Data Center Operations Manager, Global Server Operations

1 ימים

Data Center Operations Manager, Global Server Operations

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Required Data Center Operations Manager, Global Server Operations
About the job
We're not just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind our powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like our Linux cluster). You'll also address the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.
You manage a team that ensures the quality installation of server hardware and components. You coordinate over multiple sites and take charge of complicated installations/troubleshooting.
The Data Center team operates some of the most sophisticated server, storage and networking systems on the planet. Our teams ensure that our customer service level agreements and availability targets are met while maintaining environmental and safety standards, at scale.
As a Server Operations Manager in the third-party Data Center team, you will be responsible for daily operations in third-party owned and operated data center facilities. In this role, you will manage a team of data center technicians and oversee the installation and maintenance of server and network infrastructure. You will take charge of complicated installations/troubleshooting and ensure timely completion of project work. As a people manager you will look after your team's development and career growth.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of our platforms, we make product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
Responsibilities
Lead a team of individuals; set and communicate individual and team priorities that support organizational goals. Meet regularly with individuals to discuss performance and development, and provide feedback and coaching.
Maintain, monitor, and execute security and operational procedures and track/analyze trends to identify opportunities for improvements ensuring alignment with organizational policies.
Repair, fix, and perform preventative maintenance on equipment, servers, machines, or infrastructure based on identified issues.
Support and contribute to the implementation of Environmental Health and Safety (EHS) and other compliance programs and initiatives in collaboration with other teams to ensure environmental and safety incidents are investigated, resolved, and reported.

דרישות:
Minimum qualifications:
Bachelor's degree in a technical field or equivalent practical experience.
8 years of experience in computing infrastructure, networking, operating systems, or hardware.
5 years of experience managing technical, vendor, contract management, or delivery teams.
Ability to work non-standard hours, including working weekends, night shifts, holidays and on shift-based schedules as required.
Ability to travel 50% of the time.
Preferred qualifications:
Experience working in data center environments, including building and operating infrastructure, and network and compute architecture and lifecycle.
Experience with initiating and executing initiatives in a global environment.
Ability to implement and drive the safety culture at the site, while fostering a collaborative team environment. המשרה מיועדת לנשים ולגברים כאחד.

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21/06/2026

Senior Data Engineer ( Data Collection)

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were looking for a Senior Data Engineer in the Data Collection Ingest team to contribute to the design and coding of our data ingestion services & pipelines. This role involves working as part of a team that handles millions of requests per minute across multiple servers, and is responsible for a wide-range of data pipelines, processing billions of events each day.
Why is this role so important?
As the most trusted platform for measuring online behavior, millions of people rely on our insights daily as the ground truth for their knowledge of the digital world. Producing these insights requires large scale raw data to be ingested reliably in high scale to provide stable signals for analysis. As a Data Engineer you will have the opportunity to perform hands-on work and own our raw data ingestion pipeline end-to-end. Your work will have a direct impact on the quality and reliability of our data and the insights that our products are delivering to our customers.
So, what will you be doing all day?
Your role as Data Engineer of the Ingest Data Collection team means your daily responsibilities may include:
Design, code and manage end-to-end our data ingestion pipelines, both online and offline.
Take charge of developing & maintaining modern data infrastructure, while implementing best practices for building data pipelines.
Be responsible for high-scale ingestion services, solving challenges of availability, reliability, and scalability.
Run the production environment by monitoring availability and taking a holistic view of system health and data quality.
Own data infrastructure features from design to production using industry best practices with focus on quality and delivery.
Lead design & decision-making processes of the team.
Solve diverse complex problems of scale, performance and business logic.
Collaborate with product managers and other team leaders to plan, nurture, and implement an efficient and effective development process.
Continuously learn and evaluate new technologies in the everlasting effort to perfect our products
Perform code reviews, evaluate implementations, and provide feedback about potential improvements.
Improve your skills, learn from and mentor top-notch engineers and enrich other team members.
Have lots of fun!

Requirements:
Has 5+ years of experience in developing code for big data infrastructure. Proficiency in technologies such as: Databricks, Spark, Airflow, Firehose, SQS, or other similar tools.
Proven experience working with high scale on AWS or any other cloud provider. Experience in architecture and design of large-scale and high performance production systems.
Comfortable taking challenges and learning new technologies.
Excellent communication skills with the ability to provide constant dialog between teams.
Ability to take business requirements and translate them to technical alternatives by performing risk management and evaluating tradeoffs.

