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Power the Future with us! At SolarEdge (NASDAQ: SEDG), we're a global leader in smart energy technology, with over 3,000 employees, offices in 34 countries, and millions of installations worldwide. Our innovative solutions include solar inverters, battery storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond. With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. SolarEdge offers amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work. The IT Applications department is responsible of a Oracle system along with multiple other systems, we design, develop and implements a global processes that have genuine influence for all SolarEdge users worldwide! IT departments is proud to support all SolarEdge users, implement new requirements, build reports, create interfaces, leading IS projects and a lot more! The position of Oracle ERP implementer will involve being in charge of major projects and interfaces, build business processes, reports, workflows, requirement documents and support our users from all departments.

Country:
Israel

City:
Herzliya

As a part of a geographically distributed team, you will work with multiple company teams and open source communities around the globe.

To be successful in this role, you will need to have motivation, curiosity, passion for problem solving, and experience with Linux technologies, Kubernetes and open source development models. We can hire you in any EMEA or APAC country where our company has a legal presence.

What you will do

Define, contribute to, and collaborate with Telco partners on Blueprints and system architectures pairing our platforms with Partner technology

Establish long-term technical relationships with key Telco partners, gathering and analyzing partner requirements and use cases to deliver meaningful business outcomes

Play an active hands-on role in researching and then architecting various OpenShift and Telco specific features into a unified solution, proactively test the involved technologies, experiment and provide demonstrations

Collaborate across teams (Product Management, Engineering, QE, Consulting, Support) to influence future directions and be an advocate for feature development and support needed for strategic partners next generation offerings

Evangelize the team's work through blogs, web postings, or conference talks

Collaborate with cross-functional teams to identify opportunities for AI integration, driving continuous improvement and innovation in engineering practices

Were looking for a team member with strong coding skills, a system -level mindset, and a passion for quality.

Location Work Model:
Full Time position
Hybrid position with 1-2 days per week in the office in Tel Aviv

This is a highly hands-on leadership role, combining deep technical involvement with ownership of the domain and team. You will lead and grow a team of engineers while remaining closely involved in architecture, design, and critical parts of the system.

You will own the deployment domain end-to-end - from infrastructure and backend services to customer experience - and play a key role in shaping how delivers its product across AWS, Azure, GCP, and on-prem environments.

This role sits at the intersection of engineering, product, and customer-facing delivery, with direct impact on customer success and company growth.


Responsibilities
Team Leadership & Ownership

Lead and grow the Backend & Deployment team, including hiring, mentoring, and developing engineers.
Drive execution, prioritization, and delivery while maintaining high engineering standards.
Foster a strong ownership culture and create clarity in a fast-paced, evolving environment.
Take full end-to-end ownership of the deployment domain, including reliability, scalability, and customer experience.
Partner closely with Product, R&D, Sales Engineering, and Customer Success to align priorities and deliver customer value.
Hands-on Technical Leadership

Remain deeply involved in the system - contributing to architecture, design, and critical development efforts.
Lead the design and evolution of deployment architectures across multi-cloud (AWS, Azure, GCP) and on-prem environments.
Work hands-on with Kubernetes, Infrastructure-as-Code (Terraform), and backend services.
Drive improvements in scalability, automation, observability, and resilience.
Collaboration & Customer-Facing Work

Act as a technical escalation point for customer deployment and integration issues, working closely with Solutions Engineering and Support.
Collaborate with external-facing teams (Customer Success, Solutions Engineering, Sales Engineering) on customer deployments and integrations, including participating in calls or troubleshooting sessions when needed - sometimes during US business hours.

This role sits at the intersection of cloud infrastructure and backend engineering. You'll build and maintain the Infrastructure-as-Code and tooling that customers use to deploy Sentra across AWS, Azure, and GCP - including Kubernetes-based, VM-based, and on-premise environments. Alongside that, you'll develop the backend services that power the deployment lifecycle: orchestration, provisioning, environment management, health monitoring, and deployment verification - time-critical services where reliability directly impacts the customer experience.

The role blends hands-on engineering, cloud architecture, and customer-facing technical work. You'll collaborate with Solutions Engineering, Support, and customers directly to ensure deployments are smooth, secure, and scalable.


