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We are looking for a talented and motivated DevOps Engineer to join Cloud Engineering team. Youll play a key role in developing, maintaining, and scaling our SaaS product across AWS, Azure, and GCP. This includes managing our deployment packages (Terraform, CloudFormation, Azure Bicep), ensuring seamless integrations with customer environments, and enabling secure, reliable data scanning at scale.
As part of our DevOps team, youll not only drive automation and infrastructure management, but also participate in customer-facing installation meetingshelping customers deploy and configure platform successfully.
Responsibilities:
Design, develop, and maintain cloud infrastructure on AWS, Azure, and GCP.
Manage Infrastructure as Code using Terraform, CloudFormation, and Azure Bicep.
Build, scale, and maintain Kubernetes clusters and containerized applications.
Implement automation for deployment, monitoring, and incident response.
Write and maintain Python and Bash scripts for automation, integrations, and tooling.
Troubleshoot networking, connectivity, and security issues (TCP/IP, UDP, VPNs).
Collaborate with engineering and product teams to optimize deployments.
Support customer onboarding by assisting with setup and deployment meetings.
Continuously improve CI/CD pipelines and operational processes.

We are seeking an experienced Software Manager to lead the Cumulus Linux Software Verification Team. In this role, you will play a critical part in advancing Cumulus Linux, a leading networking operating system and a cornerstone of the AI Factory the next-generation data center designed to power the training, fine-tuning, and deployment of AI models at scale. You will work closely with Cumulus Linux design and architecture teams while gaining deep insights into our products and technologies.

What Youll Be Doing:

Manage, mentor, and guide a team of software developers.

Oversee the design, implementation, and maintenance of scalable automation frameworks, while remaining hands-on with software development and debugging.

Drive timely, high-quality feature delivery.

Collaborate with global, cross-functional teams to identify, track, and resolve issues.

Analyze customer-reported issues, identify test gaps, and ensure robust regression coverage.

Work with continuous integration systems and regression tools.

Foster a culture of innovation, quality, ownership, and accountability.

Support team members with career development plans and achievable growth goals.

As a Senior 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 aspectsensuring 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.

Req ID: 20718

We are looking for a proactive and skilled Software Infrastructure Developer to join our team, focusing on building robust and scalable infrastructure to support seamless automation and reliability across systems. This role is essential in ensuring efficient integration within our CI/CD pipelines, creating tools and frameworks for end-to-end automation, and working with engineering teams to continuously enhance system stability. The ideal candidate will bring strong technical expertise in automation, CI/CD (with hands-on knowledge of Jenkins), containerization, and cloud infrastructure, along with proficiency in Python and Node.js.

Key Responsibilities:

Software Infrastructure Design: Design, build, and maintain scalable infrastructure and frameworks to ensure consistency and reliability on various systems.
Tool and Library Development: Develop libraries and tools to simplify the creation and management of end-to-end automation, enabling efficiency and ease of use.
CI/CD Integration: Integrate and optimize CI/CD pipelines to streamline deployment and operational workflows.
Feature Ownership: Take ownership of new features and products from design to production, ensuring high-quality, reliable releases.
Cross-Team Collaboration: Collaborate with cross-functional engineering teams to gather insights and requirements, driving continuous improvement of automation tools and frameworks.
Documentation and Knowledge Sharing: Document best practices and usage guidelines for libraries and tools to promote effective adoption and knowledge sharing across teams.
Technology Evaluation: Continuously research, evaluate, and implement new technologies to maximize development efficiency and innovation.

As an Mobile Enablement Manager on the Professional Services group in our Tel-Aviv Office, youll work closely with our Engineering and Product teams, act as a knowledge hub and actively deliver exceptional new products to our global Professional Services group and customers.
How youll make an impact:
As a Mobile Enablement Manager, youll bring value by:
Play a pivotal role in the product lifecycle and its roadmap.
Work closely with our companys Engineering and Product teams on enabling new features for scale.
Take end-to-end ownership of new products and features.
From the support perspective, this includes training, creating/updating knowledge base articles, and other internal communication.
From the product perspective, it includes implementation, integration, documentation, scaling, and effectively communicating to all stakeholders.
Create and Maintain new product documentation and training for Professional Services and business teams, including creating/updating knowledge base articles.
Handle highly complex technical escalations coming from Professional Services and consult on complex implementations/issues coming from clients. This may require close dev to dev calls with clients Engineering teams.
Serve as a knowledge hub on features and our company products and ensure support issues are resolved meticulously.
Create and lead support improvement processes across the company.
Technically contribute to product maturity and scale by creating scripts, tools, and processes, as well as developing tools, processes, and automation for internal and external stakeholders.
Lead, manage, and execute cross-company technical projects and product improvements. Be willing to take on any challenge or role in the project, including hands-on contributions.
Track product performance, analyzing the quality of service (delivery/support) to our clients.

