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This position is responsible for interpreting Control Philosophies, Cause & Effects, P&IDs and developing, testing, documenting, and maintaining Rockwell ControlLogix PLC & FactoryTalk HMI based systems and Archestra System Platform object-based programs, templates, processes, and tools to manage and sustain programming code for offshore and high-pressure gas production facilities. Supports project activities including facility design, construction, commissioning, troubleshooting, managing, and maintaining SCADA, DCS, SIS, HMIs, PLCs, PCN Servers & Applications and Communication systems reliability and availability. Maintains SCADA data reporting systems, support Operations production reliability and optimization efforts and support PCN Information Risk Management (IRM) compliance. Train and mentor Operations and Maintenance personnel.

Required Data Platform Team Lead
About the Role:
The company is a top player in its game and is heading for an exciting year.
In this role, you will take an integral part in the creation of a new and innovative SaaS product.
If you are a talented software engineer that likes to solve complex problems and looking for your next challenge we want you to join our team!
What youll do: As the Team Leader for Data Platform, you will lead a talented team to design, implement, and deploy scalable data solutions for an innovative SaaS product. Youll be responsible for shaping the direction of a system that impacts millions of users worldwide. If you're an experienced manager with a strong technical background, ready to lead in a dynamic, fast-paced production environment, we want you on our team!
Responsibilities:
Lead and guide the Data Engineering team in the design and deployment of scalable data infrastructure.
Collaborate effectively with cross-functional teams (Data Science, Security, etc.) to ensure alignment on business needs and security standards.
Manage the technical backlog, make critical decisions on product milestones, and ensure timely, secure, high-quality delivery and deployment.
Foster the growth of team members through mentorship, personal development opportunities, and the promotion of continuous improvement.
Identify, manage, and mitigate security risks across the data platform, maintaining high standards in all initiatives.
Define and implement methodologies to guarantee the performance, scalability, and quality of our data infrastructure..

Crossix Data Platform is a framework which connects huge patient healthcare data from multiple sources in a privacy safe method on a daily basis to maintain a current view of the US healthcare market. The result enables two core businesses within our company: Crossix Analytics which is dedicated to advancing healthcare marketing with analytics, innovative planning, targeting, measurement, and optimization solutions; And Compass, which enables clients to study and analyze deidentified healthcare data for various needs. Both businesses are positioned at the center of big data, innovative technology and provide most life sciences companies with insights to help make strategic business decisions and drive improved patient outcomes.
As a senior software engineer, you will take a leading part in a dedicated team designing and building the infrastructure for connecting and analyzing huge, privacy protected datasets in the cloud using Java, Spark and other technologies.
What You'll Do
Work with Product Managers and team members to understand requirements, create and discuss feature design documents, and implement solutions
Build platform capabilities for a set of new scalable data products to support enterprise customers
Write back-end code in Java, which involves Spark, multiple cloud services, and relational databases
Build and use monitoring infrastructure to track services, troubleshoot problems, and optimize performance, throughput, and costs
Investigate production issues and ensure the system is constantly improving
Work with the production team to track services, troubleshoot problems, and figure out how to reduce costs
Solve privacy challenges to ensure consumer and patient data is never exposed.

Crossix Analytics, a business within our company, is dedicated to advancing healthcare marketing with AdTech analytics, innovative planning, targeting, measurement, and optimization solutions. Positioned at the center of big data, innovative technology, and multichannel media, our compny Crossix provides most life sciences companies with insights to help make strategic business decisions and drive improved advertisement and patient outcomes.
As an Engineering Manager, you'll lead a group of team leads and software engineers building the infrastructure for the unique company Analytics Platform.
What You'll Do
Build and lead a team of professional software and DevOPs engineers responsible to deliver high-quality software solutions
Provide technological and managerial coaching to R&D team members based on extensive hands-on and managerial experience
Ensure efficient CI/CD and testing coverage
Be accountable for group commitments
Cooperate effectively with Data scientists on productization of prediction data pipelines.

