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We are assembling a highly skilled, small-scale engineering team focused on transforming generative AI innovation into real, production-grade platforms.
As a Platform Engineer with a strong backend orientation, you will architect and implement the core infrastructure that enables rapid deployment, experimentation, and scaling of advanced AI capabilities. Your work will bridge cutting-edge research with reliable, secure, high-performance systems powering the next generation of digital intelligence products.
Responsibilities:
Design and develop backend services and APIs for SaaS applications using Node.js and TypeScript
Architect and implement microservices and distributed systems optimized for scalability and maintainability
Build and maintain CI/CD pipelines for automated deployments and testing
Develop cloud-native solutions leveraging AWS services and Kubernetes (EKS)
Manage infrastructure as code using Terraform and Helm for Kubernetes deployments
Ensure system reliability, security, observability, and performance at scale
Collaborate with cross-functional teams to deliver features in an agile environment
Continuously improve platform architecture and development workflows.

As Project Manager, you will oversee end-to-end project delivery, from planning and requirements gathering to implementation and deployment. You will work closely with clients, technical implementers, and internal stakeholders to ensure successful execution of complex projects. Key Responsibilities:
* Lead and manage AI, Low Code / No Code, and enterprise AI tool implementation projects from initiation to delivery
* Manage projects involving Microsoft Dynamics, Power Platform, and AI tools (including Copilot Studio and Gemini Enterprise)
* Plan, track, and report on project milestones, budgets, and resource allocation
* Coordinate teams of technical implementers, developers, and business stakeholders
* Ensure projects meet client requirements, quality standards, and deadlines
* Serve as the primary point of contact for clients, maintaining strong relationships and understanding business needs

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.

We are seeking a Senior Backend & Data Engineer to join its SaaS Data Platform team.
This role offers a unique opportunity to design and build large-scale, high-performance data platforms and backend services that power our cloud-based products.
You will own features end to end-from architecture and design through development and production deployment-while working closely with Data Science, Machine Learning, DevOps, and Product teams.
What Youll Do:
Design, develop, and maintain scalable, secure data platforms and backend services on AWS.
Build batch and streaming ETL/ELT pipelines using Spark, Glue, Athena, Iceberg, Lambda, and EKS.
Develop backend components and data-processing workflows in a cloud-native environment.
Optimize performance, reliability, and observability of data pipelines and backend services.
Collaborate with ML, backend, DevOps, and product teams to deliver data-powered solutions.
Drive best practices, code quality, and technical excellence within the team.
Ensure security, compliance, and auditability using AWS best practices (IAM, encryption, auditing).
Tech Stack:
AWS Services: S3, Lambda, Glue, Step Functions, Kinesis, Athena, EMR, Airflow, Iceberg, EKS, SNS/SQS, EventBridge
Languages: Python (Node.js/TypeScript a plus)
Data & Processing: batch & streaming pipelines, distributed computing, serverless architectures, big data workflows
Tooling: CI/CD, GitHub, IaC (Terraform/CDK/SAM), containerized environments, Kubernetes
Observability: CloudWatch, Splunk, Grafana, Datadog
Key Responsibilities:
Design, develop, and maintain scalable, secure backend services and data platforms on AWS
Build and operate batch and streaming ETL/ELT pipelines using Spark, Glue, Athena, Iceberg, Lambda, and EKS
Develop backend components and data processing workflows in a cloud-native environment
Optimize performance, reliability, and observability of data pipelines and backend services
Collaborate with ML, backend, DevOps, and product teams to deliver data-driven solutions
Lead best practices in code quality, architecture, and technical excellence
Ensure security, compliance, and auditability using AWS best practices (IAM, encryption, auditing)

We are looking for a Software Engineering Team Leader to shape the user experience of Cisco Cloud Control.

As an Engineering Manager in Cisco Cloud Control, youll play a key role in

building the next-gen platform that brings together Ciscos product portfolio under one AI-native roof. Youll lead a growing engineering team in our TLV WeWork office (dedicated Cisco space with all the perks) while collaborating with global Cisco groups on cross-product AI solutions. Own the design and implementation of functional and non-functional UI features.

Partner with your team to plan epics, deliverables, and sprints.
Work with org architects to drive functional and non-functional product enhancements.
Collaborate with other Cisco groups to deliver AI-native, cross-product integrations.
Actively contribute to the codebase, review PRs, and ensure engineering excellence.
Build and mentor a high-performing team while navigating the challenges of a large enterprise with a startup mindset.

We are seeking for a talented AI/ML developer with strong focus on Python expertise and hands-on experience in AI/ML models to join our Data Science group. The Data Science group plays a pivotal role in driving the execution and delivery of advanced AI and modern Machine Learning solutions, that empower impactful projects to our target sectors.
Key Responsibilities:
Take part in all development aspects, from concept to production, of AI/ML models and LLM-based features (agents development)
Stay up to date with state-of-the-art research in the field of LLM and apply relevant advancements to improve our solutions
Mentor new team members and share your expertise to strengthen the teams collective knowledge.

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.

