Top Platform Engineer Jobs in Boston, MA

The Platform Engineer IV will act as a MuleSoft SME, responsible for designing, developing, and implementing software solutions, mentoring junior engineers, and collaborating across teams to deliver quality outcomes.

The Platform Engineer, ClickHouse administers and secures ClickHouse clusters, manages Kafka ingestion, integrates with AWS, and ensures CI/CD practices. Responsibilities include schema management, access control, and cluster health monitoring.

The role involves building and improving WHOOP's data platform infrastructure, ensuring reliability and efficiency, and driving best practices across engineering and data workflows.

As a Lead Platform Engineer, you will develop solutions on Workday for HR, improve data quality, and lead integration teams. Collaborate with stakeholders to ensure cohesive system configurations and optimize business processes using Agile methodologies.

The Data Platform Engineer II role involves automating data infrastructure, scaling analytics platforms, and ensuring system reliability and security. Key responsibilities include managing CI/CD pipelines, configuring secure networking, and collaborating with Data & Analytics teams to optimize performance.

Lead a team to develop solutions in Workday Finance, focusing on automation and integration, while collaborating with stakeholders and improving business processes.

The role involves designing and managing secure cloud infrastructure on AWS, automating security practices, and collaborating with various teams to improve developer workflows and ensure compliance. Key tasks include IAM management, implementing automation tools, and participating in incident response.

The Principal Data Platform Engineer leads the design of data architectures, implements data platform patterns, and optimizes system performance, ensuring data strategy operates at scale.

The Lead Platform Engineer will develop and manage Workday integrations, optimize HR technology, and lead a team while ensuring quality and innovation in various HR modules.

The Senior Data Platform Engineer will manage and develop the data infrastructure on Databricks and AWS, ensuring scalable and efficient data capabilities while collaborating across teams.

The Cloud Platform Engineer will lead the delivery of the Flyways AI Platform, deploying, maintaining, and scaling secure cloud infrastructure while collaborating on coding software solutions with product engineers.

As an Android Engineer II, you'll develop scalable design systems, support internationalization, maintain UI components, and enhance app performance while collaborating with design and backend teams.

The Software Engineer II (Frontend) will design and develop user experiences for WHOOP's digital products, focusing on responsive web applications and collaboration across teams.

As a Senior Software Engineer, you'll build scalable systems, collaborate with teams to deliver software features, and ensure high-quality applications.

The Senior Lead AI Engineer will develop AI software components, partner with cross-functional teams, and contribute to AI system optimization. Key responsibilities include model training, deployment, and leveraging AI technologies to enhance banking services.

As a Senior Software Engineer at Klaviyo, you will design and scale AI backend systems, collaborate with ML engineers, and optimize customer experience through innovative technology.

As a Senior Quality Platform Engineer, you will develop and maintain quality infrastructure, improve developer experience, and implement quality engineering practices to ensure scalable, efficient testing workflows.

Lead DevSecOps initiatives by integrating AppSec scanning (SCA/SAST/DAST) into CI/CD pipelines, improve supply-chain security, modernize legacy tools, collaborate across teams, and mentor junior engineers while delivering secure, maintainable platform engineering solutions.

As a Software Engineer II, you will build and operate Klaviyo's Flows Platform, focusing on backend systems that process billions of events reliably and efficiently. You will tackle complex challenges, contribute to tech decisions, and ensure high-scale performance.

Design and build scalable data platform infrastructure, ensuring data accessibility and reliability. Support teams in data transformations and foster collaborations for better decision-making.

Lead AI infrastructure projects, develop GenAI solutions, drive automation strategy, and collaborate with IT and business teams for implementation.

Design and scale backend services using FastAPI and messaging systems, manage large datasets, and lead team for high-performance platforms in defense applications.

Design, build, and maintain full stack systems for WHOOP's design system and translation infrastructure, improving internationalization support and collaborating across teams.

The Lead AI Engineer will develop AI solutions, partner with cross-functional teams, and optimize large-scale production AI systems using various technologies.

The role involves developing solutions on the Workday platform for finance, supporting Finance technology initiatives, and improving processes through automation.