Automation Engineer

Role Summary:

As an Automation Engineer reporting to the Director of Production Control and Automation within our enterprise service management team, you will lead the delivery of automation, monitoring and generative AI solutions across our core functions. This position offers a high-impact, creative playground for passionate individuals to turn complex workflow challenges into customer centric solutions. Your primary objective will be to creatively implement end-to-end, AI and/or automation powered solutions that elevate performance & reliability posture of our applications and transform how our organization gets work done.

Responsibilities:

• Solution Delivery : Own end-to-end engagement with internal customer teams, using active listening to translate requirements and ideas into fully executed solutions.

• Observability & Splunk: Perform in Splunk data onboarding, write SPL queries to expand platform visibility, drive proactive monitoring, and accelerate root-cause troubleshooting across the enterprise.

• AIOPS & Workflow Automations:: Design and build Orchestration, Automation, and Response playbooks and custom automation scripts to eliminate manual operational toil, streamline incident response, and reduce Mean Time to Repair (MTTR).

• Generative AI Integration: Leverage Generative AI tools, prompt engineering, and LLM integrations to optimize internal engineering workflows, automate routine scripting tasks, and drive cross-functional productivity gains.

• Automation Scripting & Technical Problem Resolution: Develop automation scripts (Python, Shell, REST APIs) to resolve complex system bottlenecks, fill operational capability gaps, and enhance overall platform reliability in collaboration with cross-functional IT teams

Required Qualifications:

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related technical field.

• At least 3 years of experience in automation/engineering related projects, demonstrating hands-on coding proficiency in scripting (Python, JavaScript/TypeScript, or other modern backend development languages.)

Preferred Qualifications:

• Applied experience with prompt engineering, and platforms leveraging LLMs (Retool, CursorAI, etc)

• Proven experience evaluating customer requirements and translating them into technical system diagrams and solution deliverables.

• Splunk Certifications: Active Splunk Core Certified Power User (or higher) certification,

• Emerging AI & Automation Frameworks: Practical project experience building Retrieval-Augmented Generation (RAG) pipelines, custom AI agents, or prompt engineering scripts to drive operational efficiency.

• Scripting & Software Certifications: Recognized certification in Python, Shell, or related backend scripting languages used for API integrations and SOAR playbook development.

• Cenoti & SAP: Hands-on experience integrating and managing Splunk with enterprise ERP systems (e.g., SAP integration using Cenoti).