Top Platform Engineer Jobs in Boston, MA

Build and operate secure, scalable AWS and Kubernetes infrastructure using Terraform. Manage IAM, access controls, CI/CD automation, monitoring, backups, logging, compliance guardrails, and reliability tooling. Collaborate across platform, product, and data science teams, troubleshoot distributed systems, participate in incident response and audits, and improve platform reliability, performance, cost efficiency, and developer experience.

Configure and support Workday across HCM, Recruiting, Compensation, Payroll, and Benefits. Partner with product owners and HR stakeholders to translate business needs into solutions, improve processes, test new capabilities, troubleshoot production issues, document implementations, and maintain calculated fields, custom reports, security, and integrations. Research Workday updates and promote automation, technical excellence, and operational efficiency.

Lead platform engineering initiatives and provide architectural direction for internal developer platforms, build systems, CI/CD pipelines, release automation, and cloud-native infrastructure. Improve software delivery through automation and AI-enabled engineering capabilities while ensuring scalability, reliability, security, and maintainability. Evaluate technologies, collaborate across teams, mentor engineers, and guide technical decisions.

Provide 3rd-level support and engineering for end-user computing and mobility across corporate and retail. Design and document setup, installation, patching, and support processes. Test and deploy solutions (Intune, Autopilot, AVD, endpoint management), troubleshoot systems, analyze data for service improvement, collaborate with architecture and supplier partners, and drive continual service delivery enhancements.

Lead development and delivery of Workday solutions across HCM, Recruiting, Compensation, Payroll and Benefits. Design and build complex Workday integrations and automation using web services (SOAP/REST), WSDL, XML, XSLT and Workday Studio. Provide technical leadership, code reviews, unit testing, and coach a team of integrators/configurators while partnering with product owners and HR stakeholders to optimize processes and platform performance.

Owns the reliability of enterprise platforms supporting engineering and business workflows. Responsibilities include diagnosing cross-domain infrastructure issues, automating operational tasks, implementing platform upgrades and integrations, reducing technical debt, improving incident response, and supporting servers, storage, networking, virtualization, backup, and recovery environments. The role also translates business workflows into technical solutions, participates in on-call rotations, and works onsite in Maynard, Massachusetts at least three days weekly.

Build and maintain backend infrastructure and member-facing generative AI features that deliver personalized health and performance insights. Collaborate with Product, Design, Analytics, and Data Science teams to define requirements and deliver scalable solutions. Develop reliable software using Java, Kafka, AWS, and PostgreSQL; design RESTful APIs and relational databases; optimize performance; and maintain observability and monitoring systems.

Designs and operates Kubernetes clusters on AWS, builds scalable and secure AI runtime infrastructure, and develops tooling for developer productivity and automated development workflows. The role improves platform reliability, supports long-running tasks on cost-efficient infrastructure, partners with application, security, and data teams, participates in incident response, and provides technical leadership and mentorship across the Platform organization.

Build and scale WHOOP AI platform systems and member-facing experiences across the frontend and backend. Design scalable web applications, APIs, and intuitive interfaces; contribute to agent orchestration architecture; translate business requirements into reliable solutions; write tested code; and monitor, debug, and improve production performance and stability. Collaborate with product managers, designers, data scientists, and other cross-functional partners in a fast-paced environment.

Designs, develops, and operates Kubernetes clusters on AWS while improving platform scalability, resilience, security, deployment safety, and release velocity. The role advances CI/CD, developer productivity tooling, infrastructure automation, and secure-by-default practices. Responsibilities include incident response, root cause analysis, roadmap planning, cross-functional collaboration, technical leadership, mentoring, and operating complex production infrastructure.

Build and maintain full-stack systems supporting WHOOP’s design system and translation infrastructure. Develop reusable React and TypeScript components, backend services, RESTful APIs, localization pipelines, RTL and bidirectional text support, and accessible responsive interfaces. Collaborate with Design, Product, Platform, and Localization teams while improving CI/CD tooling, frontend architecture, design tokens, and cross-platform component libraries.

