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Abra is seeking an experienced Release Manager to lead and manage end-to-end release processes across Web, Backend, and Mobile platforms within a large and complex technological organization. Key Responsibilities Release Management Across All Platforms:
* Own and manage annual and quarterly release schedules.
* Plan, coordinate, and lead all release phases across environments: DEV, UAT, PERF, and PROD.
* Manage release deployment processes for Web, Backend, iOS, and Android platforms.
* Work closely with Squads (Scrum Masters, Product Managers, etc.) to ensure release readiness.
* Coordinate regression, performance, sanity testing, and pilot activities prior to production deployment. Work Environment & Governance:
* Lead weekly Production forums (including release approvals).
* Manage ongoing status meetings with Project Managers, Scrum Masters, and DevOps teams.
* Coordinate and lead release risk assessment meetings.
* Collaborate with Development Managers, DBAs, DevOps engineers, and external integration teams. Release Process Optimization & Governance:
* Own and maintain Jira, Confluence, and other release tracking tools.
* Continuously improve deployment processes across Web, Mobile, and Backend platforms.
* Ensure releases comply with Information Security, regulatory, and compliance requirements.
Professional Experience:
* 3–5+ years of experience in Release Management within large technological organizations.
* Experience managing Mobile releases (iOS and Android).
* Experience working with Agile/Scrum methodologies.
* Hands-on experience with Jira, Git, Bitbucket, Jenkins, GitLab CI/CD.
* Experience managing deployment and release processes in multi-environment systems.
* Experience working with Cloud platforms (AWS, Azure, GCP) – significant advantage. Technical Skills:
* Strong understanding of CI/CD and DevOps processes.
* Experience with Fastlane, App Store Connect, and Google Play Console – strong advantage.
* Basic knowledge of SQL and DBA concepts – advantage.

Were looking for a Senior Software Engineer to join the AZ Team in Tel Aviv - a group of passionate developers building the secure, scalable backbone of our Customer Experience (CX) Platform.

As a key member of the AZ Team, youll play a pivotal role in shaping the foundations of our CX Platform - driving features and architectural decisions from concept to production-grade solutions. Youll design and build secure, scalable systems for user management, authentication, authorization, and data access that serve thousands of developers across us.

You will:

Design, develop, and build platform-wide authentication and authorization services, creating a cohesive identity fabric that integrates seamlessly with multiple identity vendors and systems.

Lead the evolution of the data consumption layer, enabling governed, efficient, and context-aware access to data across the CX ecosystem.

Drive architectural decisions from concept to production, ensuring solutions are secure, scalable, and optimized for both developer experience and operational excellence.

Leverage AI and automation to enhance access control, anomaly detection, and developer productivity - turning complex platform insights into actionable intelligence.

Collaborate cross-functionally with product, data, and infrastructure teams to build interoperable solutions that power our next-generation developer platform.

Influence platform-wide engineering standards, promoting robust design, observability, and maintainability across services.

Champion developer experience, crafting APIs, SDKs, and tools that simplify integration and accelerate innovation.

Mentor and guide engineers, fostering a culture of technical depth, curiosity, and impact-driven innovation.

We are looking for an AI Quality & Evaluation Engineer to own the quality planning and execution of an AI-powered chat application operating over complex law enforcement and mobile device data.
This is a highly hands-on role focused on execution rather than high-level QA strategy. You will design, build, and run automated and semi-automated tests for LLM-driven workflows, create evaluation datasets, and continuously stress the system with realistic and extreme investigative scenarios.
What you will be doing:
Design, plan, and execute quality tests for an AI chat application built on LLMs and investigative data.
Build and maintain automation frameworks for prompt regression testing, multi-turn conversations, and model upgrades.
Create and curate evaluation datasets used for regression testing, benchmarking, and model comparison.
Design complex investigative scenarios including ambiguous, incomplete, or conflicting datasets.
Execute manual exploratory testing to uncover hallucinations, reasoning failures, and edge cases.
Work closely with engineering, product, and data teams as part of the development lifecycle.
Validate release readiness and identify regressions related to prompts, models, or data pipelines.
What makes this role different:
You are evaluating AI behavior rather than fixed expected outputs.
You help define what correctness and quality mean for AI reasoning over sensitive data.
You actively invent scenarios to stretch and break the system.
Your work directly impacts trust, reliability, and investigative confidence.