Required AI Engineering Team Lead
Tel Aviv-Yafo, Gush Dan, Israel
We offer the industrys only platform that fuses customer identity and anti-fraud solutions - customer identity management, identity verification, and fraud prevention.
We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.
About the Role:
As the AI Team Lead, you will guide a team of highly skilled machine learning engineers in developing and deploying advanced AI/ML solutions that power our identity and security products. Youll combine technical depth with leadership skills to drive innovation, ensure delivery of high-impact projects, and scale our data-driven capabilities across the organization.
This role requires both strategic thinking and hands-on expertise. Youll be responsible for shaping the data science roadmap, mentoring a growing team, and collaborating with product, engineering, and business stakeholders to translate business challenges into practical machine learning solutions.
What youll do:
Leadership & Team Management:
Lead, mentor, and grow a team of machine learning engineers and data scientists.
Foster a culture of technical excellence, collaboration, and continuous learning.
Define team goals, measure progress, and ensure high-quality deliverables.
Strategy & Roadmap:
Own the data science strategy and align it with company objectives.
Identify opportunities for applying machine learning and generative AI across products and internal systems.
Evaluate emerging technologies, tools, and methodologies to keep the team ahead of the curve.
Hands-On Technical Work;
Design, prototype, and implement ML models, including LLM-powered copilots, retrieval systems, and fraud detection pipelines.
Guide the deployment of models into production environments with scalability and reliability in mind.
Ensure best practices for experimentation, evaluation, and monitoring.
Cross-Functional Collaboration:
Work closely with engineering to integrate ML components into production systems.
Partner with product managers to align solutions with customer needs and business priorities.
Collaborate with security and compliance teams to ensure ethical and secure use of data.

we are seeking a talented Engineer to join our Big Data Analytics Tools group in Israel.
This is an amazing opportunity to work with a world-class team and to hold responsibility for designing and implementing big data platforms and pipelines.
You will work with Engineers, Data Scientists, DevOps, and PMs and be in charge of designing and developing Apache Spark applications on AWS infrastructures that process large volumes of media exposure records while preserving privacy.
If you want to grow with us and work for a world leader company, now is the right time to join.
What You'll Do
Be part of an engineering team that focuses on Big Data analytical platforms and tools
Design and implement highly reliable and scalable Spark applications that efficiently process big data
Collaborate with data scientists on the design and implementation of ML data pipelines
Integrate with relational databases, MongoDB, and AWS services (e.g. EMR, S3, SQS)
Work in an agile team to improve the development life cycle, development practices, and testing facilities.

Required AI Backend Engineer
Tel Aviv-Yafo, Gush Dan, Israel
We offer the industrys only platform that fuses customer identity and anti-fraud solutions - customer identity management, identity verification, and fraud prevention.
We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.
About the Role:
As the AI Backend engineer, you will join a team of highly skilled machine learning engineers in developing and deploying advanced AI/ML solutions that power our identity and security products. Youll utilize technical skills to drive innovation, ensure delivery of high-impact projects, and scale our data-driven capabilities across the organization.
This role requires both strategic thinking and hands-on expertise. Youll be responsible for shaping the data science roadmap, mentoring a growing team, and collaborating with product, engineering, and business stakeholders to translate business challenges into practical machine learning solutions.
What youll do:
Design, develop, and maintain backend services for AI agents and tool integrations using latest technologies
Build scalable APIs and microservices that interface with LLMs and AI frameworks
Implement agent orchestration systems, tool calling mechanisms, and workflow engines
Optimize performance and reliability of AI-powered applications at scale
Develop data pipelines for training, evaluation, and monitoring of AI systems
Integrate with various LLM providers (OpenAI, Anthropic, etc.) and manage API interactions.

We are looking for a visionary and technically versatile Data Science Manager to join the Data Science & MLE group within our DS & Analytics organization.
In this pivotal role, you will lead a hybrid team of Data Scientists and Machine Learning Engineers, acting as the bridge between cutting-edge technical innovation and high-level business strategy. You won't just be managing a team; you will be the Technical Lead defining how we solve complex problems-from predicting player behavior to optimizing marketing budgets using the latest in Generative AI.
You will partner closely with Game Directors, Product Managers, and our central analytics teams to drive value across Zynga's diverse portfolio. If you are a leader who is "bilingual" in data-possessing deep Data Science expertise to guide methodology while bringing high MLE and Engineering skills to build scalable, production-ready systems-we want to hear from you.
Key Responsibilities:
Team Leadership & Mentorship: Recruit, retain, and develop top-tier talent within the Data Science & MLE team. Foster an inclusive culture of innovation where technical rigor meets creative problem-solving.

