Top Hybrid DevOps & Platform Engineering Jobs in Boston, MA

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.

Lead design and implementation of LLM observability features: prototype and scale product capabilities for tracing, evaluating, and debugging generative AI systems. Work cross-functionally to influence architecture, mentor engineers, prioritize customer pain points, and drive product and engineering decisions for reliable, high-performance AI observability.

Partner with Field and Product teams to design and implement LLM observability architectures, build proofs-of-concept, produce technical collateral, and advise customers to drive adoption and product feedback.

Lead and optimize enterprise platform operations including cluster upgrades, resource tuning, automation via IaC/GitOps, and secrets/RBAC controls. Manage VMware/Nutanix/Red Hat environments, monitor SLOs/SLIs, resolve advanced incidents, mentor junior staff, and maintain documentation, capacity planning, and multi-tenant governance.

Lead and optimize enterprise platform operations including cluster upgrades, autoscaling, resource tuning, automation with IaC/GitOps, secrets and RBAC controls, and advanced incident response. Manage VMware, Nutanix, Red Hat environments, monitor SLOs/SLIs, maintain documentation/SOPs, mentor junior engineers, and drive lifecycle and multi-tenant governance.

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.

Lead design, implementation, and operation of cloud platform services to enable self-service IaC, secrets management (Vault), CI/CD maturity (GitHub Actions, Concourse), AWS provisioning, and AI infrastructure governance (Amazon Bedrock). Own delivery of platform capabilities, enforce policy-as-code (Sentinel/Semgrep), mentor engineers, participate in on-call, and collaborate cross-team to improve reliability, security, and developer experience.

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.

Lead and grow an endpoint engineering team to modernize and operate enterprise endpoint platforms for 12,500+ devices. Drive automation, application deployment, device lifecycle management, security by design, vendor/licensing management, and cross-functional partnerships to improve reliability, scalability, and employee experience.

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.