
Customer Solution Engineer
at Conversational Automation & Intelligence. (E1)
- Work with customers and partners to understand, identify the issues and provide technical assistance in the setup, integrations, and usage of the company platform.
- Work with the internal engineering and business development teams, to research, solve and enable customers to their full potential.
- Talk to customers through a series of actions, either via phone, email or chat, until they’ve solved a technical issue.
- Document technical knowledge in the form of notes, manuals and FAQs.
- Ensure all customer conversations are logged. Prioritize and manage several open issues at once. Follow up with customers and other internal teams to ensure that the issues are resolved on time
- Work with the product team to identify gaps and recommend solutions for the same.
Requirements
- Up to 4 years of experience.
- An engineer with immense energy and affinity to work with customers and solve their critical issues. B.Tech, especially in Computer Science, Computer or Electrical Engineering or related fields, is highly desired.
- Experience in software development technologies. Familiarity with web technologies & scripting languages (HTML, NodeJS, Python in particular) is a strong plus.
- Ability to reason, think and identify problems and work with teams to design, estimate & deliver a solution for the same.
- Excellent communication skills (both verbal and writing) to converse with customers and the ability to capture knowledge into documentation & reference materials.
- A persistent learner with the ability to constantly learn and grow with the team

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Expertise in backend development with programming languages such as Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS.
Proficiency in SQL, Python, and Scala for data processing and analytics.
Strong understanding of cloud platforms (AWS, GCP, or Azure) and their data services.
Strong foundation and expertise in HLD and LLD, as well as design patterns, preferably using Spring Boot or Google Guice
Experience in big data technologies such as Spark, Hadoop, Kafka, and distributed computing frameworks.
Hands-on experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery
Deep knowledge of data governance, security, and compliance (GDPR, SOC2, etc.).
Experience in NoSQL databases like Redis, Cassandra, MongoDB, and TiDB.
Familiarity with automation and DevOps tools like Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, and ELK.
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Strong leadership, communication, and stakeholder management skills
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