Top Hybrid DevOps & Platform Engineering Jobs in Boston, MA

The Software Engineer, Infrastructure will design, build, and operate core platform services while ensuring reliability, security, and efficiency through collaboration with various teams and improving developer experience.

Lead a small platform engineering team to design, build, and operate a Kubernetes-based PaaS on AWS EKS. Combine people leadership (1:1s, planning, coaching) with hands-on work: autoscaling, EKS upgrades, controller/operator patterns, IaC (Terraform/Helm/ArgoCD), observability, security policies, service discovery/mesh, and piloting AI-assisted support to improve developer experience and platform reliability.

Design and scale high-traffic services, resolve production incidents, deploy features (using feature flags), plan team projects, and improve service performance and architecture at large scale.

The Cloud Engineer will develop and maintain cloud infrastructure, oversee deployment of cloud services, and ensure compliance with security guidelines. Candidates should possess strong communication skills and be eager to learn new technologies. Experience with AWS, Azure, GCP, Terraform, and Agile development is required.

As a Senior Software Engineer II (DevOps), you will design and operate cloud infrastructure, build AI/ML infrastructure, enforce infrastructure-as-code standards, and improve developer experience while coordinating across teams and handling compliance in a regulated environment.

Design, architect, and operate secure cloud infrastructure (primarily Azure) at scale. Lead Kubernetes implementations and platform reliability, mentor junior engineers, troubleshoot and perform root-cause analysis, and drive cloud infrastructure projects from requirements through technical execution.

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

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.