Top Platform Engineer Jobs in Boston, MA

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.

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.

Partner with business teams to identify high-leverage AI opportunities; design, build, and ship agentic AI solutions and internal AI platform components. Deliver production LLM-based agents, integrations, and CI/CD pipelines while driving AI enablement, safety, and adoption across the company.

Own and operate OnRamp's AWS platform, IaC, CI/CD, and deployment tooling; build AI/agent execution infrastructure and observability; drive reliability, incident response, security/compliance, and automation using coding agents and LLM tools.

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

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

Designs and operates ServiceNow platform services and developer productivity tooling, embedding automation, CI/CD, container/runtime capabilities, security, and observability. Leads migrations, upgrades, incident response, and platform hardening. Automates provisioning, configuration, and compliance validations, documents standards and runbooks, mentors engineers, and supports critical escalations to improve reliability and developer experience.

Lead ownership and evolution of Dropbox's Windows endpoint platform (CorpFleet). Improve endpoint management, Intune workflows, security/compliance, automation, operational reliability, and cross-functional rollout. Mentor engineers and drive multi-phase platform initiatives, documentation, and runbooks to scale secure, reliable endpoint experiences.

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

Design, build, and operate Jellyfish's Databricks Lakehouse and data/AI platform. Build ingestion, transformation, and delivery pipelines; govern data with Unity Catalog; enable BI, agentic analytics, metadata, lineage, and observability. Provide technical leadership, set architecture and standards, mentor peers, and collaborate with cross-functional stakeholders to make Databricks the foundation for analytics and AI.

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 AI platform components (LLM gateway, model serving, developer tooling). Own features from development to production, contribute to reliability, observability, governance, and cross-functional integration while producing technical documentation and participating in design reviews.

Build the core AI platform and high-performance Rust backend powering an AI-native trading copilot. Implement streaming responses, low-latency tool execution, caching, orchestration of models and tools, secure APIs, auditing/tracing, and safe, auditable trading action infrastructure. Partner with product and frontend to enable AI-native UX and translate trading domain requirements into resilient platform primitives.

Lead Workday functional engineer responsible for designing, configuring, and supporting Workday HCM modules (HCM, Recruiting, Compensation, Payroll, Benefits). Partner with product owners, provide production support, automate processes, maintain documentation, and drive process improvements and Workday upgrades.

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.

Build and own the Python-based manufacturing platform powering automated test across prototype and mass production. Architect scalable services and AWS infrastructure, integrate with test equipment and embedded devices, create internal APIs and tooling, and drive engineering best practices with testing, CI/CD, code review, and cross-team collaboration to ensure efficient, high-quality device manufacturing.

Lead technical direction and maintenance of a React Native mobile app for iOS and Android. Improve security, authentication (Okta/MSAL/OIDC), Intune device-compliance, CI/CD and release engineering, dependency and SDK upgrades, automated testing, and documentation. Mentor engineers, partner with Security/DevOps/Product, and own production support, crash triage, and app-store compliance.

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.

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 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, deployment, and optimization of large-scale AI/ML systems (training, inference, orchestration, observability). Collaborate cross-functionally to build responsible, scalable generative AI and agentic platforms, improve performance and cost, and shape long-term ML systems roadmap.

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