Top Remote Entry Level Software Engineer Jobs in Boston, MA

Designs and implements scalable application networking features for Elastic Cloud, including ingress, security controls, private connectivity, and DNS. The role involves performance analysis, load testing, monitoring, incident troubleshooting, root cause analysis, and developing diagnostic tools. The engineer collaborates across teams to meet networking requirements, improve platform reliability, and apply best practices using Golang, Kubernetes, cloud networking, and distributed systems technologies.

Develop and maintain full-stack applications using Vue 3, Nuxt, JavaScript, Node.js, Firebase, Firestore, and Google Cloud Platform. Build APIs, microservices, integrations with AI and marketing platforms, payment systems, and cloud services. Troubleshoot UI, database, deployment, and API issues; write tests; and collaborate remotely with the CTO and development team. This is a part-time, equity-based startup opportunity requiring approximately 20 hours weekly.

Develop and launch scalable full-stack Quora features using Python and React. Collaborate with designers, product managers, engineers, and data scientists to improve user engagement, moderation, creator experiences, and AI-powered content. Use experimentation and data to guide product iterations, contribute across the development lifecycle, and participate in on-call support for reliable service delivery.

Build and ship end-to-end production features across APIs, databases, user interfaces, and testing. Work primarily with TypeScript, React, Next.js, NestJS, PostgreSQL, and related technologies. Integrate third-party services, maintain scalable systems, debug production issues, write automated tests, and make architectural improvements. The role requires ownership, proactive communication, independent execution, and effective use of AI coding tools in a remote, async-first team.

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.

Leads and mentors application engineers while designing Java and Spring Boot microservices. Oversees application modernization, VM-to-container migration, GCP and GKE deployments, Kubernetes troubleshooting, CI/CD, testing, database integration, observability, and distributed systems. Coordinates technical dependencies across a large application portfolio and collaborates with platform, DevOps, security, and architecture teams. Uses AI-assisted engineering tools to accelerate development, modernization, testing, documentation, and automation.

Build, optimize, and expand Infisical’s open source security infrastructure platform. Develop product features, work directly with enterprise customers, expand PKI, PAM, and KMS offerings, and explore AI applications in secrets management and security infrastructure. The role requires deep JavaScript ecosystem expertise, particularly React.js, Node.js, and TypeScript, with Go, DevOps, developer tools, and open source experience beneficial.

EHRI Engineer II role at Brown University Health, working remotely from Rhode Island during weekday daytime hours. The provided description does not include specific responsibilities, required qualifications, technologies, travel expectations, or security clearance requirements. The position offers an annual salary range of $90,729.60 to $149,697.60.

Develop and evaluate coding tasks for AI systems, including bug fixes, feature development, refactoring, optimization, reproducible environments, reference solutions, automated testing, and deterministic evaluation. The role also involves debugging complex codebases, reviewing contributions, documenting technical decisions, and refining evaluation criteria. Candidates should have strong software engineering fundamentals, backend or API development experience, open-source contributions, and proficiency in at least one listed programming language.