לוח משרות דרושים, לחיפוש זה נמצאו 33,170 משרות

We are looking for a talented and experienced Mid-Level Data Engineer with a passion for data and cloud technologies to join our team. In this role, you will be a key player in designing, developing, and maintaining our AWS and Databricks-based data platform. You will bridge the gap between robust Data Engineering, Database Administration (DBA), and high-performance Analytics Engineering.

The ideal candidate understands the Lakehouse architecture, has experience managing modern cloud data warehouses like Snowflake, and possesses the ability to build scalable ETL pipelines that drive data-driven business decisions.

Key Responsibilities

End-to-End Pipelines: Develop and maintain complex ETL/ELT pipelines using Python/PySpark on the Databricks platform, as well as loading and transforming data within Snowflake.
Data Architecture: Implement and manage data layers following the Medallion architecture (Bronze, Silver, Gold) using Delta Lake.
Optimization & Analytics: Set up and manage Databricks SQL Warehouses, perform query optimization, and utilize internal visualizations for rapid data exploration.
Cloud Infrastructure: Leverage AWS cloud services to manage data storage, compute resources, and secure data movement.
DBA & Performance Tuning: Act as a custodian for our data platform-managing indexing, clustering, vacuuming, and performance tuning across both Delta Lake and relational/warehouse environments to ensure cost-efficiency and high speed.
Data Modeling: Design data models (Star Schema / Snowflake) in the Gold layer to ensure optimal performance for BI tools (e.g., Power BI, Tableau).
Data Governance: Manage metadata, permissions, and lineage using Unity Catalog and platform-specific access controls.
Quality Control: Implement automated Data Quality tests as an integral part of the CI/CD data pipelines.

In this role, you will be responsible for managing a broad and dynamic sales pipeline of SMB clients (Small and Medium Businesses, startups, and growing companies) in the Israeli market. Your primary focus will be selling Salesforce solutions, rapid implementation services (Professional Services), and tailored support and optimization packages (Managed Services).

The ideal candidate has a proven track record in high-velocity sales with short sales cycles, the ability to quickly diagnose business needs, communicate effectively with C-level executives and founders of growing companies, and consistently close deals at a high tempo.



Key Responsibilities (Summary of Experience)

End-to-End SMB Sales Ownership: Lead high-velocity sales cycles from initial discovery (Inbound/Outbound) through quick scoping, value proposition crafting, negotiation, and closing.
C-Level & Founder Advisory: Engage with CEOs, VPs of Sales, Marketing, and Operations within SMBs, effectively demonstrating how Salesforce can accelerate their business growth.
Tailoring Agile PS & MS Solutions: Drive revenue by selling focused, quick-win implementation projects (Professional Services) alongside scalable Managed Services packages that allow businesses to grow with the platform.
High-Volume Pipeline Management: Strategically manage a high volume of concurrent opportunities, maintaining high conversion rates, speed-to-market, and responsiveness.
Account Expansion: Monitor existing SMB accounts to identify triggers and signals for up-sell and cross-sell opportunities as their businesses scale.

As a Cloud DevOps Engineer, you will be responsible for setting up, maintaining, and evolving the AWS cloud architecture, as well as for supporting infrastructure monitoring and alerting, issues troubleshooting, and developing required automation for our customers .

Responsibilities

Assist in creating a tailor-made architecture.
Deployment of advanced services on the cloud.
Implement automation solutions.
Maintain a feedback loop with the companys customers to ensure deliveries are in accordance with the customers needs and expectations.
Debug, troubleshoot and fix technical issues.
Setup large-scale monitoring and logging solutions.

We are looking for a highly skilled and visionary Senior Machine Learning Engineer to lead the architecture, design, and deployment of enterprise-grade AI/ML projects on AWS. In this role, you will take full technical ownership of advanced AI initiatives, leveraging both native managed services (such as Amazon SageMaker and Bedrock) and custom-built GenAI models to deliver transformative predictive insights and automation to our customers.

As a Senior ML Engineer, you will bridge the gap between complex data engineering and state-of-the-art data science. You will drive the design of scalable MLOps architectures, optimize high-volume data pipelines, and act as a trusted technical advisor to our clients. You will work closely with solutions architects, project managers, and data scientists, while also mentoring junior and mid-level engineers to elevate the team's technical capabilities.

