systems.

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.

Lead engineering strategy, architecture, AI-native product development, execution, hiring, and organizational growth. Partner with the CEO, leadership, and Product to build technical roadmaps, establish AI-assisted development and evaluation practices, improve infrastructure and engineering quality, and maintain delivery accountability. This hands-on leadership role requires coding credibility, product collaboration, talent development, cross-functional communication, and ownership of engineering metrics, culture, and technical direction.

Lead and develop a 12-person multidisciplinary data organization spanning data engineering, analytics engineering, data science, machine learning engineering, and support. Set technical direction for the data platform, improve scalability and reliability, automate workflows, guide architecture, and integrate data and machine learning capabilities into products. Establish priorities, support go-to-market teams, manage performance and career development, hire effectively, and collaborate with Engineering, Product, and company leadership.

Build and scale SafetyWing’s global social safety net products. Develop clean, scalable backend services using Java and Kotlin, contribute to frontend applications with TypeScript, React, and Next.js, and participate across requirements gathering, system design, implementation, testing, deployment, and maintenance. Collaborate closely with product and technology teams while helping shape technical processes and company direction.

Forward Deployed Engineer responsible for managing client relationships, supporting end-to-end data product implementations, ensuring data quality and adoption, and coordinating account and engineering teams. The role develops scalable data pipelines and product lines, applies SQL or Python and statistical methods, creates visualizations, documents code, trains employees, and drives customer value. Experience with data products, retail or consumer data, BI infrastructure, and alternative data sources is valuable.