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We are looking for a highly motivated and technically curious QA Engineer to join our Backend Infrastructure team on a 1-year fixed term contract. In this role, you will validate large-scale enterprise backend systems used in healthcare environments, ensuring quality, reliability, performance, and operational stability
Your role:
Design and execute functional, integration, system, regression, and end-to-end manual tests for backend infrastructure components and complex distributed systems.
Validate installation, upgrade, migration, configuration, backup, recovery, and deployment workflows across single-server, clustered, distributed, and cloud-based environments.
Work closely with software engineers, DevOps, automation teams, and product stakeholders to investigate failures, improve testing strategies, verify fixes, and contribute to reliable software releases.
Investigate Windows, IIS, networking, database, and service-level issues by analysing logs, diagnostics, system behaviour, and infrastructure dependencies.
Participate in reliability improvement initiatives, design reviews, and post-incident investigations to strengthen overall product quality throughout the development lifecycle.

The Senior Marketing Designer joins our design team and works across everything design touches: the website, brand, GTM and sales assets, and internal and employer branding. As we move from category creator to category leader in autonomous cloud and AI infrastructure management, this role helps mature the brand and build a design language that projects confidence, trust, partnership, and real expertise. Our product is deeply technical and our buyers are technical - platform engineers, DevOps, and SREs who are allergic to fluff - so the work here isn't decoration, it's translating hard technical substance into design this audience trusts.

Design and evolve the website, from core pages to campaigns and product launches.
Create GTM and sales assets: decks, one-pagers, solution briefs, event graphics, and social.
Own internal and employer-branding design that supports culture and hiring.
Research the product, category, and audience deeply enough to design with real understanding.
Translate complex concepts across Kubernetes, cloud cost, and autonomous infrastructure into clear visual language.
Design for credibility with an expert buyer, choosing substance and clarity over decoration.
Partner with product marketing and engineering to get the technical story and details right.
Help evolve the brand from early-stage toward category-leader maturity, building and extending a consistent design language - system, templates, and reusable components.

Build the future of endpoint security - protecting customers at global scale, and shaping its next generation.
As a Senior Product Manager on our company's Endpoint Security team, part of our Workspace Security platform, you'll own product areas end-to-end - from strategy through launch and adoption - partnering with R&D, UX, data, and go-to-market teams, and working directly with the customers who use our products every day.
Why this role?
Define the future of endpoint security across prevention, detection, and response
Shape a product used by tens of thousands of global customers
Move quickly, backed by the scale, data, and customer base of a global security vendor
Key Responsibilities
What youll do
Own product areas end-to-end across inbound and outbound: define vision, strategy, and roadmap, then drive positioning, messaging, customer engagement, and enablement to market.
Work directly with customers to understand their challenges and translate them into product direction.
Define new capabilities across endpoint protection, threat detection, and response.
Partner deeply with engineering to make thoughtful tradeoffs between detection efficacy, performance, scalability, and customer experience.
Use data and analytics to guide prioritization, validate direction, and measure impact.
Bring structure to ambiguous problems, and communicate strategy, risks, and progress clearly to stakeholders and leadership.

We are looking for a Backend Engineer to drive the architecture and development of our AI-powered language learning platform. In this role, you will design and implement backend systems that directly impact millions of learners worldwide. You will architect scalable services that power real-time AI conversations, ensuring low-latency performance and reliability while building the foundation for our next generation of language learning features.
What Youll Do:
Design, develop, and maintain high-performance backend services and APIs (REST and gRPC) that power AI-driven conversational experiences.
Build and optimize asynchronous Python applications capable of handling real-time audio/text processing at scale.
Ensure seamless, low-latency integration between mobile and web clients and our AI backend platform.
Drive technical decisions on system architecture, focusing on low latency and fault-tolerance.
Collaborate with AI/ML, mobile, DevOps, and product teams to deliver end-to-end solutions that delight our users.
Work within CI/CD workflows to ensure smooth deployments and maintain high code quality standards.
Optimize system performance and resource utilization while maintaining reliability SLAs for our growing user base.

