Job Opportunity Posted today Updated 30 Sep 2026

Customer Success Engineer

Company
Location

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

monitoring

tools . Perform Root Cause Analysis ( RCA ) and drive issue resolution. Support

REST APIs ,

webhooks ,

integrations , and

authentication

workflows . 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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