Top Site Reliability Engineer Jobs

Own and improve CI/CD, developer tooling, agent harnesses, Kubernetes infrastructure, observability, cost management, and incident-response practices. Build platform capabilities that reduce engineering toil and improve delivery speed for conversational AI products. Participate in an on-call rotation for core infrastructure and help shape reliable, scalable systems across a fully remote engineering organization.

Own reliability, scalability, and performance of cloud-native production systems. The role manages Kubernetes and AWS EKS platforms, Terraform infrastructure, observability, CI/CD, incident response, capacity planning, cost optimization, and security. It leads on-call support, troubleshooting, root cause analysis, automation, self-healing, and AI-assisted incident investigations while collaborating with development teams to improve deployment and application reliability.

Build and operate software automation for large-scale NVIDIA GPU infrastructure. Responsibilities include bare-metal provisioning, hardware validation, firmware and software upgrades, cluster lifecycle management, BMC and Redfish tooling, failure diagnosis, observability, incident response, and automated repair. The role supports NVL72 systems, BlueField DPUs, Linux, Kubernetes, and cloud or on-premises environments while coordinating across hardware, networking, platform, data center, and partner teams.

Own global product deployments, production environments, reliability monitoring, alerting, CI/CD tooling, Terraform infrastructure, and first-line operational support. Diagnose and resolve product issues, optimize Kubernetes performance and costs, enhance documentation, establish SRE practices, secure cloud systems, and mentor engineers across distributed international teams.

Own reliability, automation, and observability across colocation facilities, on-premises GPU clusters, cloud environments, and customer-facing platforms. Provision and troubleshoot servers, networking, storage, Kubernetes, and hardware; build infrastructure-as-code and automation; manage capacity and cloud spend; create monitoring and alerting; support incident response, on-call operations, and root-cause analysis. Partner with hardware and software teams on CI/CD, QA, HPC workloads, and customer deployments.

Leads the SRE function and team, establishing reliability practices, observability standards, automation, incident management, and 24x7 operations. Develops scalable monitoring and AIOps architectures, modernizes hybrid cloud and enterprise network connectivity, and partners with infrastructure, engineering, cybersecurity, and service providers. Provides architectural guidance, drives migration and continuous improvement, and reports reliability and operational maturity to leadership.

Leads site reliability engineering for mission-critical cloud platforms, focusing on disaster recovery drills, platform rebuild validation, infrastructure automation, Kubernetes operations, CI/CD, observability, incident response, and system resilience. Collaborates across engineering, security, applications, and data teams while driving remediation and modernization efforts. The role requires deep AWS, Infrastructure as Code, containerization, automation, monitoring, and failure-analysis expertise, plus eligibility for Public Trust clearance.

The Staff Data Reliability Engineer ensures data integrity, quality, freshness, and availability across enterprise pipelines. Responsibilities include defining data SLOs, implementing observability, building resilient Informatica and Python/PySpark pipelines, automating validation and recovery, eliminating operational toil, leading data incidents and postmortems, creating runbooks, and applying AIOps, machine learning, and DataOps practices to detect anomalies and self-heal data workflows.

Build and maintain global infrastructure systems, monitoring and observability tooling, real-time packet and flow analysis, configuration automation, and resilient deployment platforms. The role combines systems engineering and software development, requiring deep debugging of complex software stacks, streaming architecture expertise, CI/CD and Kubernetes experience, and a strong focus on reliability, efficiency, and operational excellence.

Owns the reliability, performance, scalability, and cost efficiency of a large-scale monitoring and data platform. Responsibilities include operating data pipelines, implementing observability and deterministic alerting, responding to incidents, conducting root-cause analyses and postmortems, supporting disaster recovery, improving infrastructure workflows, deploying infrastructure as code, planning capacity, and mentoring engineers.

Owns production reliability across AWS, Azure, and data centers. Defines SLOs and SLIs, leads incident response and postmortems, manages monitoring and infrastructure, automates repetitive work, and establishes CI/CD and safe deployment practices. Partners with security and engineering teams to maintain compliance, improve platform resilience, and support secure delivery. The role also mentors engineers and requires hands-on expertise in cloud infrastructure, Terraform, Docker, databases, ITIL service management, and production operations.

Build and operate reliable AWS infrastructure, Kubernetes clusters, Terraform automation, CI/CD pipelines, monitoring, and alerting. Design multi-region resilience, backups, disaster recovery, and failover strategies. Improve deployment practices, support on-call rotations, lead incident response, and perform root-cause analysis while collaborating with product engineering teams.

Designs, develops, and maintains automation solutions for enterprise Linux and Windows environments. The role involves scripting, infrastructure provisioning, configuration management, deployment automation, monitoring, troubleshooting, and operational process improvement using Python, PowerShell, Bash, Ansible, Terraform, Jenkins, and related technologies. The engineer collaborates with infrastructure, application, security, and operations teams while supporting testing, release management, documentation, and operational readiness.

