Top Remote Senior Level 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.

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, 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.

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.

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.

The Senior Infrastructure Engineer will design, build, and operate crucial cloud infrastructure and developer tools, focusing on observability, reliability, and performance in a high-velocity software environment.

Lead the Orchestration Services team, managing engineering projects and guiding team members, while ensuring reliable, scalable data processing systems.

Lead and grow the India engineering team (initially 5 engineers) across product, SRE, and InfoSec; own technical roadmap, drive scalable secure systems, mentor and hire, partner with US product and data teams, and implement engineering best practices for reliability and incident response.

Design, build, and operate cloud-native, device-agnostic distributed systems using Go. Own architecture decisions, mentor engineers, promote testing and clean code, diagnose production issues, collaborate on roadmaps, and work with SRE to automate and improve reliability.

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