Site Reliability Engineer

Responsibilities

• Design and implement enterprise-grade monitoring and observability frameworks (metrics, logs, traces) across distributed systems using enterprise Splunk, Grafana and OpenTelemetry 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.
• Stay abreast of new technologies in areas including AIOps, MLOps, cloud computing & deployment, site reliability engineering, infrastructure automation, security best practices, data engineering etc.

Requirements

• 6+ years experience in DevOps / SRE roles with monitoring and observability tools (Prometheus, Grafana, ELK, or cloud-native equivalents) for on-prem and cloud hosted workloads.
• 4+ years of hands-on Linux experience that includes Ubuntu/CentOS/Red Hat operating systems, containers, dependency management and administration support.
• 4+ years of experience automating Infrastructure-as-Code (IaC) deployments to Amazon AWS, Google GCP or Microsoft Azure.
• 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).
• Proficiency using vibe coding and coding assistants to develop scripts, tools and applications for the DevOps and SRE use cases.
• 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.
• Willingness to learn new technologies, adopt and adapt to emerging technologies or needs from a project to a project.
• Cloud certifications preferred.
• Certifications in Grafana, Splunk, Docker, Kubernetes preferred but optional.

Nice-to-Haves

• Experience optimizing infrastructure for AI/ML workloads.
• Familiarity with zero-trust principles and multi-cloud environments (AWS, Azure, GCP).
• ITIL process knowledge.