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We are looking for a passionate and skilled Backend Developer to join our dynamic team! If you're excited about working on large-scale cloud-based security systems and enjoy solving complex challenges, this is the perfect opportunity for you.
As part of our backend team, you will develop and enhance server-side components for cutting-edge security services. You will work with big data, AI-driven analysis, and a microservices architecture that serves millions of users worldwide.
What You'll Do:
Design and develop new features to meet customer needs
Optimize and scale existing services to ensure high performance
Collaborate with other teams (Mobile, Agents, etc.) for seamless integration

We are looking for a passionate and skilled Backend Developer to join our dynamic team! If you're excited about working on large-scale cloud-based security systems and enjoy solving complex challenges, this is the perfect opportunity for you.
As part of our backend team, you will develop and enhance server-side components for cutting-edge security services. You will work with big data, AI-driven analysis, and a microservices architecture that serves millions of users worldwide.
What You'll Do:
Design and develop new features to meet customer needs
Optimize and scale existing services to ensure high performance
Collaborate with other teams (Mobile, Agents, etc.) for seamless integration

We're building something special in our Israel-based Offensive Security organization, and we're hiring multiple people across three key areas:
Penetration Testing
Red Team Product
Security Research
While these roles share a common foundation in offensive security tradecraft, each brings its own unique focus and impact.
We're looking for deep expertise in at least one of these areas, with the ability to grow across others. We have multiple openings and are looking for talent at various levels. As we get to know you through the interview process, we'll work together to identify the best fit matching your expertise and interests with the specific role and level (Senior, Lead, or Principal) that makes the most sense for both you and the team.
Role Overview
We are seeking a highly skilled offensive security professional to join our elite team. This role is ideal for someone who thrives on breaking systems, finding creative attack paths, and using their findings to drive meaningful security improvements across Salesforce's products and infrastructure.
You will work alongside some of the best minds in security, operating with significant autonomy and impact. Whether you specialize in deep application level penetration testing, red teaming, security research or vulnerability discovery, we want to hear from you-you don't need to be an expert in all three domains. What unites these roles is a relentless attacker mindset, a drive to find and demonstrate real-world impact, and the ability to translate offensive findings into lasting security improvements.
Responsibilities
Conduct advanced penetration testing, red team operations, or security research targeting Salesforce's cloud infrastructure, applications, and services
Discover, exploit, and document security vulnerabilities using creative and methodical approaches
Develop custom tools, exploits, and attack techniques to simulate real-world adversaries
Collaborate with product teams to remediate vulnerabilities and improve secure design practices
Contribute to the maturity of our offensive security program through automation, tooling, and process improvements
Mentor and share knowledge with team members, fostering a culture of continuous learning
Present findings and security insights to technical and executive audiences
Stay ahead of emerging threats, attack techniques, and offensive security tradecraft

As a Solution Engineer, also known as a "Presales Consultant," "Sales Consultant", Pre -Sales Engineer or Sales Engineer, you'll be a key player in the sales cycle, delivering thought leadership and owning solutions to enhance our customers' experience. You'll collaborate with colleagues, support our sales team, and translate business objectives into compelling recommendations. With your technical and sales skills, you'll present our product offerings, address objections, and inspire confidence in our technology infrastructure.
The Lead Solution Engineer will act as a trusted advisor to our customers while aiding the customers transformational journey.

Responsibilities
Coordinate and lead the entire solution cycle through close collaboration with other teams.
Understand the customers needs, and establish Salesforces product as the best solution that solves unique challenges
Convey a deep understanding of the clients industry and technology as it pertains to Salesforces solutions
Develop and deliver innovative custom solutions, build and present customized demos of Salesforce products including solution concepts to key decision-makers to address their business issues and needs showing business value.
Participate in all appropriate product, sales, and procedural training and certifications to acquire and maintain the knowledge vital to be effective in the position
Attain quarterly and annual objectives assigned by management
Respond efficiently to RFPs
Lead the technical side of the sales cycle
Have a strong curiosity about growing your career and participating in our internal training programs and mentorship initiatives.

We are looking for a Data Operations Team Lead to lead and scale our data operations function. This role sits at the intersection of data, algorithms, and operations, and is critical to the success of our computer vision and AI models.
You will lead a distributed team responsible for data collection, annotation, quality control, and delivery, while working closely with Algorithm teams to understand model needs, prioritize requests, and ensure reliable, high-quality data pipelines.
This is a hands-on leadership role - you will manage people and processes, but also actively design, build, and improve data workflows.
About The Role
Lead and manage the Data Operations team, including annotation teams in Israel and a large remote team in India
Serve as the primary interface between Data Operations and Algorithm teams: understand model requirements, prioritize tasks, and plan data delivery
Own end-to-end data workflows, from model improvement needs through data definition, annotation guidelines, execution, and delivery
Ensure high data quality through close monitoring, validation, troubleshooting, and root-cause analysis
Design and maintain clear annotation guidelines, documentation, and training materials
Closely manage remote annotation teams, including weekly syncs, hands-on oversight, and deadline management
Own and operate the annotation pipeline using industry tools (e.g., CVAT)
Monitor progress, track performance, and continuously improve efficiency and quality
Own annotation budgets, monthly reporting, and validation of hours and outputs
Evaluate, benchmark, and implement new tools and processes in the data and annotation domain
Work hands-on with scripts, AI tools, and monitoring systems as needed to support data quality and operations.

