Top Remote Senior Level Software Engineer Jobs in Boston, MA

Lead architecture and delivery of complex AI-native software features for ServiceNow Flow. Build agent runtimes, tool integrations, prompt and context layers, retrieval systems, evaluation frameworks, and human-in-the-loop controls. Establish AI-assisted development practices, mentor engineers, set engineering standards, partner cross-functionally on product delivery, and own production quality, observability, release readiness, and defect resolution.

Build and scale MongoDB Atlas Agent Engine, including its developer CLI, SDKs, runtime, memory, retrieval, identity, governance, and distributed systems layers. Design well-tested, reliable, high-performance software; contribute to architecture, code reviews, developer experience, and engineering practices. Collaborate across research, product, design, and engineering teams, own complex projects, mentor engineers, and help evolve the platform for production-scale AI agents.

Design, build, and own scalable microservices and secure APIs that transfer value across blockchain and banking protocols. Extend in-house blockchain infrastructure, integrate with banks and cloud services, troubleshoot production issues, document system and testing procedures, and collaborate with product and engineering teams to deliver reliable payment experiences.

Designs and operates scalable managed database infrastructure and distributed control-plane systems. The role owns architecture, performance, resiliency, automated failover, backups, recovery, observability, and production reliability for PostgreSQL and MySQL services. It also leads complex cross-team technical initiatives, mentors engineers, participates in on-call rotations, and supports high-concurrency data and AI-adjacent workloads.

Build and lead end-to-end web and mobile product features for a MedTech sales platform. Collaborate with customers, product managers, designers, and engineers; use data to improve performance and identify product opportunities; introduce scalable technologies; mentor engineers; and develop AI-enabled experiences using agentic tools. The role requires full-stack proficiency across modern JavaScript and Python technologies, relational databases, GraphQL, and cloud services.

Leads software teams developing, integrating, deploying, and maintaining full-stack mission applications for DoD and intelligence customers. Builds prototypes, scales applications, develops responsive frontend features, integrates systems, collaborates with government operators, and conducts deployment and field testing in secure environments. The role requires customer relationship management, technical leadership, software engineering expertise, and active security clearance.

Designs, develops, tests, and maintains software, APIs, integrations, and automation for Managed Services applications and platforms. Builds Python, Ansible, and Go solutions; supports enterprise application lifecycles; troubleshoots distributed systems; develops CI/CD pipelines; and improves operational efficiency. Provides technical leadership through architecture and code reviews, engineering standards, mentoring, documentation, and cross-functional collaboration with SRE, infrastructure, security, operations, and business teams.

Lead a platform configuration and implementation engineering team, owning technical direction, delivery commitments, architecture, system reliability, hiring, and engineer development. Collaborate across Product, Delivery, Underwriting, Compliance, and peer engineering teams. Guide distributed systems and microservices development, promote configuration-driven solutions, adopt AI development tooling, monitor team and system metrics, and contribute hands-on to design and code reviews.

As a Pre-Sales Solutions Engineer, you will drive technical pre-sales engagements, architect custom solutions, and guide customers on API integration and deployment strategies, enhancing their experience with Voice AI technologies.

Build and own integrations and data pipelines connecting healthcare and insurance systems. Develop reliable systems for claims, bills, EOBs, coverage data, portals, webhooks, and inbound files. Normalize and protect PHI, improve observability and data quality, set technical direction, mentor engineers, and use AI-native development practices.