Top Remote Site Reliability Engineer Jobs

Build and maintain cloud-native infrastructure, automate manual operations, develop Terraform modules and Helm charts, manage Kubernetes and service mesh configurations, monitor GCP databases and services, improve observability, maintain CI/CD pipelines, and use AI coding agents to enhance infrastructure development. Collaborate with engineering teams on instrumentation, architecture, capacity planning, scalability, reliability, security, and developer experience.

Leads the strategy, architecture, automation, reliability, and security of global Active Directory and identity infrastructure across cloud and on-premises environments. Responsibilities include Identity-as-Code, CI/CD automation, incident escalation, observability, delegated administration, least-privilege governance, Okta integrations, technical roadmap ownership, standards documentation, and team mentorship. The role requires deep AD expertise, cloud identity experience, infrastructure-as-code proficiency, scripting, networking knowledge, and at least seven years of progressive IT or engineering experience.

Build and operate security infrastructure for MongoDB Atlas across AWS, Azure, and Google Cloud. Responsibilities include hardening Linux hosts and containers, implementing cloud security controls, workload identity, vulnerability management, Infrastructure-as-Code, runtime threat detection, and monitoring systems. The role leads initiatives from threat modeling and architecture through deployment and long-term production reliability.

Lead cloud and SRE engineering practices for business-critical AWS production services. Responsibilities include production readiness, incident response, observability, SLI/SLO and error-budget management, resiliency and disaster recovery, infrastructure automation, cloud cost optimization, architecture strategy, and responsible adoption of AI-assisted engineering tools. The role also drives root-cause analysis, operational risk reduction, service health measurement, and technical standards across multiple engineering teams.

Leads AWS cloud production management and Site Reliability Engineering practices for business-critical banking services. Defines SLOs, SLIs, error budgets, observability, capacity planning, resiliency, and disaster recovery strategies. Directs major incident response, root-cause analysis, and corrective actions; advances infrastructure automation, cloud cost optimization, and multi-region architecture. Establishes production readiness and operational standards while guiding responsible AI-assisted engineering adoption and communicating technical strategy to leadership.

Leads AWS cloud architecture and site reliability engineering for business-critical production services. Responsibilities include production readiness, incident response, observability, SLI/SLO and error-budget management, capacity planning, resiliency, disaster recovery, infrastructure automation, cloud cost optimization, and major incident remediation. The role also establishes operational standards, advances responsible AI-assisted engineering practices, and communicates complex technical strategies to leadership in a regulated financial-services environment.

Build and operate resilient, scalable distributed services through software engineering, automation, observability, incident management, self-healing, capacity planning, and secure delivery practices. Lead high-priority incident response and blameless reviews, partner with development and product teams on reliable releases, and reduce operational toil. The role includes on-call participation, production troubleshooting across application and infrastructure layers, and responsible use of AI-assisted development tools.

Leads reliability engineering for mission-critical network services, including resiliency reviews, incident response, root-cause analysis, automation, observability, and durable remediation. Architects self-healing and guarded remediation workflows using Python, Shell, and Ansible. Provides technical leadership across SD-WAN, SDN, routing, switching, security, and traffic services while embedding SRE practices, resilience testing, AI-assisted workflows, and security controls. Mentors engineers and drives service-level objectives, error budgets, and operational readiness.

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.

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.

Provide technical direction for GitLab Dedicated, a managed single-tenant SaaS platform. Lead architecture and transformation across resilience, failover, tenant orchestration, change management, automation, and platform integrations. Identify systemic reliability and scalability risks, establish reusable platform patterns, strengthen service ownership, and guide cross-team technical decisions. Mentor senior engineers and advance engineering excellence across the organization.

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.

Designs and operates observability, automation, infrastructure as code, CI/CD, and reliability practices for distributed AWS systems. Partners with engineering teams to improve service visibility, scalability, performance, networking, deployment safety, incident response, and operational ownership. Participates in on-call rotations, leads incident response when needed, and drives blameless post-mortem remediation. Develops reusable platform standards for containers, service communication, secrets, routing, and production readiness.

Build and operate security infrastructure protecting MongoDB Atlas across AWS, Azure, and GCP. Responsibilities include hardening Linux hosts and containers, implementing Kubernetes security controls, managing CSPM and workload identity platforms, deploying security controls through Terraform and other IaC tools, and creating monitoring and alerting systems. The role leads initiatives from threat modeling and architecture through implementation, rollout, and ongoing production reliability.

