Top Platform Engineer Jobs in Boston, MA

The Sr. DevOps Platform Engineer leads the design and management of data platforms, oversees engineering teams, ensures project compliance, and enhances business processes through technical solutions.

Lead the engineering of DevOps tools, collaborate with Agile teams, improve software practices, and mentor engineers while driving technology innovation.

The Senior ML Platform Engineer will architect and maintain scalable ML infrastructure, develop MLOps platforms, implement CI/CD pipelines, and collaborate with cross-functional teams to enhance AI deployment.

This co-op position involves developing data products, design and testing of data pipelines, and delivering insights from complex datasets for business decisions.

This co-op position involves developing data products and solving complex data problems using cloud technologies, SQL, and programming languages while gaining mentorship and business exposure.

The Senior Slack Platform Engineer will lead Slack Enterprise Grid architecture, security controls, performance optimization, and integration with identity frameworks for CrowdStrike's collaboration platform.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

The AJO Platform Developer will build and optimize journeys in Adobe Journey Optimizer, collaborating with stakeholders for data-driven marketing automation and ensuring compliance with security protocols.

The Senior Native Platform Engineer will integrate software systems into the Dandy platform, enhance functionality through APIs, and improve system documentation while ensuring high standards and effective communication.

As a Senior Application Developer, you will lead disaster recovery and data replication initiatives, build scalable data applications, and ensure data resilience for CrowdStrike's cybersecurity platform.

As a Lead Site Reliability Engineer at Klaviyo, you'll design and develop scalable systems, advocate for upstream solutions, and improve service availability while collaborating with product teams and contributing to the engineering culture.

As a Senior Data Platform Engineer, you will oversee the administration of Databricks and AWS, manage data engineering dev ecosystems, collaborate with teams on data needs, and mentor junior staff.

Lead efforts to deliver the Flyways AI Platform, deploying and maintaining secure cloud services, coding software solutions, and collaborating with teams.

As a Software Engineer II on the AI Platform team, you'll develop backend features, build scalable services, and collaborate across teams to integrate Generative AI into WHOOP’s product offerings.

As a Senior Software Engineer on the AI Platform team, you will design and scale systems for WHOOP's Generative AI capabilities, focusing on robust backend services and tools, collaborating across teams, and mentoring junior engineers.

Design, develop and maintain backend systems for WHOOP's platform, ensuring scalability, security, and performance while collaborating across teams.

The Senior Platform Engineer will develop solutions in Workday for HR functions, enhance configurations, communicate with stakeholders, and provide production support.

The Senior Lead AI Engineer will collaborate with cross-functional teams to design, develop, and deploy AI systems, optimizing performance and driving innovative solutions.

The Senior Platform Engineer will design, develop, and optimize complex integrations within Workday, enhance HR processes, and lead automation efforts while collaborating across teams in an Agile environment.

Develop and maintain autonomy capabilities for robots using C++ and Linux, focusing on behavior tree engine improvements, API development, and unit testing.

The role involves designing and operating AI systems, building data pipelines, fine-tuning models, and mentoring team members while collaborating with product and data science teams.

The Software Developer & Integration Lead role involves developing platform software, supporting product delivery, managing integration issues, and collaborating cross-functionally. The candidate should have strong experience with Linux, RTOS, C/C++, and audio technologies.

The AI Platform Integration Engineer will evaluate AI platforms, integrate coding agents, and enhance service delivery in managed services and SaaS offerings.

As a Platform Engineer, you'll manage Kubernetes services, troubleshoot issues, mentor colleagues, enhance automation, and improve security practices.

The Senior Machine Learning Platform Engineer will optimize ML infrastructures, mentor junior engineers, and raise engineering standards for ML models and systems.