Top Entry Level Software Engineer Jobs in Boston, MA

Develop high-quality, resilient software across Ubuntu and the open source stack, from Linux systems and firmware to cloud, containers, and desktop applications. Contribute to product roadmaps, user experience, code reviews, issue resolution, security, and enterprise requirements. Collaborate remotely with global engineering teams and the open source community, while building expertise in programming languages and Linux systems. Attend international company sprints twice yearly.

Join Galaxy Ventures' Talent Network for Software Engineer roles. Connect with crypto portfolio companies for career opportunities and networking events.

Build and maintain performant, accessible consumer-facing experiences for Netflix’s iOS app using Swift and GraphQL. Collaborate with product managers, designers, and engineers to scope projects, refine interfaces, develop shared infrastructure, and make architectural trade-offs. Teams may focus on client foundations, server-driven UI, advertising frameworks, or ad insertion. Responsibilities include writing robust maintainable code, automation, documentation, and supporting high-quality, scalable mobile experiences.

Build and ship Android features and foundational infrastructure for Netflix’s global app. Responsibilities include designing maintainable, testable code; developing shared frameworks and tooling; partnering with product, design, and engineering teams; modernizing Android practices; using automated testing; scoping projects and making technical trade-offs; and applying GenAI tools to improve development workflows.

Contribute to AI-powered healthcare workflows by designing and implementing features, collaborating across teams, while ensuring code quality and scalability.

Design and develop core backend components for a blockchain network using Rust, ensuring reliability and scalability in production-grade software.

The fellowship offers hands-on experience in software engineering, focusing on data engineering, cloud-native applications, and Agile workflows with mentorship from experienced professionals.

Develop and maintain backend features for Cribl Edge data collection agents running across Windows, Linux, and macOS. Design scalable, reliable software for hundreds of thousands of nodes, collaborate with product and UX teams, write automated tests, troubleshoot production issues, and support SaaS products through on-call rotations. The role requires TypeScript and Node.js development, cloud and container experience, operating-system knowledge, and experience with data-intensive applications or stream processing.

Lead the full software development lifecycle for internal and customer-facing observability systems. Design, build, deploy, support, and optimize scalable distributed systems and high-throughput data pipelines. Own reliability, performance, testing, documentation, and production readiness; participate in on-call support. Mentor engineers, lead design reviews, investigate incidents, and collaborate with stakeholders to develop effective tooling across the Temporal ecosystem.

Design and build performance-focused TV UI architectures for Netflix’s streaming applications across smart TVs, game consoles, and cable boxes. Enable scalable development for engineering teams by improving developer experience, ergonomics, resource management, performance, memory usage, and technology integration. Responsibilities include systems-level architectural thinking, API design, profiling, collaboration with UI, design, platform, and tooling teams, and making thoughtful implementation trade-offs.

Build and ship Android features and infrastructure for Netflix’s global streaming and discovery experiences. Design maintainable, testable software using modern Android technologies, collaborate with product and engineering teams, evaluate technical trade-offs, modernize codebases, and support shared client frameworks. Engineers may work on server-driven UI, ads platforms, SDKs, developer tooling, or high-scale real-time experiences while using automated testing and GenAI development workflows.

Lead the technical direction and integrity of a JavaScript, Node.js, Angular, MongoDB, and AWS-based platform. Responsibilities include architectural stewardship, AI-assisted development, SDLC and quality-process transformation, technical debt prioritization, automated testing, code reviews, and mentoring engineering teams toward scalable, maintainable systems.

Own collaborative editing across React clients and Node services, including offline storage, queued mutations, realtime WebSocket synchronization, conflict resolution, and data persistence. Build agent-enabled editing experiences, investigate data-loss issues across environments, and collaborate with designers, backend engineers, and open-source contributors. The role requires production TypeScript experience across React and Node, rich-text editor frameworks, offline applications, WebSockets, and advanced Postgres skills.

The Software Engineer - AI Systems will design and implement systems to coordinate LLMs, build testable software stacks, conduct research, and collaborate with team members to create AI-powered security solutions.

The UI/UX Software Engineer will design intuitive interfaces and implement them in code for wearable sensors, collaborating with teams to create engaging visualizations and enhance user experiences.

Build and maintain cross-platform Electron desktop apps focused on reliability, performance, and real-time behavior. Implement desktop features (file access, notifications, auto-updates), integrate AI via backend APIs, optimize startup/memory, profile Electron overhead, manage large local state and message history, and ensure stability on macOS and Windows.

Develop, maintain, and enhance complex software systems based on requirements. Design, code, debug, integrate software, document and test components, and develop data queries. Provide recommendations to improve processes and support system-level design decisions.

Join the User Systems team to design, develop, test, deploy and maintain cloud-based backend systems for mobile apps. Collaborate cross-functionally, optimize for performance, reliability and scalability, participate in code/design reviews and testing, document systems, and serve in an on-call rotation.

Design, build, and scale backend and data infrastructure for an AI-driven CRM. Implement full-stack systems, data models, observability, and backend services to support LLM-powered workflows, ensuring reliability, performance, and scalability.

Join the Device Cloud Services backend team to learn and contribute to large-scale distributed systems that provide customers real-time control of home security devices. Implement well-tested, reliable services, write automated tests, debug and improve existing systems, document work, participate in code reviews, use AI-assisted developer tools, and after ramp-up join the on-call rotation with mentorship from senior engineers.

Design, develop, test, deploy, and support ServiceNow-based solutions and integrations. Troubleshoot production issues, participate in upgrades and release activities, create technical documentation, and collaborate with product managers, architects, cybersecurity teams, and stakeholders in a global Agile environment. Support Qualtrics and enterprise translation integrations and improve automation and user experience.

As a Software Engineer at Keycard, you'll design, develop, and implement identity and access infrastructures for dynamic, agent-native systems. You'll work on innovative projects that enhance developer experience and security, collaborating closely with a distributed team.

The Software Engineer will develop and operate the Praetorian Guard platform, implement backend and frontend solutions, and collaborate with security engineers on features and scalability.

Leads application engineering for an AI-powered email product, owning backend, mobile, and desktop architecture. Designs reliable AI workflows with orchestration, state management, retries, fallbacks, and failure handling; builds APIs connecting AI capabilities to product experiences; and leads a senior engineering team through architectural decisions, reviews, mentorship, and production excellence. Partners with ML leadership to ship scalable, observable, secure, and reliable systems while balancing latency, cost, user experience, and maintainability.

Develops and supports software applications. The posting requires U.S. citizenship or naturalized citizenship and mandates that all work be performed within the continental United States, Alaska, or Hawaii.