We are looking for a QA Automation Engineer to join our Viewer team and help ensure the reliability, scalability, and performance of our web applications. In this role, you will design and maintain automation frameworks, develop end-to-end tests, and proactively identify issues before they impact our users. You will also be responsible for production releases and managing production bugs, ensuring smooth deployments and quick resolution of critical issues. This position requires strong technical expertise, self-management, and excellent communication skills to collaborate effectively across teams.
Key Responsibilities:
Design and maintain robust test automation frameworks using JavaScript/TypeScript.
Develop and execute automated tests leveraging tools such as Playwright, Selenium, or Cypress.
Collaborate with developers, product managers, and designers to embed quality throughout the development lifecycle.
Debug complex issues using browser DevTools, network logs, and other diagnostic tools.
Integrate automated tests into CI/CD pipelines in partnership with DevOps and engineering teams.
Drive quality initiatives by identifying gaps and proposing improvements in testing processes.

We are seeking an experienced and highly motivated C++ Software Engineer to join the Compiler team of our Network Technology R&D organization, contributing directly to the evolution of next-generation networking products.

You will work on pioneering technology that powers the future of the Internet.

You will be part of a global team working on the newest generation of us, which will be integrated across the entire portfolio of our devices.

You will collaborate with worldwide distributed R&D centers, gaining exposure to some of the most talented engineers in the networking industry. We look for people who love technology and engineering-people who thrive on innovation, continuous learning, and challenging whats possible.

Your Impact:
Design, implement, and test a state-of-the-art optimizing compiler for us.
Evaluate and optimize code performance, including debugging, code generation improvements, and pipeline analysis.
Develop, optimize, and enhance the compiler backend to fully leverage cutting-edge hardware capabilities.
Solve complex resource management challenges across hardware pipelines.
Design and implement new P4 language features that empower network application developers.
Build and maintain the compiler toolchain for custom networking applications.
Contribute to libraries, analysis tools, and supporting infrastructure.
Collaborate with cross-functional hardware and software teams.
Work closely with ASIC engineers on next-generation IC design, influencing hardware through compiler insights prior to tape-out.

We are seeking an exceptional Software Team Lead to guide the development of our runtime software stack. This role requires a rare combination of deep technical expertise, hands-on coding ability, and proven leadership experience. You will own the architecture, implementation, and system-level integration of drivers, runtime components, and low-level system software, driving technical excellence and performance across the stack. The ideal candidate thrives under pressure, takes full ownership of outcomes, and sets the bar for quality and innovation in the team.

Responsibilities:
Lead and mentor a team of runtime and embedded software engineers, setting the standard for technical excellence.
Define and drive the architecture, roadmap, and performance expectations for the runtime stack, ensuring scalable, robust, and high-performance solutions.
Oversee cross-team software projects from concept through production, while remaining hands-on in coding, debugging, and system bring-up for critical components.
Establish rigorous standards for testing, CI/CD, and software lifecycle processes, ensuring maintainable and reliable delivery.
Conduct architecture and performance reviews, providing decisive guidance in ambiguous or high-pressure situations.
Collaborate deeply with architecture, compiler, hardware, and platform teams to deliver cohesive, system-level solutions.
Provide technical leadership to resolve conflicts, make tough trade-offs, and uphold engineering excellence.
Recruit, mentor, and retain top-tier engineering talent.

We are looking for an experienced software engineer with a performance oriented view of coding and knowledge in parallel frameworks. Someone who likes to have an end-to-end understanding of HW-SW, and make an impact on the world of accelerated computing to join our SDK group.

Responsibilities:
Play a key role in defining the architecture for the parallel compute framework API, and how it will interact with other common parallel compute frameworks. Integrate parallel frameworks using our SDK.
Ownership and accountability for accelerated solutions of common math libraries using NextSilicon SDK. Owns features end-to-end from requirements to testing.
Play a key role in defining and implementing NextSilicon SDKs and APIs.
Implement accelerated solutions and innovate by understanding our full software stack end-to-end. Identify performance bottlenecks and resolve them.
Work in close collaboration with cross-functional and multidisciplinary teams, including software, hardware, system, research, and apps engineering teams.

We are looking for a talented Code Generation and Optimization Expert. We are looking for a self- , independent engineer to join the team that builds the software infrastructure for accelerating the system in large scale compute environments like data centers and HPC using new CPU core technology. Working on the cutting edge and future ready systems. We work in a development culture that is diverse, flexible and challenging. For persons looking to make an impact and influence the future of computing with personal growth options.

