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We are looking for a skilled developer with significant experience in creating algorithm-based systems, especially in complex environments. You will lead the technical development of a robust routing and scheduling service, working closely with US-based teams.

Responsibilities:

Lead Development: Take charge of the development process for the routing and scheduling services, ensuring it meets performance and efficiency requirements.

Algorithm Optimization: Apply your deep knowledge of C++ to optimize algorithms and data structures for efficient routing and scheduling.

AWS Cloud Integration: Utilize your expertise in AWS cloud services to design, deploy, and manage cloud-based components of the routing scheduling service.

Collaboration: Work closely with cross-functional teams, including software engineers, product managers, and data scientists, to gather requirements, provide technical insights, and drive project success.

Code Quality: Maintain and improve the codebase by implementing best practices, code reviews, and refactoring when necessary.

Troubleshooting: Identify and resolve complex technical issues, ensuring the service's reliability and performance.

Documentation: Create and maintain documentation for code, design, and processes.

JR314436

We are looking for a Backend Software Engineer to join our growing team. Youll help design and build a complex SaaS platform that integrates with security systems, on-prem tools, and a powerful calculation engine, all while providing the best user experience. In our team, youll work closely with colleagues across Product, Cyber, DevOps, and QA to continuously deliver impact. Its a startup vibe inside a big company: fast-moving, hands-on, and full of opportunities to grow. You'll deepen your skills in architecture, scalability, and secure system design and help shape something that matters.

As a Backend Software Development Engineer, you will:
Plan and design high-quality backend solutions, ensuring quality through strong architecture and comprehensive testing.
Build various core components integrated as a whole product:
Extensive and stable integration solutions to both internal and external cyber sources and systems.
Improve, validate, and innovate algorithms, calculations and analytics throughout all system components and integration points.
Work in a fast-paced and agile work environment with business-oriented delivery focus.
Communicate with team members, other technical teams and management to collect requirements, identify tasks, provide estimates and meet production deadlines
Proactively self-learn, maintain, and troubleshoot all existing system components to ensure smooth and reliable operation.
Review and rewrite legacy code to latest technologies.

Your responsibilities also include creating and supporting reusable application components and patterns, considering both business and technology perspectives. You'll utilize developer tools and a range of AWS services for task management, source code handling, building, deployment, operations, and real-time communication. You are expected to demonstrate advanced skills in application design, implementation, and maintenance, often with minimal supervision.

Beyond technical tasks, you will mentor other engineers, sharing your knowledge and actively contributing to the enhancement of best practices and processes within and across teams.

Responsibilities:

Design, build, and maintain the scalable cloud infrastructure and CI/CD pipelines necessary to support our cutting-edge AI and optimization services.

Champion Infrastructure as Code (IaC) practices using tools like Terraform and Kubernetes to automate the deployment, scaling, and management of our production environments.

Implement robust monitoring, logging, and alerting systems to ensure the high availability, performance, and reliability of all services.

Partner with development teams to streamline the software development lifecycle, improve deployment velocity, and embed best practices for security and operational excellence.

JR314438

This is a senior leadership role focused on technical excellence and innovation. You will mentor a talented team of engineers and scientists, guide the end to end technical strategy from innovative research to production deployment and ultimately define the art of the possible for our most critical operational systems.

Responsibilities:

Lead the design and architecture of complex, end to end AI systems, guiding projects from initial conception and research through to production deployment and impact analysis.

Own the technical vision for the next generation of intelligent automation, creating patented technologies that directly impact Salesforce Field Service's core competitive advantage and market differentiation.

Provide technical leadership and set the strategic direction for the research and development of novel optimization and machine learning solutions.

Drive fast paced experimentation by independently or collaboratively prototyping solutions that showcase how new AI technologies can address real world business challenges. Collaborate with cross functional teams to translate prototypes into actionable solutions and define incremental delivery plans for implementation.

Mentor and guide a team of AI developers and scientists, fostering a culture of innovation, technical excellence, and continuous learning.

Stay at the forefront of academic and industry advancements by attending top tier conferences, networking with experts, and continuously learning about the latest in optimization, AI, and large language models (LLMs) to identify, evaluate, and apply emerging techniques that drive a significant competitive advantage.
JR314441

As an AI Developer on our Optimization team, you will play a key role in advancing our core optimization capabilities by infusing them with cutting-edge artificial intelligence.

Our team is on a mission to significantly enhance our existing, high-performance optimization engine. You'll tackle a diverse range of complex problems - including optimization of vehicle routing and scheduling - for our customers at a massive scale.

You will join our team at a pivotal moment and be an integral part of building our next-generation AI/ML capabilities from the ground up. As a key contributor, your responsibilities will span the entire model lifecycle, from augmenting our current optimization models with advanced AI to implementing the infrastructure for their deployment and monitoring.

You will apply state-of-the-art techniques such as Deep Reinforcement Learning (DRL), predictive analytics, and Graph Neural Networks (GNNs), all while working with rich datasets including Geographic Information System (GIS) data.

