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 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.

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.

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.

Own and evolve BYOC deployment infrastructure for Archie across customer environments. Build and operate Kubernetes-based systems across multiple clouds, develop Helm and GitOps deployment tooling, implement secure updates for restricted networks, and improve reliability, observability, and production operations. Collaborate with product, research, and forward-deployed engineering teams to translate requirements into scalable platform capabilities.

Lead the design, development, reliability, scalability, and operational excellence of Humana’s Next Best Action platform. Build platform services, automated testing, observability, resilience, and production-readiness capabilities across distributed systems. Write production code, manage and mentor engineers and contractors, establish quality standards, and coordinate with platform, data, decisioning, orchestration, and activation teams. Ensure high performance, traceability, fault tolerance, and compliance in a regulated healthcare environment.

Lead the architecture, security, and operation of Maestro’s multi-tenant AI platform on private GKE. Build Kubernetes operators, isolated per-user runtimes, identity and credential systems, service-mesh security, Terraform infrastructure, CI/CD, observability, audit pipelines, fleet operations, and human approval guardrails. Partner on safe agent integrations, establish platform and security standards, mentor engineers, and guide infrastructure strategy as the system scales.

Build and operate an AI-native platform spanning Kubernetes, infrastructure as code, CI/CD, identity, networking, security, compliance, observability, and cost management. Develop reusable platform modules, delivery pipelines, policy gates, isolated client environments, and AI development tooling. Lead through hands-on engineering, architecture decisions, design reviews, migrations, documentation, and developer enablement while ensuring reliability, security, and measurable developer outcomes.

Leads platform reliability engineering for the MANTL application, investigating complex failures, improving observability, performance, resilience, and deployment systems. Owns reliability risk roadmaps, monitoring, distributed tracing, CI/CD architecture, Kubernetes troubleshooting, fault-injection testing, SLOs and SLIs. Sets technical direction, establishes standards, mentors engineers, documents remediation practices, and serves as the senior escalation point for cross-functional reliability issues.

Build and operate a multi-tenant platform encompassing Kubernetes infrastructure, infrastructure-as-code, shared CI/CD pipelines, security and compliance controls, observability, identity, networking, and cost visibility. Establish reusable platform standards, enforce software supply-chain security, support AI development environments, and drive adoption across product teams. Provide technical leadership through architecture decisions, proof of concepts, code reviews, documentation, and migration support.

Leads platform architecture and hands-on infrastructure engineering across multi-tenant Kubernetes, infrastructure as code, CI/CD, cloud identity, security compliance, observability, and AI development environments. Designs scalable runtime, networking, identity, policy, and delivery systems while enforcing isolation and auditability. Owns strategic architecture decisions, reliability and security evidence, developer outcomes, and technical mentorship.