Software Engineer

We are seeking a highly skilled and innovative Cloud Software Engineer to join our engineering team. In this role, you will design, develop, and maintain cloudbased applications and services, solve complex engineering problems through code, build automation workflows, and support deployment of features at production scale.

This is a hands-on engineering role ideal for someone who thrives in solving challenging technical problems and building scalable cloud-native solutions.

Key Responsibilities

• Develop, test, and maintain cloudbased applications and distributed services.
• Write clean, efficient, maintainable code preferably in Go, Python.
• Solve complex engineering problems by contributing robust designs and well-structured code.
• Build automation for deployment, scaling, monitoring, and operational efficiency.
• Use AI-powered tools (e.g., GitHub Copilot, Cursor) to improve development productivity—automation scripts, documentation, and unit tests.
• Design and implement RESTful APIs and microservices architectures.
• Work with containerization technologies such as Docker and Kubernetes.
• Apply cloud best practices across performance, reliability, cost optimization, and security.
• Collaborate cross-functionally with product, QA, DevOps, and operations teams.
• Troubleshoot production issues and ensure high system availability.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• 2–4 years of professional experience in software development.
• Strong programming skills in Go, Python, or any comparable systems language (Java, C++, .NET Core, Ruby).
• Experience with Docker and container orchestration (Kubernetes).
• Experience designing scalable RESTful APIs and microservices.
• Strong analytical and problemsolving skills with attention to detail.
• Knowledge of databases: SQL or NoSQL technologies.
• Understanding of networking fundamentals, security practices, and system administration basics.

Good to Have

• Hands-on experience deploying workloads on any major cloud platform (OCI/AWS/Azure/GCP).
• Experience with Infrastructure-as-Code (Terraform/CloudFormation).
• Familiarity with observability stacks (Prometheus, Grafana, ELK, etc.).
• Knowledge of distributed systems concepts.
• Experience with performance profiling or system tuning.
• Familiarity with CI/CD pipelines and version control systems (Git-based workflows).