Top Platform Engineer Jobs in Boston, MA

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.

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

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.

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 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.

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.

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

As a Technical Lead Cloud Platform Engineer, you will architect and operate a cloud platform for aviation systems, lead a small team, ensure reliability, and manage incidents.

As a Senior DevOps Engineer at WHOOP, you will enhance application infrastructure to ensure high performance, scalability, and security while mentoring engineering teams.

In this role, you will design, develop, and support AI software components, collaborate with cross-functional teams, and contribute to the roadmap for foundational AI systems.

Lead design, development, deployment, and support of foundation model training and LLM inference platforms. Build similarity search, guardrails, evaluation, governance, and observability. Optimize large-scale AI systems for cost, latency, throughput, and scalability; contribute to technical vision and roadmap while partnering across engineering, research, product, and program teams.

The Senior Machine Learning Engineer will develop and optimize ML infrastructure, create data pipelines, and model orchestration ensuring data quality and performance monitoring.

The role involves designing and implementing a scalable AI framework, integrating AI services with data pipelines, and collaborating with teams for secure deployment.

Design, build, and support complex Power Apps and Power Automate workflows for DHS/ICE operational systems. Implement Dataverse data models, RBAC, polished UI/UX, and robust error handling. Collaborate with stakeholders, support deployment and onboarding, and modernize manual processes into reliable, production-ready solutions in high-sensitivity federal environments.

Owner of the platform and DevSecOps tooling: build reusable serverless AWS infrastructure, improve CI/CD and developer experience, integrate security tooling (SAST/DAST/SCA/container scans), harden AWS environment for security and compliance, and run observability and remediation workflows.

Design, develop, manage, and secure container platforms and cloud-native solutions. Build and automate CI/CD pipelines, troubleshoot pipeline issues, collaborate with application teams across the SDLC, recommend resources for secure container adoption, and support DevSecOps maturity and cloud platform strategy.