Another core part of your role will be implementing best practices for safe AI/ML rollouts. You will help build and maintain robust A/B testing frameworks and canary deployment strategies, ensuring our innovations reach production safely and effectively.

In this highly collaborative position, you will work closely with other engineers and scientists, as well as cross-functional product teams in the US, to bring these intelligent services to life.

Responsibilities:

Develop, implement, and deploy state-of-the-art optimization models and machine learning algorithms to solve complex business problems like vehicle routing and resource scheduling.

Design and build robust, end-to-end MLOps pipelinesfrom data ingestion and feature engineering to model training, validation, and serving in a production environment.

Translate complex scientific concepts and research papers into production-quality code, primarily using Python and leveraging frameworks like PyTorch and optimization libraries.

Conduct rigorous offline and online experiments to validate model performance, ensuring that solutions are statistically sound, reliable, and deliver measurable business impact.

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
JR313572

Data Architecture Direction: Provide strategic direction for our data architecture, selecting the appropriate componments for various tasks. Collaborate on requirements and make final decisions on system design and implementation.
Project Management: Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance.
Cost Optimization: Monitor and optimize cloud costs associated with data infrastructure and processes.
Efficiency and Reliability: Design and build monitoring tools to ensure the efficiency, reliability, and performance of data processes and systems.
DevOps Integration: Implement and manage DevOps practices to streamline development and operations, focusing on infrastructure automation, continuous integration/continuous deployment (CI/CD) pipelines, containerization, orchestration, and infrastructure as code. Ensure scalable, reliable, and efficient deployment processes.
Our stack: Azure, GCP, Kubernetes, ArgoCD, Jenkins, Databricks, Snowflake, Airflow, RDBMS, Spark, Kafka, Micro-Services, bash, Python, SQL.

We are looking for a talented DevOps Engineer to join our team, learn develop and grow with us. In this role you will work collaboratively with our RnD teams to empower the operations and infrastructure array, which is essential to support our ambitious goals.

Build and maintain a scalable cloud infrastructure in Production (Azure, GCP)
Troubleshoot and fix Production infrastructure/platform issues
Proactively and continuously improve Production stability and robustness to assure our infrastructure components are always up and available
Develop end to end projects in order to make our infrastructure better in large-scale including design, implementation, and ongoing maintenance.
Cost Optimization: Monitor and optimize cloud costs associated with data infrastructure and processes.

The DevOps Engineer is a key member of the DevOps Team.

As a DevOps Engineer, you will be part of the entire R&D chain, define the deployment processes, orchestrate the provisioning of new services, design and tune the infrastructure to support the growth of our engineering and application scale, and develop tools to increase productivity across teams.

Our Stack

Kubernetes, Micro Services from all the flavors (NodeJS, Python, Kotlin, etc.), GitHub, Bitbucket, Kafka, Redis, RabbitMQ, Postgres, Apache Spark, Cloud Infrastructure, Jenkins, RunDeck, Terraform, MongoDB, Docker, Linux.

Were looking for a Senior Frontend Engineer to take full ownership of the user interface for our advanced graph visualization platform.

This product visualizes large-scale, dynamic networks that represent complex behavioral and analytical relationships within our systems helping teams intuitively explore, understand, and act on data.

Youll lead the evolution of the visualization layer: optimizing performance, improving interactivity, and exploring new rendering techniques to create seamless, high-impact visual experiences.



What Youll Do

Build

Design, develop, and maintain interactive graph visualizations capable of handling large-scale, complex data.
Implement high-performance rendering pipelines leveraging 2D, and GPU-based techniques.
Collaborate closely with backend and data teams to define efficient data formats and APIs for visualization.
Optimize

Continuously profile and tune rendering performance for smooth, real-time interaction.
Ensure scalability and responsiveness across devices and data sizes.
Apply robust architecture and clean design patterns for long-term maintainability.
Innovate

Research and evaluate new rendering approaches and visualization techniques for scalability and clarity.
Prototype next-generation visual experiences that make complex data understandable and actionable.
Shape the technical direction and standards for visualization development across the organization.

We are looking for a talented and motivated **Software Engineer** to join our SDK team, focusing on the development and enhancement of our SDKs web & mobile. In this role, you will take part in designing, building, and maintaining a high-performance SDK that is integrated into customer applications, used by customers around the world.



You will work closely with other engineers, product managers, and solution teams to ensure high quality, maintainability, and performance of the SDK. If you are passionate about web and mobile technologies and enjoy solving complex challenges, wed love to meet you.



What Youll Do:



Design and implement new features and improvements in our SDKs .
Ensure the SDK is robust, secure, and easy to integrate by third-party developers.
Collaborate with cross-functional teams, including data engineer, data scientist and backend engineers.
Maintain high code quality through code reviews, testing, and best practices.
Monitor and optimize SDK performance and resource usage.
Write clear technical documentation and integration guides.

We are looking for a proactive and skilled Software Infrastructure Developer to join our team, focusing on building robust and scalable infrastructure to support seamless automation and reliability across systems. This role is essential in ensuring efficient integration within our CI/CD pipelines, creating tools and frameworks for end-to-end automation, and working with engineering teams to continuously enhance system stability. The ideal candidate will bring strong technical expertise in automation, CI/CD (with hands-on knowledge of Jenkins), containerization, and cloud infrastructure, along with proficiency in Python and Node.js.

