Customer Engineer

Join SADA as a Customer Engineer!

Your Mission

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. As a CE, you will be an invaluable resource for clients with specialized technical needs. 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.

Expectations

• Proactive Customer Facing - You will interact with customers regularly, sometimes daily, other times weekly/bi-weekly. Common touch points occur when qualifying potential opportunities and throughout the engagement as progress is communicated. In addition, you can expect to interact with a range of customer stakeholders, including engineers, technical project managers, and executives.

• Reactive Customer Facing - You will be the escalation point for technical consultations, including ad-hoc interactions. In addition, you can expect to work closely with Sales Representatives, relationship managers, and technical resources assigned to the customer.

• Workshops: You will be expected to develop (or help develop) and lead customer-facing workshops across various technical domains. This includes designing (or help design) engaging content, facilitating interactive sessions, and effectively communicating complex technical concepts to diverse audiences. You may need to tailor workshops to specific customer needs and ensure they drive understanding and adoption of proposed solutions.

Qualifications

Required Qualifications:

• 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

Useful Qualifications:

• GCP experience in the following areas:

  • BigQuery

  • Bigtable

  • Vertex AI

  • GKE

  • GCP Databases

  • GCP Security Products

  • Infrastructure Modernization

  • Application Modernization

• Ability to lead an in-depth client meeting/workshop across a broad range of topics, including discovery, cloud compliance, and security

• Deep understanding of best practices, design patterns, reference, and compliance architectures with an uncanny ability to build and recommend these as needed

• Knowledge of industry trends, new technologies, and the ability to apply these to customer architectures to drive outcomes

• Highly self-motivated and able to work independently as well as lead a team to success

Certification Requirements

Required credentials upon hire (within 30 days): 

• Google Professional Cloud Architect Certified

Two of the following within 180 days of hire:

• Google Professional Data Engineer Certified

• Google Professional Cloud Database Engineer 

• Google Professional Cloud DevOps Engineer

• Google Professional Cloud Security Engineer

• Google Professional Cloud Network Engineer

• Google Professional Machine Learning Engineer 

• Certified Kubernetes Administrator

• Google Cloud Certified Fellow

• Google Associate Cloud Engineer

• Google Cloud Digital Leader