Top Site Reliability Engineer Jobs

Designs, implements, monitors, and optimizes cloud-based application infrastructure and reliability. Uses IaC/NaC, observability, SLOs, CI/CD pipelines, and enterprise-authorized AI to prevent and resolve incidents, improve availability and scalability, and mentor peers on SRE best practices.

Lead SRE role responsible for driving reliability, resiliency design, incident leadership, and mentoring. Improve stability via data-driven analytics, define SLOs/error budgets, adopt AI-assisted SRE workflows with proper guardrails, and lead CI/CD, observability, containerization, and operational readiness across the SDLC.

Design, implement, and maintain reliable, scalable cloud infrastructure and SRE practices for critical applications. Build IaC, CI/CD pipelines, observability, and incident response; apply enterprise-authorized AI to accelerate triage while validating outputs and protecting sensitive data.

Builds, configures, monitors, and optimizes applications and cloud infrastructure for availability, reliability, and scalability. Designs deployment strategies, CI/CD pipelines, infrastructure and network as code, observability practices, and SLO-based alerting. Troubleshoots complex issues, performs incident and post-incident analysis, and improves reliability proactively. Guides peers in SRE practices and uses authorized AI capabilities to accelerate triage and identify reliability risks while validating recommendations and protecting sensitive operational data.

Lead SRE for Sales Execution platforms responsible for stability, availability, resiliency, incident leadership, RCA, and operational maturity. Partner with Front Office, Product, Development, and Infrastructure to drive SRE adoption, observability, automation, and AI-assisted reliability workflows while mentoring engineers and owning outcomes for business-critical services.

Designs, implements, and optimizes infrastructure and deployments to improve application availability, reliability, and scalability. Implements IaC and network-as-code, builds CI/CD pipelines, and enhances observability (monitoring, telemetry, SLOs). Collaborates cross-functionally, uses enterprise-authorized AI to accelerate incident triage and analysis, and drives iterative reliability improvements.

Design, implement, monitor, and optimize cloud infrastructure and applications using IaC and CI/CD. Improve availability, reliability, and scalability; use enterprise-authorized AI for incident triage and analysis with strong validation; collaborate across teams; participate in 24x7 on-call incident response.

Lead SRE responsible for driving reliability culture, conducting resiliency design reviews, leading incident response, mentoring engineers, defining SLOs/error budgets, adopting AI-assisted reliability workflows, and improving observability, CI/CD, and containerized platforms to ensure scalable, secure, and resilient production services.

Senior Site Reliability Engineer responsible for operating and improving cloud infrastructure in U.S. government classified environments. Duties include deployments, on-call support, incident management, infrastructure oversight across AWS and private clouds, automation through Python and infrastructure tools, containerized services, monitoring, vulnerability scanning, patch management, and DevOps documentation. The role requires an active Secret clearance and supports secure, scalable multitenant platforms.

The Site Reliability Engineer will ensure the reliability, scalability, performance, and security of large-scale data platforms. Responsibilities include monitoring and alerting, automation, deployment, backup and disaster recovery, performance optimization, incident response, capacity planning, documentation, troubleshooting, and cross-team collaboration. The role partners with data engineering, product, development, and data science teams to maintain highly available data infrastructure and support data platform growth.

Lead engineering teams and technology projects that build reliable, cloud-native, full-stack systems. Design and implement distributed microservices, APIs, databases, and shared cloud platforms using Java, Python, AWS, containers, and modern AI tools. Provide technical leadership on architecture, resilience, observability, performance, coding standards, platform roadmaps, and enterprise technology strategy while mentoring engineers and partnering with product and architecture leaders.

Own the company’s AWS infrastructure, Kubernetes platform, Terraform provisioning, deployments, security stack, and CI/CD processes. Drive GDPR and ISO 27001 compliance milestones, ship infrastructure changes quickly, and use AI coding agents daily. The role also involves training and hiring team members, collaborating with the founding and engineering teams, and supporting scalable, secure platform growth.

Build resilient cloud infrastructure and applications through redundancy, monitoring, observability, automation, self-repair, and infrastructure as code. Reduce operational toil by scripting routine tasks and managing deployments, scaling, releases, and cloud operations. Document current environments, perform gap analyses, and recommend improvements while supporting enterprise systems and meeting Public Trust and U.S. citizenship requirements.

