Top Hybrid DevOps & Platform Engineering Jobs in Boston, MA

Leads and manages a platform engineering team responsible for an enterprise-scale Kubernetes platform. Oversees hiring, coaching, performance, workforce planning, vendor management, platform reliability, security, incident management, infrastructure modernization, developer self-service, and delivery of strategic technology initiatives. Provides technical guidance, establishes operational metrics, manages dependencies and technical debt, and partners with product, architecture, engineering, and executive stakeholders.

Lead the infrastructure and SRE team, setting technical direction for reliable, secure, and scalable engineering systems. Hire, coach, and develop engineers; oversee multi-cloud infrastructure, Kubernetes, IaC, CI/CD, observability, incident response, support rotations, and regulated workloads. Partner across engineering, data science, security, and operations to improve developer experience and enable safe AI-assisted software delivery. Manage infrastructure roadmaps, budgets, resourcing, documentation, and organizational reliability practices.

Designs and operates Kubernetes clusters on AWS, builds scalable and secure AI runtime infrastructure, and develops tooling for developer productivity and automated development workflows. The role improves platform reliability, supports long-running tasks on cost-efficient infrastructure, partners with application, security, and data teams, participates in incident response, and provides technical leadership and mentorship across the Platform organization.

Lead the design, automation, and scaling of global compute infrastructure across data centers, cloud, and on-prem. Operate GitOps with Rancher Fleet/Flux/Helm, build self-healing tooling, own cluster autoscaling and capacity strategy, define SLOs using Datadog, and participate in on-call rotation while mentoring peers.

Lead design, development, deployment, and support of foundational AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, and observability. Optimize large-scale AI performance (cost, latency, throughput), partner cross-functionally, and contribute to technical vision and roadmap.

Lead delivery of Oracle Cloud solutions, managing teams and client accounts. Design and implement OCI-based architectures, automate deployments, mentor staff, and ensure quality, timelines, and client satisfaction.

As a Senior Site Reliability Engineer, you'll design and build complex systems, support Atlas platform operations, automate processes, and ensure high availability of services.

Design, build, and maintain scalable AWS infrastructure and developer tooling. Enable teams to own systems, support CI/CD, observability, containers, on-call/incident management, and collaborate with SRE/security to ensure resilient, secure services.

Design, automate, and support AWS cloud infrastructure and EKS clusters using Terraform and CI/CD. Build observability, security, and platform automation, troubleshoot distributed systems, create runbooks, and collaborate with engineering and security teams to drive DevSecOps and platform modernization.

Own and automate internal IT systems: identity and access lifecycle, SaaS administration, macOS MDM, email security, JSM request portal, and AI-enabled internal tooling. Build integrations, automate workflows, enforce governance, support LLM tools, and ensure audit-ready controls while collaborating across teams.