Top Remote Principal Software Engineer Jobs in Boston, MA

Build and maintain parsing infrastructure, SDKs, data models, and services for hardware design collaboration. Develop parsers for circuit-design formats, binary file-merging capabilities, test harnesses, developer tooling, and performance improvements. Collaborate with engineering, product, sales, and other stakeholders to define interfaces, requirements, timelines, and constraints while driving autonomous, cross-functional projects.

Lead quality engineering for cloud-based compute microservices by developing automated unit, integration, and end-to-end testing frameworks and pipelines. Create test plans, automate deployments and rollbacks, troubleshoot complex issues, identify root causes, and mentor junior engineers. The role requires deep Python and Pytest expertise, automation tooling experience, Linux performance knowledge, Bash scripting, Docker, and strong networking fundamentals.

Lead design, development, and delivery of mission-critical SIEM platform features. Define technical vision, own quality and uptime, mentor engineers, collaborate cross-functionally, build AI-assisted workflows, and drive performance, monitoring, and architecture decisions.

Lead technical vision and architecture for a cloud-native, event-driven health platform. Guide teams from prototype to production, ensure reliability, security, performance, and strong engineering practices (testing, observability, CI/CD), mentor senior engineers, and collaborate with product and architecture stakeholders to drive platform roadmaps and execution.

Design, implement, and ensure quality of systems stack, tools, and SDK integration for AI frameworks. Collaborate with hardware and ML teams, apply engineering principles, write low-level/high-performance code, define architecture, estimate scope, and drive coding standards.

Design and build distributed systems, high-performance APIs, real-time data pipelines, and intelligent LLM-powered applications processing billions of events daily. Develop advertising, identity, and intent platform capabilities using streaming, batch, and large-scale data technologies. Own system quality, scalability, performance, and observability while collaborating with product managers, data scientists, and engineers. Provide technical leadership and mentorship across initiatives involving ad infrastructure, identity resolution, behavioral analytics, and applied AI.

Work on end-to-end AI performance for LLMs: benchmark and optimize inference on GPUs and Microsoft silicon, build tooling for performance insights and model porting, implement and test components in AI/DNN frameworks, and collaborate with internal and external partners to reduce hardware footprint and accelerate deployments.

Architect and develop foundational edge-computing runtime and integration platforms for connected-home devices. Build software models for device, spatial, and occupancy data; prototype and productionize new concepts; evaluate architectures; and provide technical leadership through design reviews, coding standards, mentoring, and cross-functional collaboration. The role spans edge computing, IoT, distributed systems, embedded environments, intelligent agents, networking, and secure systems within an exploratory R&D organization.

Build production-ready AI applications, services, APIs, reusable frameworks, and autonomous agents for enterprise quality engineering. Lead architecture and complex technical initiatives, integrate AI into software development and testing workflows, evaluate emerging technologies, and establish AI governance, security, observability, and development best practices. Partner across engineering, product, security, architecture, and data teams while mentoring engineers and shaping long-term AI strategy.

Lead the architecture and modernization of a complex enterprise SaaS platform while remaining hands-on with critical software design and development. Define technical direction, improve scalability, reliability, security, performance, and maintainability, and guide design and code reviews. Partner across engineering and product teams, resolve complex technical challenges, establish engineering standards, mentor engineers, and translate architectural strategy into practical delivery.

Lead the technical vision, roadmap, and development of Elasticsearch’s ES|QL analytical engine and query capabilities. Design data-intensive systems, algorithms, APIs, and compute infrastructure; research search and analytics technologies; collaborate across product and engineering teams; mentor senior engineers; and contribute hands-on modern Java development. The role requires autonomous technical leadership, expertise in database internals and analytics systems, and the ability to guide complex projects from conception through delivery.

Lead architecture and technical direction for an AI-first SaaS product (Growth Studio). Define scalable services, APIs, data flows, and AI-enabled workflows; guide integrations, run architecture/code reviews and POCs; mentor engineers; produce technical documentation; and partner with product, UX, QA, and ops to deliver reliable, secure, and maintainable platform capabilities for GovCon customers.

