Top Remote Senior Level Software Engineer Jobs in Boston, MA

Full Stack Engineers will design, develop and implement features for a SaaS product using React, Typescript, Django, and Python, collaborating within an agile team.

Senior SAP Reporting Configuration Engineer to configure and support SAP finance reporting, build CDS views, develop and test reporting solutions, support month-end close, troubleshoot defects, document architecture, and collaborate with onshore/offshore teams and stakeholders.

Lead design, build, and deploy full-stack software for DoD/IC missions. Rapidly prototype MVPs, integrate systems and APIs, deliver high-performance frontends, collaborate with users, and deploy/test in secure operational environments.

Lead Salesforce strategy and architecture for lead-to-cash and service-to-retention workflows. Design scalable end-to-end solutions, enforce governance and DevOps, build AI-ready data architectures (Agentforce/Einstein), optimize performance, manage integrations and data migrations, and document designs while advising stakeholders and minimizing custom code.

Build and maintain digital content products for America's Test Kitchen. Work on software development, data analysis, and product-focused engineering across associate, senior, and lead roles in a hybrid Boston environment.

As a Lead Software Engineer, you'll develop cloud-based applications using React and Node.js, mentor engineers, and improve processes.

The Distinguished Engineer will drive innovation in banking technology, lead software engineering projects, mentor teams, and utilize AI and advanced architectures for risk management.

Design, build, and maintain blockchain and payments infrastructure; develop scalable microservices and secure RESTful APIs to transfer value across blockchain and banking protocols; integrate with banks and fintech; own system design, testing, deployment, and troubleshooting; ensure reliability, code quality, and strong test coverage while collaborating with product and engineering teams.

Deploy and integrate Shield AIs Hivemind autonomy software with customers worldwide. Provide on-site technical support, training, debugging, and documentation. Collaborate with sales and product engineering to support pre- and post-sales activities and improve autonomy products.

Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.