The CodeGen team is developing core components in the automated optimization process that adapts our unique hardware architecture to run any HPC & AI applications, with little to no code modifications required. By using iterative rounds of telemetry and optimization, our compiler is able to intelligently adapt our accelerator into a workload-specific ASIC, at runtime.

We are seeking a talented Code Generation and Optimization Expert to join our bleeding-edge CodeGen team in Israel. In this high-visibility, hands-on role, you will play a pivotal part in building NextSilicons next-generation runtime compiler.

Responsibilities:
Design and maintain the distributed and heterogeneous executable that is generated by our compiler stack.
Using the MLIR framework, transform high level compiler outputs into hardware-specific binary images, memory mappings, execution parameters, resource allocation, region grouping, and cross-domain coordination for distributed systems.
Design and maintain the API layer (libRT.a) connecting compiler-generated code with runtime services, ensuring seamless integration across different execution domains.
Collaborate closely with hardware, architecture, verification and other compiler teams to align software with hardware requirements and behavior.

We are seeking an experienced and highly skilled Software Engineer to join our Runtime Software group. In this role, you will drive the development of the full software stack and architecture behind our revolutionary coprocessor. You will be challenged to deliver high-performance, system-wide solutions, requiring a deep understanding of complex architectural trade-offs and distributed systems.

As a core team member, you will design and implement infrastructure that enables our unique hardware to accelerate diverse applications at scale. You will collaborate across disciplines - working with hardware engineers, compiler developers, and system architects - to optimize execution in a massive, multi-process, and multi-threaded environment.

Responsibilities:
Design and implement next-generation runtime architectures and infrastructures to support evolving product requirements.
Develop environments for the acceleration of massively parallel applications, managing complex process and thread lifecycles.
Define development scopes and roadmaps to ensure the successful delivery of robust software features.
Partner with hardware and compiler teams to bridge the gap between silicon capabilities and software performance.

We are seeking an exceptional Director of AI Software to lead the full AI software stack that powers our next-generation accelerator platform. This executive-level role owns the strategy, architecture, and execution of all AI software components- including frameworks, compilers, runtime, kernels, developer tools, and end-to-end AI workloads.

You will lead multiple teams responsible for running state-of-the-art models (LLaMA, DeepSeek, diffusion, MoE and future generations of AI), building high-performance kernels, integrating industry frameworks, and delivering a developer-friendly stack to customers, which showcases and materializes the full potential of our hardware.

Responsibilities:
Own the vision, roadmap, and execution of the full AI software stack (frameworks, compilers, runtime, kernels, tools).
Lead teams responsible for running and optimizing AI workloads
Deliver first-class support for PyTorch, Triton, IREE, CUDA-compatible flows, and emerging AI frameworks.
Oversee development of high-performance kernels (GEMM, attention, memory ops) and compiler optimizations.
Drive HW/SW co-design with silicon, architecture, and runtime teams to maximize performance and efficiency.
Ensure end-to-end product delivery, including SDKs, toolchains, developer experience, and documentation.
Own benchmarking, performance targets, and competitive analysis
Build, mentor, and scale a multi-disciplinary AI software organization.
Support bring-up, validation, and tuning of new hardware accelerator generations (pre-silicon and post-silicon).

The AI software team is building solutions that enable the latest AI models and workflows to run efficiently on our unique hardware architecture-unlocking a new level of performance

We are seeking a talented engineer to work on our AI software stack and specifically the AI graph compiler which optimizes AI models to run on our hardware architecture.

Responsibilities:
Develop our AI graph compiler and related components in the SW stack.
Drive the performance of AI models running on our unique architecture.

Power the Future with us! SolarEdge (NASDAQ: SEDG), is a global leader in high-performance smart energy technology, and millions of products installed in over 133 countries. Our diverse product offering comprises intelligent solar inverters, battery storage, backup systems, EV charging, and complete home energy management ecosystems. By leveraging world-class engineering capabilities and with a relentless focus on innovation, we strive to create a world where clean, green energy from the sun is the primary source of power for our homes, businesses, and just about everywhere we thrive. Responsibilities:
* End-to-End responsibility of development process: from requirements till implementation including post-release support
* Design, Development and Integration of C# based code modules
* Close work with the rest of Q&R team on mutual projects
* Software Development of automated hardware tests, drivers, protocols
* Working on new projects as well as supporting existing ones
* Production issues support and failures analysis


