Site Reliability Engineer

The Site Reliability Engineer role centers on modernizing and consolidating a complex multi-cloud environment across AWS, Azure, and GCP, building a scalable, secure, and observable platform from the ground up using Kubernetes, AI/ML infrastructure, and zero-trust principles. You'll combine DevOps and SRE practices to support mission-driven scientific and clinical programs, emphasizing automation, reliability, compliance, and proactive monitoring while enabling innovation through AI-driven tooling. The team culture is highly collaborative and growth-oriented, valuing experimentation, continuous learning, and cross-functional leadership, with opportunities to shape future multi-cloud and platform engineering solutions.

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

• Stay abreast of new technologies in your areas but not limited to AIOps, MLOps, cloud computing & deployment, site reliability engineering, infrastructure automation, security best practices, data engineering etc. 

   

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