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We are looking for a highly skilled AI Engineer with a strong engineering mindset to bridge the gap between research and production.

In this role, you will be responsible for validating AI models developed by our Data Science team against real-world production systems, and then leading their optimization, deployment, and ongoing maintenance.

You will be part of the R&D team, working closely with engineers, data scientists, and product managers to ensure our AI solutions are scalable, reliable, and deliver long-term value.

If you enjoy working at the intersection of AI and engineering bringing models to life in production, optimizing for performance, and building reliable systems this role is for you!

Responsibilities
Lead the transition of AI models from proof-of-concept to full-scale production, ensuring they meet architectural, scalability, and performance standards.
Build observability and troubleshooting tools for AI services in production, including logging, performance tracking, and failure analysis pipelines.
Optimize inference performance, including latency, resource usage, and throughput, while maintaining model quality.
Manage model versioning and deployment readiness, including handoff processes, rollback plans, and configuration management.
Partner with the Data Science team to assess model readiness for production, validate input and output compatibility, and ensure assumptions align with real-world system behavior.
Collaborate cross-functionally with DevOps, backend engineers and data scientists to ensure scalable, secure, and cost-effective deployment of ML models

We are looking for a skilled DevOps Engineer to join our R&D infrastructure team and play a key role in building and scaling cloud-based platforms. In this position, you will design, implement, and maintain modern CI/CD pipelines, manage multi-cloud environments, and support microservices-based architectures. You will work closely with developers, QA, and product teams to streamline delivery processes, improve system reliability, and ensure smooth deployments. This is a hands-on role where you will directly influence the stability, scalability, and efficiency of our production systems while leveraging cutting-edge technologies across AWS and Azure.

Responsibilities
Infrastructure as Code (IaC): Develop and maintain infrastructure using tools like Terraform, Ansible
Cloud Infrastructure Management: Deploy, manage, and monitor applications in cloud environments(aws and Azure)
Collaboration & Support: Work closely with developers, QA, and product teams to streamline releases and improve productivity.
Provide technical support for development and operations teams during incidents and deployments.
CI/CD Pipeline Management:
Design, implement, and maintain continuous integration and delivery pipelines. Automate build, test, and deployment processes to improve speed and reliability.

We are looking for a forward-thinking Data Scientist with a passion for Generative AI (GenAI) and emerging AI technologies. This role is ideal for those who thrive in rapid prototyping, proof-of-concept (PoC) development, and iterative experimentation. You will work across multiple projects, transforming innovative ideas into practical AI solutions while engaging with clients for feedback and improvement.

Responsibilities
Generative AI Innovation & Research: Design PoCs with LLMs, RAG, RL, and agent-based AI. Apply emerging AI methods to real-world business needs.
Prototyping & Implementation: Translate research into scalable prototypes and production solutions. Ensure models are efficient, adaptable, and enterprise-ready. Lead integration, A/B testing, and phased rollouts.
AI Engineering & Deployment: Architect scalable GenAI solutions for banking. Own the full lifecycle: deployment, monitoring, incident response. Build dashboards, detect model drift, and integrate feedback loops.

Join us as a Senior DevOps Engineer and shape our cloud infrastructure strategy as we scale. You'll lead critical initiatives across our development lifecycle while working with cutting-edge technologies in a collaborative, growth-focused environment.
You will:
Design and implement cloud infrastructure across development, testing, and production environments on AWS.
Ensure our production environment maintains the highest standards of stability, availability, and performance.
Review the current automation strategy partnering with stakeholders to implement a holistic, scalable solution that supports our multi-year growth trajectory
Work with the Information Security team to improve security, enhance data isolation, access controls and network/application security across our infrastructure.

Were dedicated to continually improving our product and providing relentless customer service. We are always looking for exceptional talent to join us on the journey!

Responsibilities:

Design and develop tools for managing and applying DevOps principles, such as CI/CD automation and IaC.(Infrastructure as Code) on our Cloud-based production systems.
Maintain and optimize the application layer of a multi-DC environment.
Manage various infrastructure applications K8, Kafka, Redis, and others.
Deliver solutions, architectures, and automation Nuvei Application.
Conduct research to bring innovative solutions to a complex environment to improve processes and tech stack.
Leading cross-functional projects and initiatives.
Application and infrastructure logging and monitoring solutions.
Join the on-call duty 24X7.

Were looking for a passionate Software Engineer to join our growing Payments OS Team. Youll have the opportunity to work with the most professional people on building new payment solutions for Papaya Global's rapidly growing business, from design and development to testing and production.
We use the latest technologies and architecture, with Java, hosted on AWS Cloud and orchestrated with Kubernetes for both development and production.
You Will:
Design and implement backend solutions for payment processing, ensuring reliability, scalability, and security in global transactions.
Take an active role in defining architecture and enhancing the capabilities of our payment products.
Ensure high-quality code, including automated testing, design reviews, and code reviews.
Stay up-to-date on the latest technologies and design patterns in development and testing.
Work in a collaborative environment with architects, product managers, and fellow developers to deliver robust solutions.

