Top Hybrid DevOps & Platform Engineering Jobs in Boston, MA

Build and maintain Bazel-based build, test, and packaging tools for a large monorepo. Improve CI performance and cost efficiency, run complex migrations, keep pipelines reliable, and contribute upstream to the Bazel ecosystem. Own projects end-to-end and collaborate with developers to improve tool usability and developer productivity.

The Cloud Reliability Engineer III designs and implements cloud services, automates operations, and collaborates with teams to enhance reliability and developer experience.

Design and deliver developer tooling, core frameworks, and templates to improve engineering productivity. Advance agentic AI tooling (Claude Code, plugins, MCP), strengthen authentication/identity (Keycloak, OAuth2/OIDC), and build/operate services on Java, Spring Boot, AWS, and Kubernetes. Define standards, improve reliability, and partner across teams to drive adoption.

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.

Design, implement, and operate cloud-native HPC and ML/AI infrastructure (AWS/GCP). Lead containerization, IaC (Terraform/CloudFormation), orchestration (Kubernetes/EKS/GKE), monitoring, and migration. Collaborate with HPC specialists to automate deployments, optimize performance, and maintain platform reliability, security, and cost efficiency.

Lead enterprise-scale cloud modernization and migration programs to AWS, design end-to-end architectures (including AI agent integration), define AI-native engineering standards, mentor engineering teams, implement IaC and CI/CD, enforce security and governance, and deliver measurable business value through technical strategy and execution.

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.