This position is open to all candidates.

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4 ימים

Lab Manager

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: More than one

Full Time

Temporary

Hybrid work

As our Lab Manager, you'll work shoulder-to-shoulder with Development, Product, QA, Automation, Research, and DevOps to design and deliver the topologies our product is built and tested on. You'll translate sprint requirements into functional lab environments, manage their lifecycle, and keep the whole operation running efficiently.

The Impact You Will Have
Collect lab requirements from R&D stakeholders and deliver functional lab topologies according to sprint plans (agile scrum methodology).
Spin up compute and network resources in AWS and ESXi and configure them.
Setup Active Directory domains, organizational units, group policies and adjust them to varying scenarios.
Deploy workstation and server machines in a variety of OSs.
Setup routing and access policies between the various hosts.
Install and configure different EDRs (S1, MDE, Cortex, CrowdStrike, TrendMicro and more).
Deploy different types of applications like credentials managers (LastPass, 1Password etc).
Deploy firewalls and implement network segmentation controls between the different subnets in each lab.
Adjust the lab environments to enable testing of new product features sprint by sprint.
Manage the lifecycle of the provisioned lab environments and keep track of cost.

Location (Hybrid): Tel Aviv, Israel.
6 months contract.

Requirements:
What Sets You Apart:
Minimum of 2 years of experience in managing labs, IT, DevOps, or a similar role
Proficient in server installation and configuration, focusing on Windows (similar with Windows Admin Manager) and then Linux environments
Proficiency in AWS networking infrastructure (Mainly VPC, Subnets, Transit Gateways, AWS-VPN).

Even Better If You Have:
Experience with security technologies.
ESXi (VMware).
Experience with network equipment (e.g., routers, switches) and security applications.

How You Work:
"Can do" attitude, friendly, customer oriented, attentive and supportive.
Excellent communication skills for creating technical and user documentation.
Strong organizational skills and attention to detail.
Ability to work collaboratively with engineering teams and other stakeholders.
Problem-solving skills and the ability to troubleshoot complex technical issues.
Strong project management skills to manage the lifecycle of engineering labs and environments.
Ability to handle multiple tasks and prioritize effectively in a fast-paced environment.

This position is open to all candidates.

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17/06/2026

Senior Backend Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are seeking a Senior Backend Engineer - Data Platform to join our expanding team and play a crucial role in designing, building, and maintaining robust and scalable data pipelines and infrastructure. In this role, you will directly enable data-driven decision-making and support the development and deployment of AI/ML products that power our Health.

Youll collaborate closely with engineering, product, and data science teams to ensure our data systems are high-quality, resilient, and scalable as we grow. As a Senior Backend Engineer on our Data Platform team, you will drive efforts to deliver reliable, efficient, and consistent data services across the organization. You will also help enable the rapid development and deployment of advanced features, insights, and AI-driven capabilities that improve outcomes for clinicians and clients.

How will you contribute?
Design, implement, and maintain scalable and reliable data pipelines and backend systems supporting both operational and analytical needs, with a focus on ML/AI product enablement.
Ensure data processing is optimized for speed, efficiency, and fault tolerance, enabling seamless integration with AI/ML workflows and reliable performance across all our Health products.
Monitor and improve uptime, reliability, and observability of our data infrastructure and pipelines.
Build and maintain systems to ensure data quality, consistency, and usability across the organization, enabling advanced analytics and AI solutions.
Work closely with product and engineering teams to deliver new features rapidly and with a high standard of technical excellence.
Drive innovation in how we build, measure, and optimize data features, backend services, and AI product integrations.
Participate in on-call rotations with a service-oriented approach and fast responsiveness.
Lead scalability efforts to support increasing data volumes, expanding AI/ML initiatives, and new product launches.

דרישות:
Who are you?
You are a seasoned backend or data engineer with experience working on production-grade ML/AI-powered products. You thrive in fast-paced, high-ownership environments and are passionate about building scalable and reliable systems. You understand the unique requirements of delivering AI/ML features in production, and you are comfortable working with modern technologies in the LLM/RAG ecosystem.
You pride yourself on delivering high-quality solutions quickly, without sacrificing design or reliability. Youre known for your responsiveness, collaborative spirit, and service-oriented mindset-especially when youre on-call and the stakes are high.

