לוח משרות דרושים Senior Backend Developer משרה מלאה

abra is seeking for a Backend Developer! We are looking for a skilled Senior Backend Developer to develop and to maintain systems using C#. This role requires developing core components of complex systems, infrastructure development, requirement analysis, and detailed software design. Full-time position based in the Central District, Israel
?Key Responsibilities:
* Development and maintenance of core components within complex, multidisciplinary, high-performance systems.
* Development of application-level infrastructures.
* Analysis of requirements and creation of detailed software design specifications.
* Planning and execution of integration and implementation processes for system-of-systems architectures, for both internal and external customers.
* Participation in formal system delivery processes for customers in Israel and abroad.

We're looking for exceptional Senior Back-End JavaScript developers, with expertise in Node.js. MongoDB, Express, Kubernetes, RabbitMQ, Cassandra and Snowflake.
In this role, you will take full ownership of product and feature development, using cutting-edge technologies, in a fast-paced and professional agile environment.
*Hybrid position.
Responsibilities:
End-to-end feature development, from conception to production.
Participate in system design and architecture planning, for optimal software performance.
Take on independent responsibilities, while contributing to the team's collective goals.
Actively learn, adapt and stay up-to-date with the evolving tech landscape, including best practices.

We are looking for a brilliant and highly motivated Senior Backend Engineer who is passionate about technology and making an impact. You will work on the core processing system of our application, revolutionizing the way the audio and video is recorded.

As a Senior Software Engineer, youll play a key role in building a secure, high-performance payments platform. Youll optimize payment routing, integrate global payment gateways and alternative payment methods, implement fraud detection and chargeback management, and help build a data lake for analytics and operations. This role is ideal for engineers with end-to-end experience who thrive in fast-paced, high-growth environments.
Responsibilities:
Building our high scale cloud-based payments platform in Node.js
Have end to end ownership: Design, build, ship, measure and maintain low latency, high availability and high performance services.
Bring your unique experience - we are open to new ideas and expect you to bring our team and platform to a new level
Optimize resource usage (database, infrastructure, integrations)
Mentor and guide software engineers and help build a professional and effective team.

We are looking for a Senior Software Engineer to join our Decision Engineering team. The group is responsible for the real-time, low-latency infrastructure that powers our fraud decisions and external APIs.
Our systems process billions of requests every day, ensuring high availability, security, and performance at global scale.
In this role, youll work on core backend components such as our decision engine, ingestion and enrichment pipelines, schema management systems, and self-serve API platform. The software you build will power critical business decisions and directly serve some of the worlds largest merchants.
This is a high-impact, high-ownership position for an engineer who thrives on solving complex distributed systems challenges, cares deeply about production-grade quality, and wants to shape the foundation of our decisioning platform.
What you'll be doing:
Lead the architecture and evolution of our decision engine and related services: real‑time decision APIs, rule and policy engines, model‑serving interfaces, and the orchestration layers that tie them together.
Design and implement highly available, low‑latency, distributed systems that process large‑scale event streams and support complex decision workflows.
Collaborate with product, risk, and customer‑facing teams to translate risk strategy and merchant needs into robust system capabilities (e.g., configurable decision flows, exemptions, auditability, analytics surfaces).
Mentor and coach engineers across levels in areas such as distributed systems design, reliability engineering, and systems thinking, elevating the overall standard of engineering in the group.
Participate in technical discussions and customer interactions, providing expertise and clear communication when supporting enterprise integrations.

We are looking for a Senior Big Data Engineer to join our growing ML Platform team. This is a great opportunity for an experienced Data Engineer who wants to apply their skills to the world of Machine Learning. Together, well provide the high-throughput tools and distributed systems needed to process billions of data points, ensuring that our models have the feature-rich, reliable data they need to perform in real-time.
ML is central to our work. It enables us to process billions of dollars worth of e-commerce transactions and identify fraud rings. Precision at scale is crucial-our models depend on engineered features derived from massive datasets. As the volume of data and the complexity of these models grow, we need senior engineers who can solve the "Big Data" challenges inherent in modern MLOps.
Why should you join us?
Youll be part of a highly proficient engineering team that is the focal point for all ML engineering activity. This role is perfect for a Big Data specialist who wants to own the data-intensive side of ML-building the pipelines and infrastructure that transform raw global traffic into actionable intelligence.
What you will be doing:
Designing and building the data-heavy components of our ML infrastructure, allowing our models to make billions of real-time decisions every year.
Building distributed data processing pipelines that power model training, feature engineering, and offline research at scale.
Optimizing the "Feature Store" concept-ensuring that the data used for training matches the data used in production for real-time serving.
Acting as a technical consultant to data scientists and researchers, helping them navigate massive datasets and providing the Spark-based tooling they need to iterate faster.
Expanding our ML data infrastructure to be scalable and efficient, focusing on the performance of data ingestion and transformation for diverse model types.
Improving MLOps standards by ensuring data reproducibility, lineage, and quality across the entire model lifecycle.