Key Responsibilities:

Software Infrastructure Design: Design, build, and maintain scalable infrastructure and frameworks to ensure consistency and reliability on various systems.
Tool and Library Development: Develop libraries and tools to simplify the creation and management of end-to-end automation, enabling efficiency and ease of use.
CI/CD Integration: Integrate and optimize CI/CD pipelines to streamline deployment and operational workflows.
Feature Ownership: Take ownership of new features and products from design to production, ensuring high-quality, reliable releases.
Cross-Team Collaboration: Collaborate with cross-functional engineering teams to gather insights and requirements, driving continuous improvement of automation tools and frameworks.
Documentation and Knowledge Sharing: Document best practices and usage guidelines for libraries and tools to promote effective adoption and knowledge sharing across teams.
Technology Evaluation: Continuously research, evaluate, and implement new technologies to maximize development efficiency and innovation.

We are seeking a Site Reliability Engineer Technical Lead who excels at bridging the gap between infrastructure and development. In this role, you will guide and mentor a team of SREs, working closely with engineering and product teams to ensure the reliability, scalability, performance, and efficiency of our systems.

A strong emphasis will be placed on observability, designing and implementing effective monitoring, logging, tracing, and alerting solutions to provide deep visibility into system behavior. In addition, you will be responsible for supporting FinOps practices, ensuring cost optimization and financial visibility as part of the overall reliability strategy.

You should be comfortable collaborating with developers, presenting technical insights, helping shape best practices, and influencing decisions around both system health and efficiency. Your responsibilities will include incident management, automation, improvement of observability solutions, cost and performance tuning, and ensuring our platform evolves with our business needs.

Role:
Ensure production systems meet or exceed established SLAs and SLOs by actively maintaining and enhancing system performance, uptime, and efficiency.
Design and maintain end-to-end observability systemsincluding monitoring, logging, and distributed tracingto detect anomalies, reduce noise, and enable proactive issue resolution.
Work closely with engineering teams to improve monitoring and alerting of their applications, ensuring accountability for the operational health of services.
Contribute to FinOps initiatives by providing visibility into cloud usage, identifying opportunities for optimization, and supporting cost-aware engineering decisions.
Optimize application performance and resource usage on Kubernetes through tuning, scaling strategies, and deep performance analysis.
Provide guidance on reliability-first design, instrumenting code for observability, and using dashboards (Grafana, Cost Explorer, or similar) to drive incident response and operational insights.
Support incident management processes and postmortems, driving continuous improvement across reliability and efficiency.
Mentor SREs and advocate for best practices in automation, observability, reliability, and financial accountability.

As an Experienced Backend Engineer in Demand in our Tel-Aviv Office, youll play a vital role in developing one of the largest real-time big data operations in the world to support over 40TB of new data every day.
How youll make an impact:
As an Experienced Backend Engineer, youll bring value by:
Design and develop systems that empower our companys advertisers to effectively manage their advertising budgets and optimize performance toward their business goals. Build scalable and reliable solutions to process and analyze vast amounts of data, enabling actionable insights for advertisers. Work on a large-scale, high-throughput recommendations system and influence the way billions of people discover the internet. Utilize one of the largest real-time big data operations in the world, consisting of over 140TB of new data every day. Have end-to-end ownership: design, build, ship, measure, and maintain our products for advertisers to achieve their campaign goals effectively and at scale. Collaborate with talented engineers, data scientists, and product managers to build innovative and impactful solutions.

The Chip Test Engineer plays a crucial role in designing, developing, and implementing automated test for IC chips and systems for Automotive industry. The Test Engineer is responsible to define and develop tests, design test features, program test scripts, and analyze test results to ensure the quality and functionality of products. The Test Engineer collaborates with cross-functional teams to troubleshoot issues, improve test processes, and support product development efforts.

Responsibilities
Develop and implement test strategies, plans, and procedures for ATE systems to ensure comprehensive testing of ICs.
Design and develop test features, test programs, and test scripts for automated test environment (ATE) based on product specifications and requirements.
Collaborate with design engineers, product manager, production vendors and manufacturing teams to understand product functionality, performance requirements, and testability considerations.
Conduct feasibility studies and risk assessments to identify potential challenges and develop mitigation strategies for test development and implementation.
Develop test program based on code languages C++ , Java and Python.
Debug, troubleshoot, and resolve issues with ATE hardware, software, and test scripts to ensure reliable and accurate test results.
Analyze test data and results to identify trends, anomalies, and potential defects, and provide feedback to design and development teams for product improvement.
Develop and maintain documentation for test procedures, specifications, and configurations.
Collaborate with vendors and suppliers to evaluate and select ATE equipment, components, and software tools that meet project requirements and performance standards.
Stay abreast of industry trends, advancements in test technologies, and best practices in automated testing to drive continuous improvement in test processes and methodologies.