At least 5 years of experience with Python in backend or data engineering roles, designing and operating large-scale data pipelines, backend services, and data infrastructure in production environments.
Hands-on experience working on ML/AI-powered products in production, with strong understanding of requirements for integrating data platforms with AI features.
Familiarity with modern LLM (Large Language Model) and RAG (Retrieval-Augmented Generation) technologies, and experience supporting their deployment or integration.
Familiar with or have worked with these technologies (or alternatives):
Data Processing & Streaming: Apache Spark, DBT, Airflow, Airbyte, Kafka
API Development: FastAPI, micro-service architecture, SFTP
Data Storage: Data Lakehouse architectures, Apache Iceberg, Vector Databases, RDS
ML/AI: ML/LLM libraries and frameworks (such as Gemini, Hugging Face, etc.)
Cloud Infrastructure: AWS stack (S3, Firehose, Lambda, Athena, etc.), Kubernetes (K8s)
Demonstrated ability to optimize performance and ensure high availability, scalability, and reliability of backend/data systems.
Strong foundation in best practices for data quality, governance, security, and observability.
Ability to collaborate effectively with engineering, data science, and product teams in a cross-functional setting.
Track record of innovative thinkin המשרה מיועדת לנשים ולגברים כאחד.

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4 ימים

Data Operations Specialist (Maternity Leave Replacement)

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time and Temporary

We are seeking a detail-oriented and highly technical Data Operations Specialist to join our Data Operations team for an 6- month maternity leave cover. In this role, you will be responsible for annotating various events on our distinct fiber sensing data, and managing datasets to support various products and projects. You will play a crucial part in ensuring the quality and integrity of our data, contributing to multiple critical initiatives. You will help improve our annotation procedures, techniques, and tooling; and work closely with ML and Algo teams as well as Data Engineering.
This is a unique opportunity to gain hands-on experience in data operations within a dynamic environment using cutting edge and novel technology. You will join a talented team dedicated to leveraging data for impactful projects. If you are passionate about data and eager to contribute to exciting challenges, this might be the perfect opportunity for you.
What Youll Do:
Data Annotation - Accurately annotate datasets using internal tools, adhering to annotation guidelines and maintaining high standards for consistency and quality.
Tool Maintenance - Help maintain team tools, such as annotation tools and automated processes, using Python and Gen AI.
Quality Assurance - Review and validate annotated data to ensure accuracy and consistency, identify discrepancies, and suggest solutions to improve processes.
Continuous Improvement - Participate in the continuous improvement of our tools and data operations processes to achieve more accurate models, and more streamlined data flow between the different teams in the company.
Data Management - Support the ongoing maintenance of annotated datasets, ensuring data integrity and accessibility, and implementing best-practices to create seamless data flows.

Requirements:
A Bachelor of Science degree or equivalent (STEM fields an advantage).
Strong attention to detail and a commitment to maintaining high-quality annotation standards.
Good written and verbal skills, with the ability to work effectively with a diverse group of individuals.
Familiarity with Gen AI tools and their abilities.
Great to Have:
Familiarity with data annotation processes, especially non-structured data (images, video, audio).
Experience working with seismic data, heat maps, or spectrograms.
Familiarity with SQL and data visualization tools.
Experience with coding languages, preferably Python.

This position is open to all candidates.

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15/06/2026

Manager, Technical Support

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

As a Support Manager based in Israel, you will be responsible for hiring, mentoring, and managing a team of support engineers focused on delivering exceptional customer service, driving data-driven improvements, and fostering a high-performing, customer-centric culture. Reporting to the Director of Support, you will play a key role in building and shaping the Israeli support centre, ensuring alignment with Armis from Service now operational standards and ongoing commitment to service excellence.