We are looking for a Senior AI Engineer to join a strong and dynamic AI Engineering team. We are the focal point for AI initiatives, striving to constantly bring innovation and leverage AI capabilities across all company teams and products.
Today, AI is central to how we operate, across the entire organization. It allows us to move fast and release features at a rapid pace, empowers non-technical Forterians to utilize AI tools for increased efficiency, and provides the backdrop for much of the innovation currently occurring in the company.
If this kind of working environment sounds exciting to you, if you understand that Engineering is about building the most effective and elegant solution within a given set of constraints - consider applying for this position.
Why should you join us?
This is a great opportunity to be at the cutting edge of the AI revolution, helping to shape and build the AI platform for the future. Together, well build infrastructure for autonomous and interactive agents, enact AI guardrails and evaluation frameworks to ensure performance and safety, and implement state-of-the-art
AI and Agentic patterns.
This role presents a unique opportunity to enter the AI domain. For those with some experience in AI infrastructure, it offers the chance to grow within a team that is evolving us from the AI experimentation phase to building and leveraging AI-powered products.
What you will be doing:
Design, build, and maintain reusable AI capabilities - including models, tools, APIs, and platforms that power both internal and customer-facing solutions.
Develop and maintain our internal MCP server that easily and securely exposes our vast data stores to AI agents.
Create and implement robust evaluation frameworks and AI guardrails to safeguard our value and ensure model reliability.
Establish deep expertise and sustainable AI engineering practices.
Promote AI readiness and track adoption across the company to build lasting impact.
Build and optimize RAG (Retrieval-Augmented Generation) systems.
Take full ownership of projects: from gathering requirements from non-technical internal users to development, deployment, and operation.
Act as a consultant and advocate for AI engineering, helping other teams leverage the platforms and tools you build.
Partner with teams across to accelerate AI adoption and productization efforts.

We are seeking a senior back-end engineer passionate about building scalable, resilient systems and driving impact through technology. Join us as we evolve a key product in our portfolio and take a leading role in shaping our Chargeback Coverage & Resolution solution - one of our standout market offerings.
Chargebacks serve as a consumer protection mechanism, allowing people to reclaim funds for fraudulent charges or disputed purchases. However, this system is often exploited by bad actors engaging in fraudulent activities that harm the businesses behind the products you love.
Our Dispute Group is dedicated to safeguarding these companies, using innovative technology to combat chargeback abuse and protect their growth.
If you're driven by ownership, excited about solving complex challenges, and eager to make a meaningful impact, wed love to hear from you!
What you'll be doing:
Develop a fully automated dispute platform to prevent, deflect, and recover chargebacks to reduce revenue loss. The system will support generating millions of dollars in yearly revenue, remove friction, and streamline obsolete operational processes.
Build and maintain a high-performing, scalable chargeback management system handling tens of thousands of requests daily, originating from various input sources and reporting at changing rates.
Define and optimize the scale, reliability, observability, and SLOs of the chargeback management platform.

We are looking for a Senior Backend Developer to join our engineering team. You will focus on developing and maintaining the server-side logic and infrastructure that power our innovative applications.

Who are you?
This is an opportunity to build foundational systems that directly impact how healthcare providers deliver care. Your work will power the platform that thousands of clinicians rely on daily, combining technical challenges with meaningful real-world impact.

How will you contribute?
Audio Processing Pipeline - Design and scale our audio processing infrastructure to handle high volumes with low latency and maximum reliability
LLM Integration & Production - Partner with Data Scientists to instrument, deploy, and operationalize Large Language Models in production environments
Backend Platform - Lead platformization efforts to create abstractions, tooling, and frameworks that elevate backend development across the organization
Modern Tech Stack - Build with Python, FastAPI, Kafka, and Airflow while helping shape our technical evolution
Company-Wide Initiatives - Drive high-impact projects that define product capabilities and technical direction

We are seeking a Senior Backend Engineer - Data Platform to join our expanding team and play a crucial role in designing, building, and maintaining robust and scalable data pipelines and infrastructure. In this role, you will directly enable data-driven decision-making and support the development and deployment of AI/ML products that power Health.

Youll collaborate closely with engineering, product, and data science teams to ensure our data systems are high-quality, resilient, and scalable as we grow. As a Senior Backend Engineer on our Data Platform team, you will drive efforts to deliver reliable, efficient, and consistent data services across the organization. You will also help enable the rapid development and deployment of advanced features, insights, and AI-driven capabilities that improve outcomes for clinicians and clients.

Who are you?
You are a seasoned backend or data engineer with experience working on production-grade ML/AI-powered products. You thrive in fast-paced, high-ownership environments and are passionate about building scalable and reliable systems. You understand the unique requirements of delivering AI/ML features in production, and you are comfortable working with modern technologies in the LLM/RAG ecosystem.
You pride yourself on delivering high-quality solutions quickly, without sacrificing design or reliability. Youre known for your responsiveness, collaborative spirit, and service-oriented mindset-especially when youre on-call and the stakes are high.How will you contribute?
Design, implement, and maintain scalable and reliable data pipelines and backend systems supporting both operational and analytical needs, with a focus on ML/AI product enablement.
Ensure data processing is optimized for speed, efficiency, and fault tolerance, enabling seamless integration with AI/ML workflows and reliable performance across all our Health products.
Monitor and improve uptime, reliability, and observability of our data infrastructure and pipelines.
Build and maintain systems to ensure data quality, consistency, and usability across the organization, enabling advanced analytics and AI solutions.
Work closely with product and engineering teams to deliver new features rapidly and with a high standard of technical excellence.
Drive innovation in how we build, measure, and optimize data features, backend services, and AI product integrations.
Participate in on-call rotations with a service-oriented approach and fast responsiveness.
Lead scalability efforts to support increasing data volumes, expanding AI/ML initiatives, and new product launches.

