Customer Engineer

February 21

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SADA India

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SADA India is a leading cloud consulting firm that specializes in a wide range of services related to Google Cloud. They provide cloud consulting, architecture, migration, and cost optimization solutions, as well as managed cloud services and change management. SADA India focuses on cloud security, infrastructure modernization, productivity and collaboration enhancement, as well as app modernization and data analytics. Their team of Google-certified professionals offers insights and best practices to help clients modernize their infrastructure and improve their cloud strategy, driving business value and ensuring secure, efficient cloud operations.

Google Cloud • Mobile Solutions • Data Enginnering • Advance Analytics • Machine Learning

51 - 200 employees

☁️ SaaS

📋 Description

• Join SADA as a Customer Engineer! • As a Customer Engineer (CE) at SADA, you will be responsible for working with clients to understand their technical needs and design solutions to meet those needs. • You will collaborate with a team of engineers, salespeople, and key stakeholders to develop and implement customized solutions for clients. • You will also provide training and enablement sessions to help clients understand and use the delivered solutions. • You will also participate in whiteboarding sessions, demos, and proofs-of-concept to demonstrate the capabilities and benefits of the solutions. • CEs are technical experts available to help prospective clients and customers with questions and issues. • You can provide insight and guidance on your solutions. • CEs can provide added value to customers and help build solid relationships. • The ideal candidate will possess deep technical knowledge and excellent communication skills and will be eager to teach, develop, and inspire new skills within the team–setting standards for repeatable processes that drive success consistently.

🎯 Requirements

• 1-3 years of experience in a technical customer-facing role. • Capabilities, experience, and general knowledge in the following domains: • AI / LLM: Understanding of how AI/LLM technologies can be applied to solve business problems and improve workflows. Able to identify opportunities for AI/LLM integration and advise on potential benefits and challenges. • Infrastructure Modernization: migrating n-tiered workloads from on-prem and other clouds with near-zero-downtime (includes a full spectrum of lift and shift to complete re-platforming scenarios) or building hybrid-cloud solutions based on containerization technologies, such as Docker and Kubernetes • Application Development: building custom web and mobile applications • Data Engineering: data warehouse modernization (including technical architectures, star/snowflake schema designs, infrastructure components, ETL/ELT pipelines, and reporting/analytic tools), OLTP/OLAP data migrations, or backup, restore, and disaster recovery solutions • Experience providing oversight and direction of cloud projects • Experience across any of the primary cloud platforms: GCP, AWS, Azure • Experience with automation technologies, including Terraform, AWS Cloud Formation, or Microsoft Azure Automation • Experience working with engineering teams • Experience working with sales teams • Exceptional customer service experience • Ability to communicate across business units and the ability to interface with and communicate complex technical concepts to a broad range of internal and external stakeholders • Time management skills with the ability to manage multiple streams and lead less experienced engineers