Own database reliability, scalability, and operational excellence across cloud and on-premises environments. Build automated Kubernetes-based database platforms, infrastructure tooling, failover and backup systems, and self-healing capabilities. Lead observability, performance optimization, capacity planning, incident response, and safe migration practices. Partner with application teams, leverage AI for operational improvements, mentor engineers, influence architecture, and drive technical strategy for highly available database infrastructure.

Leads reliability practices across Infrastructure Engineering by defining Service Level Objectives, Service Level Indicators, error budgets, observability standards, and reporting. Partners with engineering teams to connect infrastructure reliability to application and platform outcomes, analyzes distributed-system failure modes, builds Datadog dashboards and monitoring, and influences reliability strategy through technical guidance, mentoring, and executive communication.

Leads the strategy, architecture, and operation of Kubernetes-based cloud and on-premise infrastructure. Drives reliability engineering, Infrastructure as Code, GitOps, observability, automation, incident response, capacity planning, and cost optimization. Leads cross-functional platform initiatives, establishes SLOs and error budgets, mentors engineers, and advances AI-enabled engineering practices across the organization.

Own incident response, observability standards, and SLI/SLO adoption across engineering teams. Lead incident lifecycle improvements, postmortems, runbooks, alert optimization, Datadog dashboards, error-budget practices, and reliability enablement. Partner with Infrastructure, Security, Support, and Product to improve detection and recovery times, mentor engineers, support capacity planning and chaos exercises, and drive sustainable team-owned operational excellence.

Operate and improve hybrid Kubernetes infrastructure across on-premises data centers and Azure. Responsibilities include managing RKE2/Rancher and AKS clusters, troubleshooting networking and workloads, supporting servers and storage, implementing disaster recovery, responding to incidents, and improving observability, automation, IaC, CI/CD, and reliability practices. The role participates in on-call rotation and helps shape platform architecture, standards, and production technologies.

Ensure the reliability, availability, scalability, and performance of Barclays’ mission-critical identity platform. Responsibilities include monitoring, capacity planning, incident response, root cause analysis, automation, performance optimization, observability, and SRE integration into software development. The role operates cloud-native infrastructure across AWS and Azure, applies infrastructure as code and container orchestration, reduces operational toil, and collaborates with engineering teams on resilient, secure platforms. It also involves mentoring, technical leadership, risk management, and stakeholder partnership.

Deploys and operates Kubernetes-based MariaDB Cloud infrastructure across AWS GovCloud and Google Cloud. Owns production reliability, monitoring, alerting, capacity planning, incident response, observability, logging, secrets management, messaging, and CI/CD services. Builds infrastructure automation with Terraform, Terragrunt, and GitOps, supports federal security and FedRAMP compliance, improves operational processes through code, and participates in on-call rotations.

Designs and operates Azure DevOps CI/CD pipelines, Terraform infrastructure, Azure platforms, API Management, and MuleSoft integrations. The role owns reliability engineering through observability, SLOs, incident response, disaster recovery, performance optimization, and cost governance. It also embeds DevSecOps practices and develops AI-assisted automation for troubleshooting, infrastructure, and operational workflows. Responsibilities include technical leadership, standards development, mentoring, production support, and collaboration across development, architecture, security, and infrastructure teams.

Build and support highly scalable cloud-native platforms using AWS, Azure, Kubernetes, Infrastructure as Code, CI/CD, and observability tools. Lead reliability engineering, incident response, root cause analysis, disaster recovery, resilience testing, and platform automation. Define SLOs, improve monitoring and performance, develop self-service platform capabilities, and reduce operational toil through automation and AI-driven operations. Provide technical leadership, collaborate across engineering and security teams, and mentor junior engineers.

Build and operate reliable, scalable cloud applications through automation, infrastructure as code, CI/CD, monitoring, incident response, capacity planning, and SLO management. Collaborate with software engineers on resilient system design, support development environments, improve operational processes, and participate in 24x7 on-call rotation. The role requires expertise with AWS, Kubernetes, Terraform, Docker, networking, and observability, along with mentoring and leadership in SRE practices.

Owns reliability, availability, incident response, and infrastructure for a regulated SaaS platform. Maintains AWS and Azure environments using Terraform, operates Kubernetes production systems, develops automation, improves observability and deployment safety, mentors engineers, and helps establish the company’s reliability practice.

Leads site reliability engineering across product operations, application management, and IMS operations. Responsibilities include designing GCP infrastructure and IAM controls, owning observability and alerting strategy, resolving complex incidents, leading incident escalations, managing the SRE backlog and Agile ceremonies, analyzing operational data, governing ServiceNow access groups, and delivering executive reporting and cross-functional initiatives.