Top Platform Engineer Jobs in Boston, MA

The Platform Engineer II designs and operates enterprise observability capabilities, including synthetic monitoring, SNMP telemetry, dashboards, alerts, event correlation, and integrations with ServiceNow. The role supports metrics, logs, and traces across applications and infrastructure; automates platform tasks; onboards services; troubleshoots monitoring systems; supports upgrades and incidents; and partners with engineering, infrastructure, SRE, and operations teams to improve reliability and reduce alert noise.

Lead FleetDM migration and engineer shared endpoint platform capabilities across Windows, macOS, and Linux. Build automation, integrations, configuration-as-code workflows, monitoring, controlled deployments, and recovery processes. Improve platform reliability, visibility, maintainability, and operational efficiency while partnering with Security, IAM, infrastructure, and support teams. Mentor engineers, coordinate phased adoption, and establish dependable endpoint health and remediation workflows.

Designs scalable data and AI platform architectures, reusable ingestion and transformation patterns, automated governance and CI/CD workflows, secure cloud infrastructure, observability, and infrastructure-as-code environments. The role improves platform reliability, scalability, and developer productivity through tooling, golden paths, monitoring, automated recovery, and technical standards. It also provides architectural guidance, coaches data teams, and supports critical IT incidents.

Own MongoDB strategy, architecture, operations, observability, resilience, recovery, automation, and lifecycle management across multi-tenant cloud and customer-deployed environments. Lead performance improvements, incident response, root-cause analysis, production changes, and database governance. Partner with Cloud, DevOps, Security, Support, product, and engineering teams to establish standards, improve reliability and scalability, and guide database-related architecture decisions.

Leads platform engineering initiatives supporting cloud-native application teams. Designs and operates highly available systems, CI/CD pipelines, infrastructure automation, Kubernetes platforms, observability, security tooling, and developer enablement workflows. Provides architectural guidance, technical leadership, escalations, and mentorship while improving reliability, delivery velocity, and engineering standards across teams.

Own and deliver quarterly engineering goals for Affirm’s ML Feature Platform. Design, develop, and launch scalable backend systems, lead engineers through ambiguous problems, collaborate with product and design stakeholders, improve platform reliability and availability, support on-call operations, establish quality standards, and mentor team members. The role focuses on highly available distributed systems supporting machine learning feature creation, storage, serving, and offline backfilling.

Build and scale the nRF Cloud backend platform supporting millions of IoT devices. Design, ship, monitor, and operate production systems across infrastructure, databases, performance, reliability, and security. Responsibilities include writing production code, managing Kubernetes and AWS workloads, improving observability, responding to incidents, leading postmortems, documenting technical decisions, and partnering with Product, SDK, Field Engineering, and Support.

Lead architecture and hands-on development of a scalable fraud and payment risk platform. Build backend services, APIs, feature pipelines, configurable rules, experimentation infrastructure, and machine-learning lifecycle tooling. Own reliability, observability, monitoring, performance, and safe production deployments. Collaborate with product, risk policy, data science, and engineering teams while mentoring engineers and driving complex initiatives from design through production.

Designs and supports secure, compliant DevOps platforms across Azure and GCP. Owns CI/CD pipelines, Kubernetes environments, JFrog services, Argo CD, SonarQube, and LaunchDarkly. Implements software supply chain security, vulnerability management, automation, infrastructure as code, developer self-service, and compliance controls. Provides L3 support, incident response, root cause analysis, documentation, and on-call support for enterprise platform services.

Own and improve Dropbox’s Windows endpoint platform, including provisioning, application delivery, patching, compliance, security configuration, troubleshooting, fleet health, and automation. Build code-managed endpoint operations using Intune, FleetDM, osquery, infrastructure-as-code, and GitOps practices. Lead cross-functional improvements, establish reliable deployment workflows, mentor engineers, review code and designs, and document reusable operational practices.

Leads the architecture and engineering evolution of J&J MedTech’s global Microsoft Dynamics marketing platform. Defines shared services, APIs, SDKs, developer frameworks, reusable AI agents, interoperability standards, observability, security, and platform operations. Partners with product, business, and AI teams to scale governed AI-driven commercialization capabilities across marketing and related commercial functions. Establishes engineering metrics, standards, and organizational capabilities while leading modernization initiatives and engineering teams in a complex, regulated enterprise environment.

Architect and operate scalable cloud and virtualized lab platforms for global sales engineering teams. Build automated cybersecurity demonstrations simulating malware, exploit paths, and detection workflows. Lead self-service tooling, product demonstration readiness, infrastructure reliability, outage resolution, security governance, and major conference technical operations. Partner with Product Management, Engineering, Information Security, and Platform Engineering while providing technical leadership across complex infrastructure initiatives.

Designs and maintains cloud infrastructure for large-scale game development and live-service games. Responsibilities include infrastructure-as-code, CI/CD pipeline development, cloud security, live-service support, monitoring, debugging, and automating development environments for multiple teams. The role requires Microsoft Azure experience, scripting, containerization, orchestration, game packaging and deployment knowledge, and experience compiling code or managing build pipelines.

