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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.

Company overview: Cellebrite’s (Nasdaq: CLBT) mission is to enable its customers to protect and save lives, accelerate justice, and preserve privacy in communities around the world. Cellebrite is a global leader in Digital Intelligence solutions for the public and private sectors, empowering organizations to master the complexities of legally sanctioned digital investigations by streamlining intelligence processes. Trusted by thousands of leading agencies and companies globally, Cellebrite’s Digital Intelligence platform and solutions transform how customers collect, review, analyze, and manage investigative digital data in legally sanctioned investigations.



Position Overview: We are seeking a highly skilled Senior Backend Data Engineer to join our dynamic team. This role offers the chance to make a significant impact by enhancing the performance, scalability, and stability of our data pipelines. you will be instrumental in pioneering new features and driving the continuous improvement of our production code.




Key Responsibilities: Joining Cellebrite means collaborating with dedicated professionals on mission-critical technology. We offer a hybrid work environment, with a balance between on-site collaboration in Petah Tikva and the flexibility of remote work. Our culture thrives on innovation, and we value the contribution of every team member. Cellebrite is where you can bring your expertise to solve complex challenges and contribute to a safer world. Design and implement ETL functions to optimize forensic data processing. Backend development working to implement new API’s and features that will enrich the main data pipeline in Cellebrite Platform product. Execute PoCs for new data platform features and integrate successful ones. Enhance the performance and stability of production-level code. Utilize AWS services , including Step Functions, AWS lambda, SQS, SNS, Event Bridge, AWS Athena, ECS Fargate, AWS Glue, and EMR, to manage data workflows. Perform basic DevOps tasks including Kubernetes deployments, server less/ terraform and operate with APM tools to monitor and improve system performance.


Qualifications:
* A total of 7 years of experience in software development.
* At least 3 years of proven hands-on data engineering experience on AWS, specifically in ETL related technologies like Spark, Glue, Athena, Step Functions, Parquet.
* At least 2 years as a back end Developer (any of the following languages: Node, C#, Java, Go etc.)
* Proven experience in data cleansing, manipulation and aggregation using python and/or Scala.
* AWS Data Engineering certification is a plus.
* A team player mindset, strong communication skills, and the ability to work independently.

Office Location:
Petah Tikva

As the Vice President of Data , you will hold a critical leadership position responsible for driving strategic decisions through advanced quantitative analysis and data Science. Your expertise will be instrumental in cross-departmental collaboration with product marketing, customer service, and operations teams to ensure alignment and synergy across all areas of the business.

Responsibilities:

Lead and mentor multiple teams of Analysts, Data Scientists and Data Engineers.
Initiate & manage cutting-edge projects from ideation to delivery, including developing automated solutions.
Evaluate and improve the companys KPIs through data.
Collaborate closely with Stakeholders from Product, Marketing, Operations, Customer support and Finance and initiate data driven decisions and solutions.
Lead the analysis of complex datasets to extract valuable insights, trends, patterns, and anomalies that drive strategic decisions.
Lead the building and upgrade of existing data infrastructure to cope with performance, scalability, and growth.

We are looking for talented and passionate Intern software engineers to join us and help us craft the future of GPU technology. We have several intern openings within GPU Software. As an Intern GPU software engineer, you will have the unique opportunity to develop the next generation of GPU drivers and innovative tools (written in C ++ and Python ).
Our GPUs fuel billions of devices worldwide, serving a wide range of applications and enabling gaming and video streaming on mobile devices. We are seeking a fresh Intern to join our vibrant team which is responsible for developing instrumentation solutions for optimizing game graphics and platforms. Teamwork is a crucial part of strengthening our customer engagement and requires constant learning and the use of top-notch industry technologies.
You will be joining an expert, multinational development team, you will work on groundbreaking technologies, directly contributing next-generation GPUs ecosystem.

We are looking for a Data Science Researcher - Finance and Marketing.
What you will be doing:
As a data scientist in the Business Data Science team, you will be leading finance and marketing projects with focus on time series handling.
Lead machine learning based projects from business requirements, through research, evaluation, production implementation and monitoring.
Work on diverse problems and domains, and work with several stakeholders on a daily basis including finance and marketing managers, developers, BI analysts and more.
Build ML and statistical models based on historical revenue streams and usage data to predict different KPIs. For example, LTV, campaigns ROI, users attribution and more.

