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.

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.

Build testing tools, frameworks, metrics, and standards for Cedar’s engineering teams. Improve test-suite reliability, speed, coverage, service-to-service testing, and CI/CD integration. Establish testing best practices, connect tests to product behavior, and lead quality-improvement projects from investigation through adoption. The role requires strong software development and testing expertise in Python and JavaScript/TypeScript, with experience using modern testing frameworks and measuring test performance and reliability.

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.

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.

Designs, automates, operates, and improves database and messaging platforms across on-premises, private-cloud, Kubernetes, and public-cloud environments. Builds infrastructure as code, CI/CD and GitOps workflows, observability, security automation, and self-service capabilities. Troubleshoots complex production issues, responds to incidents, supports on-call operations, and improves reliability, scalability, disaster recovery, and platform consistency. Provides technical leadership, documentation, design reviews, and mentorship.

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.

Build and maintain scalable, secure AWS infrastructure using Terraform, enhance Jenkins CI/CD pipelines, create Datadog monitoring dashboards, and automate operational tasks with Python or Bash. Work with Docker, participate in sprint ceremonies, support platform reliability, and gradually join the on-call rotation. Collaborate with senior engineers through code reviews while developing cloud, DevOps, and infrastructure automation skills.

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.

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.

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.

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.

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.

Leads the design, operation, and evolution of global Azure and multi-cloud infrastructure for enterprise SaaS platforms. Responsibilities include Infrastructure-as-Code, cloud networking, identity and governance, disaster recovery, high availability, security, automation, developer platform improvements, and operational excellence. The role provides technical leadership, mentorship, architecture guidance, and cross-functional collaboration with security, compliance, operations, and engineering teams.

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.

Build and evolve Tailscale’s customer-facing documentation platform, docs-as-code tooling, content publishing pipelines, API documentation, and search infrastructure. The role includes full-stack development, CI/CD and automated testing, platform scalability, cross-functional collaboration with engineering, product, design, research, and growth teams, and engagement with open-source contributors. The engineer will also research documentation trends and consider how LLMs consume and interact with published content.

Own and operate platform infrastructure across commercial cloud, AWS GovCloud FedRAMP High, and IL5 environments. Manage Kubernetes clusters, GitOps pipelines, networking, observability, secure infrastructure, deployment automation, and regulated customer integrations. Build repeatable environments and infrastructure supporting AI agents and large-scale government contract data. Partner directly with the CTO and deployment team while maintaining production reliability and compliance.

Engineer CI/CD pipelines, infrastructure-as-code, cloud deployment patterns, automated testing, security integrations, configuration management, and release controls. Maintain reusable automation, platform documentation, runbooks, and technical standards. Support AWS and GitLab environments, troubleshoot platform issues, improve performance, manage access, and guide development and government stakeholders. Ensure compliance with NIST, OMB/CISA guidance, STIGs, and CIS standards.

Implements and supports enterprise AI infrastructure platforms across client environments. Configures Kubernetes, workload schedulers, GPU resource governance, containers, observability, security, and related platform services. Performs discovery, deployment, integration, upgrades, troubleshooting, validation, documentation, and knowledge transfer. Collaborates with cross-functional technical teams, contributes to implementation plans and Statements of Work, manages project deliverables, and provides client-facing consulting support. Travel and occasional extended or weekend work may be required.

Lead enterprise customer deployments of Quilter’s AI-powered PCB design platform across cloud and customer-managed environments. Integrate Kubernetes, cloud infrastructure, networking, storage, access controls, and OIDC-based SSO. Troubleshoot application and infrastructure issues, create deployment automation and diagnostics, support upgrades and rollbacks, document operating procedures, and coordinate customer needs with engineering and go-to-market teams.

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.

Own the platform’s performance, security, reliability, and operational foundations. Design scalable distributed systems, secure execution and software supply chains, improve CI performance, manage observability and alerting, automate compliance evidence and cost monitoring, respond to incidents, patch vulnerabilities, and convert recurring findings into guardrails, checks, conventions, and agent workflows. Collaborate across engineering, product, security, and finance while operating production systems and evaluating AI-driven engineering risks.

Leads the infrastructure and backend engineering function supporting mobile games, analytics systems, internal products, APIs, and web services. Owns AWS architecture, reliability, security, monitoring, automation, CI/CD, cost optimization, Snowflake data infrastructure, high-volume event pipelines, backend services, game servers, and technical roadmaps. Provides hands-on architecture, implementation, code review, technical leadership, cross-functional collaboration, and end-to-end project ownership.

Owns end-to-end platform engineering work across AWS, Kubernetes, infrastructure as code, CI/CD, observability, security, and automation. The role builds reliable foundations for human and AI-agent operations, simplifies platform tooling, improves cost visibility, manages production incidents, and contributes to platform direction through hands-on implementation, design reviews, and documentation. This is a fully remote individual contributor position requiring deep cloud-native infrastructure expertise.