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Software Support Engineer at Quantiphi in Thiruvananthapuram – Cloud Support and Software Engineering Role

Software Support Engineer at Quantiphi in Thiruvananthapuram – Cloud Support and Software Engineering Role

Cloud Engineer I

India
Full-Time
Posted April 18, 2026
Salary
5-8 LPA
Batches
Freshers
Applicants
High Demand

About The Role

Quantiphi is a technology company focused on artificial intelligence, cloud engineering, data transformation, and enterprise digital modernization. It works with global organizations to build scalable AI solutions, cloud-native applications, and intelligent automation systems across industries. Known for strong expertise in cloud ecosystems and advanced engineering delivery, Quantiphi combines consulting depth with product-grade implementation standards. This Software Support Engineer role is ideal for engineers who want to work at the intersection of cloud reliability, software development, and operational automation while solving real production-scale engineering problems ☁️💻

Responsibilities

Provide technical support for cloud infrastructure, applications, and distributed systems.
Troubleshoot complex issues across virtual machines, storage, networking, and Kubernetes environments.
Analyze logs and metrics to identify performance bottlenecks and failures.
Develop automation scripts and internal tools using Python or Go.
Contribute to backend improvements involving APIs, observability, and reliability.
Enhance monitoring, alerting, and self-healing capabilities across systems.
Participate in root cause analysis and implement preventive technical improvements.
Support CI/CD, infrastructure automation, and operational excellence initiatives.

Requirements

  • 1 to 4 years of experience in software support, cloud engineering, or backend development.
  • Strong experience with GCP services such as Compute Engine, GKE, Cloud SQL, and Cloud Monitoring.
  • Proficiency in Linux administration and scripting with Bash or Python.
  • Hands-on experience with Python and FastAPI.
  • Familiarity with SQL, NoSQL, and message queues such as Kafka or Pub/Sub.
  • Strong understanding of logs, metrics, and observability tools.
  • Experience with CI/CD pipelines and Terraform.

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Closes internally when filled