דרושים » פיתוח תוכנה » Data Engineer

As part of Lite Interfaces team, youll be part in creating and improving products used by more than 1 billion users around the world, as well as driving growth for Metas family of apps through platforms such as SEO and paid marketing.

Our data engineers work cross-functionally with software engineering, data science and product management to provide the team with essential data needed for making strategic decisions, finding opportunities and answering crucial questions about our users and products.

As a data engineer, you'll have the opportunity to work with petabyte scale datasets and complex data models and logics, which youll then translate into efficient and scalable pipelines, tables and dashboards.
Data Engineer, Lite-Interfaces Responsibilities
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Solve challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
Optimize logging, pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
Influence product and cross-functional teams to identify data opportunities to drive impact

Unity is hiring a Staff Data Infrastructure Engineer to join the Team at SuperSonic Studios. We are looking for talented, curious, hands-on, business-oriented, and highly motivated candidate to enhance and support our extensive code infrastructure and our great data engineers, BI and Science teams. You will work with different stakeholders, BI, R&D, Growth, product team & Data science. Reporting to the Director of Data Infrastructure and co-working with the Data Infrastructure Manager. You must have a good understanding of the business and internal customers needs in order to provide them with the most useful and clear infrastructure. Also, we welcome you to put your ideas on the table and take initiatives during the project life cycles.

What you'll be doing

A Staff Data Infrastructure Engineer is responsible for designing, implementing, and managing the data infrastructure of an organization. Working closely with data scientists, software engineers, and other stakeholders to ensure the availability, usability, and integrity of data. Managing the cost reduction of the data team over the data infrastructure
Handling the POCs and new projects, supporting all the data engineering team members, providing technical guidance and assistance.
In charge of the machine-learning data stuck for offline and online.
Overseeing Data Architecture and Management, Managing the cost reduction of the data team.
Work with top notch data tools and environments at high data scale and super significant to the business. PB data scale.
Working on a large scale of Data, creating data lake infrastructure based on docker/Airflow combined with lots of AWS services & creating MASS ETL tools.
In addition, creating the data lake of the division, along with Presto over EMR.
In charge of 1B events per day, including log-servers written in Go-lang.
Working with Upsolver over AWS kinesis streams.

At the Microsoft Cloud Security team, we take immense pride in developing a diverse set of security products and services that are leaders in their respective market segments. Our innovative solutions have set new industry standards, earning global recognition safeguarding critical infrastructure at the highest scale.

Microsoft Defender for Cloud is a cloud-native application protection platform (CNAPP) designed to protect cloud-based applications running in all major cloud providers.

Microsoft Defender for Cloud secures cloud applications from code-to-cloud by unifying development security operations (DevSecOps) at the code level, cloud security posture management (CSPM) to surface and prevent breaches and cloud workload protection platform (CWPP) to identify, alert and block real-time cyber-attacks worldwide.

Were a diverse group of talented professionals consisting of software engineers, security researchers, program managers and data scientists collaborating to develop products that secure our customers, including the biggest companies in the world.

You will work in a supportive and inclusive environment where you will learn and work alongside the best and brightest minds in the industry, and have the opportunity to make a significant impact, grow your skills and advance your career.
Responsibilities
As a software engineer, you will have the opportunity to work on business-critical initiatives that directly shape the future of Microsoft Defender for Cloud business.

Your responsibilities will span across many areas of the product as well as all layers of the cloud technology stack. You will drive architecture and software design and be responsible for developing and owning new capabilities from idea inception to agile production release cycles planning and execution.

You will built on top of our advanced cloud security systems as well as broad range of ecosystem partners, the team is focusing on building security capabilities for a security product that will help our customers secure their assets across all clouds such as Azure, GCP & AWS and streamline their security recommendation, compliance insights & remediation processes to protect our customers cross clouds workload with various technologies!

Being a cloud infrastructure provider, were in a unique position to leverage that infrastructure, technology, and data to add value not possible by anyone else.

Cyber-attacks are increasing in volume and sophistication, evading traditional defenses, and posing a growing risk to enterprises from outside criminal organizations and malicious insiders in the organization. The Microsoft 365 Defender suite leverages the Microsoft 365 security portfolio - including Microsoft Defender for Endpoint, Office, Cloud Apps and Identity, as well as Microsoft Sentinel and XDR - to automatically analyze threat data across domains, building a complete picture of each attack in a single dashboard to monitor, hunt, detect and remediate threats. With this breadth and depth of clarity defenders can now focus on critical threats and hunt for sophisticated breaches, trusting that the powerful automation in Microsoft's security products detects and stops attacks anywhere in the cyber-attack kill chains and returns the organization to a secure state. Join our team of engineers to develop cutting edge detection and remediation systems. Be a part of defining and shaping the next big leap in the product's journey.

We use state of the art cloud technologies, big data solutions and AI at hyper scale and modern UX platform to deliver the highest value for our customers. If you're passionate about cyber security like us, and if you live and love data, want to make the world a safer place for millions of customers, love creating products for and with customers and are a team player - come join us. Our team values diversity of all types in candidates for our roles and we strive to hire people with different experiences and perspectives into our team. To that end, we know that no candidate has every desired skill and experience, but all of us together makes our team strong.
Responsibilities
As an engineer on our team, you will be working on cutting edge technologies to deliver exciting new features that impact and protect millions of users, with cross-team and cross-discipline collaboration (engineering, PM, design, research and data science). You will work closely with experienced engineers and be part of an agile and fast-moving development team - and will have a role in mentoring your more junior peers and helping them succeed. You will be expected to apply a critical view of our infrastructure, technologies and development process, proactively pushing to improve the product and our group. Our group is consistent from both feature teams and platform teams and we are looking for candidate with passion in either or both.

