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we are looking for a QA Automation Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
Key Responsibilities
Develop Testing & Automation SW tools from the ground up, interfacing to various systems and tests (Python-based).
Work closely with developers to create and maintain a state of the art system tests
Define, develop and execute testing plans with deep system knowledge and understanding.

we are looking for a Performance Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
Key Responsibilities
Develop Testing & Automation SW tools from the ground up, interfacing to various systems and tests (Python-based).
Work closely with developers to create and maintain a state of the art system tests
Define, develop and execute various performance scenarios with deep system knowledge and understanding.

we are looking for a Senior AI Engineer to design and build production-grade, LLM-powered systems. You'll work at the intersection of software engineering and applied AI - shipping agents, RAG pipelines, and tool-using systems that solve real problems at scale. This is a hands-on, high-ownership role for someone who thrives at the frontier of what's possible with modern LLMs and isn't afraid to write the glue, the infrastructure, and the prompts that make it all work.
This is a **cross-functional, company-wide role**. You won't be embedded in a single product team - instead, you'll partner with every department to identify high-leverage opportunities and build AI-powered tools and workflows that boost productivity and efficiency across the entire organization.
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
What You'll Do:
- Design, build, and operate LLM-powered applications, agents, and workflows end-to-end - from prototype to production.
- Architect retrieval, context engineering, and tool-use strategies that make models reliable, accurate, and cost-efficient.
- Integrate LLMs with internal services, third-party APIs, and data stores to automate complex business and engineering workflows.
- Build, evaluate, and continuously improve evaluation harnesses for non-deterministic systems.
- Collaborate closely with product, research, and platform teams to translate ambiguous problems into shipped capabilities.
- Stay ahead of the rapidly evolving LLM ecosystem (models, frameworks, agentic patterns) and bring the best ideas into our stack.

Shape the Future of AI Infrastructure with our company
This is a rare opportunity to join one of the fastest-growing infrastructure companies in tech history, right at the epicenter of the AI revolution.
Recognized by Forbes as "the future of the market," our company is building the foundational enterprise software powering the AI era. We engineer platforms that capture, catalog, refine, and protect massive datasets across data centers, edge, and cloud, making real-time analytics, AI training, and inference simpler and faster than ever before.
Our explosive growth is fueled by relentless engineering innovation, a customer-first mindset, and a team of fearless company ronauts who thrive on solving computing's hardest problems. Join us at this pivotal moment in technology history and make a lasting impact on how the world processes data.
We are seeking a talented and experienced Software Engineer to design, build, and optimize high-performance distributed systems, core data engines, and backend infrastructure. This role requires deep system-level architecture understanding, the ability to handle large-scale clusters processing petabytes of data, and mastery of modern C/C++ and Linux environment internals.

We are seeking a talented and experienced Software Engineer to design, build, and optimize high-performance distributed systems, core data engines, and backend infrastructure. This role requires deep system-level architecture understanding, the ability to handle large-scale clusters processing petabytes of data, and mastery of modern C/C++ and Linux environment internals.
Key Responsibilities
Design & Develop Core Components: Build, maintain, and optimize highly scalable, resilient distributed services, storage engines, or data-processing pipelines written in C/C++.
System Architecture & Resilience: Drive architectural discussions and implementations around high availability, data consistency, replication mechanisms, fault tolerance, and multi-node concurrency.
Performance Optimization: Optimize hot execution paths, low-level data structures, memory management, and I/O subsystems to guarantee high throughput and minimal latency.
Complex Debugging & Troubleshooting: Investigate and resolve intricate production issues spanning the application layer, distributed networking protocols, file systems, and operating system kernels.
End-to-End Ownership: Take full technical ownership of critical features-from ambiguous requirements and system design through implementation, rollout, and observability in production environments.
Teams
Storage Platform: Focuses on building a next-generation distributed storage platform handling petabytes of data across large clusters specifically designed to power AI, enterprise, and analytics workloads. Handling everything that touches the hardware and operating system aspects in a software defined storage system
Data Path: Focuses on engineering a highly distributed, latency-critical Hot I/O Data Path and Element Store engine. This role is responsible for the ingestion, state-of-the-art compression, encoding, and retrieval of multi-protocol data (files and objects) under massive concurrency and ultra-low latency requirements.
Database: Focuses deeply on core relational database internals, specifically designing low-level storage engines, B-Tree/LSM-Tree data structures, MVCC concurrency control, and query execution planners.
Kernel: Focuses on the lowest software layers, emphasizing Linux Kernel development and block-level storage/file system engineering.
Protocols: Focuses strictly on engineering high-concurrency data/metadata paths that replicate external AWS S3 object-storage behavior and correctness under heavy retry and failover pressure.
Cloud: Focuses on cloud-native storage deployment, adapting and scaling complex high-availability storage infrastructure across major hyper-scaler cloud environments (AWS, Azure, GCP).
Compute Kafka: Focuses on distributed event-streaming and messaging platforms, specifically building a high-scale, exactly-once broker compatible with the Apache Kafka wire protocol.