Operate and improve the reliability, availability, performance, observability, and scalability of a distributed AI research platform. Build automation, CI/CD pipelines, testing systems, infrastructure-as-code, and operational tooling. Debug distributed services involving Ray, GPUs, resource allocation, and scheduling, while establishing best practices and collaborating across teams to support evolving research needs.

Design, build, and maintain scalable cloud infrastructure across AWS GovCloud and Azure. Develop automated deployment, monitoring, observability, incident response, and resilience testing systems. Establish SLOs, manage error budgets, troubleshoot application operations, and enforce FedRAMP security practices. Collaborate with architecture and software engineering teams to improve availability, performance, and automation across mission-critical SaaS and PaaS platforms.

Own fleet-scale reliability, upgradeability, and operational excellence for an edge platform. Design and operate automated, secure lifecycle systems, observability, and incident response. Lead cross-domain, high-severity incident ownership, set production standards (SLOs/SLIs, change management), mentor engineers, and apply AI to accelerate diagnostics and operational workflows.

Designs and maintains scalable, reliable infrastructure; develops monitoring and alerting systems; improves architecture and deployment processes; automates operational tasks; troubleshoots complex issues; and documents systems and configurations. Collaborates with development, operations, data engineering, and analytics teams. Requires DevOps experience, cloud and automation expertise, incident management skills, and an active Top Secret clearance.

Lead Site Reliability Engineering initiatives for critical, large-scale financial platforms. Responsibilities include defining SLOs, SLIs, and error budgets; designing resilient distributed systems; developing automation and self-service tooling; improving production readiness through testing and capacity planning; leading complex incident response and blameless post-mortems; and promoting sustainable on-call practices across engineering teams.

Leads reliability strategy and operations for Microsoft Substrate cloud workloads in regulated environments. Responsibilities include defining SLOs, participating in senior on-call rotations, leading complex incident response, conducting post-incident reviews, architecting automation and observability solutions, improving self-healing capabilities, establishing reliability and security standards, influencing cross-organizational architecture, mentoring senior engineers, and guiding long-term SRE direction.

Designs and develops Python-based reliability tools and cloud solutions on AWS using Terraform. Builds automation, observability, CI/CD pipelines, and testing frameworks; defines SRE standards, SLIs, SLOs, and error budgets; participates in incident response, on-call support, root-cause analysis, and postmortems. Collaborates across Agile teams to improve platform reliability, reduce toil, optimize cloud costs, and advance cloud-native engineering practices.

Operate and improve PlayerZero’s AWS production infrastructure and distributed data systems. Automate operational workflows, strengthen monitoring and instrumentation, respond to incidents, and improve deployment safety, security, performance, and resilience. The role includes infrastructure as code, CI/CD, patching, vulnerability remediation, capacity planning, runbook development, and collaboration with platform and application engineering teams.

Leads architecture, modernization, optimization, and reliability initiatives for mainframe CICS, MQ, and z/OS Connect environments. Provides technical direction across development and operations teams, establishes governance and change processes, tunes performance using telemetry, resolves incidents, and develops modernization roadmaps. Collaborates with stakeholders and enterprise architects to deliver secure, scalable, high-availability solutions while evaluating automation, cloud integration, and AI technologies.

Leads reliability engineering for critical platforms by improving scalability, performance, observability, automation, and incident response. Designs SLOs, error budgets, monitoring, recovery mechanisms, and infrastructure solutions; conducts root cause analyses and postmortems; supports distributed systems, Kubernetes, cloud platforms, IaC, and CI/CD pipelines. Provides technical leadership across engineering teams, mentors engineers, and applies AI tools to automate workflows and improve operational efficiency.

Deploy, monitor, automate, and support large-scale distributed IaaS, PaaS, and SaaS environments. Build reliable infrastructure, measure production performance, resolve complex service issues, scale systems through automation, and collaborate across engineering, DevOps, security, and IT operations teams. The role requires expertise in networking, cloud technologies, storage, virtualization, infrastructure automation, and service lifecycle management, with eligibility for Secret and TS/SCI clearances.

Operate and improve a Kubernetes-based federal cloud platform through infrastructure automation, CI/CD, observability, incident response, troubleshooting, security, compliance, and documentation. The role maintains scalable, highly available platform components and collaborates with engineering teams across locations. It requires cloud infrastructure and DevOps experience, Terraform and Argo CD proficiency, and preferably AWS, programming, Kubernetes, air-gapped cloud, and DoD-compliant security certification experience.