Were looking for an Account Manager who will manage a portfolio of our strategic customers in Israel from the onboarding stage to assuring satisfaction while identifying business needs in the customers AWS environment.
Work location: hybrid from Tel Aviv
Curious about what it's really like to work?
Explore our benefits, culture, and what success in your first year could look like here.
If you are interested in this opportunity, please submit your CV in English.
Key Responsibilities
Identify Cost Optimization, upsell, cross-sell, and renewal opportunities, and the need for a Dedicated DevOps or FinOps service.
Oversee a portfolio of assigned customers, develop new business from existing clients, and meet sales goals.
Onboard new customers and guide them through onboarding, ensuring a smooth transition to our product or service. Provide training and resources to help them get started effectively.
Act as the primary point of contact for assigned customer accounts. Develop a deep understanding of their business needs and objectives, and proactively engage with them to understand their evolving needs, challenges, and goals.
Gather feedback from customers regarding their experiences and needs. Relay this feedback to internal teams for continuous improvement.
Encourage satisfied customers to become advocates by participating in case studies, testimonials, or referrals.
Maintain and develop strategic vendor relations with AWS.
Regularly attend business events and conferences to promote and educate prospective clients on our benefits.

We seek a dynamic and experienced Cyber Security Engineer to join us! This role presents an exciting opportunity to work in a fast-growing company with great opportunities to make a difference.
In this role, you will be responsible for:
Design, implement, and maintain security architectures and controls across the organization's Cloud, SaaS, AI, and Corporate environments.
Secure enterprise infrastructure by strengthening cloud security, protecting sensitive data, managing identity and access, and continuously improving the organization's security posture.
Deploy, operate, and optimize enterprise security technologies across Identity, Endpoint, Network, Email, Cloud, SaaS, Data Protection, and Security Operations domains.
Identify, prioritize, and remediate security risks, vulnerabilities, cloud exposures, and SaaS security findings.
Lead end-to-end security projects across multiple teams, collaborating with Engineering, DevOps, IT, and Security Operations to implement scalable security solutions and drive automation.
Support the secure adoption of AI technologies while ensuring security controls align with industry best practices and frameworks such as ISO 27001, SOC 2, NIST CSF, and CIS Controls.

We seek a dynamic and experienced Cyber Security Engineering Tech Lead to join us! This role presents an exciting opportunity to work in a fast-growing company with great opportunities to make a difference.
In this role, you will be responsible for:
Design, implement, and maintain security architectures and controls across the organization's Cloud, SaaS, AI, and Corporate environments.
Secure enterprise infrastructure by strengthening cloud security, protecting sensitive data, managing identity and access, and continuously improving the organization's security posture.
Deploy, operate, and optimize enterprise security technologies across Identity, Endpoint, Network, Email, Cloud, SaaS, Data Protection, and Security Operations domains.
Identify, prioritize, and remediate security risks, vulnerabilities, cloud exposures, and SaaS security findings.
Lead end-to-end security projects across multiple teams, collaborating with Engineering, DevOps, IT, and Security Operations to implement scalable security solutions and drive automation.
Support the secure adoption of AI technologies while ensuring security controls align with industry best practices and frameworks such as ISO 27001, SOC 2, NIST CSF, and CIS Controls.

We are seeking a highly experienced, AI-obsessed AI Senior Backend Engineer to join our core Engineering department. In this newly created, cross-functional role, you will be the driving force behind the companys internal AI transformation. You will act as the responsible for artificial intelligence, architecting, building, and deploying custom AI and automation systems from scratch to empower various departments and streamline operations.
Key Responsibilities
Architect, develop, and deploy tailored AI systems and applications from the ground up to solve organizational challenges.
Identify process bottlenecks across different teams and design robust backend automation solutions to optimize daily workflows.
Lead the hands-on integration of modern Generative AI models, APIs, and frameworks into the company's internal infrastructure.
Build scalable, high-performance backend microservices and APIs to support heavy data processing and AI workloads.
Act as the technical AI focal point, partnering closely with internal stakeholders and department heads to gather requirements and deliver high-impact technological solutions.
Collaborate with product, DevOps, and other teams to ensure that AI solutions are aligned with user needs and business goals.

