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The Role Were looking for a Mid-Level DevOps Engineer to join our growing team and take part in designing, building, and operating scalable, secure, and automated AWS-based infrastructures. Youll work in a fast-paced environment, using advanced, cloud-native technologies, and have direct interaction with customers - understanding their challenges, designing solutions, and guiding them from architecture to production. Responsibilities Build and manage Infrastructure as Code (IaC) using Terraform Develop and optimize CI/CD pipelines (GitLab CI, GitHub Actions, Jenkins, etc.) Design, deploy, and maintain containerized environments using Docker & Kubernetes (EKS) Design and implement scalable, secure, and cost-efficient AWS architectures Work directly with customers to gather requirements, design solutions, and provide hands-on technical guidance Lead and support cloud modernization projects, including migrations and replatforming Monitor and improve system reliability using observability tools Troubleshoot complex production issues in dynamic, high-velocity environments Apply cloud security best practices (IAM, encryption, networking, compliance)

abra R&D is looking for a Senior Embedded Engineer! abra R&D is 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 You’ll 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 Data Scientist! abra R&D is looking for a Data Scientist who will take part in building the next?generation Database built from scratch for AI Agents agentic analytics platform that enables data?driven decision making on large?scale, real?time data. The product focuses on extracting insights, understanding patterns, and supporting decisions through advanced analytics, experimentation, and statistical modeling. The Data Scientist role focuses on analysis, modeling, experimentation, and insights , rather than low?level algorithm or infrastructure development. What you’ll do:
* Analyze large?scale structured and unstructured datasets to extract actionable insights
* Build and evaluate statistical and machine learning models to support analytics and decision systems
* Apply causal inference methodologies to understand relationships in data and measure impact
* Develop time?series models for forecasting, trend analysis, and anomaly detection
* Define statistical methodologies used across analytics and decision?making processes
* Design and analyze experiments (A/B tests, uplift modeling, evaluation frameworks)
* Create data?driven feedback loops to improve product decisions
* Collaborate with AI and engineering teams to translate analytical insights into product features
* Communicate findings clearly to technical and non?technical stakeholders

abra R&D is looking for a AI Engineer! abra R&D is looking for an AI Engineer that will take part of building a next-generation agentic analytics platform powered by a real-time, AI-optimized data infrastructure. We are looking for an experienced AI Engineer to design, build, and deploy intelligent systems that operate at scale and in real time. This role is hands-on and product-oriented, focusing on developing, integrating, and productionizing AI and machine learning models as part of a complex, high-performance platform. What You Will Do:
* Design, develop, and deploy AI and machine learning models into production systems
* Build scalable AI services that operate on large-scale and real-time data
* Implement deep learning and machine learning solutions using modern frameworks
* Integrate AI models into end-to-end product flows and backend systems
* Collaborate closely with software engineers and AI teams to deliver production-ready solutions
* Optimize model performance, reliability, and scalability in real-world environments
* Develop and maintain data pipelines and model-serving infrastructure
* Contribute to the evolution of AI-powered, agent-based systems and analytics capabilities

abra R&D is looking for a Backend Platform AI Engineer! ab ra R&D is looking for a Backend Platform Engineer to help build the next?generation Database built from scratch for AI Agents This role focuses on building the developer-facing platform around the core database engine- enabling seamless integration with AI agent frameworks (LangChain, PydanticAI, and others), as well as external systems via connectors, plugins, and SDKs What You’ll Do
* Design and build MCP APIs and core backend services
* Develop and maintain SDKs (Python, TypeScript, Go, Rust)
* Build connectors and plugins for AI agent platforms (LangChain, PydanticAI, others)
* Design clean, scalable, and ergonomic developer-facing APIs
* Own integration infrastructure (auth, streaming, event pipelines, webhooks)
* Build and optimize real-time data flows between agents, services, and the database
* Collaborate closely with database engineers to expose powerful capabilities through well-designed APIs
* Ensure reliability, observability, and performance of all external-facing systems

abra R&D is looking for a Senior Embedded Engineer! abra R&D is 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 You’ll 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 requAirements 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

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.

Analysis of processes and writing specification documents for development based on user requirements in HR systems including support until production
On-going collaboration with HR, payroll, and IT stakeholders in the organization.
Strong interpersonal skills, communication abilities, and teamwork.
Business understanding, technical leadership, process improvement and optimization, self-learning, and investigation.
The role requires in-depth understanding of various technologies and complex logic
working in a dynamic, agile environment in collaboration with various teams.

We are looking for a Senior Backend Engineer to join our R&D team in developing the new rising product in the health landscape.

As a Senior Backend Engineer, you will have an impact on how we architect, build, scale, and maintain our backend systems. You will provide technical guidance and mentorship to other engineers on the team, help establish and maintain best practices for development, and participate in the development of the companys technological roadmap. Youll solve complex engineering challenges and drive engineering excellence in a dynamic environment and rapidly increasing scale.

Our ideal candidate has a real passion for making a positive change in the world, for technology and customers, has great communication skills, and loves to constantly improve themselves, our working practices, and our code base.

This is a great opportunity to join the core team of a growing, successful startup and work with the most advanced technologies.

Responsibilities
Lead/Participate in system design and architecture discussions.
Implement and own infrastructure and features; be involved and impact the entire product lifecycle (concept, design, test, release, and production support).
Teach, mentor, grow, and provide advice to other domain experts and individual contributors.
Acquire an in-depth understanding of our technical challenges and strive to improve them.
Play a central role in technical, business, and organizational contributions.
Be a vocal advocate for technical excellence and help the team members make sound decisions.
Work with product managers, data scientists, and other team members to understand the desired requirements and provide your feedback to improve the outcome of the feature.