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

The Senior DevOps Engineer will establish CI/CD infrastructure for embedded systems, manage deployment environments, and support software development teams with automation and testing frameworks.

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.

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.

Deploy, configure, and optimize molecular modeling and informatics applications in customer cloud/HPC environments. Provide technical solutions, maintain scientific computing resources, support installations and integrations, troubleshoot production issues, and collaborate with product managers, scientists, and developers.

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.

Lead full stack application migrations to AWS, architect solutions, mentor teams, and drive AI-native engineering strategy while ensuring cloud readiness and modernization.

Lead the CloudOps team to enhance internal platforms and developer experience, modernize legacy systems, and collaborate on tool improvement for reliable software deployment on AWS.

Design, build, and maintain reliable infrastructure for Yext's SaaS platform, collaborating with engineering teams to enhance performance, security, and operational efficiency.

As a Manager of Cloud Software Engineering at Coupa, you will lead AI platform DevOps, manage global teams, and oversee agile delivery while ensuring technical quality and innovation.

Build automated reliability and self-healing platform tooling to protect production at scale. Improve incident management, reduce alert noise, evolve observability (monitoring, SLOs, performance detection), and develop AI-driven operational automation. Partner with product teams to diagnose reliability gaps, drive incident prevention, and champion operational excellence and best practices across engineering.