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DataOps / MLOps Engineer
full-timeNetanya

Summary

Location

Netanya

Type

full-time

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About this role

תאור משרה

We are looking for

A DataOps Engineer to lead the establishment of the DataOps domain, including MLOps, end-to-end within the military AI program
This role applies DevOps methodologies and tools to build and deploy Big Data and AI solutions with meaningful technological impact in a secure and innovative environment


Responsibilities


End-to-end establishment of the DevOps domain including DataOps and MLOps from both technical and methodological perspectives
Establishment and management of data services (DataOps)
Building and optimizing data pipelines to extract data from multiple sources and load it into data warehouses
Design, implementation, and maintenance of data pipelines and services using tools and platforms such as OpenShift, S3, Spark, Airflow, and microservices
Applying best practices and standards for data quality, security, and reliability
Optimizing performance and scalability of data solutions through automation
Exploring new technologies and applying innovative concepts
Collaborating closely with Big Data and AI engineers and developers


Requirements


B.Sc. in Computer Science or Data Science
At least 5 years of hands-on experience in the DevOps domain
Proven experience establishing DevOps including DataOps/MLOps domains end-to-end
Experience with DevOps & MLOps concepts and tools
Hands-on experience with infrastructures and platforms such as OpenShift and S3
Strong background in data technologies and solid understanding of Agile and DevOps philosophies
Experience with Python and SQL (and/or other programming languages), data analytics and pipeline projects, cloud technologies (GCP, AWS, etc.), unit testing and integration frameworks, and Docker
Strong interpersonal and team collaboration skills
Technical leadership capabilities

Other facts

Tech stack
DataOps,MLOps,DevOps,Big Data,AI Solutions,Data Pipelines,OpenShift,S3,Spark,Airflow,Microservices,Python,SQL,Cloud Technologies,Docker,Agile

About ElbitSystems

Elbit Systems is a leading global defense technology company, delivering advanced solutions for a secure and safer world. Elbit Systems develops, manufactures, integrates and sustains a range of next-generation solutions across multiple domains.

Driven by its agile, collaborative culture, and leveraging Israel’s technology ecosystem, Elbit Systems enables customers to address rapidly evolving battlefield challenges and overcome threats.

Elbit Systems employs approximately 20,000 people in dozens of countries across five continents. The Company reported $1.9 billion in revenues for the third quarter ended September 30, 2025 and an order backlog of $25.2 billion as of such date.

Team size: 10,001+ employees
LinkedIn: Visit
Industry: Defense and Space Manufacturing

What you'll do

  • The role involves the end-to-end establishment of the DataOps and MLOps domains, focusing on both technical and methodological aspects. Responsibilities include building and optimizing data pipelines, managing data services, and collaborating with engineers and developers.

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Frequently Asked Questions

What does a DataOps / MLOps Engineer do at ElbitSystems?

As a DataOps / MLOps Engineer at ElbitSystems, you will: the role involves the end-to-end establishment of the DataOps and MLOps domains, focusing on both technical and methodological aspects. Responsibilities include building and optimizing data pipelines, managing data services, and collaborating with engineers and developers..

Why join ElbitSystems as a DataOps / MLOps Engineer?

ElbitSystems is a leading Defense and Space Manufacturing company.

Is the DataOps / MLOps Engineer position at ElbitSystems remote?

The DataOps / MLOps Engineer position at ElbitSystems is based in Netanya, Center District, Israel. Contact the company through Clera for specific work arrangement details.

How do I apply for the DataOps / MLOps Engineer position at ElbitSystems?

You can apply for the DataOps / MLOps Engineer position at ElbitSystems directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about ElbitSystems on their website.