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We are seeking a talented senior Backend Engineer to join our team to help design, develop, and maintain the backend infrastructure of our emerging and growing client-side security product. As a Backend Developer, you will be responsible for creating micro-services that protect against client-side attacks, always evolve the system according to the latest security trends and compliance, and ensuring the system is highly scalable.

What you'll do

How Youll Make an Impact -

Architect for Scale: Lead the design and implementation of distributed systems engineered to process hundreds of thousands of requests per second while maintaining strict latency targets within tens of milliseconds.

Own the Lifecycle: Take full accountability for the entire software development lifecycle-from initial architectural design and coding to rollout, observability, and long-term system health.

Collaborate across Functions: Partner closely with product and engineering teams to transform ambitious product goals into high-performance technical reality.

Our Pragmatic Tech Stack -
We use a suite of tools specifically chosen to handle our unique scale and performance requirements:

Core Backend: Go

Messaging: Kafka, Redis Pub/Sub, GCP Pub/Sub.

Data: MongoDB, Postgres, Redis, BigQuery.

Infrastructure & Orchestration: Kubernetes, ArgoCD, Pulumi, Crossplane.

CI/CD: GitHub Actions, Jenkins.

Cloud Platforms: Multi-cloud environment (GCP, AWS, Azure).

As a Senior Full Stack Engineer in our Payments Team, you'll design, develop, and maintain mission-critical payment processing solutions. You'll work closely with cross-functional teams to deliver reliable, scalable payment systems that power our core business.





Responsibilities
Own the full development lifecycle from architecture to deployment, with emphasis on backend systems
Design and implement high-performance RESTful APIs for internal and external integrations
Optimize backend infrastructure for low latency, high availability, and reliability
Provide technical mentorship to developers and contribute to code reviews
Work with product managers and stakeholders to deliver features in an Agile environment
Identify and resolve performance bottlenecks and bugs in production systems
Drive technical strategy and architectural decisions

We are seeking a Data Engineer to join our dynamic data team. In this role, you will design, build, and maintain robust data systems and infrastructure that support data collection, processing, and analysis. Your expertise will be crucial in developing scalable data pipelines, ensuring data quality, and collaborating with cross-functional teams to deliver actionable insights.

Key Responsibilities:

Design, develop, and maintain scalable ETL processes for data transformation and integration.
Build and manage data pipelines to support analytics and operational needs.
Ensure data accuracy, integrity, and consistency across various sources and systems.
Collaborate with data scientists and analysts to support AI model deployment and data-driven decision-making.
Optimize data storage solutions, including data lakehouses and databases, to enhance performance and scalability..
Monitor and troubleshoot data workflows to maintain system reliability.
Stay updated with emerging technologies and best practices in data engineering.

We are looking for a motivated and experienced Machine Learning Platform Engineer to join our dynamic team.

In this role, you will collaborate closely with data scientists and DevOps professionals to design and build the infrastructure, ecosystem libraries, and pipelines that power our data science initiatives. You will take ownership of model development, monitoring, and maintenance, working hand-in-hand with data scientists on a daily basis.

If youre passionate about AI, machine learning, and writing high-quality code-and are eager to contribute to innovative, impactful do good projects in the digital health space-wed love to hear from you!

What you'll be doing:
Design, develop, and maintain our machine learning ecosystem libraries.
Build and manage data science code, Docker images, and Kubeflow Pipelines (KFP).
Create and maintain CI scripts to ensure seamless integration and delivery.
Conduct thorough code reviews to uphold high-quality standards.
Collaborate closely with data scientists, understanding and addressing their evolving needs.
Work alongside software developers to seamlessly integrate machine learning models into production systems.
Stay current with the latest advancements in machine learning, leveraging innovative techniques to enhance the companys products and services.

Our data engineering team is looking for an experienced professional with expertise in SQL, Python, and strong data modeling skills. In this role, you will be at the heart of our data ecosystem, designing and maintaining cross-engineering initiatives and projects, as well as developing high-quality data pipelines and models that drive decision-making across the organization.

You will play a key role in ensuring data quality, building scalable systems, and supporting cross-functional teams with clean, accurate, and actionable data.



What you will do:

Design, develop, and optimize data services and solutions required to support various company products (like FeatureStore or synthetic data management); Work closely with data analysts, data scientists, engineers, and cross-functional teams to understand data requirements and deliver high-quality solutions.
Design and integrate LLM- and agent-based capabilities into data platforms and services, enabling smarter data operations and AI-driven data products.
Design, develop, and optimize scalable data pipelines to ensure data is clean, accurate, and ready for analysis.
Build and maintain robust data models that support clinical, business intelligence, and operational needs.
Implement and enforce data quality standards, monitoring, and best practices across systems and pipelines.
Manage and optimize large-scale data storage and processing systems to ensure reliability and performance.

Were looking for a hands-on Edge Software Engineer to join our Innovation Team and build the software backbone that connects prototype AI perception to operational deployment. This is a mid-to-senior level role focused on reliability at the edge. Youll own communication and synchronization across distributed platforms, design robust runtime architectures, and package perception pipelines into production-grade modules built for harsh real-world constraints.

This isnt a narrow backend job - its an opportunity to build the next generation of AI-powered maritime infrastructure from the ground up, with full ownership and impact, alongside the most innovative team in the most advanced company in this space.

What Will You Do?
Architect and implement containerized edge pipelines (Docker, DeepStream/Triton) for Jetson and x86.
Design and implement the edge comms stack (sync, heartbeat, telemetry).
Lead cross-functional integration with algorithm, product, and field teams.
Own the end-to-end integration of AI models into embedded systems.
Drive profiling, debugging, and performance tuning in constrained environments.
Support hardware-software integration in both lab and vessel environments.
Contribute to strategic innovation rollouts and project qualifications.

