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Customer Success Engineer

Customer Success Engineer

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Job Description

Customer Success Engineer (Data & Automation)

Location: Gurugram (Onsite), 5 days/week

Experience: 1-3 Years

Joining Timeline: Immediate

About the Role:

We are looking for a Customer Success Engineer/Technical Support Engineer to provide technical support to enterprise customers, troubleshoot production issues, and ensure seamless operation of cloud-based applications. You will work closely with Engineering, Product, and Customer Success teams to resolve complex technical challenges and deliver an exceptional customer experience.

Responsibilities:

  • Troubleshoot and resolve production issues for enterprise customers.
  • Investigate incidents using application logs, SQL queries, and monitoringtools.
  • Perform Root Cause Analysis (RCA) and drive issue resolution.
  • Support REST APIs, webhooks, integrations, and authenticationworkflows.
  • Collaborate with Engineering, Product, and DevOps teams to resolve customer-reported issues.
  • Manage customer onboarding, technical implementations, and ongoing production support.
  • Create and maintain technical documentation, troubleshooting guides, and knowledge base articles.
  • Ensure timely resolution of support tickets while adhering to SLAs.

Requirements:

  • 1-3 years of experience in Technical Support, Product Support, Customer Success Engineering, or Application Support.
  • Strong understanding of SQL and REST APIs.
  • Experience with Postman, webhooks, and API troubleshooting.
  • Experience with scripting using Python or JavaScript.
  • Exposure to cloud platforms such as AWS, GCP, or Azure.
  • Strong exposure with Linux, application logs, and production incident management.
  • Knowledge of monitoring tools such as CloudWatch, Datadog, Grafana, or similar.
  • Basic understanding of Docker and Kubernetes is a plus.
  • Excellent analytical, problem-solving, and communication skills.

Good to Have:

  • Experience supporting SaaS or enterprise software products.
  • Exposure to AI/LLM integrations, workflow automation, or low-code platforms.

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