Top Senior Site Reliability Engineer Jobs in Boston, MA

Owns resilience, performance, scalability, and operational cost improvements for a cloud-native platform. Designs and delivers full-stack solutions, builds monitoring and analysis capabilities, performs architectural and code reviews, and resolves complex production issues. The role requires pragmatic modernization judgment, AI-assisted development experience, customer or user accountability, and participation in a weekend on-call rotation.

Leads teams designing and deploying AI-driven enterprise and cloud security solutions. Responsibilities include developing machine learning systems, integrating data infrastructure and pipelines, performing advanced modeling and analysis, and building AI applications with Python, Java, and C++. The role involves client engagement, strategic problem-solving, stakeholder validation, coaching, process innovation, and operational excellence while addressing complex cybersecurity and privacy challenges.

Leads the design and development of AI-driven enterprise and cloud security solutions. Manages teams delivering data, analytics, and machine learning engineering projects; oversees AI model implementation, data infrastructure, pipelines, and platform deployments. Uses Python and C++ for algorithm development, analyzes data, improves data quality, ensures technical compliance, mentors staff, manages client expectations, and drives innovation across cybersecurity and privacy initiatives.

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.

Leads reliability standards across Infrastructure Engineering by developing Service Level Objectives, Service Level Indicators, error budgets, observability reporting, and reliability measurement practices. Partners with engineering teams to connect infrastructure performance to application and customer experiences, analyzes distributed-system failure modes, and influences teams through technical guidance, mentoring, and communication with senior leadership.

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

Own Garner’s cloud reliability strategy across AWS and Kubernetes, including SLOs, observability, incident response, infrastructure automation, cost optimization, and security compliance. Lead complex incident resolution, architect Terraform-based infrastructure, establish deployment and monitoring standards, mentor engineers, and use AI tools to automate operational work. Support high-scale AI/ML workloads while setting technical direction for platform reliability and production quality.

Lead the design and roadmap for global Active Directory and identity infrastructure, implement Identity-as-Code and GitOps automation, own incident escalation and observability, define delegation/tiered administration, integrate applications with Okta and cloud identity, mentor teams, and publish identity architecture and security best practices.

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.

Senior SRE owning availability, automation, and observability for CI/CD platform services. Build and operate infrastructure, run on-call, lead incident response, mentor engineers, drive design/capacity planning, integrate AI-assisted workflows, and improve cross-team reliability.

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 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.

Build and maintain reliable, scalable cloud compute platforms across distributed services. Troubleshoot Linux, networking, and production issues; develop automation and AI-assisted tooling; improve monitoring, alerting, SLIs, and SLOs; conduct incident response and root cause analysis; and partner with engineering teams on system design, deployment safety, and operational readiness.

Maintain operational resilience across Azure, AWS, and GCP in a 24x7 environment. Build Terraform-based security baselines, optimize CI/CD pipelines, monitor workloads with CSPM tools, and lead major-incident response. Own remediation through closure, communicate incident updates to technical and executive audiences, and create incident-management playbooks, runbooks, and escalation procedures. Mentor SREs and drive complex automated runbook architecture.

Lead reliability, scalability, and operational excellence for large-scale Java distributed systems. Drive architecture improvements, incident management, observability, SLO adoption, automation, infrastructure strategy, and performance optimization. Influence cross-team technical decisions, mentor engineers, establish reliability standards, and guide incident response and durable remediation. The role requires hybrid work in Boston and participation in an on-call rotation.

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.

Designs, deploys, and maintains resilient AWS and Kubernetes infrastructure. Builds automation, GitHub Actions components, internal AI-assisted operational tools, and observability systems. Leads incident response, postmortems, and SLO/SLI management while ensuring HIPAA compliance and high availability. Collaborates across teams on architecture reviews, risk reduction, clinical safety, and reliability best practices.

Operate and improve large-scale on-premises infrastructure across bare-metal servers, VMs, storage, networking, Kubernetes, containers, CI/CD, and Kafka. Automate provisioning and configuration with Ansible and related infrastructure-as-code tools, maintain observability and reliability, troubleshoot hardware and operating systems, manage disaster recovery, and support incident response. The role requires onsite work weekly at a designated data center and participation in on-call rotations.

Deploy and operate scalable, highly available cloud systems; improve application and network security, reliability, speed, and capacity; automate cloud deployments; monitor and troubleshoot services to meet SLAs; analyze logs and events; and resolve infrastructure issues across large-scale cloud infrastructure.

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