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We are looking for a CRM Dynamics Developer to join our CRM Division. You will design, develop, and implement CRM Dynamics 365 solutions, including custom modules, workflows, business rules, reports, and dashboards. The role also includes integrations with other systems, troubleshooting, upgrades, and supporting end users. You will collaborate with IT, development teams, and business stakeholders across Sales, Marketing, and Customer Service.

We are seeking a proactive and detail-oriented Customer Success Automation Engineer to join our growing team. The ideal candidate will have a strong technical background combined with a passion for enhancing customer experience through automation. This role will focus on developing and implementing automated solutions to streamline customer success processes, improve efficiency, and drive customer satisfaction.
Key Responsibilities
Develop and Implement Automation Solutions: Design, develop, and deploy automated workflows to optimize customer success operations.
Process Improvement: Identify opportunities for automation within customer success processes and implement solutions to improve efficiency and customer satisfaction.
Technical Support: Provide technical expertise and support to the customer success team in utilizing automation tools and systems.
Data Analysis: Analyze customer data to identify trends, patterns, and areas for improvement. Use data insights to drive automation strategies.
Collaboration: Work closely with cross-functional teams, including Customer Success, Product, and Engineering, to understand customer needs and develop appropriate automated solutions.
Documentation: Create and maintain documentation for all automation processes and workflows.
Training and Support: Train and support customer success team members on new automation tools and processes.

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.

We are looking for a Senior Go Engineer with strong problem-solving, design, coding and debugging skills, drive for execution and results, while delivering quality software for large-scale projects.
We value passion, creativity, and desire to learn new complex technical areas, agility and accountability.
In this role, you will work on a new and innovative product.

we are looking for a Senior Infrastructure Developer to join our growing team!
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.

We are looking for a Senior Full stack Engineer.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Who are you?
You are a passionate full stack software engineer with a strong orientation for both frontend and server development, who knows how to deliver high-quality software which is high-performing, scalable, readable, testable and maintainable with minimal bugs.
You value engineering excellence and write testable, clear and reusable code.
You think freely and independently and happy to share your view.
You are self-motivated and self-managed, able to take ownership of your work and work in a scrum team.
What youll do?
Drive Innovation: Design, develop, and maintain our web application using Angular, C#, and SQL/ NoSQL.
Collaborate Cross-Functionally: Work with product managers and UX/UI teams to refine and enhance secure product requirements.
Mentor and Grow: Guide and support junior developers, fostering a culture of continuous learning and security awareness.
Stay Ahead: Keep up with the latest tech trends to drive product evolution and maintain security vigilance.
Build with Security at the Core: Ensure every line of code contributes to a secure, resilient platform.
Champion Quality: Implement automated tests to deliver a high-quality, robust product.

Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructuresomeone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacksits about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakesdesigned for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.
Operate and debug object storebacked data lake infrastructure, enabling schema-on-read access, high-throughput ingestion, advanced searching strategies, and performance tuning for large-scale workloads.

we are looking for a Software Engineer -A new college Grad to join our growing team!
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.

Our teams mission is to build world-class messaging and networking infrastructure, empowering a state-of-the-art microservices architecture in both cloud and hybrid environments.
By joining our team, you'll be taking ownership of driving the development of advanced communication channel services across diverse platforms. You'll be at the heart of innovationenabling containerization, embracing the agility of cloud technologies, and thriving in a fast-paced development cycle. Collaborating with various groups, your work will exert significant influence and leave a lasting impact.
Key Responsibilities:
- Develop robust, high-performance services, libraries, and SDKs.
- Enable seamless communication between microservices.
- Design, implement, and maintain scalable solutions using C#, Docker, Cloud, and microservices.
- Collaborate on cross-functional interfaces and maintain strong relationships across teams.
- Participate in rapid deployment cycles, ensuring efficiency and quality.

We are looking for a strategic and hands-on Software Developer Engineer in Test (SDET), for our Quality Engineering Department to lead the development of cutting-edge automation solutions. This role is pivotal- join us in leading the transformation of our automation strategy and redefine how we build, test and deliver secure software at scale.
Key Responsibilities :
Design and implement comprehensive system-level and end-to-end automated test suites that ensure broad and deep coverage across our product ecosystem.
Create automated test frameworks, design and implement test cases, and write code to improve software testability
Drive the adoption and implementation of automation-first and shift-left practices, embedding quality into every stage of the development lifecycle.
Collaborate closely with R&D, DevOps, Project Managers and Product teams to integrate testing into CI/CD pipelines and production environments.