Lead site reliability engineering for enterprise infrastructure platforms. Build automated, self-healing systems; define and operationalize SLIs, SLOs, observability, and actionable alerting; own production services, incidents, postmortems, security, performance, and cost. Mentor engineers, lead resiliency reviews, reduce toil, and apply validated enterprise AI capabilities to incident response, SDLC workflows, and operational readiness while maintaining security, traceability, and reliability controls.

Improve production service reliability, scalability, and performance through infrastructure automation, monitoring, incident response, disaster recovery, and high-availability practices. The role writes tools and code for releases, rollbacks, and recovery; participates in on-call rotations; troubleshoots complex infrastructure issues; conducts post-mortems; reduces operational toil; and supports SLO and SLA achievement.

Designs, builds, and operates secure, highly available Kubernetes platforms and cloud infrastructure. Develops Terraform modules, backend services, automation, and CI/CD workflows while improving reliability, scalability, observability, security, and cost efficiency. Partners with engineering and product teams on distributed systems, leads incident response and postmortems, establishes SLOs and disaster-recovery practices, and mentors team members.

Leads the migration of globally distributed Kubernetes workloads from AWS to an internal platform, establishes technical direction, and supports production reliability. Responsibilities include incident response, performance optimization, observability, automation, networking, security, operational readiness, and production-quality Go development for distributed systems. The role partners across infrastructure, security, SRE, product, and application teams while contributing to Kubernetes platform reliability and scalability initiatives.

Embed with service teams to define SLIs/SLOs and error budgets, run Operational Readiness Reviews, improve incident-to-improvement pipelines, advise on resilience and architecture, reduce operational toil through automation, and shape org-wide on-call practices and operational maturity.

Own reliability outcomes for business applications by improving availability, performance, resilience, observability, automation, and operational readiness. Lead incident response, postmortems, root-cause analysis, SLO improvement, production support, and 24x7 on-call activities. Develop software and tools to reduce toil, embed reliability into architecture and delivery, and guide engineering teams in SRE practices. Collaborate with infrastructure, architecture, database, vendor, and business teams.

Manage and improve CI/CD pipelines, containerized deployments, AWS infrastructure, Terraform resources, monitoring, and incident response for the SportsRecruits platform. Troubleshoot application, database, and distributed-system performance issues; maintain development and QA environments; collaborate with engineering, QA, product, and security teams; and implement automation, observability, scalability, and AI-assisted monitoring improvements.

Build and lead SRE practices across application teams, establishing SLOs, SLIs, error budgets, production-readiness standards, release gates, and incident follow-through. Configure Dynatrace reliability monitoring, ServiceNow alerting, CI/CD checks, synthetic testing, dashboards, and rollback strategies. Guide teams through reliability-focused delivery waves, on-call support, blameless reviews, and DORA reporting while developing reusable templates and golden paths. Partner with engineering and business stakeholders to drive adoption, communicate outcomes, and improve operational resilience.

Own platform reliability, observability, incident response, scaling, capacity planning, and deployment automation. Monitor system health, debug and resolve incidents, build logging and monitoring tools, improve CI/CD pipelines, develop self-service automation, and strengthen high-availability delivery systems. The role requires clear incident communication, post-incident learning, and collaboration across engineering teams in secure, high-side environments.

Lead Site Reliability Engineer responsible for reliability, availability, observability, incident response, and operational excellence across large-scale public-facing software. The role defines SLOs and error budgets, leads capacity and resilience testing, improves infrastructure using Terraform and Kubernetes on AWS, automates operational workflows, and mentors engineers. Responsibilities also include production readiness reviews, architecture guidance, on-call support, postmortems, and establishing reliability standards across the technology organization.

Leads site reliability engineering for large-scale public-facing software, owning SLOs, observability, capacity planning, resilience testing, incident response, and production readiness. Builds reliability improvements with Terraform and Kubernetes on AWS, automates operational workflows, troubleshoots infrastructure and application issues, and mentors engineering teams. The role also establishes reliability standards, contributes to architecture decisions, and drives operational excellence through automation, postmortems, and technical leadership.