Enablement Engineer

Data Bank Holdings Ltd. is a leading provider of enterprise‑class data center, cloud, and interconnection services, offering customers 100% uptime availability of data, applications, and infrastructure. Data Bank’s managed data center services are anchored in world‑class facilities. Our customized technology solutions are designed to help customers effectively manage risk, improve technology performance, and allow focus on core business objectives. Data Bank is headquartered in the historic former Federal Reserve Bank Building, in downtown Dallas, TX.

Data Bank is proud to be an Equal Opportunity Employer. Our work culture at Data Bank does not discriminate based on actual or perceived race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, disability or handicap, sex, marital status, veterans' status, gender, gender identity, gender expression, genetic information, sexual orientation, or any other characteristic protected by applicable federal, state, or local law.

The Enablement Engineer is a technical individual contributor responsible for implementing, testing, and maintaining automation solutions developed within Data Bank’s Support Experience and Enablement team. Working closely with the Sr. Manager of SEE (Support Experience and Enablement), this role handles the hands‑on engineering execution of the automation roadmap — building integrations, writing and testing scripts, deploying workflows, and supporting the AI chatbot technical build in Year
2. This role sits within the SEE team and reports to the Sr. Manager, Support Experience and Enablement.

The ideal candidate will be highly self‑motivated, detail‑oriented, and comfortable working independently on technically complex automation problems. They will thrive in a collaborative environment, follow established change management procedures, and communicate clearly with both engineering and operations teams. The candidate must be dependable, methodical in their approach to testing and documentation, and capable of managing multiple automation work streams simultaneously.

• Build and deploy automation scripts and workflows under the direction of the Sr. Manager.
• Implement integrations between ticketing systems, monitoring platforms, and automation tools.
• Write clean, documented, maintainable code for all automation deliverables.
• Execute testing and validation for automation deployments before go‑live.
• Support the Sr. Manager in delivering the 8–12% ticket deflection target by Month 12.
• Leverage AI tools to enable customer‑facing self‑service capabilities, reducing inbound ticket volume and improving response times.
• Support internal teams through AI‑assisted tools and workflows, improving engineer efficiency and consistency of resolution across Tier 1 and Tier 2.

• Maintain deployed automation solutions and respond to failure alerts or degraded performance.
• Build and maintain API integrations between Data Bank’s operational toolset.
• Document all integrations and automation logic in the knowledge base.
• Monitor automation performance and surface Optimization Opportunities.

• Work with Tier 1 and Tier 2 engineers to understand workflow requirements before automating.
• Participate in automation candidate identification with the Sr. Manager and operational teams.
• Adhere to Data Bank change management and documentation standards for all deployments.

• Bachelor’s degree in Computer Science, Information Technology, or related field; or equivalent work experience.
• 2+ years of experience in IT automation, scripting, or systems integration.
• Hands‑on experience building and deploying automation in an operational IT environment.
• Experience working with managed services or enterprise infrastructure environments.
• Proficiency in scripting languages (Power Shell, Python, Bash, or similar).
• Experience with REST API integration and webhook development.
• Familiarity with ticketing and monitoring platform APIs (Connect Wise, Service Now, or similar).
• Understanding of Windows/Linux server administration, VMware, and network fundamentals.
• Ex…