Site Reliability Engineer

About This Opportunity

We are representing a confidential SaaS security organization seeking an experienced Site Reliability Engineer with deep Azure expertise to join their UK-based remote team. Our client operates critical multi-region cloud infrastructure serving enterprise customers globally, and this role will be essential in maintaining availability, performance, and reliability across their production environment.

As their recruiting partner, Get A Job.ai is seeking candidates who thrive in high-ownership, customer-focused engineering environments and can drive meaningful improvements to reliability and incident response processes.

Responsibilities

• Own the availability and performance of production SaaS applications running on Azure, including AKS, App Service, Redis, SQL, Service Bus, and related services across multiple geographic regions
• Lead troubleshooting and resolution of cloud infrastructure and application issues, including Kubernetes pod/node failures, deployment rollbacks, ingress and networking problems, and autoscaling challenges
• Participate in an on-call rotation (including weekends) and drive incident response from detection through resolution with a primary focus on customer experience
• Build and maintain automation scripts and monitoring tools to reduce manual operational toil
• Author post-incident reviews and root cause analyses, identifying preventive actions and driving them to closure
• Drive improvements to disaster recovery, failover, and incident management processes across multi-region deployments
• Partner with senior engineers and cross-functional teams to implement reliability, observability, and performance best practices
• Communicate clearly with customer-facing stakeholders during incidents, providing status updates and written incident summaries

What We're Looking For

Required qualifications:

• 5+ years of relevant experience in Site Reliability Engineering, DevOps, or Cloud Administration with demonstrated ownership of production systems
• Hands-on experience administering Azure environments, including AKS (Kubernetes), core Azure services, cloud networking, and cloud security fundamentals
• Solid understanding of monitoring, logging, and alerting practices (e.g., Datadog, Azure Monitor, ELK stack), including troubleshooting with log analysis and stack traces using Datadog APM
• Familiarity with networking fundamentals: firewalls, load balancers, VPNs, DNS, and routing
• Experience with automation and scripting using PowerShell, Python, or similar languages
• Practical understanding of backup, redundancy, and disaster recovery strategies in cloud environments, including geo-redundant and multi-region deployments
• Strong ownership mindset across the full incident lifecycle with a customer-first approach
• Comfort communicating clearly and professionally in written form, including incident documentation

Preferred qualifications:

• Experience with AWS Cloud Platform
• Experience with CI/CD tools such as Azure DevOps
• Experience with infrastructure-as-code tools such as Terraform or ARM templates
• Prior experience operating SaaS products with regional tenant architectures across multiple geo-specific production environments

How We Work with You

Get A Job.ai partners exclusively with this client to identify exceptional SRE talent. When you apply through our platform at getajob.ai, one of our specialized technical recruiters will screen your background and experience. Qualified candidates will then be submitted directly to our client for consideration. Please do not contact the client directly, as all applications must be coordinated through our talent team to be considered.

Our recruiters will guide you through the entire process, from initial screening through offer negotiation, ensuring you have the support and information you need at every stage.

Pay

Pay via Get A Job.ai: £70,000 - £85,000 plus 10% annual bonus

Equal Opportunity

Get A Job.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates regardless of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.