לוח משרות דרושים הייטק תוכנה במרכז

we are looking for a Senior Embedded Engineer! we are looking for an Embedded Engineer to help build the first Real-Time database purpose-built for AI agents at scale. Designed around time-series and unstructured data, it leverages a custom Storage format optimized for append-heavy, Real-Time workloads. Joining the team means working on a high-performance execution engine built with vectorized execution, SIMD, and cache-efficient memory layouts, enabling extreme low-latency and high-throughput performance at scale. The system is engineered to fully utilize modern hardware, with deep optimization across CPU cache layers (L1 / L2 / L3), pushing the limits of Real-Time data processing. What Youll Do
* Design and implement core components of the database engine (query engine, execution engine, Storage engine)
* Build vectorized execution pipelines optimized for SIMD
* Design and evolve a time-series optimized Storage engine (custom on-disk + in-memory formats)
* Work on unstructured / event-driven data representations and efficient indexing/querying strategies
* Own memory layout, compression, and data defragmentation
* Develop cache-aware / cache-efficient data structures with deep understanding of CPU cache behavior
* Implement distributed data primitives: sharding, partitioning, replication, and data locality
* Profile and optimize performance at the CPU level (cache misses, branch prediction, memory bandwidth)

we are looking for a data Scientist who will take part in building the nextgeneration Database built from scratch for AI Agents As a data Scientist, you will work on largescale data systems, applying ML and timeseries analysis to real business problems. What youll do:
* Work with large volumes of data
* Develop ML models and data pipelines
* Focus on productiongrade data science
* Collaborate with engineering teams

we are looking for a Staff AI Engineer! we are looking for a Staff AI Engineer to help build a next-generation agentic analytics platform, the first Real-Time database optimized for AI agents at scale. We are looking for a Staff AI Engineer to lead the design of data -driven models and analytical systems powering agentic analytics. This role focuses on causal inference, time-series modeling, and large-scale data analysis, working on Real-Time, high-dimensional datasets. What youll do:
* Design and implement causal inference models to understand and drive decision-making
* Develop time-series models for Real-Time analytics and forecasting
* Build Machine Learning models on large-scale, structured and unstructured data
* Define statistical methodologies for agentic analytics and decision systems
* Work closely with AI and engineering teams to integrate models into production systems
* Analyze complex datasets and extract actionable insights
* Design experiments, evaluation frameworks, and data -driven feedback loops
* Contribute to the overall data science strategy and architecture

we are looking for a Senior backend Engineer! we are looking for a backend engineer to help build the nextgeneration Database built from scratch for AI Agents As a backend rengineer, you will help build an SDK layer on top of a custom AIAgent Database, enabling external developers and internal systems to integrate easily, efficiently, and safely. This is not a standard backend role; it is infrastructurelevel development, touching core systems used by AI Agents in production. What youll do:
* Design and develop SDKs as an abstraction layer over the database
* Build integrations with internal and external systems
* Design backend systems from scratch (01)
* Own system design, architecture decisions, and feature definitions
* Build largescale infrastructure similar to trading systems or highthroughput platforms
* Develop productiongrade backend services

we are looking for a Senior Embedded Engineer! we are looking for an Embedded Engineer to help build the first Real-Time database purpose-built for AI agents at scale. Designed around time-series and unstructured data, it leverages a custom Storage format optimized for append-heavy, Real-Time workloads. Joining the team means working on a high-performance execution engine built with vectorized execution, SIMD, and cache-efficient memory layouts, enabling extreme low-latency and high-throughput performance at scale. The system is engineered to fully utilize modern hardware, with deep optimization across CPU cache layers (L1 / L2 / L3), pushing the limits of Real-Time data processing. What Youll Do
* Design and implement core components of the database engine (query engine, execution engine, Storage engine)
* Build vectorized execution pipelines optimized for SIMD
* Design and evolve a time-series optimized Storage engine (custom on-disk + in-memory formats)
* Work on unstructured / event-driven data representations and efficient indexing/querying strategies
* Own memory layout, compression, and data defragmentation
* Develop cache-aware / cache-efficient data structures with deep understanding of CPU cache behavior
* Implement distributed data primitives: sharding, partitioning, replication, and data locality
* Profile and optimize performance at the CPU level (cache misses, branch prediction, memory bandwidth)

