Top Site Reliability Engineer Jobs

Lead platform infrastructure reliability initiatives for a microservices-based cloud SaaS solution. Design scalable, automated, observable infrastructure; define platform roadmaps; guide engineering teams through design reviews; reduce operational toil; build monitoring and alerting; and participate in on-call incident response. The role uses AWS, Kubernetes on EKS, Istio, infrastructure-as-code, GitLab, Argo CD, and Datadog.

Designs, deploys, maintains, and optimizes cybersecurity production systems across hybrid on-premises and cloud environments. Builds CI/CD pipelines, containerized microservices, observability automation, monitoring alerts, security controls, and infrastructure automation. Collaborates with developers and application teams to improve reliability, scalability, deployment processes, and incident response. Participates in root cause analysis, post-mortems, Agile/Scrum practices, GitOps, and DevOps initiatives.

Senior Site Reliability Engineer responsible for improving reliability, availability, scalability, and performance of critical production environments. Duties include defining SLOs and SLIs, implementing observability with logging, monitoring, and alerting tools, responding to incidents, conducting root cause analyses, and preventing recurrence. The role collaborates with development, testing, infrastructure, and DevOps teams to integrate reliability into the software development lifecycle and supports a federal cybersecurity data solution.

Own and scale Cognitiv’s AWS infrastructure while evaluating architecture, networking, security, scalability, and service management. Lead improvements in deployments, monitoring, disaster recovery, and infrastructure-as-code practices. Support co-located Equinix datacenter deployments and hybrid cloud operations alongside a datacenter-focused SRE. Collaborate with engineering and product teams, provide multi-datacenter coverage, and help establish long-term service management best practices.

Lead reliability strategy across eight engineering groups by defining SLIs, SLOs, and error budgets; strengthening incident response, alerting, postmortems, change safety, and failure testing; and coaching teams to own reliability. The role remains hands-on through production investigations, tooling, dashboards, and reference implementations. It also leads AI adoption in incident management and observability while partnering with architecture, platform, and product teams to improve distributed-system resilience.

Own end-to-end infrastructure as the company’s first dedicated SRE. Design, build, scale, and operate cloud, on-premises, hybrid, and air-gapped environments; architect AWS migrations; support customer-specific deployments; and improve observability, networking, containerization, CI/CD, and delivery systems. The role is full-time and on-site in Midtown Manhattan, with relocation support but no visa sponsorship.

Lead design, develop, and troubleshoot production-grade software with emphasis on reliability, scalability, security, and automation. Serve as technical lead during incidents, implement SRE best practices, and adopt enterprise-authorized AI tools to improve code quality, testing, and operational decisioning. Mentor engineers, drive observability and CI/CD automation, and ensure responsible, auditable AI usage across the SDLC.

Design, implement, monitor, and optimize production infrastructure and applications. Build infrastructure-as-code, CI/CD pipelines, and observability. Use enterprise-authorized AI/ML to accelerate incident triage and automate remediation. Collaborate cross-functionally on reliability, SLI/SLO/SLA, incident management, and resilience improvements.

Designs and deploys reliable cloud infrastructure, develops CI/CD pipelines, implements monitoring and security scanning, performs root cause analyses, automates support processes, and supports product deployments. The role partners with product and platform engineering teams, mentors others on DevSecOps practices, assists support teams, and provides occasional emergency after-hours support across AWS and Azure environments.

Lead reliability automation projects and build shared tooling, platform services, observability, self-healing, incident response, resilience testing, and disaster recovery capabilities. Partner across engineering, infrastructure, security, and operations teams to improve service reliability, scalability, deployment safety, and operational efficiency. Own production services and participate in a 24x7 on-call rotation while eliminating operational toil through software engineering.

Site Reliability Engineer responsible for improving platform reliability, observability, and security. Duties include expanding PagerDuty on-call operations, implementing Datadog metrics and tracing, and managing credentials, certificates, encryption keys, and their rotation. The role supports infrastructure handling protected health information and offers mentorship toward broader SRE ownership.

The BizOps Engineer II is responsible for enhancing system reliability, automating workflows, and ensuring operational excellence across technology services at Mastercard, including application monitoring and CI/CD processes.

