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.

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.

Design, build, and operate the core data warehouse, ingestion, orchestration, and cataloging platform. Develop batch and streaming pipelines, ensure data quality, governance, observability, and provide ML data platform capabilities. Lead architecture, improve platform reliability and performance, and collaborate with product, engineering, data science, security, and compliance teams.

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.

Administer and troubleshoot enterprise infrastructure across VMware, Windows/Linux servers, storage, networking, identity, monitoring, backup, and automation. Diagnose production incidents, improve reliability, document runbooks, coordinate hardware and data center work, support engineering and operations teams, and partner with security and network teams. The role includes scheduled maintenance, on-call rotation, user support, occasional remote-site assistance, and periodic travel.

Owner of the platform and DevSecOps tooling: build reusable serverless AWS infrastructure, improve CI/CD and developer experience, integrate security tooling (SAST/DAST/SCA/container scans), harden AWS environment for security and compliance, and run observability and remediation workflows.

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.

Build and modernize SBGrid’s scientific software platform across Linux and macOS. Responsibilities include designing CI/CD pipelines, developing automated tests, creating reproducible packages and deterministic builds, tracking dependencies and artifacts, hardening runtime systems, improving observability, and strengthening software supply-chain integrity. The role involves substantial platform engineering and development work, with opportunities to support HPC, containers, infrastructure automation, and scientific research software ecosystems.

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.

As a Staff Software Engineer, you will enhance platform engineering by improving deployment strategies and developer experiences, establishing reliable systems and mentorship across teams.

Build SDKs, self-service apps, and reusable abstractions for Coinbase's data platform. Develop data integration and processing tools, enable observability and security (cataloging, lineage, access controls), and collaborate with analysts, data scientists, and engineers to scale and operationalize data pipelines and models.

Design, implement, and maintain scalable hybrid multi-cloud Kubernetes platforms at massive scale. Ensure high reliability, integrate open-source observability tools, provide technical direction, operate large Linux environments across cloud and data centers, handle on-call duties, and mentor junior engineers.

As a Senior Software Engineer on the Data Platform team, you'll enhance the data infrastructure, develop ETL pipelines, maintain data quality, collaborate across teams, and mentor junior engineers.

Lead design and delivery of backend-focused full-stack features for the Business Platform. Build APIs, data models, and reliable parsers, ensure secure resilient systems, mentor engineers, drive estimates and quality, collaborate with Growth on data-driven features, and integrate AI tooling into development workflows.

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.

Lead design, build, deployment, and operation of highly resilient, high-throughput configuration and publishing systems. Define long-term architecture and strategy, mentor senior engineers, diagnose and fix performance bottlenecks, and leverage AI tools to improve engineering productivity and platform capabilities.

Own performance optimization, reliability, observability, capacity modeling, and automated failover for Coinbase’s blockchain node infrastructure. Diagnose resource bottlenecks, reduce infrastructure costs, define SLOs and SLIs, support protocol upgrades, and improve node performance across distributed systems at scale. Collaborate with protocol integration, wallet, and indexer teams while applying backend programming and systems profiling expertise.