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We are seeking a Software Engineer with strong C++ expertise on Linux to join our team. The ideal candidate demonstrates exceptional analytical and logical thinking, the ability to independently infer system behavior from complex data flows, and a deep understanding of performance-critical software.

You will work on designing and optimizing scalable, high-throughput systems, navigating complex architectures, and reasoning about real-world network behavior. Familiarity with telecom environments, protocols, and large-scale traffic systems is highly valued, along with a mindset that proactively identifies problems, deduces root causes, and drives solutions end-to-end.

We work with modern cloud-native architectures, large language models (LLMs), multimodal AI, autonomous agents, and advanced analytics platforms to solve complex business challenges. As part of our companys Technology Consulting practice, we collaborate closely with clients, engineers, data specialists, and business stakeholders to translate emerging technologies into scalable, production-grade solutions.
Role Overview
We are looking for a Data & AI Project Manager to lead the delivery of AI and Generative AI-based solutions for our clients. In this role, you will own projects end-to-end - from initial scoping and requirements definition through development, deployment, and continuous improvement.
This role is well-suited for a technically oriented project or product manager who enjoys working at the intersection of data, AI, engineering, and business, and who thrives in fast-paced, complex environments.
Responsibilities
Lead the full lifecycle of AI and data projects, from ideation and design through implementation, deployment, and ongoing optimization.
Translate business and user needs into clear system requirements, technical specifications, and structured delivery plans.
Define project scope, priorities, milestones, and deliverables, ensuring execution on time, within scope, and within budget.
Collaborate closely with development, data, and infrastructure teams to support efficient delivery and resolve technical dependencies.
Drive alignment between technical solutions and business objectives, ensuring delivered solutions generate tangible client value.
Manage multiple stakeholders on both client and internal sides, maintaining clear communication and expectations.
Support the design of intuitive, user-centered AI solutions and workflows.
Identify risks, manage trade-offs, and proactively address challenges throughout the project lifecycle.

our company's Monday.com global center of excellence and product development department is seeking an implementer in the worlds of Monday.com for the design and development of automated processes
Responsibilities:
Designing and writing requirements for clients abroad for complex business processes
Leading projects at a technical and business level
Leading extensive processes in the organization and driving a project to an excellence.

We are seeking for a talented Senior Java Developer to join our development center in Israel, a fast-paced and innovative environment.
Responsibilities:
Backend Development: Design and develop scalable, high-performance Java-based microservices.
Microservices Architecture: Take part in the design, implementation, and evolution of a distributed microservices ecosystem
Business Process Orchestration: Develop and maintain services that drive complex, multi-step business processes across multiple systems
System Integration: Collaborate with cross-functional teams to integrate services with internal and external systems
Performance & Scalability: Optimize services for high throughput, reliability, and fault tolerance in a large production environment
Technical Leadership: Participate in design reviews, propose architectural improvements, and contribute to best practices across the team.

We are looking for a driven Technology Implementation Specialist (Microsoft 365 & Copilot) to support the successful adoption of Microsoft 365 and AI-based productivity tools for enterprise clients. The role involves leading workshops, onboarding sessions, and user trainings as part of end-to-end implementation projects, alongside hands-on work within customer environments.
Key Responsibilities:
Lead implementation projects for Microsoft 365 and AI-based productivity tools with global clients.
Conduct discovery and needs assessment sessions to define adoption strategies and technical solutions.
Design and deliver training programs tailored to various user groups.
Deliver professional trainings, workshops, and onboarding sessions (in-person and remote) for end users, managers, and IT teams.
Create clear and user-friendly documentation, playbooks, and learning materials.
Support clients post-implementation, helping ensure successful and sustained adoption.
Collaborate with cross-functional teams and adapt solutions to meet both technical and business needs.
Utilize low-code/no-code tools (e.g., Power Platform) to build simple agents, bots, or workflows where relevant.
Stay updated on trends and new features within the Microsoft ecosystem and modern work technologies.

We are looking for a Technical Support member with experience and technical background to handle case reproduction in the support LAB.
Key Responsibilities:
As a support LAB assistant, you will be required to simulate issues in the LAB and maintain the LAB environment for our global and domestic employees.
You will work together with our global and local interfaces to simulate problems on the LAB and provide feedback to the agent that handling the case.
Use Salesforce to manage cases.
Ability to work on flexible hours.

