Top Platform Engineer Jobs in Boston, MA

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

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.

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.

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.

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

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.

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.

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

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.

Lead design, development, deployment, and support of scalable GenAI platform components (foundation model training, LLM inference, vector search, guardrails, evaluation, observability). Optimize training and inference performance, contribute to technical vision and roadmap, and partner with cross-functional teams to deliver responsible, production-grade AI systems.

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.

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 DevOps Engineer, oversee infrastructure for AI systems, manage Kubernetes clusters, GitOps pipelines, deployment strategies, security posture, and platform reliability. Collaborate with feature teams to enhance developer experience and manage infrastructure costs.

Join the Search Platform team to design, implement, test, and deploy performant search and data-access features. Collaborate with product, data analysts, and engineers, run experiments, iterate rapidly, and provide production support for mission-critical applications serving millions of users.

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 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.