Top Principal Engineer Jobs in Boston, MA

Develops and prototypes analog and digital hardware for advanced medical technologies. Translates customer and system needs into hardware requirements, creates electrical designs, supports hardware/software integration, develops verification plans, and transitions feasible prototypes into product development. Provides technical leadership, identifies engineering risks, collaborates cross-functionally with clinical, regulatory, quality, manufacturing, and product teams, and recommends solutions for complex electronics challenges.

Provide technical direction for GitLab Dedicated, a managed single-tenant SaaS platform. Lead architecture and transformation across resilience, failover, tenant orchestration, change management, automation, and platform integrations. Identify systemic reliability and scalability risks, establish reusable platform patterns, strengthen service ownership, and guide cross-team technical decisions. Mentor senior engineers and advance engineering excellence across the organization.

Designs and develops internet-scale data processing, infrastructure management, and observability platforms across cloud and on-premises environments. Establishes engineering standards, resolves complex distributed architecture challenges, and provides technical leadership across the organization. The role requires experience with large-scale orchestration systems, internet protocols such as DNS, WHOIS, and RDAP, architectural trade-offs, and internet security technologies.

Serve as a global SME for Industrial Metaverse technologies (PLCs, IoT, cloud/edge, digital twins, AI, EMC/RED, cybersecurity). Lead standards work, develop test programs, perform and supervise complex testing, train staff, represent UL externally, and support clients and continuous improvement across regional or global labs.

Lead the architecture, design, development, integration, testing, and deployment of advanced radar systems. Research RF sensing approaches, translate customer needs into system concepts, define requirements and architectures, conduct simulations and performance analysis, and guide multidisciplinary teams across software, hardware, integration, and test. The role also involves customer briefings, technical reviews, modeling in Cameo, verification planning, and technical leadership of advanced development projects.

Provides technical leadership for embedded software architecture and development across a global fire detection portfolio. Defines design standards, leads complex embedded systems development, influences technology roadmaps, and drives quality, reliability, cybersecurity, and maintainability. Conducts architecture and code reviews, mentors engineers, collaborates across hardware and systems teams, supports connected IoT products, and contributes hands-on debugging and continuous process improvement.

Lead long-term strategy and architecture for cloud and on‑prem platform infrastructure, driving Kubernetes and multi‑cloud reliability, IaC/GitOps automation, observability, SLO/SLI/error‑budget practices, incident leadership, AI‑augmented tooling adoption, and mentorship of senior engineers to improve platform resilience and developer experience.

Architect and build a company-wide autonomous test platform for robotic systems, including versioned test data schemas, automated pipelines, CI/CD frameworks, hardware-in-the-loop integration, and executive dashboards. Drive adoption across test teams, support reliability modeling with traceable data, establish technical roadmaps, make build-versus-buy decisions, and mentor senior engineers while developing future technical leadership.

Design and evolve distributed search and analytics systems for the Splunk platform. Lead complex engineering efforts from design through delivery, improve performance and reliability, mentor engineers, collaborate cross-functionally, and work with customers to resolve production issues.

Leads enterprise platform engineering and AI enablement by building secure, scalable AWS platforms, internal developer services, automation, CI/CD standards, infrastructure-as-code practices, monitoring, reliability controls, and governance. Partners with architecture, security, infrastructure, data, and delivery teams to operationalize AI, machine learning, analytics, and generative AI workloads. Advises senior leadership, drives technical initiatives, improves developer productivity, mentors engineers, and supports regulated-industry compliance.

Senior/Principal DevOps Engineers will deliver cloud and infrastructure projects for small, medium-sized, and enterprise clients. Responsibilities include DevOps project delivery, staff augmentation, fractional retainers, and solution consulting using AWS, GCP, Azure, infrastructure-as-code, Kubernetes, Helm, Docker, and scripting languages. Strong communication and project management skills are required. Roles are available full-time or part-time as 1099 contractor engagements for US-based workers.

Provides department-wide technical direction for k0rdent across Kubernetes, AI infrastructure, AI applications, and observability. Designs cross-cutting systems, establishes engineering standards, resolves architectural risks, mentors Staff and Principal engineers, and aligns product strategy with durable technical execution. The role also engages customers, partners, upstream communities, and industry forums while contributing code and prototypes to solve complex infrastructure problems.

Architects, deploys, and manages secure automated networking across AWS, Azure, and hybrid-cloud environments. Designs Spine-Leaf networks, optimizes Direct Connect and ExpressRoute connectivity, leads infrastructure-as-code practices with Terraform and Ansible, and drives multi-cloud network product vision. The role troubleshoots network and security issues, supports tier 3 on-call operations, collaborates with stakeholders, and creates technical documentation and knowledge-sharing presentations.

