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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 looking for a Performance Engineer 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 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 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.

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.

As a software engineer at our company, you will be an integral part of our Engineering team, reporting to the Head of Software Engineering. You will interact with AI Product Owners, Architects, and LLMOps to conceive technical solutions for our product, particularly by leveraging LLM capabilities What you'll do: Design, develop, deliver, and document secure and stable technical components for all our company features, in collaboration with the team. Most functionalities will involve the use of LLMs. Ensure consistency between all features in terms of code, architecture, and deployment. Ensure Quality Assurance through business and statistical testing. Integrate LLMs into product features, mastering large and complex Node.js applications. Master advanced Angular and SolidJS techniques. Increase your development best practices, including TDD, coding rules, retrospectives, and features team work. Conceive modular and scalable software architectures using a microservices-based approach.
Position Intro:
we are the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. our company has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

As a Machine Learning Engineer, youll work on cutting-edge
code-focused LLMs and AI agent systems
that power our companys next-generation developer platform. Youll be at the center of research, model training, and productionization of intelligent systems that understand software deeply, collaborate with developers, and help automate engineering workflows end-to-end. Your work will immediately impact millions of engineers worldwide.
Responsibilities:
Push LLM Innovation: Research, design, and fine-tune domain-specific LLMs for code generation, refactoring, debugging, and multi-turn reasoning.
Agent-Oriented Development: Build multi-agent coding systems that integrate retrieval-augmented generation (RAG), code execution, testing, and tool use to create autonomous, context-aware coding workflows.
Production-Grade AI: Own the training-to-inference pipeline for large code modelsoptimize inference with quantization, distillation, and caching techniques.
Rapid Experimentation: Prototype and validate ideas quickly; leverage reinforcement learning, human feedback, and synthetic data generation to push accuracy and reasoning.
Cross-Functional Collaboration: Partner with product, engineering, and design teams to ship AI-powered features that help developers focus on high-impact work.
Scale the Platform: Contribute to distributed training, scalable serving systems, and GPU/TPU-efficient architectures for ultra-low-latency developer tools.

Interested in being part of the go-to-market team selling real-world Generative AI that currently impacts over a million developers and will impact 10s of millions in the future?
we are building a pre-sales team that will handle the significant volume of inbound leads (prospecting/outbound muscle to be developer) by understanding customer requirements and mapping those to the company solutions. If you have a software development background and have a proven track record in solution engineering then we want to hear from you.
Responsibilities:
Own the technical evaluation components of the sales process for accounts across your assigned territory
Articulate the various company deployment options: on-prem, in VPC (GCP, AWS, Azure), single tenant or multi tenant SaaS
Define and execute techniques to scale 1:1 conversations to be 1:many (recorded webinars, white papers or other creative scaling techniques)
Meet or overachieve your revenue and pipeline goals as part of a sales team
Evangelize AI-powered programming via keynotes, social media, or other technical audience promotion techniques
Track and provide feedback to the product/eng teams on customer usage patterns or feature requests
Interface with the technical decision makers or influencers in key accounts,
Work proactively in an account to get high and wide
Define and execute Proof of Values
Drive net-new revenue for new logo accounts (mid-market to large enterprise) and expansion revenue (in our enterprise accounts).

we are looking for a Software Team Leader to help develop a complex in-house software platform.

Responsibilities
What you will be doing:

Lead a team of 45 software engineers working on current and next-generation platform of integrated metrology tools.
Manage the teams capacity, work plan, and content grooming to meet project goals in close collaboration with project management.
Oversee your teams professional growth in both technical skills and domain knowledge.
Serve as the focal point for communication with system, QA, and other software teams, ensuring smooth and effective collaboration.
Be an active member of the SW groups managerial team, contributing to the ongoing improvement of work processes and tools.
Join a team that values cross-disciplinary collaboration and strives to create meaningful impact through strong partnerships.

Required Experienced Software & MLOps Developer for Modeling Group
You will be part of our REM (Road Experience Management) department which is responsible for the automatic High Definition map-making process, which is a key technology in our autonomous driving and high-end Driving Assistance systems.
This process involves running advanced algorithmic code in a massively parallel way, utilizing Big Data technologies, and as such is a complex system that requires a deep understanding of our map creation process as well as advanced technical abilities.
You will be part of our algorithmic teams, being a key team member and owner of development processes.
What will your job look like?
Write clean, modular, and maintainable code in Python to implement algorithms efficiently.
Design and optimize data structures to support algorithmic solutions, ensuring scalability and performance.
Work closely with cross-functional teams.
Write efficient, reliable, and maintainable code to implement algorithms, ensuring high performance and scalability. Debug and troubleshoot software issues as needed.
Contribute to the design and architecture of software systems, ensuring that algorithmic components integrate seamlessly.
Analyze and optimize algorithms for speed, memory usage, and efficiency. Implement parallel processing and optimization techniques to enhance algorithm performance.