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we are looking for a Senior Backend Developer (C# or Java).
By taking the complexity out of the financial workflows-including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence-we give businesses the tools they need to work efficiently worldwide and grow with confidence.
Location: Herzliya-Glilot
Hybrid
Full-time
What youll do:
Take a leadership role in achieving team goals, contributing to the overall design, architecture, development, quality, and production deployment of the team's systems.
Design and implement robust, scalable, and maintainable backend solutions for complex scenarios, ensuring high-quality results that may be consumed by other teams.
Collaborate effectively within your team and with cross-functional partners, such as Product, Design/UX, DevOps, and other R&D teams, representing your team as needed.
Maintain and improve the team's engineering practices, suggesting and implementing technology, patterns, or process enhancements.
Proactively identify areas of improvement in team systems, processes, and scalability.
Lead by example in code quality, contributing significantly to code reviews and acting as a focal point for engineering excellence questions.
Help monitor production systems, investigate potential issues, and lead efforts to resolve critical production challenges while maintaining a customer-centric approach.

We are looking for an experienced Senior DevOps Engineer to join our Platform Services team. In this role, you will design, build, and operate scalable platforms and infrastructure across a hybrid on-premises and multi-cloud environment, enabling engineering teams to develop, deploy, and run services efficiently, securely, and reliably.
You will work in a complex, large-scale production environment that combines on-prem infrastructure with AWS, GCP, Kubernetes, Infrastructure as Code, automation, observability, and AI-driven technologies.
What you'll do:
Design, build, and maintain hybrid infrastructure spanning on-premses platforms, AWS, GCP, and multi-cloud architecture
Operate and scale Kubernetes-based containerized production environments
Implement and manage Infrastructure as Code using Terraform and Helm
Build and maintain CI/CD pipelines and automation with Azure DevOps, GitHub Actions, and Argo CD
Drive platform engineering initiatives - developer self-service portals, internal tooling, and golden paths
Establish and improve observability and reliability practices using Prometheus, Grafana, and Coralogix
Write automation scripts and tooling in Python, Bash, and PowerShell
Own cloud networking, security, IAM, secrets management, and governance across environments
Lead production troubleshooting, incident management, and root cause analysis
Architect solutions and provide technical leadership in close collaboration with R&D teams
Leverage AI-based tools to improve automation, incident analysis, operational efficiency, and developer workflow

we are looking for a CONTRACTOR: Forward Deployed Engineer .
As a Forward Deployed Engineer on the Predict team, you'll embed directly with customers and prospects to design, build, and ship predictive models inside their real-world data environments - and feed what you learn back into the product. This is a hands-on, hybrid role at the intersection of engineering, technical consulting, and customer-facing work. You'll own the technical side of the customer journey end-to-end: from pre-sales discovery and proof of value, through data modeling and integration, to enablement and adoption. SQL is a daily tool in this role. This is a contractor engagement based in Herzliya, Israel, working on United States EST hours.
This role is based in Herzliya, Israel and works hybrid from Pendo's Herzliya office.
What this looks like day-to-day:
Run technical discovery with customers to assess product analytics maturity, data availability, and business processes - and use that to set realistic implementation expectations and position Predict for their stage.
Work hands-on with customers to design the data model and define the business metric the model will predict; map customer data sources (Pendo, Salesforce, Snowflake, and other warehouses) to Predict requirements and best practices.
Build and present compelling predictions in the prospect's own domain - explain methodology, model accuracy, and activation to earn credibility with technical stakeholders including data and data science teams.
Guide customer IT and data teams through integration steps, optimize model parameters for each customer's specific context, and diagnose and resolve blockers quickly - data quality issues, configuration gaps, and expectation misalignments included.
Help customer teams translate predictions into actions and playbooks; document how different teams (CS, Sales, Product) should respond to predictions for consistent, repeatable outcomes.
Identify and enable champion users to evangelize Predict internally - and channel field learnings back to Product and Engineering to shape the roadmap.

Were seeking passionate professionals who thrive in a fast-paced, creative, and collaborative environment - those who want to be part of the next generation of airspace security innovation.
As a Senior Python Engineer, you will play a key role in the development of our cutting-edge solutions to detect, track and mitigate drones.
Your primary responsibility will be to successfully implement real-time, multi-core, and multi-threaded software tasks and continuously develop new features and capabilities for an up-to-date response to new drone models and components, while collaborating with our algorithms and radio-frequency (RF) engineers.
This includes coding over a Linux platform, primarily in user space, with a rich and fully automated Continuous Integration and Continuous Deployment (CI/CD) platform. In addition, you will implement Scrum and Agile methodologies in your tasks, while taking features from the early requirement stage through design, implementation, integration, and then handing it over to our validation team.