Technical Direction & Engineering Standards: Act as the hands-on Technical Lead for the domain. You will supervise the end-to-end development lifecycle-from research to production-enforcing high standards and MLOps to ensure our models are scalable and maintainable.
Strategic DS & Analytics Support: Drive the development of advanced analytical frameworks to solve core business challenges. You will guide the team in applying rigorous statistical and machine learning methods to areas such as Time Series Forecasting, Causal Inference, Marketing Optimization, Root Cause Analysis, and more.
Strategy & Collaboration: Partner with Game Directors, BI Platform PMs, and embedded analytics teams to define the data strategy and roadmap. You will ensure that our technical initiatives are directly aligned with company-wide goals and solving the right problems.
Global Alignment: Maintain a tight collaborative network with Data Science & Analytics managers in North America, ensuring global consistency in methodologies, knowledge sharing, and joint development.

We are seeking a highly motivated NOC Engineer to join our support team in Israel.
In this role, you will monitor and maintain critical systems and environments, respond to Real-Time incidents, and support a wide range of technologies.
This position is ideal for a Computer Science student in the final year of studies who is eager to gain hands-on experience in a dynamic, 24/7 environment.

We are looking for a driven, tech-savvy, Technical CSM to join our team. In this role, you will provide professional services for our clients.
You will set up Connecteam features based on their processes, help integrate Connecteam with other platforms, and migrate data from other platforms into Connecteam. You will collaborate closely with CS and R&D teams to develop expertise and provide top-notch service, streamlining customer processes, onboarding and saving them valuable time
Responsibilities:
Meet with clients daily to provide the above services.
Work offline for clients to complete work given by them.
Build and maintain strong relationships with customers to understand their needs and provide tailored solutions.
Manage multiple tasks in a fast-paced and high-pressure environment.
Collaborate with CS and R&D teams to ensure a seamless customer experience.

Were looking for a Senior Talent Acquisition Partner to join our HR team and play a key role in driving our companys growth.
This is a strategic, hands-on position for someone who thrives on ownership, leads processes from A to Z, and brings broad business thinking into every hiring decision.
Youll partner closely with hiring managers, influence hiring strategies, and shape how we attract and engage top talent globally.
What you'll be doing:
Lead full-cycle recruitment for a wide range of technical and non-technical roles.
Act as a strategic partner to hiring managers - from defining needs to final offers.
Own and drive multiple recruitment processes simultaneously, ensuring high quality and efficiency.
Initiate and lead recruitment-related projects and process improvements, driving innovation and impact across the organization.
Develop creative sourcing strategies to build and maintain strong talent pipelines.
Use data and analytics to track performance, optimize processes, and provide insights to stakeholders.
Collaborate cross-functionally with leaders in Israel, the US, and Australia to support growth efforts.
Promote our employer brand through campaigns, events, and digital channels.
Deliver an exceptional, human-centered candidate experience throughout the process.

We are seeking a skilled and experienced Senior Frontend Infrastructure Engineer to join our Core Team. As a member of this team, your main responsibility will be crafting and evolving the frontend infrastructure of our product. You will focus on building resilient, scalable frontend frameworks, tools, and libraries that empower and support our React-based application and the teams building on top of it.
Responsibilities:
Design, develop, and maintain frontend infrastructure, including frameworks, tools, and libraries, to ensure high performance, scalability, and long-term maintainability.
Work closely with product and R&D teams to understand requirements, influence technical decisions, and ensure infrastructure solutions align with real product needs.
Serve as a senior technical authority in the frontend domain, leading by example through high-quality architecture, code, and best practices.
Identify and implement improvements to the frontend development experience, including automation, developer tooling, code reuse, and performance optimizations.
Take part in architectural discussions and help shape frontend standards and conventions across the organization.
Stay up-to-date with modern frontend technologies, trends, and best practices, and apply them pragmatically to improve development efficiency and product quality.
Conduct code reviews with a strong focus on maintainability, performance, and scalability.
Troubleshoot and resolve complex frontend infrastructure issues in collaboration with other engineers and infrastructure teams.