Required Full Stack GenAI Engineer
Position Overview:
We are assembling a small-scale team of innovators committed to a transformative mission: advancing generative AI from conceptual breakthrough to tangible product reality. As a Senior Full Stack GenAI Engineer, you will be a critical architect of the technological infrastructure that brings our most ambitious GenAI concepts to life, transforming our digital intelligence solutions through cutting-edge AI innovation.
What youll love about your mission:
You are more than a developer, you are an innovation catalyst who will:
Transform abstract GenAI concepts into tangible, functional web applications
Design and develop flexible, scalable platforms that can rapidly prototype AI-driven solutions
Create intuitive interfaces that showcase the transformative potential of our AI technologies
Build the technological bridge between complex AI research and user-friendly product experiences
Experiment fearlessly with emerging technologies to push the boundaries of what's possible
What sets this role apart: Innovation at the Intersection of Technology:
You'll be working at the forefront of GenAI product development
Every line of code you write has the potential to unlock a breakthrough GenAI solution
Your technical expertise will directly impact the future of digital intelligence technologies
Exploration and Innovation:
Develop adaptive web architectures that can quickly integrate new GenAI capabilities
Experiment with cutting-edge frontend and backend technologies
Create flexible systems that can evolve with rapidly changing GenAI technologies
Collaborate closely with AI/GenAI researchers to translate complex concepts into user-friendly interfaces.

We are building a focused internal initiative inside our company, designed to accelerate innovation and bring a new AI Agent to market faster. This role is social-first and creator-driven, focused on building organic momentum from zero by turning product ideas and POVs into engaging content: short-form video, social narratives, creator collaborations, and influencer-style distribution. This full-stack marketer will be a core member of that initiative.
You will work day-to-day with product, design, and development teams in a fast-moving, venture-style environment. The work is concentrated, agile, and highly collaborative. Although you will align with the central marketing organization for guidance, resources, and brand standards, you will operate independently and shape your own roadmap.
This role is ideal for someone who enjoys working inside a startup-like team within a larger company. Someone who likes owning the entire marketing execution, building from zero, thinking and acting like an entrepreneur, and partnering deeply with product to turn ideas into real, market-ready experiences.
You will work across the entire marketing stack while managing a small network of freelancers and collaborating with agencies as needed. Youll personally drive core execution.
What will you do
Operate as the marketing lead for an internal venture - work directly with product and engineering teams each day to shape positioning, messaging, experiments, user engagement loops, and go-to-market motions.
Build and scale organic growth across social platforms - personally ideate, create, and produce content, including hands-on video creation, while designing and running creator and influencer marketing programs.
Build and run the marketing engine - own campaign creation and execution across paid, social, email, landing pages, and content.
Work with agencies and freelancers - manage a small roster of task-specific freelancers (creative, video, ops, social) to produce assets quickly and efficiently. Work with performance agencies in early phases for paid campaigns (Google, Meta, LinkedIn, programmatic).
AI-first execution - use AI tools to accelerate production of copy, creative, video, research, optimization, and experimentation loops.
Run campaigns at scale - build multi-channel campaigns that drive awareness, signups, pipeline, and paid customers.

we are looking for a Senior Software Architect Bayretail.
What Youll Do:
Drive the execution and delivery of product features by collaborating with cross-functional teams
Lead key engineering initiatives to improve overall engineering effectiveness and productivity
Iteratively define and refine development processes and engineering best practices as teams grow
Recruit, challenge, and reward high-performing software engineers and managers.
Work in an agile, small team environment with a focus on speed and quality
Be a trusted partner for senior management to determine the best solutions, help drive alignment and implement decisions throughout your team
Pre-sales Support; including solution workshops and POCs, written responses, and relationship building

We are seeking a QA Engineer with a strong passion for data quality, performance, and scale to join our Data Platform team.
This role is ideal for a QA professional who enjoys working close to complex data systems, understands large-scale pipelines, and wants to play a key role in shaping the automation and quality strategy of a data engineering organization.
You will act as the primary quality owner for high-volume, mission-critical data platforms, working closely with data engineers, backend developers, and platform teams.
What Youll Do:
Data Quality & Validation:
Design and execute data validation strategies for large-scale batch and streaming pipelines
Ensure data correctness, completeness, freshness, and consistency across the data lake
Define and automate checks for schema changes, data drift, and data quality regressions
Performance & Scalability Testing:
Plan and execute performance and scalability tests for data pipelines and processing jobs
Identify bottlenecks across ingestion, transformation, and querying layers
Partner with engineers to validate performance improvements and prevent regressions
Automation & Infrastructure:
Develop and maintain the data teams QA automation infrastructure
Build reusable testing frameworks and tools tailored for large datasets and pipelines
Integrate automated tests into CI/CD pipelines and production monitoring workflows
Collaboration & Ownership:
Work closely with data engineers, backend developers, and platform engineers throughout the development lifecycle
Act as the sole QA owner within a cross-functional team, driving quality without becoming a bottleneck
Participate in design discussions to ensure testability and observability are built in from the start
Quality Mindset & Communication:
Champion a quality-first culture within the team
Clearly communicate risks, findings, and quality metrics to technical stakeholders
Balance thoroughness with pragmatism in fast-moving, high-scale environments.

We are looking for developers with experience using state of the art engineering, development and DevOps methodologies.
In this fast pace and expanding organization, we foster an environment of continuous innovation and working in agile teams.
You will play a major role and you will collaborate with other teams to create scalable solutions in a public cloud environment.

Youll be part of a flat, fast-moving organization motivated by collaboration. As part of our team, you can adapt and evolve organization to accelerate the rate at which delivers value to customers.
Enjoy understanding other cultures and perspectives?
Youll also have the opportunity to travel in the US and Europe!
Job Description & Requirements:
3 years of development experience in Web or Mobile.
One or more years of experience in React Native in cross platform mobile environment.
Experience with popular React.js workflows (such as Redux)
Deep understanding of UI and UX aspects ,Ability to translate UI/UX wireframes to visual elements.
Understanding of the differences between multiple delivery platforms and UI optimization.
Familiarity with RESTful APIs
Building reusable components and front-end libraries for future use.
Translating designs and wireframes into high quality code.
Optimizing components for maximum performance across a vast array of web-capable devices and browsers