What Youll Do:
Lead and mentor technical support engineers, assigning tasks and ensuring efficient issue resolution.
Support, coach, develop and lead a team of technical support engineers to deliver world-class service.
Motivate team members and address challenges that may arise in daily operations.
Identify areas for training and skills development to continuously improve team capability.
Communicate organizational goals, priorities, and business needs to ensure clear expectations across the team.
Monitor daily activities, including backlog management and workload distribution, ensuring SLA adherence and operational efficiency.
Drive the Technical Support team to achieve high customer satisfaction and success, measured through defined KPIs and performance goals.
Maintain a deep understanding of us from Service now products, solutions, and technical environments to provide guidance and subject-matter expertise.
Provide managerial oversight and serve as an escalation channel for internal and external customers.
Implement Knowledge-Centered Support practices to capture, share, and leverage knowledge for faster, higher-quality resolutions.
Partner closely with Customer Success, Product Management, Program Management, and Engineering to develop and refine support processes and influence product quality.
Develop, communicate, and enforce team policies, procedures, and operational standards.
Review case updates from team members, providing coaching and feedback to improve communication and case handling.
Conduct customer follow-ups and survey reviews to ensure feedback is addressed and service excellence is maintained.

Requirements:
10-15 years of technical experience in IT, networking, or cybersecurity environments.
5+ years of proven management experience leading technical or customer support teams.
Strong understanding of network protocols (TCP/IP, routing, switching).
Expertise in network security technologies, including firewalls, IDS/IPS, and VPNs.
Experience with security best practices, frameworks (such as NIST, CIS, etc), and compliance standards
Experience with cloud platforms (AWS, Azure, or GCP).
Working with Docker/Kubernetes-based environments
Technical experience supporting Linux-based products
Proven ability to troubleshoot complex network, system, and security issues in enterprise environments.
Excellent communication, collaboration, and problem-solving skills, with a focus on customer empathy and results.
Demonstrated leadership experience, fostering team growth and accountability in high-performance environments.
Relevant technical certifications such as CCNP, CCIE, CISSP, or CISA are highly desirable.

This position is open to all candidates.

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24/05/2026

Site Reliability Team Leader

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for an experienced SRE Team Lead to drive the reliability, observability, and automation practices across our private cloud infrastructure and operations. In this role, you will lead a team of site reliability engineers, own the engineering roadmap for monitoring and automation, and act as a key liaison between development, operations, and platform teams. You bring at least 3-4 years of hands-on people management experience and a deep technical background in SRE or DevOps disciplines.

What will you do?

Leadership & Team Management

Lead, mentor, and grow a team of SREs, providing technical direction, career development guidance, and day-to-day management.

Own the team roadmap for reliability, observability, and automation initiatives - prioritizing work, removing blockers, and driving delivery.

Conduct regular 1:1s, performance reviews, and hiring processes to build and sustain a high-performing team.

Foster a culture of operational excellence, blameless post-mortems, and continuous improvement.

Act as an escalation point for complex incidents and reliability issues, leading post-incident reviews and ensuring follow-through on action items.

Automation & Infrastructure

Design, develop, and maintain automation tools to support infrastructure and operations teams at scale.

Manage pipelines and infrastructure workflows using Jenkins, Ansible, Python, and Bash.

Drive the adoption of infrastructure-as-code practices across the organization.

Collaborate with system engineers to improve scalability, performance, and fault tolerance of critical systems.

Monitoring & Observability

Build and extend monitoring and alerting systems using Grafana, the ELK (Elastic) stack, Zabbix, and custom scripts.

Implement and enforce observability best practices to ensure full visibility into systems, applications, and infrastructure.

Define and track SLIs, SLOs, and error budgets across key services.

Partner with development teams to embed observability earlier in the software development lifecycle.

Database & Platform Support

Support monitoring and infrastructure integration for databases including MongoDB and PostgreSQL.

Maintain documentation and champion knowledge sharing around automation, monitoring, and reliability practices.

Requirements:
What you need:

Experience & Leadership

3-4+ years of experience in a people management or team lead capacity within SRE, DevOps, or infrastructure engineering.

5-8+ years of overall experience in SRE, DevOps, or infrastructure automation roles.

Proven track record of building, coaching, and retaining high-performing engineering teams.

Experience owning an engineering roadmap and driving cross-functional reliability initiatives.

Technical Skills

Strong scripting skills in Python and Bash; comfortable building and maintaining production-grade automation.

Hands-on experience with infrastructure automation tools, particularly Ansible.

Solid experience with monitoring and observability platforms - ELK stack, Grafana, and Zabbix.

Good understanding of CI/CD pipelines and related tooling, including Jenkins.

Familiarity with managing and monitoring MongoDB and PostgreSQL in a production environment.

Comfortable working in Linux-based environments.

Excellent problem-solving skills and strong written and verbal communication.

Ability to support the following:

Experience with cloud providers - AWS, GCP, or Azure.