We are hiring for a Principal/ Senior Backend Engineer to join our fast-paced KSPM (Kubernetes Security Posture Management) team in Cortex Cloud, located in our TLV office. Cortex Cloud is our company's next-generation cloud security solution.
In this role, you'll be key in developing and scaling the core parts of our KSPM solution. Our team's goal is to help Cortex Cloud customers understand and fix security issues in their Kubernetes workloads across all major cloud providers.
The ideal candidates are software engineers with a "can-do" attitude and a passion for solving real customer problems. You should be a person who wishes and is able to work closely with the team and our partners across Cortex Cloud to make decisions and drive features end-to-end.
For us, caring about people is not a slogan; we are looking for individual contributors who enjoy and want to work with great people and collaborate on delivering business value across PANWs vast customer portfolio.
Your Impact
End-to-end backend development of features and core components across the software development life cycle (design, develop, test, deploy, maintain)
As a principal software engineer, independently drive and collaborate with others to deliver high impact features in the KSPM domain
Work with customers and provide solutions to their day-to-day work and challenges
Contribute to team-wide efforts - code reviews, design reviews, technical and architectural decisions.

We are the Code Scanning Team. We are responsible for developing the core scanning engines of the company's products. To provide a holistic solution in the worlds of SCA, IaC and Secrets. We specialize in edge technologies that include static and dynamic code analysis, cloud security and complex dependency analysis.
Key Responsibilities
Own the end-to-end backend development of features and components, from design and development to testing, deployment, and maintenance.
Contribute to team-wide efforts including code reviews, design reviews, and architectural decisions, ensuring high-quality and maintainable code.
Take full ownership of specific feature segments, demonstrating accountability for quality and timely delivery from conception to release.
Architect and implement hyper-scalable solutions on GCP, ensuring enterprise-grade quality and reliability.
Challenge curiously and positively by exploring new technologies and methodologies to enhance our backend services and AI capabilities.

ShiftLeft is building the cloud security platform for developers (AppSec). Our platform empowers teams to find, fix, and prevent security risks in application code and infrastructure as code through automation and security-as-code principles. We're looking for a skilled Senior Backend Engineer to join our team and contribute to our Cortex Cloud platform.
As a Senior Backend Engineer, you'll have a high-impact role in shaping the future of our code security products. Beyond building robust and scalable backend features, you'll help drive performance, reliability, and innovation across our systems. Our group owns and leads the departments data pipelines, databases, and enrichment and persistence flows. If you're excited by technical challenges, meaningful ownership, and making life easier for developers - this is the place for you.

Your Career:
we are seeking a Senior or Principal Backend Engineer (we are open to hire both levels) for our Cortex engineering group, focusing on Cortex XSOAR, Cortex XSIAM, and new Cortex AI solutions. In this role, you will design and implement robust backend services for our leading-edge security orchestration, automation, and response platform. You will also contribute to creating innovative AI-based solutions, enhancing shared Cortex infrastructures. This is an exceptional opportunity for those eager to advance Cortex products with AI-driven capabilities and make a significant impact in the cybersecurity industry.
Your Impact:
Own the end-to-end backend development of features and components, from design and development to testing, deployment, and maintenance.
Proactively collaborate and exchange information with peers across different teams and disciplines to shape solutions and ensure alignment on product integrations.
Contribute to team-wide efforts including code reviews, design reviews, and architectural decisions, ensuring high-quality and maintainable code.
Apply a production-oriented approach, providing real-time mitigation and effective solutions to production issues to ensure platform stability and reliability.
Challenge curiously and positively by exploring new technologies and methodologies to enhance our backend services and AI capabilities.

We're on a mission to redefine vehicle safety and reliability globally. 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, which represents 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, we 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 seek an experienced technical leader to lead our MLOps Engineering team leader In this role, you will lead a team of developers and build and maintain our Machine Learning infrastructure and deployment pipelines. This role combines technical expertise in Machine Learning operations with strong leadership abilities to guide our team of engineers in delivering scalable ML solutions.
A day in the life and how youll make an impact:
* Build, recruit, and lead a team of backend engineers.
* Architect and implement enterprise-scale MLOps infrastructure
* Code ML Infrastructure & Framework for Agile ML Lifecycle, MLOps, and CI/CD.
* Design and optimize model-serving architectures
* Ensure high availability and scalability of ML systems
* Collaborate with Algorithm Engineers to deliver innovative solutions.
* Partner with product teams to align ML solutions with business objectives
* Communicate technical plans and progress to stakeholders
* Establish and enforce MLOps standards and best practices