Principal Engineer jobs in Boston, MA

The Principal DevOps Engineer will own platform architecture and infrastructure decisions across AWS, GCP, and Azure. They will lead incident response, manage Kubernetes at scale, and mentor engineering teams to improve platform reliability and developer self-service.

Independently extract and prepare large datasets, build and validate machine learning and forecasting models, and deliver production-grade analytics solutions. Lead high-visibility projects end to end, create visual reporting, and advise business teams and executives with actionable recommendations.

You will lead the technical direction for Surety underwriting modernization by transitioning legacy systems to a modern React, TypeScript, NestJS, and AWS architecture. You will also partner with cross-functional teams to design scalable solutions and provide architectural guidance to engineering teams.

The Principal Security Operations Engineer will lead the design and improvement of secure, scalable Kubernetes and cloud infrastructure while automating security controls across CI/CD pipelines. They will provide technical leadership for complex security incidents and mentor engineering teams to embed security best practices into developer workflows.

The Senior Principal Software Engineer will act as a hands-on cloud architect to guide engineering teams in building resilient, secure, and scalable cloud-native software. You will partner with product teams to solve complex architectural problems, establish reusable patterns, and lead technical direction for AWS infrastructure.

You will architect and implement bare-metal firmware to provision, boot, and supervise on-chip acceleration engines for high-performance networking silicon. The role involves defining hardware/software contracts, managing secure firmware-loading pipelines, and providing technical leadership across the engineering team.

Lead and develop a high-performing team building and optimizing data, training, and evaluation pipelines and tools for perception machine learning. Set team priorities and technical direction, contribute production code, guide design and code reviews, and collaborate with ML engineers to improve end-to-end development workflows.

The role involves designing and maintaining an enterprise-scale data and AI platform to accelerate AI adoption across the organization. You will act as a technical multiplier by creating reusable components, starter kits, and developer-first patterns to streamline AI solution deployment.

The Principal Full Stack Software Engineer is responsible for designing, engineering, and managing the architecture for specified products. They lead development roadmaps, champion coding best practices, and provide subject matter expertise to business and development groups.

Lead a diverse team of engineers to develop and maintain large-scale AI model and software evaluation frameworks for autonomous vehicles. Drive innovation in data warehousing and analysis while ensuring rigorous validation of ML model performance and safety.

Lead the AV Behavior Understanding and Evaluation team to define standards for safe and assertive autonomous driving. Drive the design, evaluation, and scaling of system behaviors using data-driven insights from simulation and real-world testing.

Develop and train ML pipelines for multimodal sensor data to identify critical driving scenarios and edge cases. Build scalable data preprocessing pipelines and monitor production model health and performance.

The Principal Full Stack Engineer will build scalable AI capabilities by partnering with business, product, and architecture teams. They are responsible for turning wealth priorities into secure, reliable solutions that enhance advisor efficiency and customer experiences.

The Senior Principal Solutions Engineer supports the growth of Managed Business Services by driving pipeline development and sales execution across the Americas. This role involves coordinating RFI/RFP responses, managing client meetings, and maintaining CRM data to ensure effective sales progression.

You will lead the AI security strategy, roadmap, and governance framework while partnering with engineering teams to integrate security controls into AI products. Additionally, you will conduct adversarial testing, threat modeling, and represent AI security risks to executive leadership.

You will lead the modernization of core fulfillment technology by designing scalable, high-throughput architectures and implementing production-quality code. Additionally, you will mentor engineering teams and establish technical standards for warehouse management systems, robotics, and mobile associate experiences.

Build and operate reliable, scalable AWS cloud infrastructure and containerized applications, including infrastructure as code, CI/CD pipelines, monitoring, security, and disaster recovery. Contribute to Python/FastAPI microservices and collaborate with engineering, data science, and product teams to deliver AI-powered search, retrieval, and analytics capabilities.

Lead the architecture, development, and delivery of backend software across an enterprise monolith and newer platform services, ensuring quality, reliability, observability, and operational readiness. Set engineering standards, guide technical decisions, collaborate with product and engineering stakeholders, mentor engineers, and support responsible adoption of AI-assisted development tools.

Automate and optimize Java application builds, testing, packaging, and deployment through reliable CI/CD pipelines, while managing dependencies and troubleshooting release issues. Collaborate with development, QA, and operations teams to deliver high-quality software releases and improve deployment consistency using containerization and automation.

The Principal Engineer Team Lead will own the development and validation of safety-critical functions and performance benchmarks for autonomous robotaxis. This role involves leading a high-performing team to deliver systems engineering evidence, such as hazard analysis and safety case documentation, to support commercial launch.

Lead the research and development of novel algorithms and sub-systems for motion planning in autonomous driving. Architect and integrate complex combinations of motion planning and prediction algorithms for real-world deployment.

The Principal Data Engineer will identify and own technical solutions to achieve data convergence across Digital Risk Protection systems and data streams. They will also mentor team members and collaborate with various internal teams to ingest and analyze digital risk data at scale.