Lead the tech behind one of Israel’s fastest-growing companies. At Kendago, highly stable and profitable company, we’re not just running ads — we’re building a game-changing tech product that gives our marketing teams a serious edge. It’s a smart, insight-driven optimization platform that analyses tons of ads data and turns it into real-time recommendations and insights for publishers. We’re looking for a passionate and proactive Software Team Leader to head a backend-focused R&D team, responsible for designing and building scalable core systems, while remaining hands-on and close to the code. You’ll be at the center of our most strategic tech and business initiatives, driving innovation and delivering high-impact solutions.
This is a hybrid position, including two to three work-from-home days per week , with flexibility based on team and individual needs. Our Office is located in Kiryat Ono.


Responsibilities:

* Lead a full-stack team working on our proprietary optimization platform Architect and build high-scale, data-centric web systems
* Be a hands-on leader: code when needed, unblock, mentor, and push forward
* Collaborate with product managers who work hand-in-hand with our performance teams.
* Balance rapid delivery with long-term architecture and stability

Biz Dev:
R&D

Remote/Part time:
Hybrid

we are looking for a senior software engineer to join our team. Our team develops AI agents and infrastructure used across the organization.
In this role, youll be involved in the full lifecycle of software development from creating POCs to supporting systems in production. Some tasks involve research that requires a system understanding, curiosity, and the ability to work independently.
Youll work with large language models (LLMs) from multiple vendors and utilize a wide range of AWS cloud services.

Join our team as a Data Analyst and become part of our expert team, specializing in processing high-quality geographic data, databases, and layers to drive innovative solutions in the GIS world. Dive into technical research, automated process development, and critical decision-making to revolutionize real-time infrastructure data accessibility.



Responsibilities

Process and analyze geographic data, databases, and tabular data with a focus on high-quality outputs.
Conduct technical research, assess the relevance and quality of geographic data layers, and make informed decisions regarding their usability.
Contribute to the development of broader automated processes aimed at enhancing data analysis capabilities.
Design tools for statistical analysis and automation to improve efficiency and accuracy in handling geographic data.
Utilize expertise in GIS and mapping to interpret and manipulate geographic data effectively.
Collaborate with team members to ensure the accuracy and relevance of geospatial information for real-time data product features.

Were growing fast, building with intention, and helping the biggest names in gaming take back control of their business.
As a FinOps Engineer you will take ownership of cloud & SaaS cost visibility, optimization, and governance across our multi-cloud (AWS + GCP) environment.
This role will work closely with DevOps, Engineering and Finance teams to ensure we scale efficiently, maintain high performance, and meet budget goals while supporting rapid growth.
Responsibilities:
Implement and maintain cost tracking dashboards across AWS, GCP, and SaaS platforms.
Create cost allocation tagging standards to enable team-level visibility.
Develop real-time alerting for abnormal spend spikes.
Work with engineering teams to right-size infrastructure, optimize reserved instances/savings plans, and reduce unused capacity.
Identify cost-saving opportunities in our cloud & SaaS solution..
Recommend architecture patterns that balance performance, scalability, and cost.
Establish cloud budget guardrails and enforce cost accountability across teams.
Educate developers and engineering managers on cost-aware design and deployment practices.
Build predictive models for future costs based on historical trends and scaling projections.
Support product launches and migrations with cost impact assessments.

Were looking for a Junior Software Engineer to join our growing development team.
This is a unique opportunity for a motivated developer to work on meaningful projects, learn from experienced engineers, and grow in a fast-paced, innovative environment.
Responsibilities:
Design, develop, and maintain backend services and integrations
Write clean, efficient, and testable Python code
Collaborate closely with cross-functional teams, including Product, AI, and DevOps
Participate in code reviews and contribute to technical discussions
Troubleshoot, debug, and optimize application and system performance

we are looking for a Senior Backend Software Engineer.
As a Backend Software Engineering, your job responsibilities will include:
Build new and exciting components in an ever-growing and evolving market technology to provide scale and efficiency.
Develop high-quality, production-ready code that can be used by millions of users of our cloud platform.
Make design decisions on the basis of performance, scalability, and future expansion.
Work in a Hybrid Engineering model and contribute to all phases of SDLC including design, implementation, code reviews, automation, and testing of the features.
Build efficient components/algorithms on a microservice multi-tenant SaaS cloud environment
Code review, mentoring junior engineers, and providing technical guidance to the team (depending on the seniority level)
JR316760

we are looking for a technological operations specialist with a systemic view, initiative, and the ability to perform well in a dynamic environment. The role includes:
* Responsibility for operating, monitoring (including building monitoring dashboards), and maintaining production operational systems
* Troubleshooting critical services, including systems with IIS interfaces and integration with databases
* Working with cloud services and supporting version deployments
* Participation in and leadership of initiatives to improve system availability, stability, performance, and resilience
* Analyzing recurring issues, initiating systemic solutions, and ensuring their consistent implementation
* Responsibility for coordinating and managing operational processes with multiple stakeholders across the organization You will be exposed to advanced technologies, work with many interfaces, and play a significant role in central processes that impact the entire organization. The role requires high availability, Real-Time incident response, and responsibility for systems with a direct impact on users and customers.

we are seeking a talented data Scientist to join our team. In this role, you will develop and implement ML models to support risk assessment and decision-making processes. The ideal candidate combines strong analytical skills with practical experience in building and deploying Machine Learning models in a financial or fintech environment. Responsibilities:
* Develop, validate, and implement Machine Learning models (Regression, Classification, Supervised/Unsupervised).
* Analyze large datasets to extract insights and support decision-making.
* Collaborate with cross-functional teams to integrate models into production systems.
* Apply Gen-AI techniques where applicable to enhance model performance.
* Document model development processes and results.