Staff Engineer

TQL•Cincinnati, OH

9d•Onsite

About The Position

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. The position is located at 4289 Ivy Pointe Blvd., Cincinnati, Ohio 45245. Employment visa sponsorship is unavailable for this position.

Requirements

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.

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, 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 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.