Top Platform Engineer Jobs in Boston, MA

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.

Lead operational design and engineering for the data platform: own Snowflake and dbt administration, automate platform operations and CI/CD, monitor platform health and observability, enforce governance and access, optimize performance and costs, and develop AI/agent integrations to enable governed data access for business users.

Lead design and build of an AWS-only AI Operations platform: hosting, IaC, registries (Accountability, Agent, Tool), identity/authorization patterns, developer DX, observability, and security hooks for agentic systems. Evangelize internally and partner on compliance and security integrations.

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.

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

Technical leader responsible for cloud platform architecture, IaC, CI/CD, self-service developer tooling, reliability, observability, and cost optimization. Mentor engineers, drive automation, lead initiatives from design to production, and collaborate with Security and Operations on secure scalable solutions and incident response.

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 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.

Design, build, and operate platform systems powering CI/CD, deployment automation, Kubernetes infrastructure, and internal tooling. Develop backend platform APIs (.NET/Python), integrate enterprise workflows, improve observability (Dynatrace, ELK), build an Angular self-service portal, participate in on-call rotations, embed AI into developer workflows, and mentor engineers to improve platform reliability and scalability.

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.

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

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 Backend Software Engineer II, you will develop and maintain member-facing features using WHOOP's AI capabilities, collaborating with cross-functional teams and ensuring high-quality software solutions.

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

Design and build a scalable agentic AI framework integrating MCP/A2A, LLMs, and orchestration with enterprise data pipelines. Implement APIs/SDKs and tooling, ensure secure multi-tenant production deployments on Kubernetes/Docker, evaluate new agentic/LLM technologies, and mentor engineers to establish AI engineering best practices.

The AI Platform Engineer will develop full-stack systems connecting AI models to real-world applications in drug design, collaborating with scientists and ensuring rapid experimentation cycles.

Architect, build, and scale high-performance ML platform infrastructure using IaC (Ansible, Terraform). Apply SRE practices to ensure reliability across multi-cloud and on-prem GPU clusters, develop automation and orchestration tooling, operate Kubernetes/Docker workloads, participate in on-call rotation, and collaborate with researchers to support end-to-end ML workflows.

Senior Windows-focused Platform Engineer responsible for administering Windows server environments, supporting IBM FileNet/DataCap/BAW/ICN applications, ensuring security and performance, implementing monitoring, troubleshooting production issues, documenting systems, and collaborating with internal teams and clients to improve platform stability and processes.

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.

Lead design, development, and operation of WHOOP's Kubernetes clusters on AWS. Drive architecture to improve scalability, resiliency, performance, and security across the build/deploy platform. Build tooling for safer, faster Kubernetes deployments, advance CI/CD, mentor engineers, participate in incident response/postmortems, and partner with application, security, and data teams to embed secure-by-default practices and define the long-term infrastructure roadmap.

The Lead Platform Engineer will design and support OpenShift and DevOps CI/CD solutions for cloud-driven transformations, collaborating across teams and managing production infrastructure.

The Power Platform Developer is responsible for developing business applications, automating workflows, conducting vulnerability management, and ensuring security compliance within Microsoft environments.

Build and operate cloud infrastructure for mission-critical aviation systems, focusing on scalability, resilience, and deployment pipelines in a production environment.