We are searching for a seasoned Team Leader to lead a multidisciplinary team of engineers in our growing R&D department of the DatAdvantage Cloud group. You will lead the team and manage the execution of the product backlog. Ultimately, you should be able to hold all aspects of feature development within the team in order to maintain functional and stable product features for our SAAS application in accordance with the companys needs.
Responsibilities
Lead a team of 4-6 engineers, both backend and frontend, in an Agile environment
Participate in the entire application lifecycle, from design to production
Work closely with the teams product manager
Collaborate with other teams in curtain features or capabilities
Conduct design and code reviews, Mentor and be a focal point for the team
Be aligned with the team technical Needs and capabilities
Gather and address technical and design requirements.

We are looking for a ML Engineer.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Responsibilities:
Design, build, and deploy ML models for user behavior analytics, anomaly detection, and data classification across enterprise environments.
Collaborate with data scientists, software and data engineers to integrate ML models into production pipelines, cloud-native environments, on-premises, and Databricks workflows.
Develop, fine-tune, and evaluate LLMs and prompt engineering solutions for data classification, labeling, and threat analysis features.
Optimize models using techniques like distillation, quantization, and efficient data structures to boost performance and lower resource cost.
Build high-performance data inputs using embeddings, vector databases, and distributed training frameworks.
Manage model lifecycle and performance via MLOps best practices: monitoring, retraining, and deploying updates.
Partner with data scientists, cybersecurity researchers and product teams to evaluate and refine ML-driven capabilities.
Conduct experiments and benchmark results in fast-paced, data-intensive environments.

We are seeking a skilled ML Engineer to design, build, and deploy advanced ML solutions that drive analytics, anomaly detection, and data classification across enterprise-scale environments.
This role will focus on developing and optimizing models, including LLMs and prompt engineering pipelines, and ensuring seamless integration into production workflows spanning cloud-native, on-premises, and Databricks ecosystems.
Key Responsibilities :
Design, build, and deploy ML models for user behavior analytics, anomaly detection, and data classification across enterprise environments.
Collaborate with data scientists, software and data engineers to integrate ML models into production pipelines, cloud-native environments, on-premises, and Databricks workflows.
Develop, fine-tune, and evaluate LLMs and prompt engineering solutions for data classification, labeling, and threat analysis features.
Optimize models using techniques like distillation, quantization, and efficient data structures to boost performance and lower resource cost.
Build high-performance data inputs using embeddings, vector databases, and distributed training frameworks.
Manage model lifecycle and performance via MLOps best practices: monitoring, retraining, and deploying updates.
Partner with data scientists, cybersecurity researchers and product teams to evaluate and refine ML-driven capabilities.
Conduct experiments and benchmark results in fast-paced, data-intensive environments.

We are looking for a Java Software Engineer- Privacy.
Responsibilities:
Design, develop, and maintain Java-based & .Net based microservices
Ensure backend components are high-performing, stable, and scalable across cloud environments
Collaborate with product managers and cross-functional engineering teams to deliver integrated solutions
Write and maintain clean, well-tested, and secure code following industry best practices

Being a worker is all about being you. We want you to bring all parts of yourself to work, giving you the freedom and confidence to be the best you and do your best work. If thats bubbly, shy, precise, funny, bold, kind, honest, brilliant, or anything in between, were waiting with open arms. Come join us.
What will you do:
we are a vibrant, dynamic, happy place to work. A start-up with an amazing culture, and bright and resourceful people in London, Amsterdam, New York, Sydney, and Tel Aviv. Were growing fast and looking for talented and passionate Frontend Engineers to join us!
As a Frontend Engineer on the team, youll have a key role in developing our product using Angular and its unique features, working closely with our Product team while building a delightful experience for our users. You should be passionate about software engineering and building a product end-to-end and will be responsible for owning the dev cycle from the technical design, through coding and testing, to deployment and monitoring. We work in a true continuous delivery environment with fully automated QA processes on a microservices architecture, deploying to production dozens of times every day.