Develop shared Android frameworks, design system components, libraries, and platform capabilities for global product expansion. Implement internationalization, localization, and right-to-left support while improving UI flexibility, accessibility, performance, and responsiveness across devices. Collaborate with design, backend, and platform teams; enhance developer workflows through reusable components, tooling, and documentation; participate in code reviews; and establish Android development best practices.

Build and maintain performant, responsive, mobile-first web applications using Next.js, React, and Tailwind CSS. Translate product goals into polished member-facing experiences, prototype and ship features with AI-assisted workflows, integrate RESTful APIs, and collaborate with product, design, and backend teams. Establish frontend best practices for architecture, accessibility, performance, and maintainability while contributing to UX decisions and navigating ambiguous problems.

Develop and maintain scalable backend systems, APIs, and microservices supporting WHOOP’s platform and member experience. Collaborate cross-functionally to deliver features, improve reliability and performance, implement secure coding practices, and strengthen engineering standards. The role may align with Product Security or Application Infrastructure, involving cloud infrastructure, developer enablement, observability, and data privacy.

Architects, deploys, and operates CrowdStrike’s data platform infrastructure and services. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, implementing security and access controls, developing DBT data models, cataloging assets in OpenMetadata, writing Python automation, and mentoring engineers. The role requires cloud, container orchestration, SQL, data modeling, compliance, and AI technology expertise, along with eligibility for CJIS clearance.

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

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.

Build developer-experience tooling and frameworks for efficient development, testing, packaging, and rapid production releases. Lead release tooling design, establish quality feedback loops, improve engineering workflows through qualitative and quantitative feedback, and promote effective engineering practices. Collaborate with product managers, designers, and engineers to enhance developer productivity and satisfaction while contributing to team and process growth.

As a Forward Deployed Engineer, you will develop AI agents and automation workflows, collaborate with teams, and ensure secure, reliable solutions integrating with various systems.

Develop and maintain Microsoft Power Platform solutions using Power Apps, Power Automate, Power Pages, Dataverse, Power BI, and relational databases. Translate business requirements into scalable technical designs, integrate Microsoft and Azure services, implement security and governance controls, support compliance and audits, and provide mentorship and knowledge transfer. Evaluate emerging capabilities such as Copilot Studio while collaborating with stakeholders, architects, project managers, and developers.

Lead end-to-end Microsoft Power Platform implementations including discovery, design, build, test, and deployment. Develop low-code solutions (Model-driven and Canvas apps), automate processes with Power Automate, create data visualizations, integrate data, maintain coding standards, produce design documentation, support production issues, and act as a Power Platform SME advising on architecture, security, and CoE governance while participating in Agile ceremonies.

Build and improve platform services, cloud infrastructure, CI/CD pipelines, monitoring, and developer tooling. The role involves writing and reviewing code, supporting deployments, improving scalability and reliability, participating in incident response, and collaborating with engineering teams. The engineer will use technologies such as AWS, Kubernetes, Docker, Terraform, Python, RabbitMQ, PostgreSQL, and Datadog while developing ownership of increasingly larger platform areas.

Build and improve AWS cloud infrastructure, CI/CD pipelines, Terraform-managed environments, and containerized applications on ECS Fargate. Lead architecture and deployment reviews, automate reliable application delivery, troubleshoot incidents, perform root cause analysis, and implement monitoring, logging, security, and compliance controls. Collaborate with application, IT, business, and vendor teams while modernizing legacy applications and developing platform engineering capabilities.

Build, secure, and operate an Azure Government AI platform supporting Azure AI Foundry and approved generative AI models. Configure AI projects, deployments, networking, identities, monitoring, cost controls, and integrations. Automate repeatable infrastructure and release processes, troubleshoot across cloud layers, and create operational documentation. The role requires strong Azure engineering, AI platform, security, networking, monitoring, and scripting experience, with responsibility for reliable developer experiences and governed AI usage.

Designs and owns shared test automation frameworks and scalable test execution infrastructure across web, mobile, and backend services. Builds tooling for test environments, test data, parallel execution, flaky-test detection, and infrastructure monitoring. Partners with engineering teams to improve test coverage and quality practices, reduces feedback-loop friction, and documents testing best practices. The role requires strong automation architecture, cloud-native infrastructure, cross-stack testing, and collaborative influence.