# Customer Success EngineerRecroPosted on October 11, 2026---Experience1 - 3 yrsJob LocationGurgaon / Gurugram, IndiaVacancy1DesignationUnmapped Designation (Legacy Sentinel)Job TypeONSITE---## Job Description## Job Summary**Customer Success Engineer (Data & Automation)****Location:** **Gurugram** (Onsite), 5 days/week**Experience:** **1-3 Years****Joining Timeline: Immediate**## About the RoleWe 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.## Key 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.**---