we are looking for a hands-on Data Platform Engineer to operate and evolve our enterprise Kafka ecosystem, which serves as the companys central data streaming platform. The role is critical to our data infrastructure and supports a major ongoing migration to the cloud, while covering production operations, troubleshooting, automation, maintenance, and reliability across high-volume, low-latency, 24/7 on-premises and cloud environments.
Responsibilities:
Operate and monitor Kafka environments across Confluent Cloud, Confluent Platform, and Kubernetes/CFK deployments, including availability, consumer lag, replication, throughput, latency, storage, and capacity.
Troubleshoot production incidents, participate in on-call, perform root-cause analysis, and improve resilience, failover, and disaster-recovery readiness.
Manage topics, partitions, retention, ACLs, consumer groups, Kafka Connect connectors, and Schema Registry.
Deploy, configure, upgrade, patch, and scale platform components and connectors while maintaining secure access and configuration consistency.
Automate platform operations and provisioning using scripting, infrastructure-as-code, and CI/CD.
Work with DevOps, SRE, Infrastructure, Security, Architecture, Data, and application teams to onboard workloads and continuously improve platform reliability and governance.

What You'll Be Doing
Define and continuously refine messaging and positioning for our products and features, ensuring clarity and consistency across all channels and audiences.
Lead end-to-end GTM strategy for product launches, from naming and positioning through enablement, campaign orchestration, and post-launch measurement.
Own analyst relations completely, including managing relationships with firms like Gartner and Forrester, coordinating briefings and inquiries, responding to research requests, and ensuring we are accurately and favorably represented in relevant reports and evaluations.
Conduct win/loss interviews, competitive analysis, and customer research to sharpen positioning and keep the team ahead of market shifts.
Develop high-quality sales and customer-facing materials, including pitch decks, one-pagers, battlecards, and technical explainers.
Collaborate closely with Product, Sales, DevRel, and Content to ensure a unified narrative across the funnel.
Act as the voice of the market in roadmap planning, pricing discussions, and strategic initiatives.
Identify opportunities to incorporate AI tools into content creation, competitive research, and campaign workflows to increase speed and quality of output.
Track and report on PMM impact across pipeline influence, win rates, analyst positioning, and content usage.

We're backed by tier-1 global VCs, led by second-time founders, and already deployed with organizations operating at serious scale. AI is not a feature here - it's the system.
We're hiring a Senior AI Engineer to design, fine-tune, and operate AI agents and large-scale models in production. This role exists because off-the-shelf models aren't enough for the problems we're solving.
If you enjoy pushing models until they break - and then fixing them - keep reading.
What you'll do:
Design and operate AI agents that reason, act, and collaborate with humans
Fine-tune and adapt large language models for:
Behavior analysis
Reasoning over long, messy timelines
High-precision enterprise workflows
Build agent orchestration systems (tool use, memory, planning, feedback loops)
Run large-scale inference and training pipelines in production
Work on model evaluation, drift detection, and continuous improvement
Optimize for latency, cost, and reliability at real enterprise scale
Partner closely with DevOps, security, and backend engineers - no research silos
Ship models that are auditable, explainable, and safe in sensitive environments

we are looking for a AI Full-Stack Engineer.
What will you do:
Design, build, and maintain production-grade AI-powered applications and services.
Develop end-to-end full-stack solutions, including backend services, APIs, and modern React-based frontends.
Build scalable, secure, and highly available distributed systems.
Develop AI agents, copilots, autonomous workflows, and intelligent automation.
Build and deploy RAG (Retrieval-Augmented Generation) solutions and integrate LLMs into production.
Design AI orchestration workflows using frameworks such as LangChain, LangGraph, or similar.
Implement AI evaluation, tracing, and observability pipelines using Langfuse or equivalent tools.
Develop MCP (Model Context Protocol) integrations and AI tooling ecosystems.
Build and maintain cloud infrastructure, CI/CD pipelines, and Infrastructure-as-Code.
Drive engineering productivity through AI-assisted development and automation.
Collaborate closely with Product, Design, and Engineering teams to deliver customer value.
Research and evaluate emerging AI technologies and introduce innovative solutions.
Own features end-to-end-from architecture and development to deployment, monitoring, and continuous improvement.