Exposure to containerization technologies such as Docker and Kubernetes.

Familiarity with infrastructure provisioning using Terraform.

Experience introducing SRE practices (SLOs, error budgets, chaos engineering) at an organizational level.

Exposure and experience with migrating/ building AI tools to improve process.

This position is open to all candidates.

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1 ימים

SoC Test Automation and Infrastructure Lead, Cloud

חברה חסויה

Location: Tel Aviv-Yafo and Haifa

Job Type: Full Time

Required SoC Test Automation and Infrastructure Lead, Cloud
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Tel Aviv, Israel; Haifa, Israel.
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
our data centers are the most advanced in the world. In this role, you will help to manufacture the SoCs that power these data centers by developing and deploying comprehensive manufacturing test and data analytics solutions for high-volume manufacturing at wafer fabrications and Outsourced Semiconductor Assembly and Test (OSATs). You will have an opportunity to create silicon in the most advanced technologies and follow it into the field to close the loop back to design and test for the next-generation of chips.
You will help to integrate SoC technologies into devices and drive manufacturing test flows to assure performance and screen devices, drive yield improvement, cost optimization and work closely with cross-functional teams to ensure the optimal test coverage in production to ensure high quality SoCs
Responsibilities
Provide tools, set the environment and create automation to silicon engineering (SiEng) teams, collaborate with Test, Product, quality and reliability (Q&R) and system-level test (SLT) teams.
Create smooth and effective ways to manage silicon engineering (SiEng) datastream to and from suppliers and internally, between different platforms, while optimizing formats and datalogs, convert per need.
Verify test solutions on pre-silicon models (simulation or emulation) and support Automated Test Equipment (ATE) test development setup and environment.
Develop test method for ATE platforms.
Provide pre and post silicon dashboards and indicators that will reflect the status, demonstrate progress and point on the gaps.

Requirements:
Minimum qualifications:
Bachelors degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
10 years of experience in test or product engineering, with experience in infrastructure and automation and people management experience.
Experience in pre-silicon validation, test content generation, ATE program development, big data handling and post-silicon enabling from New Product Introduction through high-volume manufacturing.
Experience with ASIC test methodologies (mbist, atpg, dft serdes, sensors).
Experience with Python, Java, C# or C/C++ and Advantest or Teradyne ATE platforms.
Preferred qualifications:
Masters in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
10 years of experience in test engineering, including product engineering.
Experience in ATE hardware design and proliferation: loadboards/probecards, handler kits, sockets, and thermal control solutions.
Experience with CPU/GPU SoC architecture, design, validation and debug.
Demonstrated expertise in developing automations for pre-silicon verification and post-silicon test-generation/test-program domains.
Inquisitive and motivated to venture into, and improve, all aspects of post-silicon testing from definition to realization.

This position is open to all candidates.

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אירעה שגיאה בשליחת פרטיך למשרה

17/06/2026

Data Platform Team Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are seeking a Data Platform Team Lead to play a pivotal role in building and maintaining our robust data platform. You will lead a talented team of data engineers ensuring a collaborative and high-performing environment within and outside the team.

The ideal candidate must have excellent business understanding, attention to detail, technical and analytical abilities, and a deep Data Engineeiring understanding. The candidate will be self-driven, independent, able to coordinate with different teams and groups and handle ambiguity well within the organization.

How will you contribute?
Provide technical leadership and direction for the data platform, including data pipelines, data lake, data governance, and data security.
Partner with data analysts and BI analysts to understand their needs and ensure the platform effectively supports their work.
Design, develop, and implement solutions to optimize data ingestion, storage, processing, and analysis.
Oversee data platform projects
Build self-serve accessibility tools and platforms for the entire company to use
Foster a culture of collaboration and continuous improvement within the data teams.
Mentor and develop the technical and analytical skills of the team members.
Stay up-to-date on the latest trends and technologies in data platforms and analytics.
Communicate effectively with stakeholders across technical and non-technical departments.

Requirements:
Require Skills and Experience:
5+ years of experience in data engineering or a related field - must.
2+ years of proven experience in leading and managing a data team - must.
Fluency in Python, Airflow and DBT - must.
Proficiency in data modeling, ETL, SQL, data visualization and BI tools - must.
Strong technical skills in data platform technologies like Spark, Kafka, Athena, cloud platforms (AWS, Azure, GCP) and orchestration frameworks - must.
Ability to learn new technologies and lead complex projects.
Solid understanding of data lake concepts and data modeling principles.
Experience in global data and BI project management.
Excellent analytical and problem-solving skills.
Strong communication and collaboration skills - Hebrew and English - written and verbal.
Experience with data governance and data security best practices - advantage.

