Senior Site Reliability Engineer

About This Opportunity

We are representing a confidential enterprise software organization seeking a Senior Site Reliability Engineer to join their fully remote team. Our client is a rapidly growing platform company operating across multiple global markets, and they need an experienced infrastructure professional who thrives on building reliable, scalable systems that empower development teams.

In this role, you'll design and maintain Kubernetes-based multi-cloud infrastructure, implement monitoring and observability solutions, and collaborate directly with product and engineering teams to solve complex technical challenges. You'll own critical systems end-to-end, drive automation initiatives, and mentor engineers who want to elevate their infrastructure expertise.

Responsibilities

• Design, build, and maintain Kubernetes-based multi-cloud platform architecture with a focus on availability, scalability, and fault tolerance
• Establish configuration best practices and network services that engineering teams depend on daily
• Implement and continuously improve monitoring, alerting, and observability tools that provide meaningful visibility into system health and performance
• Participate in on-call rotations and serve as the technical expert for incident response and resolution
• Create comprehensive runbooks and automation that transform complex operational challenges into manageable, repeatable processes
• Collaborate cross-functionally with product engineering, product management, and support teams to define and deliver infrastructure features
• Identify repetitive operational work and build automation to eliminate toil across the organization
• Mentor less experienced engineers on complex infrastructure topics, breaking down technical problems into clear, actionable steps
• Conduct root cause analysis following incidents and implement preventive measures

What We're Looking For

Required Qualifications:

• Deep, hands-on production experience building, deploying, and maintaining Kubernetes clusters at scale, including workload management, networking, and storage
• Strong expertise with infrastructure as code tools such as Terraform or similar IaC platforms, including versioning, testing, and safe deployment practices
• Proven experience implementing monitoring and observability solutions using tools like Prometheus, Grafana, or comparable platforms
• Demonstrated 3rd-level support and incident response capabilities, with experience diagnosing complex production issues and communicating effectively with stakeholders under pressure
• Passion for automation and continuously raising quality standards across infrastructure systems
• Responsible use of AI tools for research, code review, documentation, and automation, with strong judgment about validation, confidentiality, and accountability

Preferred Qualifications:

• Experience with major cloud providers such as AWS (EKS), Google Cloud Platform (GKE), or similar managed Kubernetes services
• Hands-on experience with ArgoCD or GitOps workflows for declarative infrastructure management
• Proficiency in Python, Go, or similar programming languages for building automation tools
• Experience defining service level objectives (SLOs) and implementing effective alerting frameworks

How We Work With You

As a specialized recruiting firm, Get A Job.ai connects exceptional technical talent with leading organizations. When you apply through our platform, one of our experienced recruiters will review your background and schedule a screening conversation to understand your goals, experience, and what you're looking for in your next role.

If there's a strong mutual fit, our talent team will submit your profile directly to our client and guide you through each stage of their interview process. We'll provide feedback, prepare you for conversations, and advocate on your behalf throughout. Please note that all applications must come through Get A Job.ai—direct contact with the client is not part of this process.

Pay

Compensation details will be discussed during the screening process and are dependent on experience, qualifications, and geographic location.

Equal Employment Opportunity: Get A Job.ai is committed to creating an inclusive recruitment process. We welcome applications from candidates of all backgrounds and provide equal opportunity without regard to race, color, religion, sex, national origin, age, disability, or any other protected characteristic under applicable law.