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

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.

Lead design and implementation of AWS-based infrastructure and CI/CD for a secure, scalable clinical data platform. Build IaC, automate releases and testing, operationalize MLOps, mentor engineers, troubleshoot distributed production issues, and ensure observability, compliance, and disaster recovery.

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.

The role involves designing and implementing CI/CD pipelines, managing cloud environments, ensuring compliance with DoD standards, and coaching team members on DevOps practices.

The Engineering Manager for Developer Productivity will lead a remote team to enhance developer productivity, focusing on AI integration, tooling evaluation, and team development while collaborating with cross-functional partners.

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

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

As a Platform Engineer, you'll automate, secure, and scale Onebrief's platform, design and manage CI/CD pipelines, and uphold reliability and security across evolving environments.

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

Own and operate production-grade Kubernetes infrastructure on AWS, build GitOps CI/CD with GitHub Actions and ArgoCD, develop AI agents and internal DevOps tooling, maintain Datadog-based observability, and manage on-call incident response while collaborating with engineering teams to improve reliability and delivery speed.