דרושים » תוכנה » מנהל /ת תחום SAP

Were looking for an experienced team leader to join our data platform team and report to the Director of Engineering. Youll lead a team of back-end and full-stack engineers, working closely with the Product Manager to plan, kickoff, and execute new product and feature development projects. Our ideal candidate is someone who values excellence, is hungry for success, and thrives when working with the best. You'll be responsible for overseeing the design, development, and implementation of our big data architecture.
You'll lead a team of data platform engineers and collaborate with cross-functional teams to drive data initiatives that support business objectives.
Your expertise in Elastic, Kafka, and Java will be critical in ensuring the scalability and performance of our data systems.

What youll do:

Lead and mentor a team of 10+ data platform engineers in the design and development of big data solutions.
Architect and implement data processing pipelines using Kafka for real-time data streaming.
Optimize and manage search capabilities using Elastic technologies.
Collaborate with product managers, data analysts, and other stakeholders to gather requirements and translate them into technical specifications.
Oversee code reviews, ensure best practices in coding and data handling, and maintain high-quality standards in software development.
Stay up-to-date with emerging trends and technologies in big data and recommend improvements to our architecture and processes.
Troubleshoot and resolve issues in a timely manner to minimize downtime and ensure system reliability.
Contribute to strategic planning and decision-making regarding data architecture and tools.
Collect and analyze your teams KPIs.
Participate in customer calls, understand their use cases, and solve their problems.
Collaborate with software teams from Israel, Portugal, Ukraine, Poland, and India.

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, we stand 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 looking for an experienced Algo Deep Learning team leader with proven capabilities to lead the development of new products from concept to production. In this role, you will be leading a highly talented team, while creating diverse algorithms based on computer vision and deep learning.
A day in the life and how youll make an impact:
* Lead a team of algorithm/ DL +CV engineers developing novel and efficient vision and deep learning algorithms from concept to production
* Combine the proper algorithm method to the problem - computer vision & deep learning respectively.
* Evaluate and benchmark different algorithms on unique proprietary datasets.
* Collaborate with team members to define future technology and features.
* Stay abreast of the latest advancements in algorithmic research and implement best practices in algorithm development.

As a key member of the Customer Program Management Team for our Enterprise business units, we are looking for a Senior Customer Program Management professional who will be responsible for customers' activities, leading both internal and external technical & operational program execution with our major cloud service providers and enterprise customers. Come join the team and see how you can make a lasting impact on the world!

What you will be doing:

Execute the program plan you craft by identifying, and assembling the core team, formally kicking off the project with customers, developing a joint project timeline, supporting the design-in effort by providing technical collateral, leading engineering design reviews, ensuring the implementation of any customer-required features, driving resolution of all blocking issues, and ensuring timely customer acceptance and production deployment.

Coordinate and lead sophisticated technical engineering-to-engineering discussions related to system architecture, firmware, device driver, system management, deep learning algorithms, and/or AI workloads.

Align multifaceted global cross-functional team of software & hardware engineering, manufacturing operations, product quality, supplier procurement and/or account executives to lead product changes to product productions on-track.

Regularly report the program status to customer and executive management.

Identify interpersonal learning opportunities for continuous improvements.

Develop a close working relationship with customer development teams and use creativity to find solutions to their issues.

Were seeking a forward-thinking Software Development Team Leader to lead a team of experts building our next-generation Analytics & Modeling Service and support our current activities.

As Analytics Team Lead, youll oversee a multidisciplinary team including all relevant skills to take end to end features from design through implementation, quality assurance, observability and delivery processes, closely interacting with our Data-Science team to constantly deliver innovation Analytics to our customers. Using highly past Agile development with cutting edge technologies to ensure high quality, scalable functionalities with performance in mind. This role is ideal for a highly skilled team leader who thrives in a fast-paced, innovative environment and is passionate about people, technology, and reliable infrastructures.


What Youll Do:

Leading the team in their day-to-day work, guiding the team's work to success

Guide and mentor team members to enhance their skills and support their personal and professional growth

Continuously work to improve the working processes and agility of the team

Oversee and manage the implementation and delivery of new features and enhancements according to the product teams requirements.

Oversee and manage the continuous improvement and evolution of the products infrastructure.

Scale the team by hiring, onboarding, and mentoring future team leaders as the group expands.

Possess an agile mindset and have proven experience with Scrum methodologies.

Take an active part in high-level design discussions.

Create and own metrics that track performance, adoption, and impact.

Job description:
Manage a team and foster an innovative technological culture.
Work closely with project managers, QA managers, infrastructure managers, developers, and the executive staff.
The role requires reliability, transparency in management, high personal responsibility, commitment to success, monitoring and review skills, and serving as a role model.
Develop and lead web projects in the digital department.

We are seeking a visionary and hands-on QA Lead to establish and lead our new, centralized Engineering Quality function.

Your mission is to act as the centralized muscle that researches, defines, implements, and promotes engineering excellence across the company. You will own the quality strategy and enable its adoption through tooling, guidance, and hands-on support, transforming high standards into a company-wide reality.

This is a high-impact role for a leader who is passionate about building robust systems and fostering a culture of excellence.

What Youll Do: Scope & Responsibilities:

As the Engineering Quality Lead, you will be empowered to not only define our quality standards but also to enforce them and implement the solutions needed to achieve them.

Strategy & Vision: Own the company-wide engineering quality strategy. Define, measure, and report on key quality benchmarks and success metrics (KPIs) such as test coverage, Continuous Integration (CI) health, and performance signals.
Tooling & Standards: Research, evaluate, and standardize the tools and best practices for the entire software development lifecycle (SDLC). This includes static code analysis, linters, test coverage, logging, telemetry, instrumentation, and performance tracking.
Drive Adoption & Enablement: Lead the charge in driving the adoption of new standards. You will achieve this through a combination of clear guidance, enablement sessions, and hands-on development alongside product line engineers.
Cultural Leadership & The Quality Guild: Establish and lead the Quality Guild, a cross-company community of engineers passionate about quality. You will identify and mentor these Ambassadors to act as local champions, scale your influence, and create a bottom-up movement of engineering excellence.
Data-Driven Improvement: Continuously report on quality signals to leadership and recommend strategic investments based on measurable gaps and improvement trends.

We are looking for a skilled Full-Stack Engineer with a strong backend orientation to join our R&D team! Were a dynamic group of curious, out-of-the-box thinkers who enjoy tackling complex challenges as much as we love spending time together.

In This Role, You Will:
Deliver scalable backend solutions to support Yotpos vision, ensuring both quality and timeliness.
Lead and participate in the design of complex backend features.
Collaborate closely with developers, Product, Operations, Client Services, and more on architectural and technological topics.

We are growing and looking for a talented & enthusiastic Backend NodeJS Team Leader to manage the application team.. In this position you will:

Be the technical expert and go-to person for the scalable cloud-based backend.

Lead a team of 4 talented developers in Israel and an additional off-shore team in India.

Lead the development of large-scale cloud architecture in AWS for running AI-based analysis and video management.