Top Platform Engineer Jobs in Boston, MA

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.

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.

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.

Owns an Agentic AI platform across CI/CD, AWS infrastructure, Kubernetes operations, observability, security, and runtime reliability. Builds delivery pipelines, automated testing and quality gates, EKS environments, infrastructure-as-code, monitoring and alerting, synthetic health checks, and runtime security testing. The role requires strong operational ownership, troubleshooting, secure supply-chain practices, audit readiness, and platform resilience in regulated or mission-focused environments.

Own Anthropic’s ChromeOS platform end to end, including device standards, Google Admin and Chrome Enterprise policies, policy-as-code automation, zero-touch enrollment, international procurement, security controls, telemetry, lifecycle management, and vendor access models. Support Android Enterprise as a second platform, collaborate with IT, Security, and procurement teams, and create runbooks for vendor programs.

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.

Develop and implement Microsoft Power Platform solutions across discovery, design, development, testing, deployment, and support. Build Canvas and Model-driven Power Apps, Power Automate workflows, data integrations, and visualizations using Dataverse, SharePoint, Power BI, and related technologies. Gather client requirements, design data models, document solutions, train users, present demonstrations, resolve production issues, and serve as a Power Platform subject matter expert while collaborating with project, QA, and client teams.

Build and operate an Azure Databricks data platform using Python frameworks, configuration-driven pipelines, CI/CD, Terraform, and infrastructure as code. Support production reliability through monitoring, incident response, root cause analysis, runbooks, disaster recovery, and automation. Maintain data security and governance with Unity Catalog, enable domain teams to onboard data sources, and improve self-service platform capabilities in a regulated healthcare environment.

Build and operate enterprise platform infrastructure across Microsoft 365 and Azure. Responsibilities include maintaining GitHub CI/CD pipelines, developing APIs and integrations, managing AI connectors, implementing identity and access controls, administering Microsoft 365 governance, strengthening cloud security, and automating operations with scripting and infrastructure-as-code. The role partners with technical and business stakeholders to deliver scalable, secure, documented solutions.

Develop and maintain Microsoft Power Platform solutions for a federal client, including Power Apps, Power Automate workflows, Power BI reporting, and SharePoint repositories. Manage records, conference requests, and SOP processes through automated intake, routing, approvals, audit trails, permissions, and reporting. Collaborate with stakeholders on requirements, demonstrations, and iterative delivery within an agile sprint model while maintaining data integrity, governance, and compliance.

Designs, operates, and improves production Kubernetes platforms across cloud environments. Manages ArgoCD GitOps workflows, Terraform infrastructure, CI/CD integrations, platform reliability, observability, security controls, and developer enablement. Collaborates with application teams to onboard services, create self-service tooling and documentation, respond to incidents, and improve platform availability and performance.