Site Reliability Engineer
Act as the primary responder for high-priority production incidents during Australian business hours. Collaborate with global teams to identify recurring support patterns and implement product enhancements.
Remote Site Reliability Engineer Jobs in United Kingdom
31 Site Reliability Engineer jobs in United Kingdom available for remote work from home. Apply for positions such as Site Reliability Engineer, Site Reliability Engineer, Site Reliability Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Act as the primary responder for high-priority production incidents during Australian business hours. Collaborate with global teams to identify recurring support patterns and implement product enhancements.
Monitor and manage observability and telemetry platforms across large-scale AI infrastructure clusters, including compute, GPU, storage, and network systems. Build dashboards, alerts, reporting, and automated fault detection and remediation workflows, while maintaining operational procedures and improving tooling.
You will partner with service teams to establish reliability practices, frameworks, and feedback loops to improve platform stability. This includes defining SLIs/SLOs, conducting operational readiness reviews, and driving systemic improvements from incident postmortems.
You will define reliability targets, build measurement tooling, and shape architecture to ensure system resilience. Additionally, you will manage incident response processes and implement AI-assisted auto-resolution strategies.
The role involves deploying, managing, and maintaining cloud infrastructure to ensure high performance, availability, and scalability. Responsibilities also include monitoring system uptime and supporting cloud migration and modernization projects.
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You will support the development infrastructure by implementing automation for pipelines and maintaining Linux servers and databases. Additionally, you will diagnose production issues and provide third-line technical support to clients.
The role focuses on building and maintaining centralized monitoring systems, Splunk dashboards, and SIEM rules to ensure system traceability and compliance. You will also automate operational tasks using Python and investigate incidents to improve overall system reliability.
The Site Reliability Engineer will own the availability, performance, and reliability of production SaaS applications on Azure. They will lead incident response, drive automation, and implement infrastructure improvements across multi-region environments.
The Site Reliability Engineer will operate and improve production environments while automating infrastructure management across cloud and hybrid platforms. They will collaborate with cross-functional teams to ensure platform resilience, security compliance, and operational excellence.
The SRE will drive reliability and engineering efficiency by automating deployment infrastructure and maintaining production standards as code. Key duties include handling production incidents, managing disaster recovery processes, and optimizing capacity and performance.
The Site Reliability Engineer will design and implement resilient infrastructure for a global gaming platform, ensuring high availability and performance for millions of users. They will also lead cloud migration strategies and own incident response procedures.
Manage and optimize compute, storage, and network resource pools to ensure high availability and performance for multi-tenant AI workloads. Lead incident management, drive automation initiatives, and provide expert-level support for infrastructure operations.
Lead reliability improvements and own critical production systems across GoDaddy's Commerce platform, including incident response and post-incident improvements. Design and enhance cloud infrastructure, automation, observability, and deployment platforms while partnering with teams, mentoring engineers, and improving operational practices.
You will define and evolve the observability strategy, standards, and architecture for the platform while managing monitoring, alerting, and incident response. You will also champion observability-first thinking across the engineering team and lead the implementation of modern on-call and incident management tooling.
The role involves providing front-line operational coverage for production blockchain networks during APAC hours, including monitoring, incident triage, and resolution. Additionally, the engineer will perform platform build work such as managing Kubernetes, GitOps, and CI/CD pipelines.
Design, implement, and maintain comprehensive observability solutions including metrics, logs, and traces across the organization. Collaborate with cross-functional teams to embed observability by design while optimizing operational costs and system performance.
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The Lead Site Reliability Engineer will manage service reliability through SLOs, SLIs, and error budgets while leading incident response and post-incident reviews. They will also design scalable infrastructure using IaC and implement comprehensive observability across cloud-based systems.
The Senior Site Reliability Engineer will assess system reliability, identify risks, and implement technical mitigations across infrastructure and applications. They will also establish performance testing programs, observability standards, and incident response procedures to ensure system scalability.
Set technical direction and architecture for GitLab Dedicated, leading platform transformations in resilience, failover, tenant orchestration, change management, self-service tooling, and integrations. Improve reliability and operational maturity through scalable automation and reusable patterns, while guiding cross-team decisions, mentoring engineers, and aligning the platform with GitLab’s Cells strategy.
You will design and maintain a Kubernetes-based multi-cloud infrastructure while implementing robust observability and automation tools. Additionally, you will participate in on-call rotations and collaborate cross-functionally to ensure system reliability and performance.
Site Reliability Engineers are responsible for maintaining the reliability, scalability, and efficiency of user-facing services and production systems. They build automation and infrastructure-as-code workflows while participating in incident response and observability improvements.
Lead, mentor, and develop a team of six Site Reliability Engineers while driving operational excellence and platform scalability. Define and measure SLIs and SLOs while building robust monitoring, observability, and automation solutions to support business-critical services.
You will build, operate, and evolve cloud infrastructure while improving observability and security practices across the platform. Additionally, you will develop tooling and automation to enhance developer experience and support incident response efforts.
The role involves improving production reliability and system resilience while championing DevOps and SRE best practices. You will participate in on-call rotations, incident response, and collaborate with global teams to maintain secure and scalable infrastructure.
You will design, implement, and maintain scalable infrastructure while managing CI/CD pipelines and cloud deployments on AWS. Additionally, you will participate in on-call rotations and collaborate with global teams to ensure system stability, security, and performance.
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You will own the lifecycle of data platform infrastructure, including architecture, deployment, capacity planning, and incident response. You will also focus on operational automation to reduce manual work and improve system reliability.
Lead reliability engineering initiatives to ensure the availability, performance, and scalability of Azure-based cloud platforms. Drive automation across deployments and operational processes while establishing observability standards and managing incident responses.
The role involves contributing to the development and maintenance of an AI-powered DevSecOps platform. The engineer will focus on ensuring system reliability and incorporating AI into daily workflows to drive efficiency.
Maintain and grow DevTools systems, including GitLab and TeamCity, to support large-scale AI cloud infrastructure. Focus on building fault-tolerant architectures and improving system performance based on user feedback.
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