Top Hybrid DevOps & Platform Engineering Jobs in Boston, MA

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.

As a Staff Site Reliability Engineer, you'll oversee Zscaler production data center services, optimize code, and ensure cloud service availability and performance. Collaborate with cross-functional teams to improve processes and resolve escalated issues.

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.

Design, implement, and maintain scalable, secure cloud infrastructure with emphasis on AWS, Kubernetes, and Terraform. Build and operate CI/CD pipelines, automate provisioning/configuration, monitor performance, troubleshoot incidents, participate in on-call rotations, create runbooks and documentation, and collaborate cross-functionally to meet application and business requirements.

Design, develop, and deploy scalable cloud-native applications in Python. Build and maintain infrastructure-as-code, CI/CD pipelines, Kubernetes/Helm deployments, and ensure security compliance. Collaborate with engineers and data scientists to produce maintainable, modular software for DoD customers.