Responsibilities

Architect and Lead ML Solutions: Spearhead the end-to-end architecture, development, and production deployment of robust Machine Learning models, including advanced predictive analytics, NLP, and Generative AI/RAG systems.
Enterprise MLOps & Automation: Define, design, and implement enterprise-grade MLOps strategies. Establish CI/CD pipelines for ML, automated model training, monitoring, versioning, and governance at scale.
AWS AI/ML Mastery: Architect innovative solutions leveraging AWS AI/ML managed services (e.g., SageMaker, Bedrock) to accelerate time-to-market while ensuring high performance and cost-efficiency.
Advanced Data Engineering: Lead the design of highly scalable infrastructure for extracting, transforming, and loading (ETL) data from diverse sources to support complex ML feature stores and model training.
Unstructured Data & Vector Search: Architect systems for the optimal ingestion, processing, and semantic retrieval of unstructured data (text, images, documents) using Vector Databases (e.g., OpenSearch, Pinecone) and graph-based reasoning.
Strategic Advisory & Collaboration: Act as a trusted AI advisor to external enterprise customers and internal C-level executives. Translate complex business constraints into scalable ML architectures and guide clients through their AI adoption journey.
Technical Leadership & Mentorship: Mentor mid-level and junior engineers, establish coding and architectural best practices, and foster a culture of continuous learning and innovation within the team.

The Project Manager will oversee and manage the end-to-end delivery of digital transformation centered on CRM strategy and the Salesforce platform. This role requires a strong strategic understanding of CRM processes (Sales, Service), deep knowledge of the Salesforce ecosystem, and expertise in Project Management methodologies. The Project Manager will ensure the successful execution of complex Salesforce initiatives while aligning technology solutions with core business goals and maintaining the highest standards of quality and efficiency.

Key Responsibilities:

Lead cross-functional teams in the execution of large-scale CRM and Salesforce programs (e.g., global implementations, legacy system migrations, or platform consolidations).
Develop and maintain detailed program roadmaps, timelines, and budgets for the entire Salesforce portfolio.
Ensure all programs are delivered on time, within scope, and on budget.
Monitor program progress, proactively manage risks, and resolve inter-project issues and dependencies.
Report regularly to senior management and stakeholders on overall program performance and business value realized.
Serve as the primary point of contact for internal business clients (Sales, Service, Marketing departments), ensuring their needs are deeply understood and met by the technology solution.
Manage relationships with internal and external stakeholders, including Salesforce Architects, Development Teams, and Business Process Owners.
Drive organizational change management to ensure high user adoption of the implemented Salesforce solutions.
Collaborate with Salesforce Architects and Engineers to design and implement solutions that meet specific business needs while ensuring system scalability, stability, and platform best practices.
Ensure all projects meet the highest quality and data integrity standards.
Lead, mentor, and motivate multiple project teams involved in the program to achieve high performance.
Allocate resources effectively and manage team workload across the entire program.

The Senior Engineer will drive end-to-end AI projects, architect reliable AI platforms, and collaborate closely with product, engineering, and business teams to deliver high-impact solutions.



Summary of Key Responsibilities

Lead the design and implementation of Gen AI platform components using Python and modern microservices.
Drive engineering and operational best practices across AI projects.
Collaborate with technical, product, and business teams to deliver customer value and define product vision.
Lead end-to-end development of AI systems, including research, experimentation, deployment, and scaling.
Mentor and support engineers, fostering collaboration, knowledge-sharing, and continuous learning.
Analyze complex problems, define requirements, and propose AI-driven solutions.
Apply DevOps principles to maintain secure, scalable, and high-performance AI systems.
Design and implement secure APIs for safe interaction with AI models.
Stay up-to-date with the latest Gen AI technologies and trends, and bring innovation to the team.

We are seeking a highly skilled and motivated Senior Software Engineer GenAI to join our growing R&D team. In this role, you'll design, develop, and scale our next-generation backend platform, AI-driven workflows, and GenAI applications. You'll work with modern cloud technologies and LLMs to build resilient, high-performance systems while contributing to architecture, technical leadership, and mentoring.

This role is ideal for an experienced backend engineer who enjoys solving complex technical challenges, building scalable systems, and working with cutting-edge AI technologies.