Leads the engineering, administration, governance, security, and continuous improvement of the global Microsoft 365 platform. Owns SharePoint Online, Teams, Exchange Online, OneDrive, Entra ID, Intune, IAM, endpoint management, automation, platform monitoring, incident response, and security controls. Serves as the Tier 3 technical authority, develops PowerShell and Microsoft Graph automation, manages migrations and integrations, maintains architecture documentation, and drives adoption of new Microsoft capabilities.

Build, automate, deploy, monitor, and support secure AWS cloud infrastructure for a blood establishment platform. Develop Terraform-based infrastructure as code, automation, CI/CD pipelines, and observability solutions. Troubleshoot incidents, conduct root-cause analysis, manage infrastructure lifecycles, and improve reliability, scalability, security, and cost efficiency. Collaborate with development, security, infrastructure, support, and vendor teams while documenting standards and participating in on-call support.

Develop and maintain enterprise applications using Microsoft Dynamics 365, Power Pages, Power Platform, Dataverse, Node.js, and RESTful APIs. Responsibilities include requirements analysis, solution design, coding, testing, deployment, CI/CD support, troubleshooting, documentation, code reviews, and Agile collaboration. The developer will support production systems, contribute to application security and performance, mentor junior developers, and use AI-assisted development tools appropriately.

Designs, develops, migrates, and maintains secure enterprise applications within the Microsoft Power Platform and Army 365 ecosystem. Builds workflow automation and user-provisioning solutions using Dataverse, SharePoint, custom connectors, and cloud flows. Leads security and compliance architecture in an IL-5 environment, using Microsoft Purview and Entra ID governance. Establishes governance frameworks, supports Agile delivery, documents technical solutions, and collaborates with cross-functional teams.

Design, operate, and improve highly scalable hybrid multi-cloud Kubernetes platforms supporting business-critical systems. Responsibilities include optimizing reliability, managing large-scale infrastructure, integrating open-source technologies, guiding Kubernetes platform evolution, and mentoring engineers. The role requires expertise with Kubernetes clusters containing thousands of nodes, observability tools, Golang, Linux, AWS, GCP, OCI, custom data centers, and on-call operations. Candidates must be eligible for CJIS clearance and periodically complete government-required background and fingerprint checks.

Lead the architecture, deployment, configuration, and sustainment of an Azure and Kubernetes-based Software Factory for the US Space Force. Manage DevSecOps tools, IaC and CI/CD pipelines, Linux infrastructure, security requirements, monitoring, patching, upgrades, and vulnerability remediation. Provide technical leadership, coach DevSecOps and application teams, onboard users, establish platform standards, and advance secure software delivery practices. Travel is required up to 25%.

Build, operate, and evolve Lantern’s cloud infrastructure and engineering platform. Responsibilities include managing GCP infrastructure, Terraform-based infrastructure as code, CI/CD, observability, databases, security, automation, developer tooling, reliability, and incident response. The role partners with product engineers to improve deployment safety and developer experience, participates in an on-call rotation, and supports production systems across networking, IAM, secrets, monitoring, and cloud-native services.

Architect and operate Affirm’s large-scale Amazon EKS compute platform, including cluster lifecycle, node management, autoscaling, shared components, infrastructure automation, workload safety policies, observability, cost and capacity optimization, and self-service workflows. The role drives technical strategy, mentors engineers, partners cross-functionally, and participates in on-call incident response.

Design, build, operate, and support backend services powering an enterprise AI platform. Responsibilities include developing APIs, gateways, orchestration, tenancy, entitlements, metering, integrations, governed data access, and distributed platform capabilities. The engineer owns services across design, implementation, testing, deployment, monitoring, reliability, and support while addressing failure modes, consistency, idempotency, and scalability.

Lead the design, security, scaling, and reliability of AWS EKS-based CI/CD and SaaS infrastructure. Build and maintain production Kubernetes clusters, GitHub Actions runner platforms, Terraform and Helm automation, container pipelines, hybrid AWS-Nutanix networking, observability, and cybersecurity controls. Participate in on-call support and incident response while influencing platform architecture and technical strategy.

Owns enterprise Azure DevOps administration, governance, security, integrations, and continuous improvement. Develops CI/CD automation, Terraform infrastructure, and scalable AWS platforms; supports Kubernetes, service mesh, observability, reliability, and developer self-service. Administers repositories, pipelines, permissions, boards, and integrations while enforcing secure DevOps practices. Partners with engineering, security, infrastructure, compliance, architecture, and business stakeholders; leads governance forums, troubleshoots platform issues, and documents standards and operating procedures.

Develop and deliver Power Apps, Power Automate, Power BI, data visualization, and Microsoft 365 solutions for an Army customer. Engage customers to define requirements, manage expectations, document technical solutions, conduct user acceptance testing, create training resources, and provide project status updates. Build model-driven and canvas applications, automate business processes, support data modeling and visualization, and maintain integrations across the Power Platform ecosystem.