Were looking for an experienced Team Leader to join our growing R&D.
We use Java to develop our backend and use the latest AWS services for development and production environments.
You will:
Hire, mentor, and grow a full-stack agile engineering team, fostering a culture of technical excellence and innovation
Take a hands-on approach in developing the tools and infrastructure for our data processes
Work closely with product team to understand and define requirements
Manage your team tasks and ensure quality and timely execution using agile methodologies
Keep up-to-date on the latest techniques in management, development, and testing

Were looking for an experienced and highly motivated Full Stack Engineer to join our Platform Team.

This team is responsible for building and maintaining core cross-team product systems that serve the entire organization and enable fast, consistent, and high-quality development across multiple products.
The ideal candidate is a product-minded engineer with a strong technical background, who thrives on designing scalable and maintainable systems that empower teams and enhance user experience.
:bulb: This is a hybrid position based in Jerusalem, with at least 2 days per week in-office required. Our office is conveniently located in Jerusalem's Central Bus Station (across the street from the train station)
Responsibilities
Design and develop end-to-end features used across multiple products and teams.
Build and maintain cross-team systems that support scalability, reusability, and consistency.
Develop and evolve shared UI infrastructure and internal tools.
Collaborate with product and engineering teams to identify platform needs and deliver high-impact solutions.
Ensure code quality, scalability, and performance across all layers of the stack.
Write clean, testable, and maintainable code following best practices.
Provide occasional evening support (e.g., responding to Slack inquiries when needed).

We are looking for a talented Escalations Engineer to join our team!

In this key role, youll debug and implement solutions for complex customer problems, design tools and environments for debugging and supportability, and serve as the technical bridge between our engineering and delivery teams.



Responsibilities


Serve as the primary engineering contact for critical customer escalations, ensuring timely and effective resolution of complex technical issues.
Debug, reproduce, and implement solutions for problems reported in customer environments.
Build and maintain advanced test setups that simulate real-world customer scenarios.
Analyze system logs, performance metrics, and network traces to identify root causes and drive permanent fixes.
Collaborate closely with R&D to improve product supportability and overall reliability.
Provide technical leadership and consulting to field engineers, delivery teams, and customers during escalations and product rollouts.
Document findings, create technical knowledge articles, and contribute to internal tools and processes for continuous improvement.
Lead post-incident reviews (RCA) and communicate insights to engineering and support stakeholders.
Continuously expand knowledge of CTERAs products, storage protocols (SMB/NFS), file systems, and network topologies.

Were looking for a SENIOR C++/PYTHON Tech Lead to help build and evolve our high-performance, scalable software systems. In this role, youll own major development efforts in a Linux-based environment, modernize existing codebases, and contribute to a robust platform used in demanding environments.

Youll be part of an engineering team that thrives on ownership, clarity in architecture, and tight-knit collaboration to ship high-quality software at scale


Responsibilities


Design and implement efficient, production-ready C++ applications on Linux
Translate use cases and requirements into scalable, high-quality code
Refactor and modernize legacy codebases for better maintainability and performance
Identify and resolve bottlenecks across the stack using tools like eBPF
Collaborate cross-functionally with infrastructure, QA, and product teams
Ensure system quality via automated testing and CI/CD best practices
Participate in code reviews, design discussions, and mentoring

We are looking for outstanding candidates with hands-on experience in software development. If you are a team player with excellent communication skills and motivation to investigate state-of-the-art directions and revolutionize application performance, youre welcome on board!
What will you be doing?
Envision, design and develop new features in all layers of the HPC / AI stack, from the application level, through the programming model (e.g. OpenMP, MPI) and down to the supporting libraries/middleware
Research, design and implement features for HPC / AI applications using parallel programming models (e.g. OpenMP, MPI), accelerators offloading and memory tiers.
Contribute to open-source scientific computing, networking and I/O libraries
Research, design and assist in developing hardware offloads for features relevant for scientific, deep learning, and data-intensive workloads.

We are currently looking for a Performance Simulation Expert develop and evaluate next generation performance features as well as develop the future generation of our Compute system simulation infrastructure, models and analysis tools.
Responsibilities:
Develop and analyze performance and power features in our cycle accurate pre-silicon model and improve the accuracy of the current Server system simulator
Design the architecture of the new generation system simulation platform that will be used to analyze performance of Server (Compute and AI) workloads and identify performance bottlenecks
Develop new technologies, methodologies and tools for simulation. Analysis and debug of applications and workload on Huawei servers
Propose and simulate optimizations and innovations on the HW and SW in order to improve server performance for given workloads
Distribute the simulation platform, train and support other teams in China and in Europe using the simulation platform, technology and methodology