At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. We’re looking for passionate and bright individuals who wish to take part in the design, development and all technical-related aspects of INFINIDAT NAS team. The selected candidate will be part of a professional team that develops in C++ over Linux high-performance, multi-threaded, clustered, mission-critical, server-side products.

Responsibilities:

* Design, develop, and maintain SW components for NAS, including file system management .
* Implement & optimize network file-sharing protocols (NFSv3/4, SMB/CIFS, S3).
* Troubleshoot and resolve complex issues related to performance, data integrity, and reliability through clustered env.
* Collaborate with QA, PM and other RnD groups (Core, UI/CLI, mgmt API, platform/HW).
* Write clean, well-tested, maintainable code and participate in code reviews.
* Improve code quality (python suites, code coverage, static analysis, memory leak detection).
* Contribute to system architecture decisions, especially around scalability, high availability, and fault tolerance.
* Monitor and improve system performance under high I/O and concurrent access conditions.
* Document technical designs, APIs, and operational procedures.

Power the Future with us! SolarEdge (NASDAQ: SEDG), is a global leader in high-performance smart energy technology, with over 3000 employees, offices in 34 countries, and millions of products installed in over 133 countries. Our diverse product offering comprises intelligent solar inverters, battery storage, backup systems, EV charging, and complete home energy management ecosystems. By leveraging world-class engineering capabilities and with a relentless focus on innovation, we strive to create a world where clean, green energy from the sun is the primary source of power for our homes, businesses, and just about everywhere we thrive
The IoE group specializes in making SolarEdge devices smarter and more connected. What You Will Be Doing:
* Develop and design high-quality code following best practices to ensure reliability, maintainability, and scalability.
* Optimize and enhance the performance of existing software components.
* Collaborate with hardware engineers to ensure seamless integration between hardware and software.
* Lead technical discussions, code reviews, and mentor junior engineers.
* Participate in the full software development life cycle including concept, design, development, deployment, and support.
* Leverage cutting-edge AI tools and the latest development features to accelerate development, improve code quality, and drive innovation across the team.
* On the Interface team, you'll develop the core infrastructure handling all communication between the device and external systems — cloud, mobile, and other on-site controllers — deployed across millions of devices worldwide.


Country:
Israel

City:
Herzliya

The Director of Engineering - Performance Management at our company is responsible for leading and
managing the engineering teams that design, build, and maintain the companys PM product. This role ensures the delivery of high-quality, scalable, and reliable solution
that support our companys customers
How will you make an impact?
Lead the PM engineering organization, ensuring alignment with company
goals
Oversee the design, development, testing, and deployment of PM
micro services
Manage resource planning, delivery milestones, and overall product quality
Ensure system capacity planning and operational support for the PM
Establish and enforce development standards, tools, and methodologies
Integrate customer and business requirements into engineering efforts
Stay current with AI and Agentic technologies such as reasoning models, LLM, SLM, AI SDLC, Agentic coding and agents orchestration
Manage global distributed team across multiple sites
Recruit, develop, and retain top engineering talent.

We are looking for a visionary engineering leader to architect and lead our quality engineering discipline into the AI era. You will own automation infrastructure, performance engineering, and all AI-driven quality initiatives - building and mentoring high-performing teams of engineers and architects who set the standard for how modern software is validated at scale.
This is not a maintenance role. You will disrupt legacy testing paradigms, champion agentic test generation, and embed AI-quality thinking into every stage of the SDLC - from the first commit to production monitoring. You will be the organizational bridge between engineering velocity and product reliability.
How will you make an impact?
AI Quality Strategy
Define and lead all AI-augmented quality initiatives across the organization
Deploy LLM-powered test generation, triage, and root-cause analysis tooling
Build frameworks for validating AI/ML model outputs and non-deterministic behaviors
Evaluate and integrate emerging AI quality toolchains (GitHub Copilot, Claude, agents)
Champion responsible AI testing practices, coverage standards, and governance models
Automation Engineering
Own the full automation strategy across UI, API, and integration layers
Architect scalable, maintainable test frameworks
Drive shift-left testing embedded in CI/CD pipelines (Jenkins, GitHub Actions)
Establish coverage KPIs, flakiness SLAs, and automation ROI metrics
Lead adoption of self-healing and AI-assisted test maintenance
Performance Engineering
Lead performance and load testing strategy at enterprise scale
Define SLOs/SLAs and partner with SRE on reliability thresholds
Design continuous performance validation integrated into delivery pipelines
Drive root-cause analysis for regressions, bottlenecks, and latency spikes
Oversee toolchain including k6, JMeter, Gatling, and APM integrations
People & Org Leadership
Lead and grow teams of automation engineers, performance engineers, and architects
Set technical direction, OKRs, and career ladders for the quality engineering org
Hire senior ICs and architect-level talent; build succession depth
Foster a culture of ownership, engineering craft, and continuous learning
Partner cross-functionally with Product, DevOps, and R&D leadership.

