SENIOR SITE RELIABILITY ENGINEER – AI & AUTOMATION.

Primary Responsibilities

• Design and implement AI agents, LLM-based solutions, and operational automation for SRE and DevOps environments.
• Support production systems, perform incident response, troubleshooting, and 24x7 operational triage.
• Develop automation and integrations using Python.
• Build and maintain monitoring and observability solutions using Splunk, Datadog, New Relic, or AppDynamics.
• Design and manage cloud infrastructure across AWS, Azure, and/or GCP.
• Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, and/or AWS CDK.
• Apply AI/ML, prompt engineering, and agentic AI concepts to operational use cases.
• Develop runbook automation, anomaly detection, and intelligent incident management capabilities.
• Collaborate with engineering, operations, and business stakeholders to improve system reliability and operational processes.
• Mentor engineers and help establish SRE, DevOps, automation, and observability best practices.

Required Skills

• 5+ years of SRE, DevOps, or Site Reliability Engineering experience.
• Strong Python development skills for automation, tooling, and integrations.
• Experience with AI agents, LLMs, and agentic AI frameworks.
• Experience with Splunk, Datadog, New Relic, AppDynamics, or similar observability platforms.
• Hands-on experience with AWS, Azure, and/or GCP.
• Experience with Terraform, CloudFormation, and/or CDK.
• Strong production support and incident response experience.
• Knowledge of AI/ML, prompt engineering, and operational AI automation.
• Strong communication, stakeholder management, and mentoring skills.
• Ability to work effectively in a 24x7 operational environment.

Preferred Skills

• Experience with Adobe Experience Manager (AEM).
• Experience supporting CMS platforms and digital applications.
• Knowledge of incident management, runbook automation, and anomaly detection.
• Familiarity with Atlassian Rovo, AI operational tooling, and modern observability platforms.