Top Remote Senior Level DevOps & Platform Engineering Jobs in Washington DC,

The role involves diagnosing infrastructure issues, participating in on-call rotations, improving application availability, and enhancing automation in cloud environments.

Design, build, and operate the core data warehouse, ingestion, orchestration, and cataloging platform. Develop batch and streaming pipelines, ensure data quality, governance, observability, and provide ML data platform capabilities. Lead architecture, improve platform reliability and performance, and collaborate with product, engineering, data science, security, and compliance teams.

This role involves building and maintaining observability services, ensuring service reliability, and collaborating with other teams on best practices.

The Senior Infrastructure Engineer will manage infrastructure using Terraform, Kubernetes, and ensure reliability, scalability, and security across the platform. Responsibilities include designing systems architecture, automating deployments, and direct customer engagement for deployment solutions while maintaining compliance with security standards.

The role involves building and supporting systems for software operations, improving reliability, efficiency, and security, and collaborating on infrastructure initiatives using tools like Terraform and CI/CD.

Develop and optimize the Kubernetes platform at Coinbase, enhance developer experience, and manage critical services operations while ensuring system reliability.

The Senior Site Reliability Engineer will develop, monitor, and maintain distributed production systems, ensuring uptime for patients and providers while automating processes and supporting a large engineering team.

Seeking a Senior/Staff Platform Engineer to enhance developer experience, manage infrastructure, and ensure security compliance in a healthcare tech startup.

As Sr. Platform Engineer, you will develop tools and frameworks for Aha! engineers, optimize performance, and manage AWS infrastructure.

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