Top Platform Engineer Jobs in Boston, MA

Designs and operates ServiceNow platform services and developer productivity tooling, embedding automation, CI/CD, container/runtime capabilities, security, and observability. Leads migrations, upgrades, incident response, and platform hardening. Automates provisioning, configuration, and compliance validations, documents standards and runbooks, mentors engineers, and supports critical escalations to improve reliability and developer experience.

Provide 3rd-level support and engineering for end-user computing and mobility across corporate and retail. Design and document setup, installation, patching, and support processes. Test and deploy solutions (Intune, Autopilot, AVD, endpoint management), troubleshoot systems, analyze data for service improvement, collaborate with architecture and supplier partners, and drive continual service delivery enhancements.

Lead development and delivery of Workday solutions across HCM, Recruiting, Compensation, Payroll and Benefits. Design and build complex Workday integrations and automation using web services (SOAP/REST), WSDL, XML, XSLT and Workday Studio. Provide technical leadership, code reviews, unit testing, and coach a team of integrators/configurators while partnering with product owners and HR stakeholders to optimize processes and platform performance.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

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.

Automate cloud infrastructure as code, build developer tooling, administer Kubernetes and platform services, improve CI/CD and observability, collaborate with product teams, run on-call rotation and manage incident runbooks to ensure platform reliability and developer productivity.

The Senior Platform Engineer will develop and support Workday solutions, collaborate with various teams, and enhance human resource technologies for Capital One.

Lead cross-team data platform initiatives focused on the Data Lake. Drive architecture and roadmaps for lakehouse storage, compute, orchestration, modeled data layers, and operational automation. Own large, complex programs end-to-end, make high-judgment architectural decisions, establish standards and paved paths, respond to incidents, and mentor senior engineers while aligning stakeholders across engineering, product, analytics, and AI/ML.

Join the Search Platform team to design, implement, test, and deploy performant search and data-access features. Collaborate with product, data analysts, and engineers, run experiments, iterate rapidly, and provide production support for mission-critical applications serving millions of users.

Design, build, and operate foundational platform services to improve availability, scalability, latency, and efficiency. Enable product teams via platform primitives (infra, databases, queuing), leverage Python, Go, AWS, Kubernetes, and Terraform, and mentor engineers to deliver resilient, scalable systems and improved developer experience.

Responsible for designing, building, and operating Azure platform capabilities. Collaborate with teams to enhance platform services and implement automation solutions, ensuring secure and compliant workloads.

The Cloud Platform Engineer will lead the delivery of the Flyways AI Platform, deploying, maintaining, and scaling secure cloud infrastructure while collaborating on coding software solutions with product engineers.

Design, build, and operate platform systems powering CI/CD, deployment automation, Kubernetes infrastructure, and internal tooling. Develop backend platform APIs (.NET/Python), integrate enterprise workflows, improve observability (Dynatrace, ELK), build an Angular self-service portal, participate in on-call rotations, embed AI into developer workflows, and mentor engineers to improve platform reliability and scalability.

As a DevOps Engineer, oversee infrastructure for AI systems, manage Kubernetes clusters, GitOps pipelines, deployment strategies, security posture, and platform reliability. Collaborate with feature teams to enhance developer experience and manage infrastructure costs.

As a Senior Software Engineer at Klaviyo, you will design and scale AI backend systems, collaborate with ML engineers, and optimize customer experience through innovative technology.

Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.

Lead Salesforce and billing platform engineering with an emphasis on AI-driven automation. Build scalable Salesforce solutions (Apex, Flow, LWC), pilot LLM/agent workflows, modernize CI/CD and test automation, support Quote-to-Cash and billing processes, collaborate across product and finance, drive technical debt reduction, and mentor junior engineers.

The Staff Simulation Platform Engineer will design and build simulation infrastructure, enhance scenario-based validation for autonomy systems, and modernize toolchains, while providing technical leadership to the team.

Build, configure, test, and optimize Adobe Journey Optimizer journeys and multichannel customer experiences. Implement audiences, decision rules, event triggers, integrations, APIs, webhooks, and data pipelines across Adobe and third-party systems. Perform QA, troubleshooting, deployment, monitoring, and performance optimization for B2B and B2C campaigns. Collaborate with architects, analysts, and marketing stakeholders while documenting reusable libraries and maintaining security and data privacy practices.

Own and operate Anthropic's endpoint platform: manage MDM as a production service, author configuration-as-code, build zero-touch provisioning and patching automation, run fleet software distribution and telemetry, partner on endpoint security and compliance, and serve as deep escalation for endpoint issues.

Build and own the clinical imaging viewer and annotation platform used by radiologists: implement volume and stack rendering, progressive HTJ2K loading, DICOM geometry correctness, 3D mask storage, AI-assisted segmentation tools, annotation state machines and agreement scoring, schema gating, versioned model mask contracts, and secure FastAPI backend with HIPAA-compliant access controls and cohort isolation.

Design, build, and operate Kubernetes-based compute orchestration and developer tooling. Deliver new compute capabilities, automate operations and observability, integrate AI into workflows, and partner with Security and Reliability to ensure platform scalability, performance, and incident response.

Lead design and implementation of the PSA Liquidity Platform connecting buyers and sellers. Build buyer tooling, matching/ranking engines, and seller experiences. Architect and operate microservices and Kafka-driven systems on Kubernetes/AWS, instrument observability, apply AI tooling across the SDLC, and drive cross-functional delivery from 0-to-1 while owning end-to-end outcomes.

Senior Windows-focused Platform Engineer responsible for administering Windows server environments, supporting IBM FileNet/DataCap/BAW/ICN applications, ensuring security and performance, implementing monitoring, troubleshooting production issues, documenting systems, and collaborating with internal teams and clients to improve platform stability and processes.

Design, deploy, and operate enterprise-grade Red Hat OpenShift clusters across on-prem and cloud. Automate lifecycle with IaC and GitOps, secure and harden platforms, enable developer self-service and CI/CD, implement observability, backup and DR, manage networking and storage, plan upgrades, and mentor junior engineers.