We are looking for an experienced, opinionated, and highly technical Staff Data Engineer to define the long-term direction of our Data Platform.
This role is ideal for a senior data leader who combines deep hands-on expertise with strong architectural judgment, enjoys mentoring others, and takes full ownership of complex, high-scale data systems.
You will drive platform architecture, set engineering standards, and lead the design and delivery of scalable batch and streaming data solutions on AWS.
Key Responsibilities:
Technical Leadership & Architecture:
Own and evolve the overall data platform architecture-scalability, reliability, security, and maintainability.
Lead the long-term strategic direction of the platform, balancing performance, cost, and operational excellence.
Introduce and drive adoption of modern data paradigms: lakehouse (Iceberg), event-driven pipelines, schema-aware processing.
Data Lake & Architecture Ownership:
Design, model, and evolve the Data Lake architecture, including:
Storage layout and data organization
Data formats and table design (e.g., Iceberg)
Batch and streaming ingestion patterns
Schema governance and lifecycle policies
Define and promote best practices for data modeling, partitioning, and data quality.
Ensure the Data Lake supports analytics, ML workloads, and operational systems at scale.
Platform Engineering:
Design and build high-scale ETL/ELT pipelines leveraging Apache Spark (EMR/Glue) and AWS-native services.
Optimize production-grade pipelines using S3, Athena, Kinesis, Lambda, Step Functions, and EKS.
Lead the rollout of modern patterns such as lakehouse architectures and event-driven data pipelines.
Security & Governance:
Ensure alignment with AWS security best practices-IAM, encryption, auditing, and compliance frameworks.
Partner with security and governance teams to support regulated and sensitive data environments.
Mentorship & Collaboration:
Serve as a technical mentor to data engineers; elevate team capabilities.
Lead architecture reviews and cross-team design discussions.
Work closely with Data Science, ML Engineering, Backend, and Product teams to deliver end‑to‑end data solutions.

We are seeking for a talented Data Science Team Lead to join our development center in Israel, a fast-paced and innovative environment. You are a passionate data professional with proven experience in building and growing high-quality data teams, which will play a pivotal role in driving the execution and delivery of advanced Machine Learning models and algorithms, through mentorship and hands-on development, and by working closely with clients to understand their needs and key objectives.
Responsibilities :
Serve as a team expert in the most advanced Machine Learning methodologies, helping to plan and implement successful and impactful data science projects
Manage experienced team of data scientists, providing career guidance and performance evaluation to develop and retain talent
Solve non-routine analysis problems based on high-dimensional, complex data sets, by actively mentoring and coding
Lead deployment of large-scale data pipelines, ensuring a seamless delivery
working directly with key client executive decision makers and acting as the leading expert for best-practice data-driven solutions
Establish strong cross-functional relationships throughout the organization to improve our customer experience and set of offered skills.

We are seeking an experienced LLM & Agentic Systems Engineer to join our AI squad at our company. This role blends deep hands-on engineering with architectural responsibility and client-facing advisory work. You will design, build, and operate production-grade LLM and multi-agent systems, working on both greenfield initiatives and the evolution of existing GenAI platforms. You will play a key role in shaping technical direction, best practices, and delivery standards across the GenAI practice.
Key Responsibilities
GenAI Development & Implementation
Build end-to-end GenAI solutions from POC through production deployment
Design and implement backend microservices architectures for GenAI applications using Python
Design, implement, and maintain production-grade Python services with a focus on code quality, performance, and reliability
Architect and develop multi-agent systems, orchestration layers, and autonomous workflows
Integrate and optimize LLMs and GenAI APIs across complex systems
Evaluate and improve system performance, scalability, reliabililty, and cost efficiency
Client Engagement & Advisory
Lead technical discussions with clients and translate business needs into technical architectures Present GenAI solutions, design decisions, and trade-offs to technical and non-technical stakeholders Provide strategic technical guidance on GenAI adoption and system design
Cloud & Platform Ownership
Deploy and manage GenAI systems across GCP, Azure, and AWS Leverage cloud-native AI services (Vertex AI, Azure OpenAI, SageMaker, etc.) Own production environments, monitoring, and operational excellence
Continuous Learning & Practice Development
Evaluate emerging GenAI models, frameworks, and techniques Define and refine best practices for GenAI system development and deployment Contribute to internal accelerators, methodologies, and knowledge sharing.

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.

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.