Responsibilities
Customer Deployment

Develop and maintain Infrastructure-as-Code (Terraform, CloudFormation) that customers use to deploy and integrate the product into their cloud environments.
Design customer-deployable cloud architectures across AWS, Azure, and GCP, including networking (VPC/VNet, routing, NAT, PrivateLink / private endpoints) and security primitives.
Build and maintain deployment tooling (CLI tools, installers, templates, automation) to simplify customer setup and upgrades.
Develop and maintain our Kubernetes-based deployment (Golang, Helm) for either cloud-native or on-prem environments.
Backend Deployment Services

Build and maintain backend services (Python, TypeScript) that power the deployment lifecycle - including orchestration, provisioning, and environment management.
Develop health monitoring and deployment verification services that ensure reliable, validated deployments with minimal customer friction.
Design and improve APIs that manage customer environments, ensuring they are robust, well-documented, and easy to integrate with.
Own the reliability and performance of time-critical deployment services where latency and correctness directly affect customer experience.
Collaboration & Customer-Facing Work

Act as a technical escalation point for customer deployment and integration issues, working closely with Solutions Engineering and Support.
Collaborate with external-facing teams (Customer Success, Solutions Engineering, Sales Engineering) on customer deployments and integrations, including participating in calls or troubleshooting sessions when needed - sometimes during US business hours.

We are looking for a Data Analyst with strong Python and engineering capabilities to join our Data team.

This is not a traditional analytics role - it combines data analysis with hands-on development. You will work extensively with Python as part of your day-to-day work, building scalable data processes, evaluation frameworks, and classification logic that directly impacts our product.

Our team works on large-scale data systems, leveraging ML capabilities such as NER and LLMs, alongside robust engineering and analytics to deliver insights across millions of files and tables daily.


Responsibilities
Design and implement data classification logic to expand coverage of sensitive data types, owning the process end-to-end - from research and analysis to production deployment
Develop Python-based workflows and tools for data processing, evaluation, and automation
Build and maintain data pipelines and monitoring systems to track product performance and data quality
Create automated frameworks to evaluate and benchmark model performance
Collaborate closely with R&D and take part in discussions around AI/ML solutions and product direction

We are looking for a Senior Backend Engineer to join our R&D team and play a pivotal role in building Sentras multi-cloud scanning system. This position is ideal for engineers who excel in solving large-scale challenges within a fast-paced startup setting, and who are passionate about pushing the boundaries of data security in a cloud environment.


Responsibilities
Lead the design and development of our cloud scanning orchestration system, ensuring efficiency and scalability across multiple cloud environments.
Handle multiple system interactions, working with microservices and cloud-native components to build a robust and flexible scanning solution.
Research various Datasources APIs in order to develop connectors and perform efficient data scanning.Develop and implement efficient data scanning connectors by researching the APIs of various data sources.
Collaborate closely with cross-functional teams, including R&D engineers, product managers, and solution engineers, to deliver end-to-end features and tackle complex engineering challenges.
Gain a high-level architectural perspective while maintaining the ability to dig into technical specifics and optimize system performance.

We are looking for a Senior Data & Machine Learning Engineer to operate at the intersection of data platform engineering and machine learning enablement. This role is responsible for building scalable, efficient, and reliable data systems while enabling Data Science and Analytics teams to develop and deploy ML-driven features.

You will take ownership of the data and ML infrastructure layer, ensuring that pipelines, storage models, and compute usage are optimized, while also shaping how data workflows and ML solutions are designed across the organization.


Responsibilities
Data Platform & Infrastructure

Design, build, and maintain scalable data pipelines and storage systems supporting analytics and ML use cases
Ensure compute and cost efficiency across pipelines, storage models, and processing workflows
Own and improve data orchestration, transformation, and serving layers (e.g., Spark, DBT, streaming/batch systems)
Build and maintain shared infrastructure components, including:
IO managers and data access abstractions
Integrations with DBT, Spark, and other data frameworks
Internal tooling to improve developer productivity and reliability
ML Enablement & Collaboration

Partner closely with Data Science to design and productions ML solutions for new features and research initiatives
Translate experimental models into robust, scalable production systems
Support feature engineering, training pipelines, and inference workflows
Help define best practices for ML lifecycle management (training, validation, deployment, monitoring)
Data Quality, Governance & Best Practices

Enforce best practices for building and maintaining data processes across Data Analyst and Data Science teams
Define standards for:
Data modeling and transformations
Pipeline reliability and observability
Testing, versioning, and documentation
Improve data quality, consistency, and discoverability across the organization
Performance & Reliability

Optimize systems for performance, scalability, and cost efficiency
Monitor and troubleshoot data pipelines and ML systems in production
Implement observability (logging, metrics, alerting) across data workflows

We are seeking a highly experienced Software Architect to join our team and take ownership of designing and developing complex systems that directly impact our technology. In this role, youll work cross-functionally with R&D teams to build solutions that address critical needs, drive efficiency, and lead meaningful processes within the organization.


