Top Platform Engineer Jobs in Boston, MA

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.

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 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.

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.

Design, build, and operate Supabase’s global edge and networking infrastructure, including routing, load balancing, DNS, WAF, TLS termination, CDN integrations, and observability. Improve latency, reliability, security, and cost efficiency across cloud regions. The role includes developing automated routing systems and CI/CD, troubleshooting distributed systems, participating in on-call and incident response, and collaborating with infrastructure and product teams.

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.

Develops and implements Microsoft Power Platform solutions across discovery, design, development, testing, deployment, training, and support. Builds Canvas and Model-driven Power Apps, automates processes with Power Automate and UiPath, integrates data, designs Dataverse models, and supports SharePoint and Dynamics solutions. Serves as a Power Platform subject matter expert, collaborates with clients and project teams, creates technical documentation, manages governance standards, and resolves production issues.

Design, build, and manage highly available GCP platform infrastructure, including GKE, networking, storage, compute, containerization, monitoring, security, and Infrastructure as Code. Automate provisioning and CI/CD, optimize platform performance and costs, document procedures, troubleshoot issues, and mentor junior engineers. Collaborate with development, operations, and security teams to maintain scalable, secure, and compliant cloud environments.

Design, implement, automate, and operate enterprise AWS cloud infrastructure for analytics and data engineering workloads. Build Databricks platforms, Infrastructure-as-Code modules, CI/CD pipelines, secure cloud environments, observability frameworks, and multi-account governance strategies. Optimize reliability, scalability, performance, and cost while guiding engineering teams, leading architecture decisions, and advising clients on cloud and DevOps best practices.

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.

Develop accessible, supportable Power Platform applications and automations for a federal customer. Build Canvas and model-driven Power Apps, Power Automate flows, and Dataverse or SharePoint components. Implement validation, role-based access, error handling, auditability, notifications, integrations, and ALM practices. Participate in testing, peer reviews, release promotion, production readiness, documentation, and user support while collaborating with clients and technical teams.

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.

Design, develop, and maintain secure Microsoft Power Platform solutions for federal and DoD customers. Build Canvas and Model-Driven Power Apps, Power Automate workflows, Dataverse data models, Power BI reports, integrations, and automated deployments. Support ALM, ETL, troubleshooting, documentation, security, and performance. Gather requirements and collaborate with technical and program stakeholders while following federal security and configuration-management practices.

Leads end-to-end development of Microsoft Power Platform solutions in regulated federal environments. Designs Power Apps, Power Automate workflows, Power BI models, Dataverse architectures, security roles, integrations, and RPA solutions. Partners with federal stakeholders to gather requirements, present technical solutions, and document system architectures. The role requires Power Platform experience in GCC High, IL5, GovCloud, or comparable environments, plus eligibility for a Secret clearance.

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, administer, optimize, and govern an enterprise Databricks Lakehouse Platform. Responsibilities include managing workspaces, Unity Catalog, compute, workflows, data pipelines, security controls, observability, performance, cost optimization, CI/CD, infrastructure automation, disaster recovery, and platform upgrades. The role also supports audits, compliance, troubleshooting, documentation, technical standards, and mentorship while integrating Databricks with enterprise data, business intelligence, and AI/ML environments.