Top Platform Engineer Jobs in Boston, MA

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.

Build the core AI platform for an AI-native trading experience. Develop a high-performance Rust backend supporting streaming responses, low-latency tool execution, caching, and model orchestration. Design secure, observable APIs and runtime components with authentication, authorization, rate limiting, auditing, tracing, retries, and fallbacks. Build safe trading action infrastructure with deterministic previews, confirmations, idempotency, and audit logs while partnering with product and frontend teams.

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.

Build and operate scalable AWS cloud infrastructure for GenAI investment research products. Responsibilities include managing containerized applications, developing infrastructure as code, optimizing CI/CD pipelines, monitoring reliability and security, automating operations, establishing disaster recovery and service objectives, participating in incident response, and contributing to Python/FastAPI microservices. The role collaborates across engineering, data science, and product teams and requires on-call participation.

Design, configure, develop, integrate, test, document, and sustain Salesforce CRM capabilities. The role supports data models, automation, security, APIs, reporting, identity, troubleshooting, release management, and platform governance. It translates government and business requirements into secure, accessible, maintainable solutions while collaborating with architects, cybersecurity, QA, operations, product owners, and stakeholders. The engineer also develops reusable patterns, technical documentation, test evidence, and operational runbooks for federal enterprise environments.

Owns administration, development, governance, upgrades, integrations, and support for ServiceNow and related business systems including NetSuite and Arena PLM. Builds workflows, scoped applications, automations, APIs, and system integrations; maintains data quality and CMDB integrity; supports testing and production releases; and partners with operations, service, engineering, supply chain, and finance stakeholders to deliver scalable solutions.

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.

Deploys and operates secure, scalable AWS cloud platforms across federal environments, including FedRAMP and classified workloads. Builds Kubernetes infrastructure, Terraform modules, Crossplane compositions, CI/CD workflows, automation, telemetry, documentation, and developer tooling. Evaluates technologies, improves deployment processes, manages concurrent initiatives, and supports platform reliability. Requires Go, AWS, Kubernetes, infrastructure-as-code, and federal security knowledge, along with U.S. citizenship and the ability to obtain and maintain a Top Secret clearance.

Lead a hands-on platform engineering function spanning full-stack product development, real-time Kafka and ClickHouse data/ML pipelines, cloud infrastructure, DevOps, security, and reliability. Own React, Node.js, and MongoDB applications; Terraform, Kubernetes, AWS/GCP, Docker, and GitHub Actions; production observability and incident response; and SOC 2 readiness. Establish AI-assisted engineering workflows using tools such as Claude Code and Cursor while replacing vendor-built infrastructure with durable internal automation.

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.

Own cloud infrastructure, EKS, AWS systems, CI/CD pipelines, preview environments, observability, security, and compliance. Build developer tooling and internal applications, while leading AI adoption across Engineering through agent workflows and custom solutions. Support product analytics and data science pipelines, collaborate closely with internal stakeholders, and maintain platform reliability end to end.

Develop accessible, supportable Power Platform applications and automations for a federal customer. Build Canvas and model-driven Power Apps, Power Automate flows, and Dataverse or SharePoint components. Implement validation, role-based access, error handling, auditability, notifications, integrations, and ALM practices. Participate in testing, peer reviews, release promotion, production readiness, documentation, and user support while collaborating with clients and technical teams.

Build an end-to-end marketplace platform feature with mentorship, including Java and Spring Boot REST APIs, React and TypeScript interfaces, database updates, SQL queries, testing, debugging, code reviews, CI/CD, and release activities. The intern will work with PostgreSQL, Snowflake, Jenkins, and Azure Kubernetes, then demonstrate the completed project to technical and business partners.

Lead the architecture and implementation of scalable, reliable software platforms supporting machine learning, robotics, and company operations. Own technical direction across backend services, infrastructure, internal tools, data systems, and customer-facing applications. Collaborate with robotics, hardware, and operations teams, make pragmatic architectural decisions in ambiguous environments, and build high-leverage systems that improve organizational effectiveness.

Administer and engineer enterprise observability platforms spanning infrastructure, applications, cloud resources, and telemetry. Lead technical onboarding, monitoring design, alerting, dashboards, automation, integrations, troubleshooting, capacity planning, licensing optimization, upgrades, and migrations. Establish standards and documentation, collaborate with vendors and procurement, and mentor engineers. The role requires strong systems thinking, cloud and production support experience, scripting or infrastructure-as-code expertise, and the ability to resolve complex reliability and performance issues.

Build and manage secure cloud platforms, automated deployments, infrastructure as code, Kubernetes environments, and self-service developer capabilities. Administer Linux systems, troubleshoot production services, manage accounts and documentation, and collaborate with developers to resolve issues. The role includes operational ownership, on-call support, customer collaboration, AI-augmented delivery, and up to 25% travel. U.S. citizenship and the ability to obtain a security clearance are required.

Lead operational reliability and platform enablement for Databricks: build monitoring, CI/CD, deployment standards, compute and job policies, observability, runbooks, and governance to support secure, cost-aware, production data workloads across regulated environments. Mentor engineers and align platform with cloud/infrastructure and compliance requirements.

Own and scale a multi-cloud data platform across AWS and Azure. Manage Apache Airflow, Kubernetes, Terraform, Helm, ArgoCD, CI/CD, observability, big data infrastructure, governance tooling, and FinOps initiatives. Provide end-to-end architectural and operational ownership, improve developer tooling, define platform roadmaps, manage incidents, enforce engineering standards, and mentor data platform engineers.

Develop platform software for SOCs, including drivers, BSP, CI/CD automation, OS and multimedia driver bring-up, debugging, and system-level triage. Collaborate with OEMs and global engineering teams across the full product lifecycle from pre-silicon modeling through production. Contribute to architecture definition, boot, security, reliability, resiliency, and embedded-system software for Windows and Linux platforms.