Do you want to be a Data Scientist on an elite Data Science team? Do you want to build Data Analytics for a global Security Product? Do you want your work to be impactful on millions of users?

Join us and become part of a winning Data Science team that builds the brain of one of our most exciting security products, our Defender for Endpoint (MDE). As cyber-attacks have become more sophisticated, MDE helps enterprises detect, investigate, and automatically disrupt advanced attacks and data breaches on their networks. Our team is responsible for developing and deploying Machine Learning (ML) models that protect organizations worldwide and owning Data Analytics systems that facilitate data-driven decisions and operational excellence.

If you are a talented Data Scientist with excellent analytical, statistical, and data-visualization skills, who is passionate about applying Data Science to drive a revolutionary cyber-security product, we would like to talk to you!

Responsibilities:
Collaborate with Security experts and other stakeholders to define Business metrics.
Work with data engineers to implement these metrics over Big Data sources.
Create and maintain dashboards and visualizations.
Conduct data analysis and present insights to the leadership team and stakeholders.
Develop Anomaly Detection and monitoring solutions to ensure operation excellence of AI and other systems in MDE.

Do you want to be a Senior Data Engineer on an elite Data Science team? Do you want to build data solutions that power AI and Data Analytics of a global Security Product? Do you want your work to be impactful on millions of users?

Join us and become part of a winning Data Science team that builds the brain of one of our most exciting security products, our Defender for Endpoint (MDE). As cyber-attacks have become more sophisticated, MDE helps enterprises detect, investigate, and automatically disrupt advanced attacks and data breaches on their networks. Our team is responsible for developing and deploying Machine Learning (ML) models that protect organizations worldwide and owning Data Analytics systems that facilitate data-driven decisions and operational excellence.

Responsibilities:
Create and maintain robust Big Data pipelines for Analytics and ML systems.
Optimize performance of Big Data scripts and queries.
Create monitoring and reporting infrastructure.
Develop systems that facilitate Data Science activities such as Analytics and Feature Extraction.

We are looking for a highly-technical leader with experience managing a distributed team and a solid understanding of several key technologies.


This is a Hybrid position open to candidates in the Israel area.

What You'll Do

Lead the IDP cloud SDET team and work with all the stakeholder teams to guarantee cloud software and deployment quality

Lead cloud test direction, test strategy, test design/development/execution and reporting

Hands-on design and development of test framework/tools and scripts to achieve test efficiency and productivity to ensure functionality, reliability, performance, scalability of cloud.

Work with other quality leaders to understand product quality and automation gaps and opportunities, customer engagement as it relates to quality, and continuously reviewing the impact of SDET work.

Support our cloud test platform as it relates to other test and pipeline activities

Hire, coach, and support engineers as needed.

The primary purpose of the position is to work closely with customers, and sales team to manage the technical engagement that supports sales campaigns and drive the adoption of software tools.

Responsibilities -

To develop close relationships with customers to be able to assess their technical requirements and the options/ability for Calibre solutions to develop and implement technical sales plans. This may be through proactive telephone contact, delivery of presentations and demonstrations, articulating product value statements, and engagement in technical benchmarks and evaluations.
To drive products into customer projects to ensure adoption by creating methodology and flows; this may include infrastructure and integration into a customers environment and the identification of pilot projects for tool use and the debugging and bring-up of new methodologies and flows.
To uncover or qualify new opportunities, the technical viability of a lead and communicate the opportunity clearly to the sales team. Use this information to establish success criteria for technical engagements that effectively position of strength.
To provide technical leadership on all aspects of a sales campaign with the aim of contributing to account/area technical business plans.
To share, in a proactive manner, account, evaluation, competitor, technology and other useful information with peers, sales teams, management and product divisions to help us to compete more effectively.
To actively participate in out-bound marketing such as trade shows, workshops, seminars, webcasts.

