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.

Designs, implements, and operates multi-region cloud and hybrid networking infrastructure. Develops Terraform modules and infrastructure standards, supports AWS architectures, cloud migrations, and data center exits, and contributes to architecture reviews, compliance-aware delivery, CI/CD enablement, documentation, and observability. Collaborates with platform, security, architecture, compliance, and engineering teams to improve scalability, automation, reliability, and operational efficiency.

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.

Manage, troubleshoot, secure, and optimize government cloud and hybrid infrastructure across Azure Government, AWS GovCloud, and GCP. Responsibilities include incident and change management, compliance with government security frameworks, automation and infrastructure documentation, performance monitoring, root cause analysis, customer communication, and 24x7 on-call support. The role also involves cloud architecture guidance, operational improvements, customer service reviews, technical mentoring, and occasional travel.

Establishes and owns Bloom’s production support and incident response function. Responsibilities include implementing monitoring, supporting major incidents, coordinating responders and vendors, overseeing root cause analysis, tracking preventive actions, automating repetitive support tasks with Python or Bash, maintaining documentation, and measuring incident response effectiveness. The role also supports client-facing Operations teams with onboarding, offboarding, sandbox resets, and other technical support needs while partnering with product and engineering teams to reduce support overhead.

Lead operational reliability and platform enablement for Databricks: build monitoring, CI/CD, deployment standards, compute and job policies, observability, runbooks, and governance to support secure, cost-aware, production data workloads across regulated environments. Mentor engineers and align platform with cloud/infrastructure and compliance requirements.

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.