Site Reliability Engineer

Responsibilities

• Design and implement enterprise-grade monitoring and observability frameworks (metrics, logs, traces) across distributed systems using enterprise Splunk, Grafana and Open-telemetry tools
• Establish and manage SLIs, SLOs, and error budgets to drive reliability improvements
• Develop and maintain real-time asset inventory systems across cloud, on-prem, and hybrid environments
• Automate workload onboarding and offboarding processes, ensuring standardization and governance
• Track system ownership, dependencies, and lifecycle states for operational transparency
• Build proactive detection mechanisms using AIOps and intelligent alerting to minimize incident impact
• Design and operate scalable, resilient, and secure infrastructure platforms across cloud and hybrid environments
• Implement automated compliance tracking and enforcement aligned with organizational and regulatory standards (e.g., NIST, FISMA, FedRAMP)
• Embed ITIL processes (incident, change, problem, configuration management) into SRE workflows
• Build and maintain automated deployment environments and pipelines that enforce security, compliance, and operational standards
• Develop "golden paths" and standardized platform templates for consistent workload deployment
• Automate provisioning, patching, configuration management, and environment lifecycle
• Leverage AI/ML coding assistants and vibe coding practices to rapidly develop automation scripts, tools, and internal platforms
• Integrate AI-driven tooling into DevOps pipelines for code quality, security scanning, and operational insights
• Lead adoption of AI-enhanced SRE practices, including intelligent remediation and predictive operations
• Champion DevOps and SRE practices including Infrastructure as Code, CI/CD, observability, and reliability engineering
• Build developer-friendly platforms ("golden paths") that simplify deployments, reduce friction, and improve velocity
• Enable and optimize infrastructure for AI/ML workloads, including data pipelines, storage systems, and inference environments, GPU-enabled and high-performance compute workloads
• Build and manage containerized and orchestrated platforms (Docker, Kubernetes)
• Support cloud migration, modernization, and platform standardization initiatives
• Ensure systems meet security, compliance, backup, and disaster recovery requirements
• Evangelize and promote best practices in DevOps, SRE, and platform engineering to developer communities

Requirements

• Must have total of 6+ experience DevOps / SRE roles with monitoring and observability tools (Prometheus, Grafana, ELK, or cloud-native equivalents) for on-prem and cloud hosted workloads
• Must have 4+ years of Hands-on Linux experience that includes Ubuntu/CentOS/Red Hat operating systems, containers, dependency management and administration support
• Must have 4+ years of experience automating Infrastructure-as-Code (IaC) deployments to one of the following cloud platforms Amazon AWS, Google GCP and Microsoft Azure
• Must have 4+ years with CI/CD and automation tools such as Terraform, Ansible, Chef, Puppet, Jenkins, GitHub Actions
• Strong scripting skills (Python, Bash, PowerShell or similar)
• Must be proficient using vibe coding and coding assistants to develop scripts, tools and applications for the DevOps and SRE use cases
• Must have proficiency to debug or troubleshoot and/or deploying SQL and/or NoSQL databases, object storage, web servers, open-source programming stack for Node.JS, R, Python, .NET Core, Java is desired but not mandatory
• Must be willing to learn new technologies, adopt and adapt to emerging technologies or needs from a project to a project
• Cloud certifications is preferred
• Certifications in Grafana, Splunk, Docker, Kubernetes is preferred but optional

Compensation

• Salary Range: $140,000—$155,000 USD