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.

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

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 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.

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.

Design and evolve the developer platform and CI infrastructure, consolidate legacy tooling, drive operational excellence, support cross-functional engineering initiatives, enable safe developer experimentation, participate in on-call incident response and blameless postmortems, and build tools and automation to support a rapidly growing engineering organization.

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.

Design, build, and operate multi-account cloud infrastructure using IaC. Automate customer deployments, manage CI/CD, troubleshoot production across infra/data/app layers, and handle networking, security, and compliance for regulated environments while collaborating with platform and professional services teams.

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.

Design, build, and maintain automation and deployment tooling to improve reliability and scalability across global cloud environments. Troubleshoot distributed systems, develop CI/CD and testing frameworks, automate cluster and environment provisioning, and collaborate with engineering and product teams to reduce operational overhead and support large-scale platform growth.

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.

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.

Build and operate the Veeam Data Cloud GOV environment: map systems, write runbooks, define SLIs/SLOs, run incident response, close observability gaps, automate deployments and support fleet management while working across security and compliance constraints.

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.

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 product lifecycle for internal PaaS and Data-as-a-Service offerings focused on SRE and data engineering. Drive system reliability (99.99% availability), scaling strategies, GCP cost optimization, BigQuery/table and ETL performance, AI/ML enablement, and data governance/compliance across cross-functional teams.

Serve as an SRE-focused AI enablement partner: evaluate AI architectures, coach engineering teams on LLM integrations and agentic/RAG patterns, advise on observability, SLOs, governance, and operational readiness, and develop internal standards and documentation.