Build and improve resilient, scalable backend systems as part of the Platform team. Responsibilities include implementing observability with OpenTelemetry, defining SLOs, owning incident response processes and follow-ups, mentoring teams on secure and reliable coding, and applying automated testing. The role involves working with Java, Spring Boot, microservices, distributed systems, Kubernetes, cloud infrastructure, and CI/CD while collaborating with engineering leadership and cross-functional teams.

Build and improve scalable, resilient backend systems across product teams. Responsibilities include implementing observability with OpenTelemetry, establishing SLOs, owning incident response processes, mentoring teams on secure and reliable coding practices, and applying automated testing. The role collaborates with engineering leadership and cross-functional partners on shared infrastructure, performance, and distributed-systems challenges. This is a hybrid position requiring at least three office days per week in Los Angeles or San Francisco.

Lead reliability, secure architecture, and continuous compliance for a FedRAMP-authorized cloud platform across AWS GovCloud, commercial AWS, Kubernetes, and on-premises edge infrastructure. Responsibilities include L3 incident response, FedRAMP audits, NIST control implementation, ELK troubleshooting, hybrid infrastructure design, Terraform and GitOps deployments, observability, automation, and operational documentation. The role includes 24/7 rotational on-call support and collaboration with development, security, networking, and assessment teams.

As a Site Reliability Engineer for AI platform, you will ensure system reliability, develop automation, manage infrastructure, and evaluate new technologies.

Lead SRE work partnering with development teams to design and implement availability, scalability, observability, and automation for production systems. Build tooling, manage incident response and RCAs, optimize capacity and performance, mentor engineers, maintain runbooks, and participate in a 24x7 on-call rotation.

Design, build, and maintain secure, air-gapped cloud platform services and CI/CD pipelines for Okta Federal. Operate mission-critical infrastructure, monitor SLOs/SLIs, run incident response and POA&M remediation, and support Authority to Operate activities. Advocate SRE/DevOps practices across teams while working autonomously in secure facilities.

Provides enterprise-level technical leadership for site reliability engineering across production services. Improves reliability, scalability, observability, deployment, automation, incident response, resilience, capacity management, and operational readiness. Establishes SLIs, SLOs, error budgets, and technical direction while partnering with software engineering teams. Leads critical incident response, reduces operational toil, and develops reusable engineering practices, tooling, and platforms that improve organizational capability.

Design, deploy, and operate production Kubernetes control planes for large GPU clusters. Implement GPU-specific scheduling, CRDs, multi-tenant isolation, BMaaS provisioning, Terraform-based IaC, monitoring, SLI/SLOs, and automated remediation workflows to enable autonomous AIOps-driven recovery and tenant self-service.

Build and maintain SRE microservices supporting a global GPU infrastructure platform. Implement GitOps, declarative configuration, and CI/CD automation; monitor metrics, logs, and traces; support operational readiness through on-call participation, runbooks, and incident reviews; and write unit, integration, and end-to-end tests. Work with senior engineers to deliver production-ready platform features while maintaining service reliability and infrastructure consistency.

Front-line SRE covering 8AM–8PM PST monitoring GPU clusters, networking, storage, and sensors. Execute runbooks, perform hardware triage and physical DC tasks (rack, cable, swap), collect diagnostics for escalation, manage tickets (ServiceNow/Jira), update runbooks, and tag incidents to train the AIOps platform.

Deploy, operate, and optimize high-performance parallel/distributed storage systems for AI training and inference; implement multi-tenant isolation and GPU Direct data paths; instrument telemetry for storage-fault prediction; convert incidents into automated runbook-as-code; plan capacity, firmware, migrations, and DR for GPU clusters.

Lead end-to-end architecture of AI data center networks, DCI, and global backbone for large GPU clusters. Design underlay and overlay networks, IP/VLAN/VXLAN planning, congestion control (PFC/ECN/INT), and optical transport. Produce HLD/LLD, topology diagrams, standards, and SOPs; engage vendors and drive risk mitigation and network improvements.

Designs and operates reliable hybrid application platforms, leading CI/CD, infrastructure automation, cloud resource management, monitoring, security scanning, container orchestration, and database self-service tooling. The role owns the enterprise CI/CD technology stack and hosting strategy across on-premises, hybrid, and cloud environments. It requires extensive collaboration with engineering, infrastructure, security, application, QA, and governance teams, along with 24/7 mission-critical support and technical leadership.