As an Offensive Security Engineer, you will spearhead offensive security operations and lead advanced threat research initiatives, playing a pivotal role in safeguarding our organization and customers from evolving cyber threats. You will develop and execute Red Team exercises, simulate real-world attacks, and identify security weaknesses in systems and applications. We seek a highly skilled, proactive tech leader who thrives in challenging environments and is passionate about advancing security research and offensive strategies.

As an Offensive Security Engineer, you will
Lead, plan, design, and execute Red Team operations, threat modeling, and adversarial simulations against infrastructure and cloud environments.
Drive threat research and intelligence initiatives to stay ahead of emerging cyber threats, attack techniques, and vulnerabilities.
Develop and execute advanced attack scenarios to assess security defenses and provide actionable recommendations for improving security posture.
Collaborate closely with security engineering, DevOps, and software development teams to implement findings and enhance our defenses.
Lead the development of tooling, frameworks, and methodologies to automate and optimize Red Team exercises.
Mentor and guide a team of security professionals, fostering a culture of innovation, collaboration, and continuous learning.
Participate in incident responses when Red Team exercises reveal vulnerabilities, providing expertise on attack techniques, forensics, and post-attack mitigation.
Continuously assess and improve security processes, playbooks, and threat detection mechanisms.

We are looking for an AI AppSec Engineer to join our team and make a real impact on our Secure Software Development Lifecycle! As an AI AppSec Engineer your mission will be to be the driving force behind our secure development lifecycle. You wont just find bugs; you will help build the systems that prevent them. You will have the opportunity to help navigate the "Agentic Era" by building autonomous security guardrails, securing LLM-based workflows, and empowering developers to move fast without breaking security. You will also be responsible for working closely under the AppSec Architect.
This role is based out of our Tel-Aviv site and will report to the AppSec Architect
What you will be responsible for:
Build & automate: Develop and maintain internal security tooling, automated workflows, and AI security agents.
Code integrity: Execute secure code reviews and provide actionable remediation guidance to engineering teams.
Vulnerability management: Lead the tracking, triaging, and reporting of security flaws across all product lines.
Best practice advocacy: Drive the adoption of secure coding standards, partnering with R&D and DevOps teams to embed security early and often.
Extend our D&R capabilities: Build scalable solutions to identify malicious activity, triage alerts, and investigate and remediate incidents.
Document: Draft requirement documents for security products and innovative technologies.

abra's Sales division is seeking an AWS reselling SDR to join our team We are looking for an entry-level AWS reselling SDR who will identify and qualify potential customers operating on AWS or on their way to it, and set up quality sales meetings for the Account Executives. The role requires confidence in phone calls, persistence, technological curiosity, and the ability to quickly learn the world of cloud and the value propositions of abracloud (AWS procurement, AWS-funded migrations, managed services, and GenAI projects). Full-time position, located in the central region. Key Responsibilities:
* Researching target accounts and identifying the stakeholders responsible for cloud budget and strategy (CTO, VP R&D, DevOps, CFO, FinOps).
* Running Outbound sequences by phone, email, and LinkedIn in Hebrew and English.
* Responding quickly to Inbound inquiries from campaigns, webinars, and conferences.
* Qualifying leads based on current cloud spend, purchasing method, migration plans, budget, timing, and decision-makers.
* Setting up qualified meetings for Account Executives and providing an organized summary.
* Working with AWS account managers and Partner Development Managers on Co-sell opportunities, and maintaining all activity in the CRM.