Key Responsibilities

Design and develop scalable backend services using Python.
Build resilient distributed systems, microservices, and AI-driven workflows.
Integrate Large Language Models (LLMs) using AWS Bedrock and other AWS services.
Design and implement event-driven architectures and modern APIs.
Optimize databases, search capabilities, and caching strategies to support high-performance applications.
Contribute to cloud infrastructure, CI/CD pipelines, and observability practices.
Collaborate with Product, Data Science, and Engineering teams to deliver scalable solutions.
Provide technical leadership through architecture discussions, mentoring, and hands-on development.

The Salesforce Consultant will be responsible for performing business analysis in order to support the following departments - Sales, Customer Service, Partner Management, and Operations teams.



Summary of Key Responsibilities

Analyze customer business requirements and define future needs based on Salesforce best practices
Configure the Salesforce application based on the customer's requirements
Implementation and support activities for projects
Allocate tasks including project timelines
Deliver projects, using the most appropriate Salesforce tools and techniques
Apply best practices to build the Salesforce applications
Work with internal and external interfaces
Implement business functionality
Research Salesforce capabilities as needed to suit business requirements
Perform Quality Assurance of customer projects

Architectural leadership of the enterprise DWH project in an AWS cloud environment. The role focuses on designing robust data infrastructure, establishing the technological roadmap, and enabling seamless large-scale data processing to support BI and AI initiatives.

Key Responsibilities:

Lead the architectural design and implementation of the new enterprise DWH project.
Design, develop, and optimize complex cloud-based data solutions for processing massive datasets.
Select and implement the optimal AWS services (Redshift, Glue, Athena, EMR) and data formats (Parquet, Iceberg) for the core data stack.
Provide technical leadership, mentorship, and professional guidance to the Data Engineering team.
Collaborate closely with development teams, Data Scientists, and end-users to define requirements and deliver innovative Data and AI solutions.

Integration into the development team for a core DWH project and various AI projects. Responsibilities include the ingestion of large volumes of new data, followed by deep understanding and analysis of data in close collaboration with Data Scientists. Design, development, and optimization of critical, diverse, and large-scale data pipelines - in both cloud and on-premise environments.



Key Responsibilities:

Take responsibility for the ingestion of large volumes of new data.
Conduct deep understanding and examination of data in close collaboration with Data Scientists.
Design and develop critical, diverse, and large-scale data pipelines and processes.
Deploy and optimize data solutions across both cloud and on-premise environments.

In this senior role, you will demonstrate prescriptive solution-selling expertise by developing deep account strategies for large-scale organizations, focusing on Professional Services (PS) and Managed Services (MS).

You will provide leadership in strategic engagements, interacting with C-level executives and leading cross-functional teams (including solution architects, delivery managers, and consultants) to close complex, high-value digital transformation deals. The ideal candidate has extensive experience in the Israeli enterprise market, with a deep understanding of navigating large organizational structures, managing long-term relationships, and driving business value through the Salesforce ecosystem.



Summary of Experience

Enterprise Ownership: Own the end-to-end sales cycle for large, complex deals-from initial relationship building to scope definition, negotiation, and contracting.
C-Suite Advisory: Act as a trusted advisor to high-level decision-makers, aligning capabilities (Core clouds, Industry clouds, and data solutions) with their business transformation goals.
PS & MS Growth: Drive revenue across the entire project lifecycle, from large-scale Professional Services (implementation, migration, and customization) to long-term Managed Services (ongoing optimization, support, and evolution).
Account Expansion: Identify signals for large-scale up-sell and cross-sell opportunities within existing enterprise accounts, maximizing the lifetime value of the Salesforce platform.

As a Sales Development Representative (SDR) , you will help businesses advance their cloud journey and digital transformation.

We are looking for a highly proactive, ambitious, and results-oriented Sales Development Representative (SDR) who is eager to learn and possesses a strong sense of curiosity. As an SDR, you will be part of the Israeli marketing team and work closely with other cross-functional teams.

Responsibilities:

Conduct cold and hot calls and email sequences to generate new sales opportunities.
Understand our Ideal Customer Profile (ICP) and conduct company and industry research.
In coordination with the marketing team, develop nurturing strategies that include outbound calling, emailing, events, etc., to convert leads into sales opportunities.
Schedule meetings with potential customers for our sales representatives in alignment with the sales team.
Present AWS / Salesforce and AllCloud products and participate in demo/pitch sessions with C-level and VP-level executives of potential new customers.
Create leads, opportunities, and reports in Salesforce in collaboration with the AWS / Salesforce team.
Collaborate with the Account Executive team on account strategy, messaging, and qualification criteria, and participate in the early stages of the deal cycle.