Top SRE Engineer Jobs in Boston, MA

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 SRE efforts for DFIN SaaS: ensure availability, performance, scalability, and automation. Implement monitoring, CI/CD, IaC, container orchestration, AI-enhanced observability, incident response, RCA, and runbook automation while collaborating across engineering teams.

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.

Own reliability, scalability, and security for on-prem and AWS deployments. Build observability (Prometheus/Loki/Grafana/ELK), define SLOs/SLIs, lead incident response and postmortems, automate infrastructure (Terraform/Ansible), operate Kubernetes clusters, embed security/compliance controls, eliminate operational toil, and mentor teams.

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.

The role involves ensuring software reliability and performance, managing incidents, developing infrastructure automation, and mentoring junior engineers within a platform team.

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.

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.

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.

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.

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

The Senior Site Reliability Engineer ensures the reliability and performance of cloud-native Kubernetes platforms by building tools, facilitating self-service for engineers, and promoting best practices.

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 architecture and build a Kubernetes-based, GitOps-driven platform and self-service datastore offerings. Drive IaC, observability, and platform automation; partner with application teams to diagnose and optimize datastore and messaging performance at scale.

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.

Lead AIOps and Site Reliability-focused engineer responsible for incident management, operational resilience, observability, and intelligent automation. Partner with NOC, Cloud, DevOps, and application teams to implement AIOps, reduce MTTD/MTTR, build AI-driven operational agents, and drive ServiceNow and Dynatrace-based monitoring and automation. Mentor teams and define SLAs, SLOs, and reliability strategies.

Lead reliability for a serverless AI inference platform: own observability and SLO/SLI frameworks, build automation and tooling, manage incidents and on-call, define deployment safety (canaries, rollbacks), influence architecture with product teams, and mentor other SREs.

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.