Software Engineer jobs in Boston, MA

Design, develop, and maintain software applications for smart home and lighting systems throughout the product lifecycle. Collaborate with cross-functional engineering teams to ensure high-quality, scalable solutions and perform code reviews.

Work with senior engineers to design and develop features for application platforms. Investigate and resolve platform issues and implement unit and integration tests.

Maintain and enhance the existing data acquisition framework, and develop applications, reports, and automated tests using it. Expand the framework for new data providers and asset classes, analyze preproduction code performance, and improve product documentation.

You will architect and maintain backend services and large-scale data pipelines to power machine learning-based recommendation systems. Additionally, you will collaborate with ML engineers to productionize models and ensure system observability and performance.

Build and own the production AI agent for the Luma platform, including its reasoning loop, tools, memory, security controls, recovery, and evaluation. Develop the surrounding services and AI-first engineering workflow, and improve agent reliability, performance, and safe delivery in collaboration with product teams and scientists.

The Software Engineer will design, develop, and maintain applications, APIs, and data pipelines to support private investment and alternative asset management operations. They will collaborate with cross-functional teams to deliver scalable solutions and troubleshoot production issues.

You will lead the design and architecture for enterprise applications while working within an Agile team to deliver high-quality, scalable software solutions. Responsibilities include coding, testing, debugging, and maintaining applications, as well as participating in an on-call rotation to support production systems.

Design, build, test, and operate Java and Spring Boot services that enrich sales leads, process high-volume event streams, and power dealer-facing APIs and insights. Own features from technical design through production, collaborate with product and engineering partners, and help improve service reliability, observability, and deployment practices.

You will design and deploy complex AI-driven agentic workflows while providing technical leadership and mentorship to the engineering team. Additionally, you will own the end-to-end lifecycle of services, ensuring system reliability, security, and efficient cloud infrastructure management.

Develop and maintain web-based software for biomedical data discovery and visualization while participating in the full software development life cycle. Collaborate with researchers and engineers to integrate AI-driven natural language systems into biomedical data portals.

The role involves owning and maintaining the JavaScript client library and building performant front-end applications using React. Additionally, the engineer will contribute to full-stack projects involving Python or Rust backends and translate Figma designs into production-ready components.

Design and maintain high-performance server applications and message parsers using C++, C, and Rust. Optimize codebase for high throughput and low latency while implementing tools for petabyte-scale data processing.

The role involves owning and maintaining the C# client library and developing high-performance server applications in C++. Responsibilities include writing message parsers for market data feeds and optimizing the codebase for high throughput and low latency.

The co-op will perform hands-on software development for financial services applications within the VestmarkONE suite. They will also build and maintain features while collaborating within an agile scrum team.

Develop and maintain Elixir-based backend applications to orchestrate order processing and manage robotic fleet systems. Collaborate with cross-functional teams to ensure high system reliability and bridge communication between cloud infrastructure and on-premise hardware.

Design, develop, and deliver new software features for the Verily Workbench and Pre Platform solutions. Collaborate cross-functionally to identify dependencies, coordinate delivery, and define technical requirements.

Design, develop, and maintain software components across a modern cloud-based platform while participating in the full development lifecycle. Partner with cross-functional teams to deliver scalable, high-quality solutions and explore emerging technologies like AI-assisted development.

You will build scalable applications and features using modern programming languages and AI tools across the full software development lifecycle. You will work within an engineering team to design, develop, test, and deploy production-ready solutions that support financial goals.

Design, develop, and maintain efficient, reusable, and reliable software solutions while collaborating with cross-functional teams. Identify performance bottlenecks, mentor junior engineers, and contribute to the overall engineering culture.

The SDE 3 will design and deploy multi-agent AI workflows while owning the end-to-end lifecycle of complex services and integrations. They will also provide technical leadership by mentoring junior engineers and driving internal AI adoption strategies.

Design and maintain continuous delivery infrastructure using Argo Workflows and ArgoCD to ensure reliable code deployment. Collaborate with Platform Engineering to streamline service onboarding and participate in a 24/7 on-call rotation.

Design and build autonomous agentic AI platforms to facilitate large-scale enterprise cloud migrations. Collaborate with cross-functional teams to implement generative models and optimize network topologies while maintaining high engineering standards.

You will build agents, workflows, and custom tools to empower non-engineering teams and scale internal operations. Additionally, you will design internal API patterns and integrate third-party systems to support company growth.

The role involves developing generalizable tools and libraries to support machine learning projects and facilitating code reuse across the team. You will collaborate with data scientists to transition models from prototype to production while maintaining high standards for code quality and documentation.