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Required Principal Software Engineer (Secure Agentic AI) - Petach Tikva \ Be'er Sheva
Job Summary:
Were building foundational infrastructure to secure AI agents-including their identities, access patterns, and interactions with sensitive systems and data.
This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent and user identity tailored to the modern agent ecosystem.
As a Staff Engineer, youll take ownership of these critical systems, designing and implementing how agents establish identity, receive dynamic access, securely interact with sensitive systems, and leave verifiable audit trails. Youll shape the long-term architecture, anticipate technical risks, and evolve systems that span both machine- and human-facing workflows.
This is a rare opportunity to combine hands-on engineering with technical leadership-writing critical code, mentoring engineers, sharing knowledge, and driving best practices-while building a platform from the ground up at the cutting edge of AI, identity, and security.
Responsibilities:
Own and guide the technical direction of core platform domains, including agent identity, authentication, authorization, and secrets management,
shaping architectures that span multiple services and teams while balancing scalability, reliability, and security.
Lead by example through high-impact implementation, mentoring engineers, and helping them navigate complex technical tradeoffs.
Proactively identify critical technical problems or gaps, and drive solutions from concept through delivery.
Establish and promote engineering best practices, ensuring high standards for code quality, security, and operational excellence.
Communicate complex technical concepts clearly to engineers, architects, product managers, and stakeholders, influencing decisions, fostering alignment, and driving cross-team collaboration.
Document key decisions, patterns, and practices to elevate team knowledge and ensure consistency across the platform.
Advocate for continuous improvement and operational efficiency, helping the team work smarter while maintaining a secure, high-quality platform.

We are seeking for an Technology Project Manager This role requires full end-to-end delivery ownership, from gathering and understanding requirements, through planning, prioritization, risk and dependency management, to successful implementation and achievement of business objectives.
Additional responsibilities include:
* Building detailed work plans and defining milestones.
* Ongoing monitoring of task progress.
* Proactive control and identification of potential blockers, with timely resolution.
* Matrix management of development teams and coordination of multiple interfaces simultaneously, including remote development teams and a large number of stakeholders.
* Daily work with Jira for managing work plans and tasks, tracking execution, generating status reports, monitoring progress metrics, and more. Full-time position, Sunday-Thursday, in the Central Israel area.

We are looking for a Manual QA Engineer with 1-3 years of experience to join our team and help ensure the quality of our mobile and web products. The role includes hands-on testing of IOS and Android applications, web-based systems, bug investigation, and close collaboration with developers throughout the development process.
Responsibilities Perform manual testing of mobile applications and web-based systems. Write and execute TEST cases and TEST plans. Identify, reproduce, document, and track bugs. Verify fixes and perform regression and integration testing. Work closely with developers and other team members to improve product quality.

Join our company- Migdal HaEmek we are a global leader in semiconductor innovation, developing advanced microcontroller solutions for cloud and personal computing platforms. Our products help drive secure, reliable, and resilient systems, making us a trusted partner and leading supplier in the semiconductor industry. We are looking for a talented IC TEST Engineer to join our experienced and growing team, taking part in the development of advanced semiconductor products from definition through production. What You'll Do Define, develop, and implement engineering and production TEST solutions for complex VLSI devices. Translate design specifications and product requirements into comprehensive ATE TEST plans and TEST programs. Develop, debug, validate engineering and production TEST programs for wafer sort and final TEST. Characterize IC devices Collaborate closely with cross-functional teams including Architecture, Design, DFT, Design Verification, Software, etc. Analyze TEST results, identify yield and quality improvements, and support product qualification and production ramp-up. Design and evaluate ATE hardware solutions, including Load Boards and Probe Cards. Work with external vendors and manufacturing partners to ensure successful product testing and release.

abra’s Data & AI Division is hiring a DBA (Oracle & SQL Server)! We are looking for an experienced DBA to join our Data & AI Division and manage complex Oracle and SQL Server environments, ensuring high availability, performance, security, and reliability across critical systemsWe are looking for an experienced DBA to manage and support complex Oracle and SQL Server environments, ensuring high availability, performance, security, and reliability across critical systems. Key Responsibilities
* Administer and maintain Oracle and SQL Server databases.
* Manage backups, recovery processes, upgrades, and patch installations.
* Monitor and optimize database performance.
* Troubleshoot connectivity, permissions, and infrastructure issues.
* Support production deployments and environment refreshes.
* Work closely with BI and development teams, including code reviews and best practice guidance.