Responsibilities
Architectural Design & Strategy: Define and develop scalable and efficient system architectures.
Mentorship & Technical Leadership: Guide and mentor R&D teams, ensuring best practices and high-quality technical decisions.
Raise the Bar - Inspire and guide the team to achieve excellence in software engineering, consistently setting high standards for outstanding delivery.
Cross-functional Collaboration: Work closely with engineering, product, data science teams, and other stakeholders to translate business needs into technical solutions.
Problem Solving: Analyze and resolve complex technical challenges with innovative solutions.
Performance Optimization: Ensure system reliability, scalability, and performance through architectural improvements.

we are looking for a talented, experienced, and hands-on leader for our Product department,to build its strategy, implement relevant work processes, and take the team to the next level, building world-class digital adherence solutions for our consumers and business clients.


The Opportunity

You will own the product vision, strategy, and execution across our entire B2B2C platform.
Youll shape what we build, how we build it, and how fast we move.
Youll partner directly with executive leadership, influence company direction, and build a high-performing product organization that delivers measurable patient and business outcomes.
If you love turning strategy into shipped product, scaling teams, and building in a fast-moving digital health environment - this role is for you.
Responsibilities:

Responsible for the execution and success of B2B2C product suite.
Improve competitiveness, scale and broaden the companys offering in order to achieve competitive advantage.
Responsible for designing and building internal tools to increase our implementation efficiency and scalability.
Attend client meetings, alongside Sales to present and demonstrate the Product - US Time zone
Be an active partner in building product strategy and roadmap.
Oversee all product-related activities including prioritization, feature definition, user experience, UI/UX and quality.
Defining the Product teams growth plan and strategy.
Managing, coaching, and mentoring your team members (Product Managers and UI/UX designers).
Work closely with cross-functional teams to plan and develop scope, deliverables, required resources, work plan, budget and timeline for new initiatives.

We are seeking an experienced and passionate BI Developer with a strong background in Data Analysis to join our growing Data & Analytics team. In this role, you will own the entire BI development lifecycle-delivering scalable, reliable BI solutions and actionable insights.

You will play a key role in developing a robust data infrastructure, building intuitive dashboards, and ensuring data integrity across all reporting layers. The role is ideal for candidates who are adept at balancing hands-on development work and data analysis. You will thrive in this position if you enjoy solving complex problems, simplifying intricate data pipelines, and translating business needs into efficient data models and visualizations.

Core Responsibilities
Dashboard Development - Design, implement, and iterate KPI‑oriented Tableau dashboards that expose product, growth, and engagement signals.
ETL / ELT Engineering - Partner with data engineers to architect and orchestrate ELT pipelines. Youll own the analytics layer and semantic definitions.
Hands‑on experience with Amazon Redshift and dbt is a significant advantage.
Data Quality & Governance - Deploy validation tests, reconciliation queries, and lineage tracking to guarantee accuracy, consistency, and traceability across curated datasets and published metrics.
Data Analysis - Perform deep-dive analysis on dashboards to generate meaningful, actionable insights.

We are looking for a talented Automation engineer to join our team. As an Automation Engineer, you will be responsible for performance, system, and correctness tests for all products in the company with rich technology stuck. You will work closely with other automation and QA engineers, developers, product managers, and support to design and implement automation tests. You will also participate in code reviews and provide feedback on performance-related issues.
What you’ll do: Enhance and maintain automation tests and infrastructure Constantly increase automation test scenario coverage Execute test automation scenarios and analyze the results Collaborate closely with colleagues across all company departments Participate in code reviews and provide feedback on performance-related issues Stay up-to-date with industry trends and best practices in automation testing

Position Intro:
Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

abra professional services is seeking for an Data Scientist – Model Development A leading financial organization is seeking an experienced Data Scientist to join its Model Development team, responsible for delivering strategic, cross-organizational AI initiatives. The role focuses on developing and deploying advanced Machine Learning and AI models that support various business units, working with large-scale data in a modern cloud-based environment. Key Responsibilities
* Design, develop, and deploy advanced ML models in production environments
* Translate complex business problems into algorithmic solutions
* Analyze and process large-scale structured and unstructured data
* Work within AWS cloud infrastructure
* Leverage advanced AI technologies, including Generative AI (advantage)
* Present insights and findings to business stakeholders
* Measure model performance and continuously optimize outcomes