We are seeking a talented MLOps Engineer to join our innovative team. In this pivotal role, you'll be at the heart of our operations, bridging development, machine learning, and large language models (LLMs) to ensure seamless, efficient, and scalable deployment of our AI-driven solutions. If you're passionate about cutting-edge technology, excel in a dynamic environment, and are keen to make a significant impact, we're eager to connect with you!

Key Responsibilities
Collaboration: Work closely with ML engineers, data scientists, and software developers to integrate ML/LLM models into production.
Automation and Process Definition: Define work processes and implement automation pipelines to streamline ML/LLM development and deployment, enhancing productivity and efficiency.
Deployment and Scaling: Deploy, monitor, and scale machine learning models and large language model applications across various environments.
Monitoring and Maintenance: Implement monitoring solutions for performance and health of ML/LLM models, ensuring high availability and reliability.
Optimization: Continuously optimize ML pipelines for improved performance, scalability, and cost-efficiency. Security and Compliance: Ensure adherence to data privacy, security protocols, and compliance standards in ML/LLM operations.
Innovation: Keep abreast of the latest developments in DevOps, ML, and LLM technologies to drive continuous improvement and innovation.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Waze is where people and technology meet to solve transportation challenges. It's a platform that empowers users to contribute road data and edit Waze maps to improve the way we move about the world. As the social navigation pioneer, Waze leverages mobile technology and a passionate global community to redefine expectations of todays maps.

Waze is also a household name in Israel, and joining our team is an opportunity to be part of local history and be part of a passionate team and community working to change the way our cities move and make every drive smarter and safer.
Responsibilities
Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

We at Microsoft Defender for Cloud Apps (formerly MCAS) are developing the next generation of SaaS security tools for data that is outside your network, and firewalls and perimeters don't work. Our technology allows organizations to protect their data in SaaS apps from any location, device, or network.

Defender for Cloud Apps is the most used service for protecting SaaS apps used by enterprises worldwide. And it's all being developed here, in Israel.

Are you an excellent teammate, looking to work in a lively, dynamic environment, where you can contribute, learn, and influence? Are you passionate about developing state-of-the-art engineering systems? Join our team of engineers to develop cutting edge detection and remediation systems. Be a part of defining and shaping the next big leap in the product's journey and all that - in our Tel Aviv office!

Our team values diversity of all types in candidates for our roles and we strive to hire people with different experiences and perspectives into our team. To that end, we know that no candidate has every desired skill and experience, but all of us together makes our team strong.
Responsibilities
As an engineer on our team, you will be working on cutting edge technologies to deliver exciting new features that impact and protect millions of users, with cross-team and cross-discipline collaboration (engineering, PM, design, research and data science). You will work closely with experienced engineers and be part of an agile and fast-moving development team - and will have a role in mentoring your more junior peers and helping them succeed. You will be expected to apply a critical view of our infrastructure, technologies and development process, proactively pushing to improve the product and our group. Our group is consistent from both feature teams and platform teams and we are looking for candidate with passion in either or both.

Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users.

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 Google platforms, we make Google's 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
Collaborate with Design, Architecture, Process Technology, and Silicon Engineering teams to develop new product bring-up, verification, characterization, qualification strategies and manufacturing test solutions for new High Performance Computing (HPC) products in advanced manufacturing technologies.
Verify test solutions on pre-silicon models (simulation or emulation).
Develop and validate test programs on Automated Test Equipment (ATE) platforms in preparation for High Volume Manufacturing, working with ATE Vendor and internal cross-functional teams.
Support product sustain, including volume data analytics, test time and yield improvements, assess test escapees and Return Merchandise Authorization (RMA) returns, localize failures, implement containment measures in the manufacturing test flow, and partner with manufacturing, quality and reliability teams to implement root cause corrective actions.

required Database Architect
Responsible for designing and optimizing Wixs large-scale database infrastructure according to high availability, scalability, and performance principles
Identify new areas for cost-effective improvement in current databases
Explore new features, versions, and databases according to requirements
Work with developers and software architects in modeling, creating and maintaining data structures and Wixs data layer
Lead and execute technical DB-related POCs and benchmarks
Auditing database design regularly to maintain quality and SLA demands
Quickly identify and resolve critical and hard production issues
Provide on-call support when needed

Be a part of a fast moving product team with a great track record of landing significant impact. The position will involve collaborating closely with product teams to capture our users intentions and applying tech skills to build end to end ML solutions that will drive performance and help better personalizing our ads experiences on top of Meta's state of the art ad systems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the worlds leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.
Machine Learning Engineer - Core Ads Ecommerce Responsibilities
Partner with product teams and other engineers to solve Shops Ads business problems through ML
Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellence
Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate
Leading a team from a technical perspective to develop ML best practices and influence engineering culture
Be a go-to person to escalate the most complex online / production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around it
Suggest, collect and synthesize requirements and create effective feature roadmap
Code deliverables that will tie the ML solutions you develop to our ad delivery stack