we are leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend, and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. For more information, visit artlist.io At Artlist, we are pioneering a modern, AI-native approach to product analytics. We are looking for an ambitious Product Analyst to join us as a strategic partner and builder. In this role, you will leverage cutting-edge AI tools to amplify your impact, blending sharp product intuition with modern workflows to help shape our Product Strategy. You will spend your time tackling high-level business questions, establishing reliable metric frameworks, and building the systems that enable our product teams to move at lightning speed. Wake Up For This
* Leverage AI Tools such as Claude and Cursor: Use AI tools like Claude and Cursor as your daily co-pilots to write logic, process data rapidly, and prototype lightweight internal analytical tools.
* Act as a Strategic Advisor & Builder: Partner closely with product leaders to frame critical business questions, design evaluation frameworks, and guide high-level Product Strategy.
* Drive High-Level Product Analytics: Uncover overarching user behavior patterns, evaluate core conversion performance, and turn big-picture insights into actionable product opportunities.
* Establish Metric Definitions & Context: Define clear business logic, data dictionaries, and context files so that both human teams and AI assistants rely on a trusted single source of truth.
* Enable Speed & Self-Service: Design smart analytical frameworks that empower product teams to answer routine questions effortlessly, freeing you to focus on high-impact, strategic initiatives.

Appdome's mission is to protect every mobile app in the world and the people who use them. We are the leader in AI-native mobile business protection, providing cyber and fraud teams with an agentic platform that builds, monitors, and maintains security defenses in Android and iOS apps — with no SDKs, no coding, and no disruption to engineering cycles.
Our platform delivers over 400 security, anti-fraud, anti-bot, and API protection capabilities, powered by deep learning models trained on a decade of mobile defense data and trillions of live threat events. From build time to runtime, Appdome's AI Agents help mobile brands detect, investigate, and respond to threats faster than ever — recognized as the best AI Platform for Cyber Resilience at RSA Conference 2026 for the second consecutive year. Leading financial, healthcare, m-commerce, and B2B brands rely on Appdome to secure over 50,000 mobile apps and protect more than 1 billion end users globally.
Appdome is an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics.
About the Role We are looking for a talented Software Engineer to join Appdome's Identity Group. You will take part in building advanced fraud detection capabilities, working closely with security researchers and data teams to develop cutting-edge solutions that protect hundreds of millions of mobile devices.
Responsibilities Design and develop core components of fraud detection systems from early prototyping through production-ready releases. Build scalable backend services and distributed systems that process data at scale. Work with large-scale datasets and collaborate with data teams to create actionable signals and features. Write high-performance, production-quality code in C and C++ optimized for reliability and performance. Take ideas from rapid proof-of-concept through to production, tackling complex engineering challenges across the full development lifecycle.

We are looking for a talented and experienced Mid-Level Data Engineer with a passion for data and cloud technologies to join our team. In this role, you will be a key player in designing, developing, and maintaining our AWS and Databricks-based data platform. You will bridge the gap between robust Data Engineering, Database Administration (DBA), and high-performance Analytics Engineering.

The ideal candidate understands the Lakehouse architecture, has experience managing modern cloud data warehouses like Snowflake, and possesses the ability to build scalable ETL pipelines that drive data-driven business decisions.

Key Responsibilities

End-to-End Pipelines: Develop and maintain complex ETL/ELT pipelines using Python/PySpark on the Databricks platform, as well as loading and transforming data within Snowflake.
Data Architecture: Implement and manage data layers following the Medallion architecture (Bronze, Silver, Gold) using Delta Lake.
Optimization & Analytics: Set up and manage Databricks SQL Warehouses, perform query optimization, and utilize internal visualizations for rapid data exploration.
Cloud Infrastructure: Leverage AWS cloud services to manage data storage, compute resources, and secure data movement.
DBA & Performance Tuning: Act as a custodian for our data platform-managing indexing, clustering, vacuuming, and performance tuning across both Delta Lake and relational/warehouse environments to ensure cost-efficiency and high speed.
Data Modeling: Design data models (Star Schema / Snowflake) in the Gold layer to ensure optimal performance for BI tools (e.g., Power BI, Tableau).
Data Governance: Manage metadata, permissions, and lineage using Unity Catalog and platform-specific access controls.
Quality Control: Implement automated Data Quality tests as an integral part of the CI/CD data pipelines.

As a Cloud DevOps Engineer, you will be responsible for setting up, maintaining, and evolving the AWS cloud architecture, as well as for supporting infrastructure monitoring and alerting, issues troubleshooting, and developing required automation for our customers .

Responsibilities

Assist in creating a tailor-made architecture.
Deployment of advanced services on the cloud.
Implement automation solutions.
Maintain a feedback loop with the companys customers to ensure deliveries are in accordance with the customers needs and expectations.
Debug, troubleshoot and fix technical issues.
Setup large-scale monitoring and logging solutions.

We are looking for a highly skilled and visionary Senior Machine Learning Engineer to lead the architecture, design, and deployment of enterprise-grade AI/ML projects on AWS. In this role, you will take full technical ownership of advanced AI initiatives, leveraging both native managed services (such as Amazon SageMaker and Bedrock) and custom-built GenAI models to deliver transformative predictive insights and automation to our customers.

