Jobs at AllCloud

Lead the design, deployment, and evolution of enterprise AWS cloud environments. Responsibilities include cloud architecture, CI/CD and infrastructure automation, Kubernetes and container orchestration, observability, monitoring, logging, security architecture, complex troubleshooting, root-cause analysis, customer advisory, technical leadership, code reviews, and mentoring DevOps engineers.

Leads the design, development, deployment, and scaling of generative AI platforms and systems. Responsibilities include building Python-based microservices, applying LLM, RAG, fine-tuning, and inference techniques, designing secure APIs, implementing DevOps practices, collaborating with product and business teams, solving complex technical problems, and mentoring engineers.

Leads the architecture, development, and deployment of enterprise machine learning, Generative AI, NLP, and RAG solutions on AWS. Designs scalable MLOps platforms, data pipelines, feature stores, vector search systems, and model monitoring. Advises enterprise customers, leads technical workshops, collaborates with architects and data scientists, and mentors engineers. Requires advanced Python and ML framework expertise, AWS AI/ML services experience, big data and database knowledge, customer-facing leadership, and fluency in Hebrew and English.

Own end-to-end, high-velocity SMB sales in Israel, selling Salesforce solutions, implementation services, and managed services. Responsibilities include prospecting, discovery, solution scoping, executive and founder engagement, negotiation, closing, pipeline management, quota attainment, and account expansion through upselling and cross-selling. The role requires strong local SMB market knowledge, CRM discipline, persuasive communication, and fluency in Hebrew and English.

Own the full sales cycle for complex enterprise cloud, professional services, and managed services deals in Israel. Build account strategies, advise C-level executives, lead cross-functional teams, negotiate contracts, and drive Salesforce-related transformation revenue. Expand existing accounts through upsell and cross-sell opportunities while managing long-term client relationships and multi-phase deployments.

Lead architecture for an enterprise data warehouse in AWS, designing scalable data infrastructure, pipelines, data lakes, and analytical systems. Select and optimize AWS data services, formats, and processing technologies; establish the technology roadmap; mentor data engineers; and collaborate with developers, data scientists, and end users on BI, AI, and GenAI solutions. Candidates must also pass reliability, security, and polygraph testing.

Lead Salesforce implementation engagements by facilitating requirements workshops, analyzing business processes, creating user stories and solution documentation, configuring Salesforce, managing technical teams and integrations, migrating data, leading user acceptance testing, and delivering end-user training. The role combines project management, business analysis, and advanced Salesforce configuration across Sales, Service, Community, and Marketing Cloud environments.

Design and implement cloud-native data platforms and lakehouse architectures on AWS. Build ETL/ELT pipelines, streaming systems, data services, and AI solutions including RAG and vector search. Apply data modeling, governance, orchestration, observability, and reliability practices. Collaborate with customers and internal teams on technical designs, modernization projects, troubleshooting, code reviews, performance tuning, and production support.

Build, deploy, maintain, and evolve complex AWS cloud environments for customers. Responsibilities include cloud architecture, advanced service deployment, automation, monitoring and logging, troubleshooting, issue resolution, and customer collaboration. The role requires strong Linux, networking, security, containerization, CI/CD, infrastructure-as-code, scripting, Git, and serverless architecture skills, along with fluency in Hebrew and English.

Drive revenue for Salesforce implementation services by building pipelines, managing full sales cycles, creating SOWs, and cultivating C-suite relationships. Collaborate with Salesforce account teams, lead cross-functional internal resources, negotiate large contracts, and achieve quota while supporting strategic enterprise transformations.

Design and implement scalable Salesforce solutions, translate business requirements into architecture, lead planning/estimation, mentor developers, integrate with other systems, resolve technical issues, and keep solutions aligned with Salesforce best practices.

Design, develop, and maintain AWS- and Databricks-based data platforms and ETL/ELT pipelines using Python, PySpark, Snowflake, and Delta Lake. Manage Medallion architecture, cloud infrastructure, data warehouses, performance tuning, data modeling, governance, metadata, permissions, lineage, and automated data quality testing. Collaborate with analysts, product managers, and data scientists while troubleshooting distributed systems and database bottlenecks.

Designs, develops, deploys, and optimizes large-scale data pipelines across cloud and on-premise environments. Ingests high-volume data, analyzes datasets with Data Scientists, and builds data solutions for data warehouse and AI projects. The role requires Python, Spark, dbt, pipeline orchestration, container platforms, advanced data formats, AWS data services, and BI tool integration, along with strong analytical, collaborative, and independent working skills.

Design and build cloud-native data platforms and lakehouse architectures on AWS. Develop and maintain ETL/ELT and streaming pipelines, support RAG/vector search and ML integrations, ensure data modeling, governance, observability, troubleshooting, and migration from legacy ETL to cloud warehouses while engaging with customers and stakeholders.

Lead end-to-end delivery of Salesforce CRM programs: plan roadmaps, manage budgets, mitigate risks, coordinate cross-functional teams, drive change management and ensure solution quality and adoption.

Design, develop, and scale backend platforms and AI-driven workflows. Build resilient distributed systems and microservices, integrate LLMs (AWS Bedrock), implement event-driven architectures and APIs, optimize databases, caching, and search, contribute to cloud infrastructure, CI/CD, observability, and provide technical leadership and mentoring.

Design, build, and automate complex AWS cloud environments using IaC and container platforms. Implement CI/CD, monitoring, and centralized logging; troubleshoot issues; collaborate with customers to deliver tailored, scalable solutions.

Lead discovery, design, configuration, and implementation of Salesforce solutions across Sales, Service, and Experience Clouds. Translate business requirements into scalable designs, produce SDD/FRD, apply architecture and integration best practices, mentor junior consultants, drive Agile project delivery, and perform QA and ongoing support.

Design, build, and operate ML and data infrastructure on AWS. Migrate and optimize databases and ETL pipelines, build data lakes, process structured and unstructured data, develop and deploy ML and deep learning models (Jupyter), leverage AWS AI/ML services, and support customer-facing data solutions and migrations.

Design, develop, and deploy Python-based backend services on AWS; build event-driven, high-availability systems using Step Functions, Lambda, API Gateway, DynamoDB/Aurora/Postgres, S3; integrate LLMs via AWS Bedrock and RAG frameworks; use Docker/Kubernetes/EKS and Kafka; implement observability with CloudWatch/X-Ray; collaborate with cross-functional teams to deliver AI-powered production systems.