Staff Engineer: AI Automation & Enterprise Platforms

TQL; Cincinnati (OH); On-site; USD 140,000 - 190,000; Full time

Job summary

TQL is seeking a Staff Engineer to shape and scale enterprise automation, using generative AI and intelligent agents in production. This hands-on role will set architectural direction, drive standards, and mentor engineers to deliver reliable, secure systems.

You will lead multi-team delivery, evaluate new AI technologies, and design scalable automation services across cloud, on‑prem, and hybrid environments. Impact will be measured by business value and system resilience.

Qualifications

• Bachelor's degree in computer science or a related field.
• 7+ years of enterprise software engineering with .NET, C#, SQL Server, REST APIs, JSON and XML.
• 3+ years of Kafka, event-driven architectures or messaging platforms.
• 3+ years of Kubernetes, Docker or container orchestration technologies.
• 5+ years of DevOps and CI/CD tools such as Azure DevOps or Jenkins.
• Strong analytical, problem-solving and communication skills; able to explain complex concepts.

Responsibilities

• Lead architecture and delivery of enterprise automation and AI-powered solutions with focus on maintainability.
• Evaluate new technologies and AI models to improve automation platforms and practices.
• Lead technical delivery across cross-functional agile teams.
• Advise Product Owners on feasibility, priorities and design choices.
• Design automation services, APIs, event-driven apps, and orchestration across cloud/on-prem/hybrid.
• Architect Kafka streaming solutions and data schemas.

Skills

Leadership

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

.NET

C#

SQL Server

REST APIs

JSON

XML

Kafka

Event-driven architectures

Kubernetes

Docker

Azure DevOps

Jenkins

Job description

TQL is seeking a Staff Engineer to shape and scale enterprise automation, using generative AI and intelligent agents in production. This hands-on role will set architectural direction, drive standards, and mentor engineers to deliver reliable, secure systems.

You will lead multi-team delivery, evaluate new AI technologies, and design scalable automation services across cloud, on‑prem, and hybrid environments. Impact will be measured by business value and system resilience.