Top Remote Senior Level DevOps & Platform Engineering Jobs in Boston, MA

The DevOps Engineer will manage build and deployment automation, improve platform health, and develop self-service tools while ensuring robust DevOps practices with AWS.

Lead enterprise and hybrid cloud architecture strategy and governance. Define reference architectures, hybrid cloud roadmaps, and guardrails. Guide Nutanix private cloud integration, evaluate Azure/AWS/GCP services, enable self-service platforms, mentor architects and engineers, and support executive decision-making to deliver secure, resilient, and scalable platform solutions.

Establishes and owns Bloom’s production support and incident response function. Responsibilities include implementing monitoring, supporting major incidents, coordinating responders and vendors, overseeing root cause analysis, tracking preventive actions, automating repetitive support tasks with Python or Bash, maintaining documentation, and measuring incident response effectiveness. The role also supports client-facing Operations teams with onboarding, offboarding, sandbox resets, and other technical support needs while partnering with product and engineering teams to reduce support overhead.

Design and scale distributed, high-availability systems and platform architectures. Define frameworks, tooling, and standards, contribute hands-on to prototypes and production, guide teams on reliability, observability, and operational excellence, and align technical decisions with product and business priorities.

Design, deploy, and operate enterprise network infrastructure across data centers and cloud (GCP, AWS, Azure). Manage VPCs, VPNs, BGP, F5 BIG-IP, hybrid connectivity, and observability. Build IaC and automation with Terraform, GitLab CI/CD, and Ansible. Maintain monitoring, documentation, and participate in on-call support for critical incidents.

The Director of Engineering will lead platform engineering strategy and teams, enhancing developer experience, driving AI integration, and establishing governance for development practices.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

Lead and architect enterprise Kubernetes platforms (EKS/GKE), automate resource management and scaling (Karpenter, ScaleOps), implement IaC and CI/CD, apply FinOps to optimize cost, improve observability, mentor engineers, and drive platform resilience and operational excellence.

The Senior Infrastructure Engineer will improve system reliability and efficiency, develop standards and tooling, and collaborate with engineering teams to optimize workflows and cloud infrastructure.

Lead Technical Operations for an AWS-native, HIPAA/CMS-regulated platform: own DevOps, security/compliance (SOC2/HIPAA), IT, observability, incident response, and AI-enabled automation. Build policies, tooling, and a small team; partner with engineering and product; drive uptime, MTTR, deployment frequency, and audit readiness.