we are looking for a Senior QA Engineer to join our community!
As a Senior QA Engineer, you will play a central role in ensuring the quality of our software and serve as a key function within the QA team. You will guide, support, and implement a shift-left approach, actively collaborating with developers to integrate testing practices earlier in the development lifecycle, addressing quality considerations in feature lifecycle stages, and minimizing potential issues before they escalate. In addition, you will take a significant part in the organizations automation efforts, helping to define, implement, and maintain automated tests to ensure high-quality software while enabling faster and more reliable releases.
Responsibilities:
Plan, design, and run comprehensive test plans for both new and existing complex features, leveraging a deep understanding of product, business, and technical requirements.
Champion a shift-left testing philosophy, actively collaborating with developers to integrate testing earlier in the software development lifecycle.
Proactively identify and address potential quality issues at the early stage of development, minimizing risks and enhancing overall product quality.
Conduct root cause analysis for identified bugs, leveraging analytical skills to pinpoint the underlying issues and collaborating with the team to implement effective resolutions.
Collaborate with developers automation engineer to drive the organizations automation efforts. Define scenarios for automated tests, write and maintain automated test scripts, and ensure strong regression coverage.
Work independently to execute assigned tasks, taking ownership of the testing process and ensuring that deadlines are met.
Continuously seek opportunities to improve processes, tools, and practices, helping the team evolve and maintain high-quality standards.
Mentor and guide team members in QA best practices, test design, and automation approaches, fostering knowledge sharing and supporting continuous learning within the team.

Required Software Developer
As a Software Developer you will be responsible to:
Play a key role in designing and implementing infrastructure solutions to support our development and deployment processes.This role requires a versatile individual with strong technical skills, an out-of-the-box thinker, and a passion for solving challenging problems in cloud-based environments.
Key Responsibilities:
Develop, maintain, and optimize Python-based services and tools for cloud platforms (AWS preferred).
Design and implement scalable and secure infrastructure solutions, leveraging modern cloud technologies.
Build and maintain APIs, microservices, and server-side applications using Python frameworks
Collaborate with cross-functional teams to integrate CI/CD pipelines and improve deployment efficiency.
Troubleshoot and resolve technical bottlenecks in cloud-based systems.
Contribute to system architecture design and ensure best practices are followed.
Stay up-to-date with emerging technologies and trends to continuously improve development and deployment processes.

We are seeking a specialist to design and maintain AI-driven workflows and automations using Python, JavaScript, n8n, and no-code tools. The role includes collaborating across teams, building connectors and APIs, and serving as the technical lead for AI initiatives.

Responsibilities:

Design, build, and maintain AI-driven workflows and automations using Python / JavaScript, n8n, and no-code tools.
Collaborate closely with all departments, Marketing, Sales, Customer Success, R&D, Product, and HR teams to identify automation opportunities.
Create connectors and APIs for smooth data and workflow integration.
Work with R&D to align automations with product and engineering stack.
Troubleshoot, optimize, and document automated workflows.
Act as a technical lead for AI initiatives.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are seeking a highly motivated and skilled Release Engineer to join our AIOps group. In this role, you'll play a critical part in bridging the gap between development and operations, ensuring the seamless qualification, deployment, and monitoring of our AI algorithms and infrastructure, and be responsible for the end-to-end operationalization of our core technology.
A day in the life and how you’ll make an impact:
* Manage the end-to-end release process of machine learning algorithms and infrastructure components, from qualification through deployment.
* Validate and test new algorithm releases to ensure they meet performance, stability, and compliance standards.
* Create and execute deployment plans across various environments (staging, production), ensuring minimal risk and downtime.
* Collaborate closely with AI researchers, MLOps, and software engineers to understand release requirements, share feedback, and resolve pre-release issues.
* Identify and drive automation opportunities within the release pipeline to improve efficiency, reliability, and traceability.
* Oversee updates to infrastructure components, ensuring compatibility and performance across systems.
* Monitor deployments, proactively identify issues related to model behavior or infrastructure anomalies, and drive resolution with relevant teams.
* Maintain clear and accurate release documentation, including version history, deployment notes, and incident reports.

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 company ronauts 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.
The DevOps Engineer position is an operational engineering role and is an integrated part of our development team. You will be responsible for improving the efficiency of our processes, software, and infrastructure, and will be assisting RnD Team with product development. If you are DevOps Engineer that is passionate about automating and scaling everything, this job is for you.
Responsibilities
Monitor and optimize cloud infrastructure for performance, scalability, and cost-efficiency.
Manage and Maintain CI Infrastructure (GitLab CI and Jenkins).
Manage, Maintain and Improve our Release and Development Environments.
Support critical production infrastructure deployed in Multiple Clouds (AWS, Azure, and GCP).
Develop and Support RnD toolchain and implement best practices for code deployment, testing, and maintenance.
Automate On-Premises Labs Infrastructure by adopting IaC practices.
Lead and Develop Monitoring, Telemetry, Alerting, and Logging Production services.