Staff Engineer

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

As a Staff Engineer, you’ll shape and scale enterprise automation while bringing generative AI and intelligent agents into production. You’ll solve complex, high-impact problems, lead architecture and engineering standards, and turn promising ideas into secure, reliable, production-ready solutions. This is a hands‑on Staff‑level role where you’ll build, influence technical direction, and mentor engineers to deliver lasting business value.

Responsibilities:

• Lead the architecture and delivery of enterprise automation and AI‑powered solutions, including generative AI applications, intelligent agents, retrieval‑augmented generation, document intelligence, and AI‑assisted process automation, while balancing delivery priorities, operational risk, technical debt, and long‑term maintainability
• Evaluate emerging technologies and AI models to improve automation platforms and engineering practices based on business value, technical fit, and operational risk
• Lead technical delivery across multiple cross‑functional agile teams for enterprise automation and integration initiatives
• Advise Product Owners and business stakeholders on technical feasibility, backlog priorities, solution design, and delivery strategy
• Design and guide the delivery of automation services, APIs, event‑driven applications, and workflow‑orchestration solutions across cloud, on‑premises, and hybrid environments
• Architect Kafka event‑streaming solutions, including producers, consumers, message schemas, and integration patterns
• Define and apply deployment, scalability, resilience, and support patterns for containerized workloads in Kubernetes
• Establish and govern engineering standards for solution quality and operational readiness, including architecture and code reviews, automated testing, security, resilience, observability, release practices, and resolution of complex production issues
• Mentor engineers through design reviews, technical coaching, and collaborative problem‑solving, fostering a supportive environment for growth and shared success

Qualifications:

• Bachelor’s degree in computer science or a related field and 7+ years of enterprise software engineering experience with .NET, C#, SQL Server, REST APIs, JSON, and XML, or 10+ years of equivalent experience
• Experience building or integrating generative AI, intelligent agents, retrieval‑augmented generation, document intelligence, or other AI‑enabled solutions
• 3+ years of experience with Kafka, event‑driven architectures, or messaging platforms
• 3+ years of experience with Kubernetes, Docker, or container orchestration technologies
• 5+ years of experience with DevOps and CI/CD tools such as Azure DevOps or Jenkins
• Strong understanding of distributed systems, integration patterns, and automation frameworks
• Strong analytical and problem‑solving skills, with the ability to communicate complex technical concepts, decisions, and trade‑offs to technical and non‑technical audiences
• Ability to work effectively both independently and within agile teams

Where you’ll be:

4289 Ivy Pointe Blvd., Cincinnati, Ohio 45245

Employment visa sponsorship is unavailable for this position. Applicants requiring employment visa sponsorship now or in the future (e.g., F-1 STEM OPT, H-1B, TN, J1 etc.) will not be considered.