Principal Software Engineer

Agivant Technologies; Hyderabad; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Agivant Technologies seeks a Software Engineer – Cloud to design, develop, and optimize cloud-native backend services using Go. You will build scalable microservices, ensure high availability, and manage multi-cloud deployments across AWS, Azure, and GCP while improving performance and reliability.

The role demands strong expertise in cloud infrastructure, distributed systems, and Terraform-based IaC, with 6+ years of backend experience and solid Linux administration skills.

Qualifications

• Bachelor's or Master's in Computer Science or related field.
• 6+ years of backend software development experience.
• Strong programming in Go (Golang).
• Experience building Microservices Architecture.
• Strong knowledge of Distributed Systems and High Availability (HA).
• Experience with PostgreSQL or MySQL.
• Strong Linux/Unix administration knowledge.
• Experience with Terraform and Infrastructure as Code (IaC).
• Experience with AWS, Azure, and GCP.
• Strong understanding of Data Structures and Algorithms.
• Experience supporting cloud operations and troubleshooting production environments.

Responsibilities

• Design, develop, and enhance cloud-native backend services using Go.
• Collaborate with Product Managers and Engineering Leads to translate requirements.
• Build scalable microservices and cloud platform components.
• Design and implement distributed, highly available cloud services.
• Develop and maintain cloud-native database infrastructure.
• Debug complex issues across cloud infra, networking, virtualization, and security.
• Troubleshoot production issues and improve system reliability.
• Build automation scripts for deployment, image management, and cloud operations.
• Work closely with engineering teams to ensure seamless cloud deployments.
• Continuously improve scalability, performance, and availability of cloud services.

Skills

Go (Golang)

Cloud Infrastructure

Distributed Systems

Microservices Architecture

High Availability

PostgreSQL/MySQL

Linux/Unix

Terraform / IaC

AWS/Azure/GCP

Data Structures & Algorithms

Production Troubleshooting

Education

Bachelor's or Master's in CS

Tools

Terraform

AWS

Azure

GCP

Job description

We are looking for a highly skilled Software Engineer – Cloud with strong expertise in Go (Golang), Cloud Infrastructure, and Distributed Systems. The ideal candidate will design, develop, and enhance cloud-native backend services for a scalable SaaS platform. You will work on microservices, cloud architecture, infrastructure automation, and multi-cloud deployments across AWS, Azure, and GCP.

Key Responsibilities:

• Design, develop, and enhance cloud-native backend services using Go.
• Analyze product requirements and collaborate with Product Managers and Engineering Leads.
• Build scalable microservices and cloud platform components.
• Design and implement distributed, highly available cloud services.
• Develop and maintain cloud-native database infrastructure.
• Debug complex issues across cloud infrastructure, networking, virtualization, and security.
• Troubleshoot production issues and improve system reliability.
• Build automation scripts for deployment, image management, and cloud operations.
• Work closely with engineering teams to ensure seamless cloud deployments.
• Continuously improve scalability, performance, and availability of cloud services.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science or related field.
• 6+ years of backend software development experience.
• Strong programming experience in Go (Golang).
• Experience building Microservices Architecture.
• Strong knowledge of Distributed Systems and High Availability (HA).
• Experience with PostgreSQL or MySQL.
• Strong Linux/Unix administration knowledge.
• Experience with Terraform and Infrastructure as Code (IaC).
• Experience working with AWS, Azure, and GCP.
• Strong understanding of Data Structures and Algorithms.
• Experience supporting cloud operations and troubleshooting production environments