Platform Engineer jobs in Boston, MA

Design and develop foundational platform services and infrastructure primitives to improve developer experience and engineering velocity. Focus on enhancing the availability, scalability, and efficiency of core platforms while mentoring other engineers.

You will build and scale core ML platforms and infrastructure to enable AI engineers to train and deploy models efficiently. This involves leading technical execution, conducting design reviews, and collaborating with cross-functional teams to ensure system reliability and performance.

You will design and implement secure CI/CD pipelines to automate build, test, and deployment processes across multiple environments. Additionally, you will collaborate with engineering teams to optimize development workflows and build Infrastructure-as-Code frameworks that meet strict security requirements.

You will design and implement secure CI/CD pipelines to automate build, test, and deployment processes across multiple environments. Additionally, you will collaborate with engineering teams to optimize development workflows and build infrastructure-as-code frameworks that meet security requirements.

Lead engineering efforts to optimize release pipelines and development workflows. Architect scalable automation solutions and design robust data infrastructure for actionable metrics.

Lead the operational support, administration, and reliability of enterprise cybersecurity, SIEM, and observability platforms. Partner with cross-functional teams to optimize data ingestion, threat detection, and incident response workflows while ensuring service resiliency.

The Senior Platform Engineer is responsible for designing, building, and continuously improving hybrid infrastructure platforms across on-premises and public cloud environments. This role focuses on implementing infrastructure-as-code, automation, and operational excellence to deliver scalable and secure platform services.

You will own the end-to-end lifecycle of ChromeOS as a platform, including device standards, policy management, and international procurement. Additionally, you will collaborate with security and IT operations to implement device trust signals, data loss controls, and support Android as a secondary platform.

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.

You will design, build, and evolve the data platform infrastructure, backend services, and data pipelines to support analytics and AI-powered products. Additionally, you will manage data movement between cloud environments, ensure system reliability, and mentor other engineers to maintain high technical standards.

Design and build scalable data infrastructure, backend services for data discovery and lineage, and robust pipelines that process petabytes of data. Lead system design and code quality efforts, and maintain scalable data processing and access using cloud ETL technology.

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.

You will own the tooling, evaluation systems, and data platforms to support the Generative AI team while partnering with engineers to solve workflow bottlenecks. Additionally, you will build internal applications and data pipelines to improve the reliability and efficiency of AI-driven hardware development workflows.

You will design, develop, and maintain scalable backend services and autonomous AI agents to support financial and operational workflows. Additionally, you will lead system design decisions, mentor junior engineers, and ensure the performance and reliability of production-grade AI platforms.

You will lead the architecture and operation of core AWS infrastructure, including PBX systems, EKS, and secure networking to support real-time AI voice and workflow automation. Additionally, you will drive operational excellence, mentor engineering teams, and modernize developer workflows to ensure high reliability and compliance.

You will own one or more platform components end-to-end, from design documentation to production operation. You will build and operate services in your focus area while contributing to the broader AI enablement stack.