The Principal Database Engineer manages the Oracle Exadata platforms, oversees database architecture and engineering, optimizes costs, and supports AI and analytics initiatives. They lead performance engineering, licensing strategy, and cloud integration, ensuring operational excellence and mentorship for technical teams.

Volunteer Principal Full Stack Engineer to lead and contribute across frontend and backend (React/React Native, Node.js, MongoDB). Own feature development, mentor engineers, collaborate with product/design, ship scalable code, and support CI processes. Must commit 4+ hours weekly and attend a weekly standup; first task includes launching a fundraising campaign.

Volunteer Principal Front End Developer to build React/React Native web and mobile features, mentor engineers, implement scalable full‑stack solutions, ensure cross‑browser compatibility and testing, work with Node/MongoDB/AWS, attend weekly standups, and support a fundraising launch. Minimum 4 hours/week commitment.

Develop, maintain, and optimize mission-critical backend APIs and scalable cloud services for web and mobile clients. Implement secure, high-performance systems, automated tests, observability, and technical documentation. Mentor peers, follow best practices, and support a proof-of-concept launch and fundraising activities as a volunteer contributor.

Develop and advance ServiceNow ITSM workflows, automations, scoped applications, service catalogs, CMDB structures, integrations, and platform governance. Configure and troubleshoot REST/SOAP APIs, IntegrationHub, MID Servers, data imports, upgrades, cloning, and Automated Test Framework execution. Collaborate with product owners and technical stakeholders in Agile/Scrum environments, contribute to solution design and proposals, lead ceremonies, mentor staff, estimate work, and improve delivery methodologies.

Build and improve Azure Kubernetes Service capabilities for Linux and Windows containers. Develop distributed cloud infrastructure, automation, observability tooling, and reliability improvements at global scale. Support AI-native infrastructure, including GPU orchestration, model deployment, inference, and platform operations. Accelerate engineering workflows, prevent production incidents, integrate AI tools, and contribute to Kubernetes and cloud-native platform innovation.

Lead technical direction and major multi-team projects for Chainguard Containers. Design and operate secure container build pipelines, registries, distribution systems, and adoption tooling. Remain hands-on with Go development, architecture, code review, observability, and on-call operations. Form roadmaps with product and engineering leaders, make product-level trade-offs, mentor senior engineers, collaborate across teams, contribute to open-source and industry standards, and establish safe AI-assisted engineering practices.

Leads software engineering for vector search and information retrieval capabilities in Azure data products. Designs complex architectures, develops high-quality and performant code, creates comprehensive test strategies, collaborates across research and engineering teams, and mentors engineers. Drives product integration, scalability, performance, release planning, and roadmap execution while applying expertise in algorithms, database internals, performance engineering, and AI-based retrieval.

Designs, deploys, integrates, validates, and operates infrastructure supporting large-scale AI compute clusters. Responsibilities include Linux systems, virtualization, storage, identity and security services, infrastructure automation, provisioning, testing, production acceptance, Tier 3 escalation, troubleshooting, reliability optimization, and lifecycle management. The role collaborates with engineering teams, vendors, NOC personnel, SREs, and data center technicians across multiple sites, including travel for commissioning and complex troubleshooting.

Lead deployment, commissioning, validation, optimization, and production support for large-scale AI and HPC network fabrics. Configure Ethernet and InfiniBand networks, RDMA/RoCE, routing, switching, telemetry, and automation. Conduct acceptance testing, troubleshoot performance and hardware issues, resolve Tier 3 incidents, coordinate vendor escalations, and develop reliability standards, diagnostics, runbooks, and operational handoffs for GPU clusters.

Lead the integration and production readiness of large-scale GPU clusters, including bare-metal provisioning, Linux and GPU configuration, Kubernetes and Slurm validation, performance benchmarking, acceptance testing, and Tier 3 operational support. Diagnose hardware, firmware, driver, networking, and distributed workload issues; optimize cluster reliability and performance; lead root-cause analysis, vendor escalations, upgrades, automation, documentation, and customer handoff activities.

Design, build, test, deploy, and operate scalable, secure Azure networking software and automation tools. Act as DRI, monitor production, troubleshoot incidents, run root-cause analysis, and drive reliability, performance, and cost improvements. Collaborate with PMs and architects, participate in design/code reviews, mentor engineers, and champion security, privacy, and compliance.