לוח משרות דרושים QA אוטומציה

Develop and implement qualification and reliability test methodologies for advanced storage systems.
Perform large-scale data analysis of storage behavior, focusing on finding anomalies and improving the overall storage product.
Design and maintain automation tools, dashboards, and analysis scripts (Python, SQL, Matlab, etc.) to accelerate debug and improve reporting.
Collaborate closely with cross-functional Apple teams (FW, Algorithms, System teams)
Drive triage and root-cause across device, firmware, algorithms, and system domains; propose fixes and track closure to sign-off.
Communicate results and recommendations to both technical and executive audiences.

We are seeking a highly motivated and skilled Release Engineer to join our AIOps group.

In this role, you'll play a critical part in bridging the gap between development and operations, ensuring the seamless qualification, deployment, and monitoring of our AI algorithms and infrastructure, and be responsible for the end-to-end operationalization of our core technology.

A day in the life and how youll make an impact:
Manage the end-to-end release process of machine learning algorithms and infrastructure components, from qualification through deployment.
Validate and test new algorithm releases to ensure they meet performance, stability, and compliance standards.
Create and execute deployment plans across various environments (staging, production), ensuring minimal risk and downtime.
Collaborate closely with AI researchers, MLOps, and software engineers to understand release requirements, share feedback, and resolve pre-release issues.
Identify and drive automation opportunities within the release pipeline to improve efficiency, reliability, and traceability.
Oversee updates to infrastructure components, ensuring compatibility and performance across systems.
Monitor deployments, proactively identify issues related to model behavior or infrastructure anomalies, and drive resolution with relevant teams.
Maintain clear and accurate release documentation, including version history, deployment notes, and incident reports.

We're looking for an innovative Prompt Engineer to join our team, combining classic QA expertise with cutting-edge language model technology. This unique role sits at the intersection of Quality Assurance and Generative AI, helping shape how our company leverages advanced technology.
In This Role, You Will Be Responsible For:
Designing and developing sophisticated prompts to enhance functionality across our applications and platforms.
Creating and executing comprehensive TEST suites for our intelligent systems.
Performing both manual and automated Quality Assurance to ensure optimal performance.
Contributing to system architecture decisions and technical planning.
Innovating new methodologies for implementing AI features within us.
What Makes This Role Unique:
This position combines traditional QA expertise with the emerging field of prompt engineering.
You'll be responsible for planning and creating features that leverage language models while mastering the art of prompt crafting to achieve optimal results. As prompt engineering is an evolving field, you'll have the opportunity to shape best practices and develop innovative solutions.
Our MissionOur mission is to elevate how finance teams operate in the global economy.
We empower our customers to scale faster and smarter by removing the complexities of doing global business and accelerating their finance operations efficiency.
We are the AI-powered platform that automates finance.Tipalti is fueled by a commitment to our customers and a desire to build lasting connections. Our client portfolio includes high-velocity businesses such as Amazon Twitch, GoDaddy, Roku, WordPress.com, and ZipRecruiter. We work hard for our 99% customer retention rate which is built on trust, reliability and innovation. Tipalti means we handled it" - a mission to which we are constantly committed.AccommodationsTipalti champions inclusive teams, in which every voice counts. We are committed to recruiting diverse candidates with varied personal experiences and abilities. We welcome applications from candidates belonging to historically underrepresented or disadvantaged groups, and maintain an equitable Talent Acquisition process that is free from discrimination.As an equal opportunities employer, we complies with employment and human rights laws across the various jurisdictions in which we operate. Should you require reasonable adjustments or accommodations during the recruitment process, including access to alternate formats of materials, meeting spaces, or other accommodations that could better enable your full participation, please reach out to us for assistance.
Privacy About:
We are committed to protecting the privacy interests of job applicants and candidates. For more information about our privacy practices during our Talent Acquisition process, please refer to our Job Candidate Privacy Notice.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are seeking a highly motivated and skilled Release Engineer to join our AIOps group. In this role, you'll play a critical part in bridging the gap between development and operations, ensuring the seamless qualification, deployment, and monitoring of our AI algorithms and infrastructure, and be responsible for the end-to-end operationalization of our core technology.
A day in the life and how you’ll make an impact:
* Manage the end-to-end release process of machine learning algorithms and infrastructure components, from qualification through deployment.
* Validate and test new algorithm releases to ensure they meet performance, stability, and compliance standards.
* Create and execute deployment plans across various environments (staging, production), ensuring minimal risk and downtime.
* Collaborate closely with AI researchers, MLOps, and software engineers to understand release requirements, share feedback, and resolve pre-release issues.
* Identify and drive automation opportunities within the release pipeline to improve efficiency, reliability, and traceability.
* Oversee updates to infrastructure components, ensuring compatibility and performance across systems.
* Monitor deployments, proactively identify issues related to model behavior or infrastructure anomalies, and drive resolution with relevant teams.
* Maintain clear and accurate release documentation, including version history, deployment notes, and incident reports.