Job Description
Responsibilities:
Deliver excellent onboarding experience: Train and drive customers to success through enablement on product features, environment setup, and prototyping implementation-vital features.
Design & Develop Solutions: Help customers realize value from requirements gathering through development and delivery of embedded analytics software solutions using Logi analytics products.
Serve as the ‘go-to’ product expert: Document and recommend best-practices used by the most successful Logi customers, evangelize for proper use of the product.
Drive Customer Success: Form an opinion on what Logi’s customers need to be successful, and advocate for the customer base internally.
Qualifications
Must Have:
6+ years in a similar Professional Services role requiring consulting
Excellent communication
Experience in a customer-facing role mapping customer requirements to software solutions
Ability to work without a Business Analyst or team of consultants/analysts in a customer-facing role
Very good front-end development knowledge with professional experience using HTML, CSS, and Javascript
Very familiar with navigating Windows and Linux OS
Working knowledge of containers and micro-services architecture
Very good grasp of at least one relational database flavor of SQL
Writing a SQL-based query
Stored procedures
Table Valued Functions
CTE Statements
Hierarchies
Indexing
Performance tuning and other advanced concepts
Basic experience shell scripting
Experience and working knowledge of the following topics are nice to have and a plus.
Deploying software to cloud environments including AWS and/or Azure
A good understanding of Kubernetes
Good working knowledge of Node.js
Working knowledge/experience of software development practices (e.g. Software Development Life Cycle, Agile methodology)
Good working knowledge of modern front-end solutions (e.g. Angular JS, React JS, Vue JS)
Back-end languages and concepts (e.g. Java EE, ASP. Net, C#, Spring Boot, Python)
Knowledge and experience of No SQL/Search database engines (e.g. Mongo DB, Elasticsearch, Cassandra, Cosmos DB)