What qualifications and skills will help you to be successful?
Accountability - we can trust you to take ownership of your tasks from A-Z and understand the gravity of the data you are working with.
Agility and adaptability - we can trust you to get things done, learn what it takes on your own and adapt to a very dynamic environment
Communication - you are able to successfully communicate complex issues and problems
An analytical mind with problem-solving capabilities
Great interpersonal skills
This is a unique opportunity to join a startup that is having a meaningful impact on the well-being and mental health of thousands.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8698518

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המשרה הוחזרה לרשימת תוצאות החיפוש

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אירעה שגיאה בשליחת פרטיך למשרה

07/06/2026

Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

we are looking for a Data Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless workers who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
In this role, you will be responsible for:
Designing, building, and maintaining scalable data pipeline architectures
Developing ETL processes to integrate data from multiple sources
Creating and optimizing data models for efficient storage and retrieval
Implementing data quality controls and monitoring systems
Collaborating with data scientists and analysts to deliver data solutions
Building and maintaining data warehouses and data lakes
Performing in-depth data analysis and providing insights to stakeholders
Taking full ownership of data quality, documentation, and governance processes
Building and maintaining comprehensive reports and dashboards
Ensuring data security and regulatory compliance.

Requirements:
Bachelor's degree in Computer Science, Engineering, or related field
3+ years experience in data engineering
Strong proficiency in SQL and Python
Experience with ETL tools and data warehousing solutions
Knowledge of big data technologies (Hadoop, Spark, etc.)
Experience with cloud platforms (AWS, Azure, or GCP)
Understanding of data modeling and database design principles
Familiarity with data visualization tools - Tableau, Sisense
Strong problem-solving and analytical skills
Excellent communication and collaboration abilities
Experience with version control systems (Git).

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8683076

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מודים לך שלקחת חלק בשיפור התוכן שלנו :)

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המשרה הוחזרה לרשימת תוצאות החיפוש

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אירעה שגיאה בשליחת פרטיך למשרה

11/06/2026

Data Engineer II - GenAI

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

As a Data Engineer, youll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspects-ensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and more.

Youll work closely with teams across the company to ensure the availability of high-quality data from ML platforms, powering decisions across all departments. With access to petabytes of data through MySQL, Snowflake, Cassandra, S3, and other platforms, your challenge will be to ensure that this data is applied even more effectively to support business decisions, train and monitor ML models and improve our products.

Key Job Responsibilities and Duties:

Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.

Dealing with massive textual sources to train GenAI foundation models.

Solving issues with data and data pipelines, prioritizing based on customer impact.

End-to-end ownership of data quality in our core datasets and data pipelines.

Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.

Providing tools that improve Data Quality company-wide, specifically for ML scientists.

Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.

Acting as an intermediary for problems, with both technical and non-technical audiences.

Promote and drive impactful and innovative engineering solutions.

Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation.

Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.

Requirements:
Qualifications & Skills:

Bachelors or masters degree in computer science, Engineering, Statistics, or a related field.

Minimum of 3 years of experience as a Data Engineer or a similar role, with a consistent record of successfully delivering ML/Data solutions.

You have built production data pipelines in the cloud, setting up data-lake and server-less solutions; ‌ you have hands-on experience with schema design and data modeling and working with ML scientists and ML engineers to provide production level ML solutions.

You have experience designing systems E2E and knowledge of basic concepts (lb, db, caching, NoSQL, etc)

Strong programming skills in languages such as Python and Java.

Experience with big data processing frameworks such, Pyspark, Apache Flink, Snowflake or similar frameworks.

Demonstrable experience with MySQL, Cassandra, DynamoDB or similar relational/NoSQL database systems.

Experience with Data Warehousing and ETL/ELT pipelines

Experience in data processing for large-scale language models like GPT, BERT, or similar architectures - an advantage.

Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, and matplotlib - an advantage.

Experience with experimental design, A/B testing, and evaluation metrics for ML models - an advantage.

Experience of working on products that impact a large customer base - an advantage.

Excellent communication in English; written and spoken.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8690239

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