As a Senior ML Engineer, you will bridge the gap between complex data engineering and state-of-the-art data science. You will drive the design of scalable MLOps architectures, optimize high-volume data pipelines, and act as a trusted technical advisor to our clients. You will work closely with solutions architects, project managers, and data scientists, while also mentoring junior and mid-level engineers to elevate the team's technical capabilities.

Responsibilities

Architect and Lead ML Solutions: Spearhead the end-to-end architecture, development, and production deployment of robust Machine Learning models, including advanced predictive analytics, NLP, and Generative AI/RAG systems.
Enterprise MLOps & Automation: Define, design, and implement enterprise-grade MLOps strategies. Establish CI/CD pipelines for ML, automated model training, monitoring, versioning, and governance at scale.
AWS AI/ML Mastery: Architect innovative solutions leveraging AWS AI/ML managed services (e.g., SageMaker, Bedrock) to accelerate time-to-market while ensuring high performance and cost-efficiency.
Advanced Data Engineering: Lead the design of highly scalable infrastructure for extracting, transforming, and loading (ETL) data from diverse sources to support complex ML feature stores and model training.
Unstructured Data & Vector Search: Architect systems for the optimal ingestion, processing, and semantic retrieval of unstructured data (text, images, documents) using Vector Databases (e.g., OpenSearch, Pinecone) and graph-based reasoning.
Strategic Advisory & Collaboration: Act as a trusted AI advisor to external enterprise customers and internal C-level executives. Translate complex business constraints into scalable ML architectures and guide clients through their AI adoption journey.
Technical Leadership & Mentorship: Mentor mid-level and junior engineers, establish coding and architectural best practices, and foster a culture of continuous learning and innovation within the team.

The Senior Engineer will drive end-to-end AI projects, architect reliable AI platforms, and collaborate closely with product, engineering, and business teams to deliver high-impact solutions.



Summary of Key Responsibilities

Lead the design and implementation of Gen AI platform components using Python and modern microservices.
Drive engineering and operational best practices across AI projects.
Collaborate with technical, product, and business teams to deliver customer value and define product vision.
Lead end-to-end development of AI systems, including research, experimentation, deployment, and scaling.
Mentor and support engineers, fostering collaboration, knowledge-sharing, and continuous learning.
Analyze complex problems, define requirements, and propose AI-driven solutions.
Apply DevOps principles to maintain secure, scalable, and high-performance AI systems.
Design and implement secure APIs for safe interaction with AI models.
Stay up-to-date with the latest Gen AI technologies and trends, and bring innovation to the team.

We are seeking a highly skilled and motivated Senior Software Engineer GenAI to join our growing R&D team. In this role, you'll design, develop, and scale our next-generation backend platform, AI-driven workflows, and GenAI applications. You'll work with modern cloud technologies and LLMs to build resilient, high-performance systems while contributing to architecture, technical leadership, and mentoring.

This role is ideal for an experienced backend engineer who enjoys solving complex technical challenges, building scalable systems, and working with cutting-edge AI technologies.

Key Responsibilities

Design and develop scalable backend services using Python.
Build resilient distributed systems, microservices, and AI-driven workflows.
Integrate Large Language Models (LLMs) using AWS Bedrock and other AWS services.
Design and implement event-driven architectures and modern APIs.
Optimize databases, search capabilities, and caching strategies to support high-performance applications.
Contribute to cloud infrastructure, CI/CD pipelines, and observability practices.
Collaborate with Product, Data Science, and Engineering teams to deliver scalable solutions.
Provide technical leadership through architecture discussions, mentoring, and hands-on development.

The Salesforce Consultant will be responsible for performing business analysis in order to support the following departments - Sales, Customer Service, Partner Management, and Operations teams.



Summary of Key Responsibilities

Analyze customer business requirements and define future needs based on Salesforce best practices
Configure the Salesforce application based on the customer's requirements
Implementation and support activities for projects
Allocate tasks including project timelines
Deliver projects, using the most appropriate Salesforce tools and techniques
Apply best practices to build the Salesforce applications
Work with internal and external interfaces
Implement business functionality
Research Salesforce capabilities as needed to suit business requirements
Perform Quality Assurance of customer projects

Architectural leadership of the enterprise DWH project in an AWS cloud environment. The role focuses on designing robust data infrastructure, establishing the technological roadmap, and enabling seamless large-scale data processing to support BI and AI initiatives.

Key Responsibilities:

Lead the architectural design and implementation of the new enterprise DWH project.
Design, develop, and optimize complex cloud-based data solutions for processing massive datasets.
Select and implement the optimal AWS services (Redshift, Glue, Athena, EMR) and data formats (Parquet, Iceberg) for the core data stack.
Provide technical leadership, mentorship, and professional guidance to the Data Engineering team.
Collaborate closely with development teams, Data Scientists, and end-users to define requirements and deliver innovative Data and AI solutions.