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Customer Success Engineer

Job in 242221, Gurugram, Uttar Pradesh, India
Listing for: Recro
Full Time position
Listed on 2026-09-03
Job specializations:
  • IT/Tech
    IT Support, Technical Support, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Customer Success Engineer (Data & Automation)

Location:

Gurugram/Noida  (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  monitoring   tools .
Perform Root Cause Analysis ( RCA ) and drive issue resolution.
Support  REST APIs ,  webhooks ,  integrations , and  authentication   workflows .
Collaborate with Engineering, Product, and Dev Ops 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 .
Familiarity with  Linux ,  application logs , and  production incident management .
Knowledge of  monitoring tools  such as Cloud Watch, 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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