we are looking for a Senior Infrastructure Developer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
What Youll Be Doing
Design, build and set up development tools and infrastructure for use by the various teams in the R&D organization.
Among the different tools:
test infrastructure used by the QA
Maintain and develop API and interfaces facing the company storage product + different cloud providers.
full stack bug investigation portal
VM orchestration
Collaborate with other teams to improve the productivity of the entire R&D organization.
Dealing with diverse technologies and domains - Docker, Git, Python, Linux, Python, Storage.

A fast-growing tech company in the automotive space with hubs across the US and Israel. We are disrupting the multi-trillion-dollar transportation industry with our advanced Customer data Platform (CDP). Our work happens in the fast lane as we bring AI-powered, data -driven solutions to a quickly evolving industry. Our team is made up of curious and creative individuals who are always looking to achieve the impossible. We are bold, collaborative, and goal-driven. At our core, we believe every voice has value and can impact our bottom line. We are looking for a Product Manager to join our Activation unit and further scale out the Digital Advertising product. If you are a creative, solutions-oriented individual who is ready to put your career in drive, we are the place for you! This role is based in Tel-Aviv or Jerusalem and reports to the lead PM of the Digital Advertising domain.

What you will be responsible for:
Shape Product Strategy : Partner with the Product Lead to shape the strategy and roadmap for a segment of our digital advertising suite, bringing customer and market insights from discovery through launch, adoption, and growth. Listen & champion the Voice of the Customer: Translate feedback into clear, prioritized specifications by running discovery with dealers and design partners through calls, feedback loops, and early-access programs. Actively include internal teams (CSMs, Sales, Ad Operations, Finance) in the problem discovery process to identify product gaps and opportunities. Execute & Iterate: Partner with engineering, design, and data teams to rapidly ship high-quality features, define success metrics, and leverage data insights to continuously iterate. Own Compliance, Support Ad Tech Integrations: Own OEM and regulatory compliance end-to-end, translating policy changes into safe, impactful product requirements, and help navigate platform integrations as ad tech evolves. Lead Go-to-Market & Communication: Collaborate closely with Sales, Marketing, and CSMs to shape product launches and training, while providing clear, ongoing roadmap and release updates across the entire organization.

The top candidate will also have:

* Experience from Ad-tech companies or relevant Digital Advertising experience - Strong Advantage.
* Experience with AI/LLM products or agent-based interfaces

Why you should join us:

* An awesome global team of forward-thinking, innovative go-getters.
* A front-row seat to the strategic decisions shaping the company at a pivotal moment.
* Direct partnership with the C Level leadership team - exposure, ownership, and visibility from day one.
* Learning and growth opportunities within a fast-paced tech startup environment. As a part of our team, your success in this role is crucial to our company's growth, and we are committed to supporting you.
* Of course - Wolt+ and lots of yummy office treats! Sound amazing

About us Cloud teams should not have to choose between cost efficiency, performance, and control. At our company, we build automation that helps DevOps and FinOps teams optimize Kubernetes and cloud commitments continuously, within the guardrails they define. We are a curious, practical team that likes solving hard problems together. You will have room to take ownership, share ideas openly, and see your work make a real difference for customers. The opportunity At our company, we help engineering and cloud teams make smarter decisions about their infrastructure. As a BDR, youll be at the start of that story: opening conversations with prospects across the U.S., Europe, and Israel, learning how their teams operate, and showing them how our company can reduce cloud waste without compromising performance. Youll work closely with our BDR team lead and Sales team, building the pipeline that helps bring our companys technology to more customers. This is a hybrid role based in Tel Aviv. We work from home on Wednesdays and Fridays. What you'll own
* Build a qualified pipeline through outbound prospecting and timely inbound follow-up.
* Research target accounts and stakeholders to create relevant, thoughtful outreach.
* Run early discovery conversations, uncover business context, and qualify opportunities.
* Maintain clear CRM records and hand off sales-ready opportunities to the Sales team.
* Use activity, meeting, and pipeline data to improve your outreach and consistently progress toward targets.

