Top Senior Site Reliability Engineer 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.

Lead development of AI-assisted reliability tooling, own incident response end-to-end, improve observability and SLO/SLI frameworks, scale single-tenant SaaS operations, mentor engineers, and reduce recurring operational toil through engineering and automation.

The Senior Site Reliability Engineer will develop and support distributed storage services, ensuring reliability and operational safety, with a focus on automation and efficiency.

Build, automate, and maintain cloud infrastructure and CI/CD for Openly's insurance platform. Implement IaC, monitoring, and security best practices; lead incident response and postmortems; reduce operational toil through tooling and automation; influence architecture and deployment decisions.

Maintain and improve multi-cloud Kubernetes infrastructure, CI/CD (Argo Workflows/ArgoCD), observability, and networking. Build reliable continuous deployment tooling and onboarding flows, provide internal support, collaborate across Platform Engineering, contribute upstream (open-source/operators), and participate in a 24/7 on-call rotation to resolve deployment infrastructure issues.

Operate and maintain AWS-hosted MERN applications and large-scale data workflows. Manage serverless and Spark-based pipelines, perform incident response and on-call duties, engineer automation to eliminate operational toil, ensure HIPAA/SOC2/HITRUST compliance, build observability and lead blameless post-mortems.

Lead the design, automation, and scaling of global compute infrastructure across data centers, cloud, and on-prem. Operate GitOps with Rancher Fleet/Flux/Helm, build self-healing tooling, own cluster autoscaling and capacity strategy, define SLOs using Datadog, and participate in on-call rotation while mentoring peers.

Develop and maintain Kubernetes runtime environments, support developers, resolve critical issues, and participate in on-call rotations for production systems.

Ensure stability and resilience of Runpod's distributed AI platform by defining SLIs/SLOs, leading incident response, building observability and reliability tooling, automating operational workflows, and partnering with engineering teams to reduce toil and improve production readiness.

Lead observability and reliability efforts: mentor teams on SLIs/SLOs, maintain triage/remediation workflows, perform incident response, debug production systems, and design core infrastructure and tooling for engineering teams.

This internship role focuses on SRE skills, requiring collaboration and problem-solving in dynamic environments for Zscaler's Zero Trust Exchange team.

As a Cloud Cost Utilization SRE at GitLab, you'll manage cloud spending, improve tracking and optimization of cloud usage, and collaborate with finance and engineering teams to enhance cost efficiency across AWS and GCP.

The Site Reliability Engineer II will enhance infrastructure and software reliability, write efficient code, collaborate across teams, and maintain platforms and monitoring tools.

The Senior Technology Site Reliability Engineer is responsible for maintaining and optimizing infrastructure and applications, ensuring reliability and performance while automating processes and collaborating with teams.

The Site Reliability Engineer will build and deploy Linux servers, research technologies, monitor system performance, and resolve technical incidents.

As a Site Reliability Engineer II, you'll automate tasks, monitor AI workloads, enhance dashboards, support CI/CD processes, and collaborate with engineering teams on complex issues while participating in on-call rotations.

The Senior Site Reliability Engineer will lead security design and implementation for cloud infrastructures, mentor teams, and automate security solutions.

Work as an SRE embedded with product teams to improve reliability by fixing application code (primarily TypeScript), building observability (Prometheus, Loki, Grafana, Alloy), defining SLIs/SLOs, leading incident response and postmortems, automating toil, and supporting deployments across on‑prem DoD and AWS environments.

Lead integration, maintenance, and automation of heterogeneous hardware and software control systems for quantum computers. Manage networked lab infrastructure, CI/CD pipelines, observability, and provisioning. Support incident response, testing, and orchestration, collaborating with software, hardware, and test teams to ensure reliability and operational readiness of development and production environments.

Design, develop, test, and operate scalable infrastructure and services for Akamai Cloud. Implement and manage Infrastructure-as-Code (Terraform and similar tools), CI/CD, and observability. Automate reliability improvements, mentor engineers, collaborate on incident response and root-cause remediation, and participate in on-call rotations.

Lead reliability, automation, and observability for high-density AI hardware infrastructure. Build Python-based IaC tooling, telemetry pipelines, Prometheus/Grafana dashboards, and AI-assisted tooling. Run 24x7 incident response, coordinate vendors and field technicians, define operational readiness, and drive post-mortems to improve uptime and performance.

Lead SRE ownership of ML platform SLOs and operational health for Ray on EKS and Databricks on EC2. Maintain observability with CloudWatch/Datadog, tune autoscaling and GPU scheduling, manage Databricks workspaces and IAM, optimize cost/capacity, codify infrastructure with Terraform and CI/CD, lead incident response and postmortems, perform security/OS maintenance, and participate in on-call rotation.

Build and maintain the Zero Touch Platform: develop Temporal workflows and Go services to automate cloud operations, own production systems (SLOs, on-call, incidents), debug cloud-native distributed systems, create CI/CD and IaC automation, and produce documentation to enable self-service across engineering teams.

Ensure availability, performance, and resiliency of 40+ mission-critical trade-processing applications. Lead incident response and RCA, support DR and failover, drive automation, deployments, monitoring, observability, and collaborate with development, infra, cloud, security, and operations teams to reduce operational risk.