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.

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.

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.

Automate cloud infrastructure as code, build developer tooling, administer Kubernetes and platform services, improve CI/CD and observability, collaborate with product teams, run on-call rotation and manage incident runbooks to ensure platform reliability and developer productivity.

Design, implement, optimize, and maintain scalable hybrid multi-cloud Kubernetes platforms operating at massive scale. Integrate open-source technologies, improve platform reliability, provide technical direction, mentor engineers, and participate in on-call support. The role requires expertise managing large Kubernetes clusters, observability tools, Linux environments, public clouds, custom data centers, and AI-enabled workflow improvements.

Design, deploy, secure, and operate enterprise Red Hat OpenShift and Kubernetes platforms across on-premises and cloud environments. Responsibilities include cluster lifecycle automation, multi-tenancy, networking, storage, observability, CI/CD, disaster recovery, upgrades, security hardening, workload optimization, and developer enablement. The engineer will partner with application, infrastructure, and security teams, improve platform tooling and experience, document solutions, and mentor junior engineers.

Design and launch Anthropic’s global corporate mobile device program across iOS and Android. Own device standards, procurement logistics, enrollment, configuration-as-code, compliance, lifecycle automation, telemetry, managed app distribution, and BYOD boundaries. Build infrastructure using MDM/UEM platforms, cloud services, Terraform, GitOps, and CI. Partner with Corporate Security on device trust and travel devices while driving progressive, telemetry-gated fleet rollouts.

Own and evolve AWS cloud infrastructure supporting a financial and hospitality technology platform. Design highly available systems, deployment pipelines, observability, security controls, and infrastructure migrations. Lead incident response, reliability planning, capacity management, and root-cause analysis while participating in on-call rotations. Partner with application engineers, establish infrastructure standards, and mentor platform engineers as the organization scales.

Lead frontend development for Coinbase identity experiences including login, signup, OAuth, account security, and multi-factor authentication. Own projects from design through deployment and monitoring, guide Native versus Webview architecture, author technical designs, resolve systemic technical debt, lead on-call and incident response, and mentor engineers.

The Senior Platform Engineer will develop and support Workday solutions, collaborate with various teams, and enhance human resource technologies for Capital One.

Own and lead the technical direction of a major codebase section while designing, building, testing, documenting, and maintaining secure, scalable API-based decisioning products. Partner with product, engineering, and security teams on agile delivery, troubleshoot production issues, meet SLA requirements, and participate in an on-call rotation.

Own the design, development, and automation of Coinbase’s routing infrastructure connecting services to Kubernetes backends. Build scalable capabilities using Envoy, Istio, Ambient Mesh, and SPIFFE; improve routing latency, reliability, and performance; enhance developer tooling with responsible AI; and collaborate with security, reliability, and observability teams to resolve complex distributed-systems issues.