abra R&D is looking for a FullStack Engineer! abra R&D is looking for a FullStack Engineer who will take part in building a next-generation agentic analytics platform, a real-time database optimized for AI agents at scale. We are looking for a Full Stack Engineer to build user-facing products and internal tools on top of our AI and data platform. This role combines frontend, backend, and product thinking, with strong ownership over design and implementation. What you’ll do:
* Build and own end-to-end features across frontend and backend
* Develop modern web applications using React and TypeScript
* Design and implement backend services using NestJS
* Translate product and UX requirements into clean, scalable system designs
* Work closely with AI and platform teams to integrate agent-driven capabilities into products
* Build data-rich interfaces for analytics and real-time systems
* Ensure performance, reliability, and usability across the stack

abra R&D is looking for a QA Engineer! abra R&D is looking for a QA Engineer who will take part in building the next-generation agentic analytics platform powered by KeewanoDB, the first real-time database optimized for AI agents at scale. We are looking for a QA Engineer to define and build how AI agents are measured, validated, and improved in production. This role sits at the intersection of AI systems, data, and engineering, combining evaluation research with production-grade systems. You will design evaluation methodologies, build LLM-as-a-judge systems, and develop agent-based testing frameworks to ensure correctness, robustness, and reliability of complex multi-agent workflows operating on real-time data. What you’ll do:
* Design and implement evaluation frameworks for AI agents and multi-agent systems
* Build LLM-as-a-judge pipelines to evaluate correctness, reasoning, and output quality
* Develop agent-based evaluation systems (agents evaluating agents)
* Define metrics, benchmarks, and methodologies for agent performance and reliability
* Build data-driven evaluation pipelines, including synthetic and real-world datasets
* Analyze failure modes, edge cases, and non-deterministic behaviors
* Improve agent reliability, robustness, and consistency in production
* Work with tools such as Google ADK, Opik, and related evaluation frameworks
* Collaborate closely with AI, platform, and database teams to shape agent–data interaction quality

Were looking for a Staff Application Security Engineer to join our IT and Security team. This role is ideal for a hands-on security professional who is passionate about working closely with engineering teams to design secure software, fix vulnerabilities, and promote a culture of security across the organization.

Youll be responsible for shaping and owning our Secure Software Development Lifecycle (SSDLC), managing security tooling, and leading the assessment of application and API security across our products and services.

Here are a few of the things you will do:
Collaborate directly with engineering teams to define remediation strategies, track implementation, and validate security fixes across the application stack.

Design, implement, and drive SSDLC practices across the company-from security design reviews and threat modeling to proactive triaging in production.

Conduct threat modeling, architecture reviews, and security assessments of cloud-based applications and services, including those leveraging emerging technologies.

Manage HoneyBooks bug bounty program, validating reports and coordinating response and resolution.

Own and operate our suite of AppSec tools including SAST, ASPM, and other security scanners-triaging findings, prioritizing issues, and guiding engineering toward resolution.

Review source code and applications to identify vulnerabilities and collaborate with dev teams on remediation.

Act as the point of contact for findings from penetration tests, automated scanners, and external assessments, helping manage triage and ensure timely fixes.

Continuously research and stay current with application security trends, frameworks, vulnerabilities, and best practices.

Promote a strong security culture across HoneyBook by educating and enabling engineers, architects, and DevOps teams to build secure software from the ground up.

Here are a few of the things you will do:
Play a critical role in our strategic AI initiatives, influencing product vision and customer experience.
Live and breathe the entire company`s codebase, from the backend bytes to the frontend bits.
Own your features from product design, through tech design all the way to production and customer usage.
Work as part of a Full Stack agile squad, working in high velocity, delivering great quality.
Inspire others. Lead by example and make sure our users get the fabulous experience they deserve.

