Top Senior Site Reliability Engineer Jobs in Boston, MA

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.

As a Site Reliability Engineer II, you will build, test, and maintain the technology infrastructure for Openly's insurance platform, focusing on automation, monitoring, incident response, and operational decisions.

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 role involves defining reliability strategies, leading initiatives across teams, enhancing monitoring and incident response, and mentoring engineers at Dropbox.

Lead long-term strategy and architecture for cloud and on‑prem platform infrastructure, driving Kubernetes and multi‑cloud reliability, IaC/GitOps automation, observability, SLO/SLI/error‑budget practices, incident leadership, AI‑augmented tooling adoption, and mentorship of senior engineers to improve platform resilience and developer experience.

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.

The Senior Site Reliability Engineer will mentor teams on observability practices, architect systems for growth, automate developer tasks, and debug production issues.

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.

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.

Own reliability, monitoring, and incident response for AI infrastructure; build automation and CI/CD tooling; manage Kubernetes/Docker production workloads; partner with infrastructure, security, and compliance; improve observability and documentation; develop internal full‑stack tooling in Go or Python.

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.

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

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.

Lead integration, maintenance, and automation of heterogeneous hardware and software control systems for quantum computers. Manage lab and test infrastructure (HIL, servers, networking, K8s), implement CI/CD and IaC, maintain observability and artifact pipelines, support incident response and root cause analysis, and establish operational best practices.

Ensure reliability, scalability, and usability of network infrastructure for Akamai Connected Cloud. Define requirements and SLOs, build automation and CI/CD pipelines, collaborate with dev/QA to improve code and stability, troubleshoot complex network issues (on-call), and mentor teammates while driving architectural standards.

Lead and mentor SRE teams; partner with engineering, operations and product; apply statistical analysis and networking expertise to diagnose performance and reliability issues; define and implement data feeds; influence technical decisions and investments; build tooling to automate analytical workflows and increase platform reliability.

Seeking a Site Reliability Engineer with expertise in networking and distributed systems for building secure multi-cloud infrastructure. Responsibilities include maintaining network architecture and ensuring reliable service-to-service communication, involving a 24/7 on-call rotation.

Own and operate production services end-to-end to ensure reliability, scalability, performance, and operational health. Define SLIs/SLOs, perform incident response and root cause analysis, build automation and self-healing, manage production changes, and collaborate with engineering, product, and operations teams to improve system design and observability.

Lead design, build, and evolve developer infrastructure and CI platforms for Meraki cloud teams. Guide complex troubleshooting, mentor engineers, drive operational excellence, define roadmaps with leadership, and champion sustainable on-call practices while supporting large-scale distributed systems and automation across developer environments.

Lead design and operation of scalable, multi-tenant spatial streaming platforms. Build Terraform-based cloud infrastructure, optimize CDN/content delivery, implement observability (SLI/SLO), run incident response/on-call, conduct post-mortems, enforce compliance and security practices, and mentor DevOps engineers to improve reliability and production readiness.

As a Site Reliability Engineer, you'll enhance system reliability, collaborate on production readiness, define SLIs/SLOs, and improve incident response.

Lead global SRE team to design, implement, and operate scalable, highly available cloud infrastructure. Drive observability, automation (IaC/CI-CD), cost optimization (FinOps), security hygiene, and post-incident improvements while remaining hands-on and exploring AI tooling for reliability.

Operate and improve large-scale HPC GPU clusters for AI model training and inference. Build observability, automation, CI/CD, and incident response tooling; lead on-call rotations, ensure security/compliance, collaborate with ML engineers, and optimize capacity and costs for production ML workloads.