Top Platform Engineer Jobs in Boston, MA

Designs and operates scalable platform infrastructure across cloud, on-premise, and hybrid environments. Builds infrastructure-as-code frameworks, CI/CD pipelines, developer tooling, automation, observability, and secure deployment patterns. Partners with engineering, security, and infrastructure teams to improve reliability, resilience, compliance, and developer productivity across mission-critical systems.

Build, operate, and evolve AWS cloud infrastructure supporting a high-growth financial and hospitality technology platform. Responsibilities include infrastructure architecture, deployment pipelines, reliability engineering, incident response, observability, security, governance, capacity planning, migrations, and on-call support. The role partners with application engineers, implements infrastructure changes, and improves operational standards and scalability.

Build, monitor, and scale resilient cloud infrastructure across multi-region and multi-cloud environments. Develop Kubernetes controllers and infrastructure tools using Go, Python, Ruby, and Terraform; maintain Datadog observability; diagnose complex production performance and reliability issues; automate failover and capacity management; and collaborate with engineering teams on architecture and infrastructure improvements.

Build and operate secure, scalable AWS and Kubernetes infrastructure using Terraform. Manage IAM, access controls, CI/CD automation, monitoring, backups, logging, compliance guardrails, and reliability tooling. Collaborate across platform, product, and data science teams, troubleshoot distributed systems, participate in incident response and audits, and improve platform reliability, performance, cost efficiency, and developer experience.

Lead platform engineering initiatives and provide architectural direction for internal developer platforms, build systems, CI/CD pipelines, release automation, and cloud-native infrastructure. Improve software delivery through automation and AI-enabled engineering capabilities while ensuring scalability, reliability, security, and maintainability. Evaluate technologies, collaborate across teams, mentor engineers, and guide technical decisions.

Build and maintain platform tools, infrastructure, and automation that enable reliable software delivery at scale. Develop C# and .NET Core solutions, manage Kubernetes environments, implement Helm and GitOps deployment practices, and support distributed microservice systems. Troubleshoot complex infrastructure issues, improve observability and performance, collaborate with engineering teams, conduct code reviews, and mentor engineers.

Design, build, and maintain mission-critical data and analytics infrastructure on AWS. Develop high-quality code, create system infrastructure, operate distributed systems in production, and contribute to technical design. Review designs and code, establish engineering best practices, and mentor engineers across the organization. Work with large-scale data processing, storage, OLTP and OLAP databases, and real-time analytics systems.

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 scale the nRF Cloud backend platform supporting millions of IoT devices. Design, ship, monitor, and operate production systems across infrastructure, databases, performance, reliability, and security. Responsibilities include writing production code, managing Kubernetes and AWS workloads, improving observability, responding to incidents, leading postmortems, documenting technical decisions, and partnering with Product, SDK, Field Engineering, and Support.

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.

Build reusable backend platforms and developer-facing tooling for performance testing, analysis, reporting, and AI-assisted engineering workflows. Enable service teams to independently incorporate performance testing into development and CI workflows through self-service capabilities, documentation, templates, diagnostics, and guidance. Partner with engineering teams, influence adoption, generalize solutions, and provide expertise on complex performance challenges.

Own and improve production cloud infrastructure on AWS using OpenTofu and Terragrunt. Manage Jenkins CI/CD pipelines, develop Python or Bash automation, maintain Dockerized services, extend Datadog monitoring, and participate in on-call operations, code reviews, sprint ceremonies, and engineer onboarding. The role offers end-to-end ownership of infrastructure components and growth toward senior platform engineering.

Design, build, operate, and scale GitLab Orbit backend services in Rust across distributed cloud-native environments. Improve Kubernetes deployments, infrastructure automation, observability, reliability, incident readiness, multi-tenant isolation, data workflows, graph query capabilities, indexing pipelines, cloud storage integrations, and API/MCP surfaces. Own technical designs through rollout while collaborating asynchronously with infrastructure, security, AI, data, delivery, and SRE teams.

Designs, builds, automates, and manages secure, scalable cloud platforms. Responsibilities include developing platform services, APIs, self-service capabilities, CI/CD pipelines, IAM solutions, infrastructure automation, observability, and security controls. The role supports reliability, incident management, troubleshooting, modernization, documentation, and collaboration across development, security, architecture, and operations teams.

