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We are searching for an innovative and experienced Senior Big Data Engineer that will join us and be part of our big data group.
As a Senior Big Data Engineer, you will:
Lead the architecture and development of mission-critical, diverse and large-scale data pipelines over both public and on-prem cloud solutions.
Derive policies for data storage and versioning over peta-bytes scale complex storage solutions of multiple data lakes.
Design and develop smart ML infrastructure in order to build Agile ML processes (MLOps).
Work with Data Scientists to understand needs and design ML infrastructure solutions
Be a part of a collaborative heterogeneous data team which includes developers, data scientists, data engineers, MLOps and data scouts.

We are searching for an innovative Backend Engineer that will join us and be part of a SW team responsible of the full life cycle development of several web key applications including technical and statistical research, design, coding and integration.
This role will require you to move fast and deliver great products, you will be part of a smart, motivated, creative team of people who are filled with positive energy targeting to bring the best solutions to the finish line.
In this role youll :
Deliver scalable features to support our vision in a timely and quality manner
Building cutting-edge technologies that make a powerful impact on data-driven systems
Tackle tough problems and find creative ways to solve them
Produce (a lot) of high-quality, functional code that is readable, testable and maintainable
Leverage our in-house autonomous tools to manage all development flow, from setting up our development environment to creating git branches and deploying services to production
Be the owner of your domain to ensure code quality, performance, and scalability of our products

We are looking for an Algo-Dev Engineer to join one of our research teams. You will be working closely with our researchers, assisting them in achieving their research objective while developing tools and optimizing models in both offline and online environments.
Areas of responsibility include data-handling, deep dive into algo code, design, implementation, and deployment of technologies designed to enable innovative algo-trading projects and support existing and ongoing initiatives.
In this role you will :
Be involved in the execution of a significant new project, with high-end performance requirements and a deep understanding of the low-level implementation.
Participate end-to-end in research support, system architecture, implementation, simulation, testing and production.
Be responsible for designing and implementing research environments, offline and online data sources, coding machine learning algorithms, testing and deployment of solutions.
Collaborate with algorithmic and SW teams across the group to overcome our unique challenges.

The Fabric team is building the new generation of big data + AI platform all the way from ingesting to visual insights like dashboards and reports, combined with the power of our Power BI in Azure and Office 365.

This job is an opportunity to work on a new and exciting service that is betting on, be part of a vibrant team, and get proficient in the world of apps and services.

Our Fabric and Power BI are among the fastest growing segments of the software industry today which hold fascinating technological challenges of creating fast and rich ways to analyze huge masses of data. We are a leading player in the BI market both in terms of market share as well as in thought leadership and BI is a key investment for us.

We are looking for an outstanding software engineer to join our rapidly growing team. If you love finding creative ways to leverage new technologies to make meaningful business impact, leading other engineers on that path, versatile and willing to work at all levels of the code stack, like talking to customers for feedback, have an uncompromised passion for sleek and delightful experiences and designs, and have a strong background and passion for cloud engineering this is the best place for you to be.

Azure SRE teams strive to improve reliability fundamentals via software engineering, preferring long-lasting platform improvements delivered as engineering projects over repetitive manual operations. We contribute to the product fundamentals and architecture, share knowledge, and code, and prefer reuse over re-invention, always looking for ways to make what we build useful to multiple teams and products.

We are not looking for people who know it all, we are looking for people who want to learn it all. We value the input of people who arent afraid to learn all the time and embrace mistakes as they continuously improve both our services and themselves. If you are excited by this type of challenge and you love to work in groups of people who are similarly excited: come join us!

Responsibilities:
Partner across multiple product groups to apply subject-matter expertise in distributed systems design practices, interactions between cloud technology layers and components, basic dependencies at scale, and the code that defines infrastructures.
Lead by example and mentors others to produce extensible and maintainable code used across products.
Develop and evangelize insights, best practices, and standards that can be applied to improve system, platform, and/or product development and operations across the business.
Drive continuous improvements in the architecture, code, features, operations and comprehensive use scenarios of products by leveraging end-to-end technical expertise.
Make improvements to the product fundamentals and architecture, share knowledge and code, always looking for ways to make what we build useful to multiple teams and products. 
Demonstrates end-to-end expertise in distributed systems design, interactions between cloud technology layers.
Provide technical leadership in test maturity reviews, static analysis reviews, meetings, on-call rotations, and incident responses throughout product development and operations cycles.
Provides deep business and technical expertise as required to resolve major incidents.

Looking for an opportunity to have an impact on a growing business in our company? Interested in working on a product that has millions of users and generates significant revenue for our cloud and partners? Come and join our commercial marketplace team to help us transform how companies buy and sell software, services & solutions!