Designs and builds full-stack cloud applications with AI-powered features for supply chain and operations. Responsibilities include integrating ML models and LLM APIs, developing agentic workflows and MCP servers, modeling knowledge graphs and ontologies, establishing engineering standards, implementing CI/CD and testing, monitoring production systems, and mentoring junior engineers. The role also leads complex application projects and translates business problems into reliable, production-ready solutions.

Set technical direction for Elastic Cloud Serverless control-plane initiatives, designing distributed systems that orchestrate projects across AWS, Google Cloud, and Azure. Lead multi-quarter, cross-team delivery; write and review Go code; improve reliability, security, and cost efficiency; investigate incidents; participate in on-call; mentor engineers; and advise product and engineering leaders on technical trade-offs and roadmap decisions.

Lead the architecture and development of backend platforms and agentic AI systems. Design scalable distributed services, APIs, runtimes, orchestration, integrations, evaluation systems, and observability capabilities. Drive ambiguous initiatives from concept through production, ensure reliability and safety, collaborate with customers and product teams, and mentor engineers while remaining hands-on with coding and operations.

Owns technical direction and execution for major products and systems. Designs scalable backend, frontend, API, database, and infrastructure solutions; writes production code; drives architecture decisions; resolves complex engineering problems; improves testing, security, observability, and development practices; and mentors engineers across teams. The role requires leading major initiatives from design through production in a globally distributed environment.

Lead development of Elasticsearch vector similarity search capabilities, including designing algorithms and data structures, implementing features, fixing bugs, and improving code quality. Collaborate asynchronously with a globally distributed engineering team and open-source community. Serve as a subject-matter expert on vector search relevance and implementation while contributing modern Java code and guiding cross-functional initiatives autonomously.

Lead the architecture and development of reliable AI-powered email applications across backend, mobile, and desktop platforms. Design APIs and workflow systems supporting orchestration, state, tool use, retries, fallbacks, and failure handling. Lead a small senior engineering team, make architectural trade-offs, mentor engineers, and establish strong production practices including observability, monitoring, testing, scalability, security, and operational excellence. Partner with ML leadership to deliver robust, high-quality product experiences.

The role involves leading initiatives for vector search in Elasticsearch, enhancing features, resolving bugs, and contributing to community engagements in a distributed team setting. A strong background in vector similarity and Java is crucial.

Lead technical direction and hands-on execution for major software products and systems. Design scalable architectures across backend, frontend, APIs, databases, and infrastructure; write code; drive architecture decisions; solve production issues; improve testing, security, observability, and development practices; lead critical initiatives; and mentor engineers across distributed international teams.

Lead design and prototyping of generative AI experiences for autonomy development; drive UX for Hivemind products; perform user research, collaborate with CTO and product leads, and deliver reference implementations and integrations across full-stack web and edge systems.

Provides architectural leadership for complex CX orchestration platforms built on AWS, Genesys Cloud, and Salesforce. Designs integrations and distributed systems, establishes engineering standards, leads governance and technical roadmaps, resolves high-impact production issues, evaluates technologies, and mentors senior engineers and technical leaders. The role influences enterprise architecture, risk mitigation, platform strategy, and cross-functional technical decisions.

Lead the architecture, development, deployment, and reliability of cloud-based customer experience platforms using AWS, Genesys Cloud, and Salesforce Service Cloud. Design integrations, data pathways, CI/CD pipelines, and infrastructure automation while ensuring security, compliance, scalability, and performance. Serve as a technical subject matter expert, guide global agile teams and vendors, coach engineers, establish DevOps practices, and troubleshoot critical production issues.

The Principal Software Engineer will embed with product teams to solve complex technical problems, deliver production code, and make application and service-level architectural decisions. The role owns shared services, reliability, performance, incident response, and cross-system issue diagnosis. It also leads solution design, mentors engineers through influence, supports multiple products and domains, and establishes effective standards for AI-assisted software development.

Lead frontend architecture and implementation for Slate's digital customer experience. Drive design, code, testing, and delivery across web and mobile, mentor engineers, collaborate with UX/product, and make long-term technical trade-offs to ensure reliability and scalability.