Country:
Israel

City:
Herzliya

our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
our company Cloud Storage provides a suite of services like the scalable our company Cloud Storage (GCS) for unstructured data, high-performance managed lustre for AI High-Performance Computing workloads, and the managed Network File System (NFS) service filestore. These offerings are fundamental to our company Cloud's infrastructure, serving as the backbone for storing and accessing the vast datasets required for training and deploying AI models. In the AI era, this storage portfolio is crucial for enabling innovation, supporting compute-intensive tasks, and driving significant value for our company Cloud customers. The performance, scalability, and flexibility of these storage solutions are key to unlocking the potential of AI.
our company Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our companys technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to our company Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Design and implementation of high-complexity features. Deliver robust, production-ready code for storage solutions that address the specific demands of AI/ML workloads.
Architect scalable and performant storage solutions. Make data-driven decisions to optimize system efficiency and reliability.
Provide deep-dive code reviews and technical guidance to the team. Set the standard for engineering excellence and help maintain a high quality bar for all deliverables that addresses the expectations of key our company customers.
Identify and resolve performance bottlenecks and intricate system issues. Develop innovative, practical solutions to technical challenges that arise at the intersection of storage and ML.
Partner with product and engineering stakeholders to translate customer requirements into technical specifications, ensuring the incubations output aligns with broader our company Cloud goals.

About Us Think about literally anything in your house. Your shirt. Your phone. That random IKEA wrench thingamabob you still haven’t thrown away. Odds are, it all came from somewhere else. Freight is the invisible magic trick that makes the global economy work. And we’re the ones helping it work a little bit faster, smarter, and cheaper. Freightos (Nasdaq: CRGO) is the global booking and payment platform for the trillion-dollar freight industry. Hundreds of airlines and ocean liners, thousands of freight companies, and over ten thousand importers and exporters use our platform to move goods around the world faster and more efficiently. This matters. Efficient freight ultimately makes things cost a little bit less when you buy them in the store. We’ve been on a rocketship (freight ship?) of double-digit growth for years, and we’re nowhere near done. Changing global trade starts with shipping great code. Boxes don’t move before those bytes move.
About the Role We’re looking for a Mid-Level Full Stack Engineer who gets excited by solving complex problems and building systems that directly impact millions - make that billions - of dollars in global trade. Our platform manages over two billion pricing points, hundreds of thousands of quotes, and millions of location codes. This is not just UI polish or backend plumbing - it’s building reliable, scalable systems end-to-end. You’ll work across frontend and backend layers while leveraging AI-powered development workflows - especially vibe coding - to move fast, iterate intelligently, and ship high-quality features. Speed matters, but reliability matters more. That’s why you’ll back everything up with strong automated testing and clean engineering practices. Come ready for a challenge - and don’t be fooled by container ships; this is rocket-science technology.
What You’ll Do
* Design and build end-to-end features across frontend and backend services.
* Develop modern, scalable UI/UX features using best practices and clean architecture.
* Build robust backend APIs and services that power high-scale, high-availability systems.
* Use AI-assisted development (vibe coding) to accelerate feature delivery and reduce iteration cycles.
* Validate AI-generated and AI-assisted code with comprehensive automated tests (unit, integration, and end-to-end).
* Contribute throughout the development and deployment lifecycle across the R&D organization.
* Collaborate with product managers, designers, backend, and DevOps teams to deliver business-critical capabilities.
* Troubleshoot and solve complex cross-stack issues in a large-scale codebase.
* Continuously improve development workflows, introducing mechanisms and best practices to prevent recurring issues.
* Help evolve AI-driven engineering standards within the team.



Hybrid:
Yes

our company Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our company Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, you will be shaping the future of security automation, working with product experts and exploring the latest Artificial Intelligence (AI) advancements.
The company Cloud AI Research team addresses AI challenges motivated by our company Clouds mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
Responsibilities
Design and implement Model Context Protocol (MCP) tools for Security Operations (SecOps) to support different AI Security Agents.
Integrate AI models over Vertex AI and work with the product team to understand the requirements for the integration, developing the integration code, and testing the integration.
Develop backend in ASP.Net Core or Python. Design and develop the backend services that will be used to power the AI models.
Design and develop core components of the AI Chat infrastructure using Go. Build scalable and reliable services for managing real-time communication, managing user sessions, and integrating with AI models.
Research and identify new AI technologies and techniques that can be applied to improve the Secops Security Orchestration, Automation, and Response (SOAR) platform.