Lead the design, implementation, and ongoing management of our company's data pipeline architecture.
Lead team architectural discussions
Manage a team of 2-3 data engineers
Work as an integral part of the data team and work closely with data Scientists, data Analysts and data Engineers.
Work directly with others (Developers, Product, and Internal stakeholders) to develop a solid understanding of the business application and requirements for which the application is being designed.

We seek a customer-focused Technical Support Engineer to join our dynamic support team.
As a Technical Support Engineer, you will provide exceptional technical assistance and troubleshooting to our clients, ensuring their seamless experience with our platform. Your expertise and dedication will be crucial in driving customer satisfaction and loyalty.
In this role you will:
Develop a deep understanding of our data integration platform, staying up-to-date with new features and enhancements
Deliver timely and effective technical support via various channels, including ticketing system and online meetings, addressing inquiries, issues, and concerns promptly and professionally.
Investigate and resolve technical problems reported by clients, escalating complex issues to the appropriate teams for resolution.
Collaborate closely with cross-functional teams, including product development and engineering, to ensure prompt issue resolution and continuous product improvement.
Assist in conducting product training sessions for clients, empowering them to utilize our platform efficiently.
Accurately document support cases, tracking their progress from initiation to resolution and keeping clients informed throughout the process.
Contribute to the development and maintenance of our knowledge base, creating helpful articles and resources for self-service support.

We are looking for a Fullstack Team Lead to manage our Core R&D team.
In this role you will:
Lead a team of 4-6 engineers who are responsible for the full software development life cycle, from conception to deployment. You will take responsibility for the development of sensitive parts.
Provide expert-level technical leadership and mentoring to the team, host weeklies, dailies, reviews, etc., as part of your management routines.
Understand the organization's data needs and provide solutions to other data stakeholders, such as data analysts, engineers, and product managers.
Produce state-of-the-art data engineering development methodologies, including code reviews, monitoring, tests (unit, component), infra as code, ci/cd, and more.
Continuously maintain a healthy and up-to-date data tech stack, guaranteeing scalability and robustness.
Collaborate with Analysts and Business Stakeholders on data requirements and functional specifications.
Design client-side and server-side architecture.
Write effective APIs.

We are seeking a Senior DevOps Engineer to join our team.
As a DevOps Engineer and lead the effort in designing, building, deploying and maintaining our companys infrastructure, deployment pipelines, and continuous integration/delivery workflows.
You will work closely with development teams to ensure efficient and reliable software delivery, as well as identify and implement improvements to our systems and processes.
Responsibilities:
Design, implement, and maintain highly available and scalable infrastructure on cloud platforms such as AWS, Azure, or GCP.
Build and maintain deployment pipelines
Design and implement data pipelines to support various data processing needs across the organization.
Work closely with development teams to ensure code is deployed efficiently and reliably while maintaining high standards of security and performance.
Identify and implement improvements to our systems and processes, including automation and monitoring solutions.
Troubleshoot and resolve issues related to infrastructure and deployments.
Collaborate with cross-functional teams to ensure seamless integration of new features and technologies.

We are seeking for a Senior Endpoint Engineer Tech Lead to join our team and lead the effort in Endpoint Sensor development.
As Technical Leader you will be heading the activity of designing, implementing, and maintaining our endpoint sensor (Agent) software offering across all supported operating systems, as well as their accompanying APIs, supporting ever growing scale and collecting data in highly challenging deployments.
You will work closely with other sensor and analysis teams to ensure efficient and reliable data flow, overcoming complexity and implementing highly requested customer features.
Responsibilities:
Lead other senior developers developing endpoint sensors, ensuring high coding standards (testing, maintainability), process adherence (sprint planning, documentation) and overall low footprint and high performance.
Design, implement, and maintain endpoint sensors on Windows, MacOS and several Linux distros, as well as their corresponding installation process and shared APIs.
Identify and implement improvements to our systems and processes, from business logic, through the addition of data sources to monitoring.
Troubleshoot and resolve issues related to sensor-endpoint deployment in various operating systems.
Work closely with other development teams to define APIs and Schema to ensure data reliability, availability, and correctness across the system.