Job Summary
Job Description – SRE Automation Engineer 1. Job Summary The SRE Automation Engineer is responsible for designing, developing, and maintaining automation solutions that improve service reliability, eliminate operational toil, enhance user experience, and accelerate incident resolution across enterprise applications and platforms. The role drives automation-first operations through Infrastructure as Code (IaC), CI/CD pipelines, self-healing capabilities, AIOps, Agentic AI, and operational workflow automation. The engineer works closely with SRE teams, application support teams, platform engineering, and development teams to improve availability, scalability, resiliency, and operational efficiency while ensuring adherence to SLOs, SLIs, Error Budgets, and operational KPIs.
Key Responsibilities
Key Responsibilities Automation Engineering & Development • Design, develop, test, and deploy automation solutions across application, platform, and operational domains. • Build reusable automation frameworks, templates, scripts, and workflows. • Develop self-service capabilities for operations teams and business users. • Implement event-driven and policy-based automation solutions. • Create and maintain automation standards and coding practices. Toil Reduction & Operational Excellence • Identify repetitive manual activities suitable for automation. • Drive measurable reduction of operational toil across support teams. • Improve efficiency of incident, request, and problem management processes. • Automate routine operational tasks and service restoration activities. • Track and report automation benefits and hours saved. Self-Healing & Auto-Remediation • Develop automated remediation workflows for recurring incidents. • Build self-healing capabilities integrated with monitoring and observability platforms. • Implement automated restart, recovery, failover, and service restoration mechanisms. • Enable closed-loop remediation through AIOps platforms. AIOps & Agentic Operations • Develop AI-driven operational automation use cases. • Implement intelligent alert correlation, noise reduction, and root cause analysis automation. • Build AI Agents and operational copilots to support service operations. • Enable predictive analysis and automated operational decision-making. CI/CD & Infrastructure Automation • Develop and maintain CI/CD automation pipelines. • Implement Infrastructure as Code (Ansible, Terraform, CloudFormation, ARM/Bicep). • Automate environment provisioning, configuration management, and deployments. • Ensure automation integrates with DevSecOps controls and quality gates. Observability & Reliability Engineering • Integrate automation with monitoring, logging, tracing, and observability platforms. • Automate response to reliability and performance threshold breaches. • Support SLI, SLO, and Error Budget management activities. • Develop reliability-focused automation use cases. Incident & Problem Management • Support major incident automation initiatives. • Automate diagnostic data collection and triage processes. • Develop automation supporting RCA and Problem Management activities. • Reduce Mean Time to Detect (MTTD) and Mean Time to Restore (MTTR). Governance & Standards • Ensure automation solutions meet security, compliance, and audit requirements. • Maintain automation documentation, runbooks, and knowledge repositories. • Participate in automation reviews and architecture governance boards. • Promote automation best practices across engineering teams.
Skill Requirements
Technical Skills Automation Tools • Ansible • AWX / Ansible Automation Platform • Jenkins • GitHub Actions • Azure DevOps Pipelines • GitLab CI/CD Scripting & Development • Python • PowerShell • Bash/Shell • JavaScript • REST API Development Infrastructure & Cloud • Terraform • CloudFormation • Kubernetes • Docker • Azure • AWS Monitoring & Observability • Splunk • AppDynamics • Elasticsearch ITSM & Workflow Automation • ServiceNow • Jira • Automation Anywhere / RPA Platforms • Workflow Orchestration Solutions AI & AIOps • Splunk ITSI • AI Agents / Copilot Technologies • Agentic AI Frameworks
Other Requirements
• 10+ years in Application Operations, SRE, DevOps, Platform Engineering, or Automation Engineering. • Strong background in scripting and infrastructure automation. • Experience implementing CI/CD and IaC solutions. • Experience with enterprise monitoring and observability platforms. • Experience developing self-healing and auto-remediation solutions preferred. • Exposure to AI/GenAI/AIOps implementations preferred.
Behavioral Competencies\\\\r\\\\n• Automation-first mindset.\\\\r\\\\n• Strong analytical and problem-solving skills.\\\\r\\\\n• Innovation and continuous improvement focus.\\\\r\\\\n• Ability to influence multiple technical teams.\\\\r\\\\n• Strong communication and stakeholder management skills.\\\\r\\\\n• Customer and reliability-centric approach.