Develop and implement Microsoft Power Platform solutions across discovery, design, development, testing, deployment, training, and support. Build Canvas and model-driven Power Apps, automate processes with Power Automate, and deliver Power BI, SharePoint, Dataverse, Fabric, and data integration solutions. Serve as a technical SME, establish implementation standards, manage governance and security, collaborate with stakeholders and QA teams, resolve production issues, and present solutions to technical and executive audiences.

Volunteer senior developer to design, build, and maintain a cross-platform medical scheduling app (web, iOS, Android). Participate across the full development lifecycle: design, coding, testing, CI, deployments, code reviews, production support, incident management, and platform architecture. Attend weekly standups and commit at least four hours per week.

Build, administer, and optimize enterprise Databricks data platforms in Azure. Responsibilities include platform operations, Terraform-based infrastructure automation, data ingestion enablement, governance through Unity Catalog, access controls, monitoring, troubleshooting, incident response, and reliability improvements. The role partners with data engineers, architects, analysts, infrastructure, and security teams to support scalable production analytics and data workloads.

Own and evolve a secure, cloud-native internal developer platform for a federal health mission. Responsibilities include Terraform and GitOps foundations, multi-tenant Kubernetes on AWS GovCloud, self-service onboarding, MLOps/AIOps, data lakehouse enablement, observability, security automation, compliance artifacts, documentation, and stakeholder partnership. The role requires senior ownership of production platforms and offers opportunities for technical leadership.

Own and improve Snowflake platform operations across development, test, and production environments. Responsibilities include security and access governance, reliability engineering, monitoring, incident response, recovery procedures, consumption and cost optimization, change management, automated testing, and controlled releases. The role partners with Data Engineering, Security, Identity, AWS, and commercial technology teams while documenting processes and building reusable automation.

Supports development of Microsoft Power Platform solutions, including Power Apps applications, Power Automate workflows, Power BI dashboards, and SharePoint integrations. Collaborates with stakeholders to automate business processes, manage and validate data, test and deploy solutions, document functionality, and provide customer support. Works with Microsoft 365, Dataverse, Excel, SQL databases, and Agile project teams.

Designs and manages cloud infrastructure platforms using infrastructure as code, Kubernetes, CI/CD, and multi-cloud technologies. Responsibilities include improving developer experience and DevSecOps maturity, troubleshooting and optimizing platform reliability, implementing zero-downtime maintenance, automating processes, integrating security controls, documenting technical systems, and mentoring engineers. The role also drives scalability, cost optimization, availability, and continuous delivery across Reltio’s cloud services.

Develops Power Platform and Blazor Hybrid applications throughout the software development lifecycle. Translates business requirements into scalable Dataverse, Power Apps, Power Automate, .NET, C#, and MAUI solutions; builds REST integrations, authentication, security, automation, and data models. Provides technical guidance, documentation, presentations, and ongoing support while applying secure coding and AI-assisted development practices.

Owns the reliability of enterprise platforms supporting engineering and business workflows. Responsibilities include diagnosing cross-domain infrastructure issues, automating operational tasks, implementing platform upgrades and integrations, reducing technical debt, improving incident response, and supporting servers, storage, networking, virtualization, backup, and recovery environments. The role also translates business workflows into technical solutions, participates in on-call rotations, and works onsite in Maynard, Massachusetts at least three days weekly.

Owns the Databricks platform across environments, including administration, architecture, identity and access, Unity Catalog, networking, security, governance, cost controls, automation, and CI/CD. Advises technical and business teams on scalable platform design, evaluates emerging Databricks capabilities, and partners with infrastructure and security teams. The role requires production Databricks expertise, Terraform proficiency, cloud networking knowledge, strong communication, and architectural judgment.

Build and maintain backend infrastructure and member-facing generative AI features that deliver personalized health and performance insights. Collaborate with Product, Design, Analytics, and Data Science teams to define requirements and deliver scalable solutions. Develop reliable software using Java, Kafka, AWS, and PostgreSQL; design RESTful APIs and relational databases; optimize performance; and maintain observability and monitoring systems.