Automation Rdec

At Iron Mountain we know that work when done well makes a positive impact for our customers our employees and our planet That s why we need smart committed people to join us Whether you re looking to start your career or make a change talk to us and see how you can elevate the power of your work at Iron Mountain We provide expert sustainable solutions in records and information management digital transformation services data centers asset lifecycle management and fine art storage handling and logistics We proudly partner every day with our 225 000 customers around the world to preserve their invaluable artifacts extract more from their inventory and protect their data privacy in innovative and socially responsible ways Are you curious about being part of our growth stor y while evolving your skills in a culture that will welcome your unique contributions If so let s start the conversation Key Responsibilities Automation Engineering Architect and implement end-to-end automation pipelines integrating data workflows and business logic Leverage GCP services Cloud Functions BigQuery Pub Sub Cloud Run Vertex AI to deliver scalable cloud-native automations Explore and apply open-source and cost-effective automation frameworks where appropriate Build reusable automation components that accelerate delivery across multiple use cases Optimize performance resilience and cost efficiency of automation solutions Innovation Emerging Tech Evaluate and pilot Agentic AI and GenAI solutions for intelligent orchestration and decision automation Stay ahead of emerging technologies in automation workflow and AI-driven process optimization Bring forward proof-of-concepts to leadership demonstrating feasibility and business impact Leadership Collaboration Lead a small team of developers automation engineers providing technical guidance and mentoring Collaborate closely with business SMEs analytics teams and process excellence leads to identify automation opportunities Partner with EIT and vendors to ensure solutions align with enterprise architecture and governance standards Drive a culture of experimentation agility and reusability in the automation portfolio Governance Impact Establish coding standards integration guidelines and documentation frameworks for automation delivery Ensure automations comply with security compliance and audit requirements Define KPIs for automation success hours saved reusability deployment cycle time sustainability Track and communicate impact to leadership through dashboards and reports Qualifications Experience 8-12 years in automation solution development with at least 3-4 years in a leadership or senior engineering role Hands-on expertise with RPA UiPath Automation Anywhere Blue Prism Python automation workflow orchestration Deep working knowledge of GCP services BigQuery Cloud Functions Cloud Storage Vertex AI Exposure to agentic AI GenAI-based solutions NLP and intelligent automation frameworks Strong understanding of APIs microservices and enterprise integration patterns Experience leading a small engineering team and mentoring developers Proven ability to balance innovation with cost-effective delivery Bachelor s Master s degree in Computer Science Engineering or related discipline What Success Looks Like Enterprise sees faster automation delivery with measurable effort savings Reusable automation pipelines components reduce duplication and speed scale Adoption of next-gen automation technologies Agentic AI orchestration for smarter solutions The RDEC function becomes a recognized innovation hub within GBS High-performing team consistently delivering governed secure and cost-effective automation Category Technology