We seek an experienced Full Stack Engineer with expertise in Flutter, capable of driving projects from concept to completion end to end, including backend development. The ideal candidate is a self-starter, able to work independently but also lead team initiatives. Experience in Python, Go or Angular can also be a significant plus.

Responsibilities:
Develop and implement complex and user-friendly interfaces using Flutter.
Be the Mobile authority - develop our standards, best practices and architectural guidelines.
Deliver end-to-end solutions, including backend services and APIs, using Python or Go.
Collaborate closely with the product and platform teams to deliver comprehensive solutions.
Lead new projects and initiatives within the team, ensuring deadlines are met.

our company has evolved ai infrastructure by merging gpu virtualization with kubernetes-native capabilities. our world class ai platform allows organizations to improve productivity and efficiency for data scientists and Machine Learning engineers. with deep kubernetes expertise and a focus on innovation, we are dedicated to developing cutting-edge technologies, delivering the best User Experience for our customers, and providing deep visibility into workload performance through rich metrics that help users optimize their ai workloads. we are looking for highly skilled software engineers to join our platform group and help shape the future of ai infrastructure.
the role of a senior software engineer in the platform group is to design and develop scalable, high-performance systems that support the next generation of ai workloads. you will collaborate with experts across domains, tackle complex challenges, and drive innovations that empower our users to push the limits of ai capabilities.
what youll be doing:
designing and developing enterprise-grade systems with a strong focus on scalability, reliability, and performance.
building and optimizing microservices-based architectures using kubernetes and cloud-native technologies.
collaborating closely with backend engineers, product managers, and other collaborators to deliver impactful solutions.
writing clean, maintainable, and testable code in go
conducting code and design reviews to uphold high-quality standards and mentor team members.

We are looking for a QA Data Automation Engineer to join our Data Team in a dynamic and challenging role, providing critical test coverage for Orcas data pipelines, reporting layers, and analytics solutions.

In this role, you will be responsible for validating data integrity end-to-end - from raw ingestion and transformation layers to dashboards and downstream consumers. You will design and maintain automated tests to ensure accurate, reliable, and scalable data systems.

Key Responsibilities

Develop and maintain automated QA tests for data pipelines, transformations, and data products.
Perform and execute manual QA testing such as functional, regression, and sanity testing of applications, dashboards, and backend systems.
Validate data flow across the system, including: ingestion, transformations, reports/dashboards.
Perform data quality testing (completeness, consistency, accuracy, timeliness, schema validation).
Write and execute SQL-based tests to validate logic, joins, aggregations, metrics, and anomalies.
Build automation frameworks and validation scripts using Python.
Work closely with Data Engineers and Analytics/BI stakeholders to define test coverage and acceptance criteria.
Investigate failures and data issues, providing clear RCA and actionable bug reports.
Document test plans, test scenarios, expected results, and automation coverage.
Track issues in Jira, including reproducible steps and supporting evidence.
Continuously improve QA processes for better monitoring, reliability, and faster releases.

Welcome to Chargeflow Chargeflow is building the operating system for chargeback management. We help merchants automatically fight and recover disputed payments, reducing revenue loss and operational overhead. Our platform processes large volumes of payment and dispute data across merchants, payment processors, and financial systems. As Chargeflow scales its platform and customer base, data becomes one of the company’s most strategic assets - powering better products, smarter decisions, and operational efficiency.
Who We're Looking For - The Dream Maker We are looking for a Head of Data Analytics to build and lead the company’s data platform and data strategy. The Head of Data will own Chargeflow’s entire data platform, research, and data strategy This includes building the data infrastructure that powers the company, establishing reliable company-wide metrics, enabling data-driven decision making, and turning Chargeflow’s dispute and payments data into a long-term product advantage. This is a foundational leadership role responsible for making data a core capability across the organization. The Head of Data Analytics will work closely with Product, Engineering, Operations, and Leadership to ensure data becomes a central part of how the company builds products and runs the business. ?Your Arena ?Data Platform and Architecture - Design and lead the development of Chargeflow’s modern data infrastructure:
* Building scalable data pipelines across product, payments, disputes, and internal systems
* Developing a centralized data warehouse as the company’s single source of truth
* Ensuring data quality, reliability, and observability
* Establishing data governance and best practices Company Metrics and Decision Intelligence - Define and standardize the core metrics used across the company:
* Establishing a consistent metrics framework across product, revenue, and operations
* Building dashboards used by leadership and operational teams
* Ensuring reliable and accessible reporting across the organization
* Supporting data-driven decision making at the leadership level Product Data and Insights - Partner with Product and Engineering to leverage Chargeflow’s unique dispute and payment data:
* Identifying patterns and insights across disputes and recovery performance
* Enabling data-driven product development
* Supporting predictive capabilities and automation in dispute management
* Helping build product features powered by data insights Operational Intelligence - Provide visibility and insights into dispute operations and business performance:
* Building operational analytics dashboards
* Supporting forecasting and capacity planning
* Identifying automation opportunities
* Improving operational performance through data insights Building the Data Organization - Build and lead the company’s data team:
* Hiring and managing data engineers, analytics engineers, and analysts
* Establishing strong data culture and best practices
* Enabling teams across the company to use data effectively
* Ensuring data privacy, security, and governance standards What Success Looks Like - Within the first 12–18 months:
* Chargeflow operates from a trusted company-wide data platform
* Leadership and teams rely on consistent and reliable metrics
* Product teams leverage dispute data to build data-powered features
* Operational performance becomes clearly measurable and optimized
* A strong Data organization is established and growing