abra professional services is seeking an ATM Systems Developer. We are looking for a versatile Full Stack .NET Developer to join an ATM development team, working on both client-side and server-side development. This role requires strong hands-on experience with .NET, C#, JavaScript, HTML, XAML, SQL, IIS, Windows/Linux environments, and DevOps technologies , as well as the ability to work in a complex, enterprise technological environment as a leading developer. A full-time hybrid position based in Central Israel, with 1 day a week remote

We are seeking a talented and experienced Software Engineer to design, build, and optimize high-performance distributed systems, core data engines, and backend infrastructure. This role requires deep system-level architecture understanding, the ability to handle large-scale clusters processing petabytes of data, and mastery of modern C/C++ and Linux environment internals.
What You'll Do:
Design and develop core components of a next-generation distributed event-streaming and messaging platform.
Implement and maintain a high-scale, high-performance Kafka-protocol-compatible broker.
Build scalable and resilient distributed services handling petabytes of data across large clusters.
Design solutions around correctness semantics (ordering guarantees, transactions, exactly-once / idempotence, repartitioning), load balancing, replication, fault tolerance, and scalability
Investigate and resolve complex production issues across the full produce-to-consume path - from the Kafka client that produced it, through the broker and all the layers in between, all the way to the consumer.
Collaborate closely with architects, researchers, and engineering teams to deliver high-performance data infrastructure powering AI, analytics, and enterprise workloads.

Most QA roles are about writing scripts to catch bugs after the code is written. This isn't one of those roles.
At our company, we aren't just scaling software; we are building the fundamental engine that powers the global AI revolution. When you are managing exabytes of data at breaking-point speeds, traditional testing methodologies crumble. We don't need someone to follow a test plan. We need an architect to build a self-evolving, intelligent testing ecosystem.
The Mission
We want you to build the AI tools that validate our AI data platform. You will design autonomous, agentic systems that actively look for vulnerabilities, orchestrate their own testing logic, navigate distributed dependencies, and isolate regressions entirely on their own before they hit production.
If you are a systems-level builder who gets excited by complex distributed systems, autonomous logic, and breaking things at an elite engineering scale, this is your playground.
What Youll Actually Do Everyday
Build AI Agents for Quality: Design and deploy production-grade Python frameworks and LLM-driven agentic tools that dynamically generate, execute, and self-correct test environments.
Orchestrate Chaos at Scale: Move past static assertions. Youll build runtime verification tools that stress-test data integrity, multi-node failures, and deep storage engine behaviors.
Ditch the Manual Mindset: Drive our entire automation architecture toward a state where human intervention is the exception, not the rule.
Partner with Core R&D: Work side-by-side with our systems architects to inject intelligent code evaluation pipelines right into our fast-moving CI/CD engines.

We are seeking a talented and experienced Software Engineer to design, build, and optimize high-performance distributed systems, core data engines, and backend infrastructure.

We are seeking a talented and experienced Software Engineer to design, build, and optimize high-performance distributed systems, core data engines, and backend infrastructure. This role requires deep system-level architecture understanding, the ability to handle large-scale clusters processing petabytes of data, and mastery of modern C/C++ and Linux environment internals.
SW Development Team Leader
We are looking for a software team leader to lead one of our core teams. He/she will be responsible for the delivery of innovative key features, guiding team members, improving existing products and features. He/she should be a great team player with the ability to develop strong working relationships and increase engagement / collaboration with peers to drive technology roadmaps.
Key Responsibilities
Responsible to contribute to products vision and subsequent execution
Oversee the overall development life-cycle, from design/planning, to implementation and support to maintain high standard of software quality
Provide technical leadership to team member while taking active part in the team tasks
Assigns tasks, reviews work and may contribute to employee performance appraisals
Work with internal teams, peers and customers to understand product requirements thus translating to successful software development.

abra is seeking for an Data Analyst This role requires involves defining and profiling target audiences for outbound campaigns in close collaboration with business units, developing and executing advanced SQL queries to extract target audiences for campaigns and analyze data from databases, measuring and analyzing campaign effectiveness, generating reports, and managing interfaces with business units, various data teams within the department, and development teams. Full-time position, Sunday–Thursday, based in Lod.