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The Junior / Trainee Instrumentation and Electrical Technician supports the installation, calibration, maintenance, and troubleshooting of instrumentation, control and electrical systems used in oil and gas operations. This role is designed for entry-level candidates and focuses on developing technical skills while working under close supervision of senior technicians, ensuring safe and reliable plant operations.

Ashdod, Southern District

Demonstrates ability to monitor and operate plant equipment and conduct routine duties and non-routine Operations activities.

Maintain a clean and organized work environment to identify hazards.

Toolbox talk and last-minute risk assessment using COW processes for a specific activity.

Demonstrates basic technical competencies and capabilities in upstream/ midstream/ downstream and manufacturing plant operations, including pipeline and hydrocarbon behavior

Demonstrates ability to troubleshoot and solve basic operational problems by teaming and collaborating with cross-functional teams

Supports and properly responds to unplanned events and their impact on equipment and operations.

Comply with the Companys safety standards, policies, and regulatory requirements

Identify and describe basic step-by-step maintenance requirements in Gas and chemical streams

Report and identify the source of surface staining on tanks and equipment.

Maintain, record, and inventory production supplies

It has basic ability to read/interpret/field as-built P&IDs, SAFE Charts, Cause & Effects.

Basic abilities to analyze trends of efficiency degradation on production equipment

Performs basic analysis of Process Safety Management (PSM)

Utilization of computerized systems, including SAP, D2 (document control), Enablon (E-PTW), and Bluebeam Revu.

Execute and understand MOC and RIK processes

Execute level 1 and level 2 Hazard analysis in general work, breaking containment, isolation of hazardous energy, bypass critical protection, and stop work authority to ensure safe operation.

Required Engineering Team Lead
The company delivers the industrys only platform that seamlessly unifies customer identity and fraud prevention, covering identity management, verification, and fraud protection. We serve leading consumer-facing industries, from banking and fintech to e-commerce and gaming.
Our R&D teams design and build advanced, cross-platform SaaS solutions that power our identity platform, developing large-scale, distributed systems that process hundreds of millions of daily interactions with cutting-edge data and AI technologies.
About the Role :
Youll lead a talented team of engineers working across multiple technology stacks, driving innovative solutions that shape the future of digital identity and customer trust.
What Youll Do :
Lead a talented team of engineers, mentor and grow them.
Drive the design, architecture, and delivery of complex SaaS features - across backend, web, and mobile.
Collaborate with Product, UX, and Data Science to deliver impact.
Oversee production systems in high-scale, mission-critical environments.
Champion best practices and foster a can-do engineering culture.

Maintenance & Technical Execution

Perform preventive, predictive, and corrective maintenance on rotating equipment such as Pumps, Compressors, Blowers, Engines, gearboxes, and related mechanical systems.

Troubleshoot mechanical issues using diagnostic tools, vibration analysis, and equipment history.

Support overhauls, breakdowns, and planned shutdown activities.

Ensure all work is performed according to engineering drawings, OEM (Original Equipment Manufacturer) manuals, and maintenance procedures.

Identify recurring mechanical problems and recommend long‑term solutions.

Safety & Compliance

Execute maintenance work in strict compliance with safety procedures MOC (Management of change), JRA (Job Risk Analyses), Control of Work, Start Work Checks.

Participate in toolbox talks and actively contribute to a safe working environment.

Maintain accurate records of inspections, repairs, and compliance checks.

Ensure proper hazardous energy isolation and safe work practices.

Project & Integrity Support

Assist with mechanical scopes of projects, upgrades.

Support asset integrity programs including vibration monitoring, lubrication management, and equipment condition assessments.

Participate in commissioning and start-up of new rotating equipment.

Collaborate with inspection teams on mechanical integrity and equipment health assessments.

Collaboration with Supply Chain

Identify required spare parts and support procurement of mechanical components and consumables.

Ensure proper storage and preservation of spare parts.

Assist with coordination of specialized vendors and third‑party maintenance services.

Maintenance Planning & CMMS

Provide feedback to planners and CMMS (Computerized Maintenance Management System) superusers for scheduling improvement.

Update CMMS with detailed work order information.

Support continuous improvement of job plans, procedures, and maintenance strategies.

Ensure maintenance frequencies follow regulatory, and reliability best practices.

Team Contribution & Performance

Collaborate effectively with technicians, engineers, and operations staff.

Support reliability initiatives and root cause failure analysis (RCFA).

Maintain strong preventive maintenance discipline to minimize unplanned shutdowns.

Job Description

Serve as the engineering and technical point of contact for the offshore facility

Collaborates with operations, maintenance, & construction personnel to identify, develop & implement offshore brownfield projects

Organizes and leads cross-functional teams to address complex issues or technical activities

Coordinates offshore construction and complex maintenance support vendors to ensure the highest level of safety, environmental, quality, & regulatory performance.

Verifies offshore equipment is installed and operates within company specifications, applicable regulations, industry codes, & Recognized and Generally Accepted Good Engineering Practices (RAGAGEP)

Develops and reviews relevant engineering and construction execution documents such as P&IDs, Construction Execution Workpacks, Risk Assessments, Piping Isometrics, Execution Schedules, Commissioning, Startup & Operations Procedures

Works in collaboration with stakeholders to clearly define project scope and objectives during the project development phase

Reviews EPC Contractor deliverables and ensure consistency with Design Specification for assigned facilities

Drives small project execution schedules within operating requirements and company business

objectives

Monitors project financial performance within planned company budget and overall business outcomes

Leads Facility system optimization efforts, defect elimination, and root cause analysis investigations

Required DevSecOps
About the Role:
As a DevSecOps engineer you will be a part of our DevOps group and play a critical role in designing and implementing application and infrastructure security programs that will make sure that our systems continue to be secure and compliant with our clients high bar.
You will work closely with developers and DevOps engineers to help identify and remediate application and infrastructure security issues.
What youll do:
Implement an application security program
Design and implement security automation and controls within CI/CD pipelines utilizing SAST, DAST and SCA tools
Collaborate on architecture reviews, threat modeling, and developer security training sessions to elevate AppSec maturity
Implement an infrastructure security program
Integrate and implement CSPM controls within a high scale cloud environment.
Own strategy for security in IAM, secret management and similar security-critical components
Own security training and review for DevOps teams.
Orchestrate execution of penetration testing on infrastructure and application and a bug bounty program
Own compliance processes within DevOps
Build and continuously improve SOC2 compliance processes and audit readiness tooling
Lead technical responses for internal and external audits, working closely with GRC, engineering, and cloud teams to resolve gaps and strengthen security posture.​

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..

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.

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.