we have evolved ai infrastructure by merging gpu virtualization with kubernetes-native capabilities. our world class ai platform allows organizations to improve productivity and efficiency for data scientists and Machine Learning engineers. with deep kubernetes expertise and a focus on innovation, we are dedicated to developing groundbreaking technologies. we deliver the best User Experience for our customers and provide detailed access to workload performance through rich metrics. these metrics help users optimize their ai workloads. we are looking for highly skilled DevOps engineers to join our infrastructure group and help shape the future of ai infrastructure.
what you'll be doing: take full end-to-end ownership of our cloud infrastructure, spanning development environments to production systems across various cloud platforms.
compose, build, and develop the architecture of run:ai cloud-native products for a variety of complex customer environments, including on-premise, and cloud
identify and fix production issues while addressing performance challenges to ensure our systems operate flawlessly.
collaborate closely with cross-functional groups to provide architectural and infrastructure input that builds product direction and composition.
partner with r&d, customer success, Professional Services, and pre-sales teams.
continuously evaluate and implement new tools and technologies to improve our release and product deployment processes.

We are looking for an experienced DevOps Team leader to join our growing R&D department of the DatAdvantage Cloud. We are looking for someone who treats our internal infrastructure, CI/CD pipelines, and Kubernetes clusters as actual products. This means caring about the developer experience and ensuring that the tools we build are intuitive, reliable, and that they solve real problems for our R&D teams.
In this managerial role, you will lead a team of experienced DevOps engineers responsible for various aspects of our cloud platform.
Responsibilities:
Lead and mentor a growing team of highly skilled cloud DevOps engineers
Full responsibility on a scrum team, including hiring and mentoring of new team members.
Collaborate with various engineering teams on designing and implementing new features for our cloud platform.
Oversee the implementation of applications, integrations, and interfaces across our web ecosystem.
Fully automate critical system processes to improve service performance, monitoring, scalability, and overall stability of our cloud platform.
Refine our continuous integration/continuous delivery (CI/CD) process to streamline deployment and product release cycles.
Roll out a standardized approach to cloud security.
Act as a Cloud Solution Architect for our R&D department, and as an expert consultant on cloud-native architectures that consider product architecture, business needs, security, and FinOps.

We are seeking a highly skilled Senior Backend Engineer to join our expanding DatAdvantage Cloud team.
Suppose you have strong programming expertise, experience building large-scale cloud systems, a passion for developing applications using AI-driven tools, and enthusiasm to transform platform into a scalable, resilient powerhouse serving multiple applications and customers worldwide. In that case, wed love to meet you.
Responsibilities
Lead and participate in the full application lifecycle - from product requirements through architecture, coding, and monitoring.
Develop clean, maintainable code for large-scale, functional applications.
Troubleshoot and debug complex applications.
Leverage cutting-edge technologies, including AI tools, to modernize and enhance applications.
Constantly thrive to improve existing platform and applications
Design and build scalable, resistant and fault-tolerant cloud services.

our company is a global leader in control systems for computing, a field on the verge of exponential growth. our innovative hardware and software mark a groundbreaking approach in our computer control, scaling from individual qubits to expansive arrays of thousands.
at the core of qm lies a passionate and ambitious team committed to reshaping the construction and operation of our computers. our work is fueled by a deep understanding of customer needs, driving us to deliver unparalleled solutions in this revolutionary field.
we are looking for a Verification engineer who embodies ambition and positivity, who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfil the evolving needs of our expanding customer base.
the Verification engineer we look for will be a highly talented and motivated person, who is a real team player and can collaborate closely with engineers from other disciplines and our physicists.
responsibilities:
practicing the full range of verification aspects
creating a verification environment from scratch (drivers, monitors, coverage...)
vip (ddr/pcie/axi) integration
defining verification sequences via a complex control-flow constraint set
system understanding of a Full-Stack product with strong hw-sw coupling
reference model integration
TEST plan definition
defining verification flows and creating the proper infrastructure to support it