What are the responsibilities and job description for the Principal Software Quality Engineer position at Talon Professional Services?
Our client is seeking a Principal Quality Engineer to join a group of passionate professionals developing innovative AI products. This role demands deep technical expertise, strong leadership, and the ability to hit the ground running. Our mission is to create a powerful platform, partner ecosystem, and community to help enterprise customers accelerate business success using AI. This is a unique opportunity to shape the next generation of hybrid cloud MLOps platforms, contribute to the development of AI products, and actively engage in open-source communities at the forefront of AI evolution.
As a Principal Quality Engineer, you will work as a core member of an evolving development team, rapidly designing, building, testing, securing, and releasing new capabilities. You will collaborate with cross-functional teams, including Product Management and Software Development Engineers, to gain a deep understanding of features, customer use cases, and technical implementations. This knowledge will enable you to design real-world test plans, build regression test suites, and drive the integration of quality-driven methodologies throughout the software development lifecycle.
You will be responsible for developing and executing both manual and automated tests to accelerate the testing process and improve product quality. Our Quality Engineers are not just black-box testers; they have a deep understanding of software internals, can debug issues, and write automated tests using scripting and user-level automation tools. As an individual contributor, you’ll take ownership of tasks from inception to completion with minimal oversight, while collaborating with other engineers to ensure best practices and high-quality deliverables.
In this role, you’ll also have the opportunity to engage with open-source communities, contribute to the integration of open-source, and partner technologies into a cohesive platform, and play a critical role in delivering high-quality software to customers and open-source ecosystems.
If you're passionate about building quality solutions for distributed systems, solving complex challenges, and contributing to the next wave of AI and MLOps innovation, we invite you to join our team.
What you will do:
- Architect and lead implementation of new features and identify quality improvements for AI
- Innovate in the MLOps domain by participating in upstream communities
- Provide technical vision and leadership on critical and high-impact projects
- Ensure non-functional requirements including security, resiliency, and maintainability are met
- Write unit and integration tests and work with engineers to ensure product quality
- Use CI/CD best practices to deliver solutions as productization efforts into AI
- Ensure that quality of Data Science Pipelines is maintained across integrations with various portions of the AI stack
- Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
- Collaborate with product management, other engineering, and cross-functional teams to analyze and clarify business requirements
- Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts
- Give thoughtful and prompt code reviews
- Represent AI in external engagements including industry events, customer meetings, and open-source communities
- Mentor, influence, and coach a distributed team of engineers
What you will bring:
- Minimum of 5 years of experience
- Development experience in Golang and/or Python
- Advanced experience testing applications in Golang and/or Python
- Advanced experience in Kubernetes, OpenShift, or other cloud-native technologies
- Experience with source code management tools such as Git
- Excellent system understanding and troubleshooting capabilities
- Technical leadership acumen in a global team environment
- Excellent written and verbal communication skills
The following will be considered a plus:
- While a Bachelor’s degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess
- Experience with Pipelines technologies such as Kubeflow Pipelines, Argo, or Tekton
- Experience with CI/CD tools such as GitHub Actions
- Understanding of how Open Source and Free Software communities work
- Experience with development for public cloud services (AWS, GCE, Azure)