We are on the search for a Marketing Data Analyst who will join our Data team in Tel Aviv. As a Marketing Data Analyst in a Data-Driven company, you will have a significant opportunity for impact and drive the company to new heights. You will influence decision-making processes throughout marketing budget decisions, new user journeys, be a partner to cross-functional teams within data, marketing & Top of Funnel, and drive strategic business decisions that shape the direction of the company.

Here are a few of the things you will do:
Own end-to-end analytics for marketing and product growth initiatives, directly supporting business strategy and growth, including and not limited to acquisition, lifecycle, and user onboarding.
Act as the primary data owner for the planning, monitoring, and measuring a variety of marketing initiatives, ensuring accuracy, consistency, and trust in decision-making across stakeholders, enabling your stakeholders to learn from data and iterate with confidence.
Translate complex datasets from multiple sources into clear, actionable insights with measurable business impact.
Proactively initiate and perform ad hoc research and deep-dive analyses to surface unknown business opportunities to inform strategic and operational decisions.
Partner with marketing, product, finance and company leadership to drive cross-functional, data-driven outcomes.
Design, improve, and scale analytics infrastructure, data pipelines, and workflows to suit your analytics needs; work hands-on using tools such as SQL, DBT, Looker, and partner closely with Data Engineering and Data Science teams.
Design, execute, and evaluate A/B tests using rigorous statistical methods and well-defined KPIs, including ownership of appropriate KPI selection.
Present insights and recommendations to senior stakeholders with clarity and influence, through written communication, presentations, and via dashboards.
Contribute expertise to shared analytics standards, best practices, and knowledge forums (e.g., Data Guild).

As a Senior Fullstack Engineer on the GenAI Platform Team, you will lead the design, development and maintenance of scalable use- friendly platforms and applications. You will work closely with product teams, data engineers, and AI developers to bridge the gap between advanced AI models and seamless user experiences. This role requires strong expertise in fullstack development with a particular emphasis on React for frontend development as well as building and optimizing backend systems.

We are seeking a talented and passionate Embedded Vulnerability Researcher to join our team focused on offensive research of embedded systems. If you thrive on uncovering low- level vulnerabilities, reverse engineering complex systems, and pushing boundaries of security research, this role is for you.
Conduct offensive research on Low- Level vulnerabilities in Linux, Kernel and Embedded systems.
Reverse engineer code, firmware and system components to identify weaknesses
Work hands-on with systems, tools and advanced research environments to develop and execute exploits.

We are looking for a talented Architect to join us. As a Data Architect, you will be the organizational point of contact for all things related to data persistence and architecture. You will work closely with engineering teams across the Product, Platform, and Data groups to design, govern, and evolve our data models, databases, and data-related systems. Your goal will be to ensure scalability, reliability, security, and efficiency for all data storage and retrieval across the organization.

A few of the things you will do:
Be the primary point of contact and subject matter expert for data persistence across the entire engineering organization.
Define and govern the data architecture strategy, standards, and best practices for relational, NoSQL, and data warehouse systems.
Partner with engineering teams from product, platform, and data groups to design and implement scalable and robust data models for new and existing services.
Lead the design and optimization of the organizations data flows. You will help to ensure that data moves efficiently, consistently, and with high quality across all systems and domains.
Evaluate and recommend new technologies and data solutions to meet evolving business needs.
Drive initiatives to improve data quality, consistency, and integrity across all production systems, from ideation to hands-on execution.
Establish, maintain, and communicate documentation for all data models and architectural decisions.

We are seeking an Observability & SRE Expert with HO experience in On-premise and Cloud environments to join us part-time (100 hours monthly).
the role involves practical tasks:
Implement monitoring, logging, tracing, and metrics for On-Premise and Cloud. Manage SLOs, SLAs, SLIs, and Error Budgets.
Monitor, troubleshoot, and resolve performance issues. Handle incidents and perform root cause analysis.
Develop automation for operational processes. Manage infrastructure and write maintenance scripts.
Build intuitive dashboards and optimize alert management.
Cross-Team collaboration: Work with Development, Infrastructure, Security, and DevOps teams.
Apply SRE principles to enhance system reliability and performance.
place of employment: center
scope of hours: part time job.