We're looking for an AI Specialist Engineer to join our AI Enablement team. This is a high-impact role where you will build products and internal tools used across the entire company, while working with the most advanced AI tools and best practices available today.
Key Responsibilities
Develop internal AI-powered products and tools used by teams across our company to work faster and smarter.
Lead the evaluation, integration, and rollout of AI-powered development tools across engineering teams.
Build proof-of-concept projects and internal tooling that demonstrate the practical value of AI in real workflows.
Develop best practices, prompt engineering guidelines, and training materials for AI-assisted development.
Stay current with the rapidly evolving AI tooling landscape and advise leadership on strategic adoption.
Work hands-on with the most advanced AI development tools and shape how the company uses them.

We're looking for an AI Workflow Engineer to join our System Architecture group. This is a high-impact role where you'll design, build, and continuously improve AI-powered workflows, agents, and tools that help our architects do their best work - from system design and modeling through documentation, technical decision-making, and review.
Working from within the architecture team, you'll turn the group's real, day-to-day pain points into practical AI-assisted solutions. Your primary focus is system architecture within the software development lifecycle (SDLC), and because architecture touches everything, your work will naturally extend into adjacent stages wherever AI can add value.
Key Responsibilities:
Design and build AI-powered workflows, agents, and internal tools that support system architecture work - design, modeling, documentation, architecture decisions, and reviews.
Develop and iterate on agents within our internal framework, using agentic AI techniques to accelerate and augment architecture and engineering tasks.
Continuously improve existing workflows and tools as team needs evolve and AI capabilities advance.
Partner closely with the System Architecture team to understand real pain points and turn them into practical, AI-assisted solutions.
Measure and demonstrate the impact of the workflows you build - for example on design-cycle time, review turnaround, and the quality and completeness of architecture documentation and decision records.
Build proof-of-concept projects that show the practical value of AI in real architecture and engineering workflows.
Develop best practices, prompt engineering guidelines, and reusable patterns for AI-assisted architecture and development.
Stay current with the rapidly evolving AI tooling landscape and advise on strategic adoption.

We are seeking a senior ATE Software Engineer to design, build, and deploy our next-generation automated manufacturing test platform for advanced telecom, high-density switching, and optical networking hardware.
In this role, you will bridge the gap between R&D hardware/firmware teams and high-volume manufacturing lines. You will take ownership of ingesting, refactoring, and consolidating disparate R&D scripts, diagnostic tools, and legacy software into a single, scalable, production-grade test platform.
We expect you to leverage modern AI-assisted development tools and workflows to maximize engineering efficiency, accelerate delivery timelines, and build highly robust, self-healing test automation. You will deploy test stations across global Contract Manufacturers (EMS/ODM), actively stabilize production lines through bring-up and ramp-up, and drive continuous test maintenance and root-cause failure analysis (RCA).
Key Responsibilities
Test Platform Architecture & Software Development:
Design, develop, and productize robust, modular test software frameworks for board-level (PCBA) and system-level manufacturing testing across multiple product lines and manufacturing sites.
Codebase Unification & Refactoring:
Consolidate and standardize R&D diagnostic libraries, silicon validation scripts, and firmware tools developed across various environments (Python, C# / Visual Studio, VB, ATEasy, Linux) into a unified, maintainable test execution engine.
AI-Accelerated Development & Workflow Automation:
Actively integrate Generative AI tools and AI coding agents into your daily workflow to accelerate code conversion/refactoring, automate test case synthesis, generate edge-case validation scripts, and enhance overall codebase resilience.
Production Line Deployment & Stabilization:
Deploy test stations and fixtures to local and overseas EMS/CM production lines. Monitor, debug, and fine-tune test execution during NPI and ramp-up phases until yield, takt time, and test stability targets (CPK / First Pass Yield) are achieved.
Failure Investigation & Intelligent RCA:
Investigate complex system-level and component-level test failures. Utilize advanced log analysis, structured telemetry, and pattern recognition to drive root-cause investigations and implement preventive software/hardware fixes.
Ongoing Test Maintenance & Optimization:
Provide continuous operational Production line support and maintenance, bug fixes, software updates, and station cycle-time optimizations for active mass-production lines.
R&D Collaboration & Test Specification:
Collaborate closely with Hardware, Firmware, and Validation teams during early design phases to define test specifications, drive Design for Testability,
Documentation & Technical Reporting:
Author and maintain comprehensive testing documentation, Standard Operating Procedures (SOPs), test coverage matrices, and detailed failure analysis reports.
Manufacturing Systems Integration:
Integrate automated test sequences with CMs SFC/MES/QMS, serialized tracking, and central test log databases.
Log Analysis & Analytics Tool Development:
Design and build dedicated log parsing, data visualization, and diagnostic analytics tools to streamline complex hardware/software debugging, accelerate root-cause analysis (RCA), and drive continuous production line cycle-time and yield optimization.