The Commercial Marketplace Experience (CMX) team is responsible for Azure Marketplace, targeting developers and IT professionals, as well as our AppSource, for business applications. Marketplace is the business engine that enables customers to seamlessly discover, try and buy every cloud solution that matters. Working with a network of thousands of partners around the world, hundreds of thousands of listings such as cloud building blocks, software products, and industry solutions. The Cloud Marketplace is driving our business across Azure, Office 365 and Dynamics 365.

We are looking for a Backend Software Engineer to join our development team. This team is responsible for the backend and frontend development of our commercial marketplace.

Responsibilities:
Be accountable for major development efforts.
Gain knowledge and be a subject matter expert in various domains.
Write design specifications that address business requirements, and drive signoff by all stakeholders.
Represent the team in technical meetings.
Be part of an on-call rotation.
Focus on engineering, security, and compliance.

In the Enterprise & Security group, we are responsible for securing our users identity and data from ever increasing threats. We build operating system technologies that protect our users and secure our users data.

The Enterprise & Security group that handles this critical domain in ILDC is expanding, you have an opportunity to join us and be a part of the founding team members.

If you are passionate about developing new functionality to keep us one step ahead of hackers, we have a job for you. Do you want to work on virtualization-based security technologies? Do you want to protect users even when OS kernel is an enemy? What about securing financial transactions? How about securing the OS boot from the early stages? Can you rise to the challenge of implementing the latest key isolation solutions? Weve got that and more. And as a senior engineer, you will help define and influence OS security across the world.

The Enterprise & Security group in ILDC focused on crypto algorithms, certificate trust, application isolation, secure boot technologies across Windows and Linux. We supply the most fundamental building blocks across products lines at Microsoft. Our work is exciting and impactful. Your code will run on billions of devices such as PCs, tablets, phones, thermostats, as well as in Windows and Linux servers in the cloud. Our crypto and TLS module power the Azure Cloud, our device management solution manages millions of devices across the planet, and our virtualization-based security technologies are preventing malware attacks every day. The utmost reliability, efficiency and security of code is a mandate in this team.


Our companys mission is to empower every person and every organization on the planet to achieve more. You will make sure we do that securely.

We are looking for an outstanding manager to lead our CPU performance compiler team in Israel.
You will be leading engineers who develop compiler optimizations, code generation, and tools targeted at getting the best performance for silicon.
Our team works across many different organizations on state-of-the art, industry impacting technology that improves the user experience for all customers with better run-time performance, battery life, code size and enhanced security.
We closely collaborate with numerous software and hardware teams and actively participate in the LLVM open source project.
We are looking for a leader with strong engineering background who can work closely with software and hardware partners and help advance our compiler technology.

Imagine what you could do here.
new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly.
Every single day, people do amazing things .
You will become part of a hands-on development team that furthers engineering perfection, creativity and innovation.
We want you to join our wireless modeling team if you are a resourceful engineer with the desire to research and develop solutions that will construct products.
You will lead development of wireless simulation model to achieve fast SW development including models design, development, integration and unit-testing.
You will lead research and investigation of major architecture oriented problems and solutions including planning, building unique virtualization infrastructure in MacOS environment, data analysis and presentation of the research results to wide forum.
Define system level functionality of the wireless sub-system - HW definitions, HW-FW partition.
You will work closely with HW design, architecture, FW and Driver teams to define the functional and performance goals of the system.
Work independently and lead deliverables to align with the project goals and also support multi-functional engineering efforts.

As a Senior Data Engineer at CodeValue, you'll play a crucial role in our data team, contributing to the development and maintenance of scalable data pipelines and systems. You'll be at the forefront of designing, implementing, and optimizing data solutions that drive our business objectives and empower data-driven decision-making processes. Collaboration with data analysts, data scientists, and other stakeholders will be essential to ensure data integrity, reliability, and accessibility. Responsibilities:
* Design, develop, and optimize data pipelines and architectures using a variety of technologies and tools including Python, SQL, Spark, Kafka, and Airflow.
* Develop efficient data models to facilitate storage, retrieval, and processing, with a focus on schema design for NoSQL databases, data lakes, and data warehouses.
* Ensure scalability of big data architecture to handle large data volumes and high traffic loads.
* Implement data quality checks, validation processes, and data governance measures to ensure accuracy and consistency of data.
* Monitor, troubleshoot, and debug data issues and performance bottlenecks.
* Implement security measures such as encryption, access controls, and data masking to protect sensitive data.
* Research and evaluate new data technologies and best practices to enhance data engineering processes and solutions.

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