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

Design and operate scalable cloud, Kubernetes, networking, CI/CD, automation, observability, security, and reliability solutions. Lead complex troubleshooting, incident response, root-cause analysis, disaster recovery, data platform integration, and infrastructure improvements. Mentor engineers, establish technical standards, reduce technical debt, and partner cross-functionally to improve developer productivity, platform resilience, and release stability. Participate in rotating on-call coverage for production systems.

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 optimize enterprise-scale CI/CD pipelines and IaC for macOS applications. Improve developer self-service, implement monitoring and automated remediation, collaborate with teams to establish CI/CD best practices and reliability engineering.

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.

Own and evolve AWS infrastructure powering a multi-tenant SaaS platform, including EKS, VPC, IAM, RDS, Terraform, Helm, and CI/CD. Lead infrastructure projects, improve reliability and developer self-service, manage SLOs, reduce toil, support SOC 2 compliance, mentor engineers, and participate in incident response. Collaborate with Product teams on reliable customer launches and use observability tools to monitor platform performance.

Own the reliability, performance, architecture, and lifecycle of heterogeneous database platforms. Design and operate relational, NoSQL, caching, time-series, and warehouse systems; improve provisioning, developer tooling, CI/CD, backups, disaster recovery, security, and performance. Influence architecture and product decisions, lead migrations and upgrades, troubleshoot developer and production environments, and establish platform standards, documentation, and regulatory traceability.

Own Headway’s cloud platform and infrastructure engineering strategy. Lead deployment isolation, container orchestration, AWS networking and compute, autoscaling, capacity planning, Terraform self-service infrastructure, cloud cost attribution, and Python runtime performance. Build reliable paved-road tooling that enables engineering teams to deploy safely and independently while improving scalability, observability, and operational resilience.

Lead DevOps and SRE initiatives focused on Azure SQL Elastic Pools, cloud infrastructure reliability, observability, automation, high availability, disaster recovery, and incident response. Manage scalable Azure or AWS environments, build infrastructure as code and CI/CD pipelines, optimize performance and costs, develop monitoring and remediation solutions, and mentor junior engineers while partnering across development, security, and database teams.

Design, operate, and scale SailPoint’s AWS-based Kubernetes infrastructure and service mesh for a global, mission-critical SaaS platform. Responsibilities include cluster architecture, networking, security, GitOps, CI/CD, observability, capacity planning, incident response, compliance, and platform standards. The role influences engineering teams globally, participates in 24x7 on-call support, leads service mesh strategy, and improves reliability, performance, deployment efficiency, and operational practices.

Designs, implements, and manages AWS infrastructure and Infrastructure as Code automation. Partners with application engineering, quality, security, and compliance teams to deliver reliable platform solutions. Owns platform stability, observability, incident response, security best practices, and zero-downtime deployments. Participates in on-call rotations, uses metrics for decision-making, and supports application architecture decisions while continuously improving DevOps processes and automation.