We are looking for a DevOps IT Engineer to join our dynamic IT team. This role blends hands-on system administration with modern DevOps practices, focusing on building, automating, and operating scalable hybrid environments across on-prem and cloud platforms.
If you are passionate about automation, cloud infrastructure, and improving developer productivity while maintaining robust and secure enterprise systems - we want to hear from you!
Responsibilities:
Design, build, and operate scalable infrastructure across on-prem environments and cloud platforms (AWS & Azure).
Manage and evolve virtualization platforms such as VMware and KVM (Proxmox).
Implement and maintain cloud infrastructure using Infrastructure as Code (IaC) and DevOps best practices.
Own identity and access management solutions including Azure Entra ID (Azure AD), SSO, MFA, Conditional Access, and directory synchronization.
Manage enterprise endpoint solutions such as Microsoft Intune and MobileIron/IVANTI.
Automate infrastructure provisioning, configuration, monitoring, and operational workflows.
Build and maintain internal tools to improve developer experience and engineering productivity.
Ensure system reliability, performance, and cost optimization across cloud and on-prem environments.
Maintain high security standards, compliance, and operational best practices.
Collaborate closely with DevOps, R&D, Security, and IT teams to support development and production environments.
Develop and maintain clear technical documentation.

As a Solution Engineer, you will play a pivotal role in designing, deploying, and optimizing our companys Network Cloud AI Infrastructure solutions. This individual contributor role requires a blend of technical expertise, leadership, and hands-on experience to implement cutting-edge solutions for our customers. You will collaborate with sales engineering teams, customers, and cross-functional teams - including Product Management, Solution Architects, Engineering, and Marketing - to define technical requirements, articulate solution value, and ensure successful deployment on-site.
Key responsibilities include guiding customers through the design and deployment process, aligning technical solutions with business needs, and providing critical feedback to improve our companys product offerings. This position demands strong technical acumen, exceptional communication skills, and the ability to lead complex, high-impact projects in dynamic environments.
Responsibilities:
Design and plan rack layouts and network topologies to support customer requirements.
Perform Data Center upgrades and ensure smooth deployment of our company solutions.
Install and configure our company products, ensuring optimal performance and customer satisfaction.
Design and implement compelling Proof of Concept lab setups, run them, and collect and document the results for the field consumption
Develop and deliver HLD and LLD documentation for customer deployments.
Design and evaluate automation scripts for network operations, configuring server and switch fabrics.
Engage with sales teams and customers to ensure success with major opportunities and deployments
Introduce new products to the company sales and support teams and to company customers
Deliver technical trainings and TOIs for support/sales engineers, partners, and customers
Collaborate on product definition through customer requirement gathering and roadmap planning.

we are seeking a highly motivated and skilled Software Engineer to join our Hardware Software team. In this role, you will be responsible for the development and integration of Board Support Packages (BSP) and low-level firmware components for our carrier-grade networking solutions. Carrier-grade routers/switches designed for service providers or data center networks. The systems integrate ASICs and high-throughput backplanes supporting multi-terabit line rates. You will work closely with hardware, platform, and system architects to bring up new hardware platforms and support advanced network functionalities in high-performance environments.
Key Responsibilities:
Develop, integrate, and maintain BSP components, including bootloaders (e.g., U-Boot), device trees, and hardware abstraction layers.
Design and implement firmware and low-level drivers for network-centric hardware platforms (e.g., ASICs, NICs, SoCs, CPLDs, FPGAs).
Support hardware bring-up and board validation, collaborating with hardware engineers and system integrators.
Work on performance optimization, debugging, and stability improvements of system software on embedded Linux platforms.
Interface with third-party SDKs and adapt them to fit within our company's software infrastructure.
Ensure compliance with industry standards and best practices for networking and embedded systems.