Job Description

Cloud-Native Engineer (Cloud Application Migration, Python, AWS/Google Cloud Platform, Kubernetes)

We are looking for an experienced Cloud-Native Engineer with strong expertise in Python development, AWS/Google Cloud Platform (GCP), Kubernetes, containerization, DevOps automation, and CI/CD pipelines.

The ideal candidate should have hands-on experience designing and developing cloud-native solutions, migrating applications to cloud platforms, and automating infrastructure and deployment workflows. Exposure to Agentic AI and Large Language Model (LLM) integration frameworks is an added advantage.

Key Responsibilities

Design, develop, and maintain cloud-native solutions on AWS and Google Cloud Platform using modern software engineering practices.
Design and deploy containerized applications using Kubernetes, Amazon EKS, Docker, and related cloud-native technologies.
Implement Infrastructure as Code (IaC) and automate infrastructure provisioning, deployment, and operational workflows.
Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, and other DevOps toolchains.
Collaborate with architects, product owners, and application teams to modernize workloads and adopt cloud best practices.
Troubleshoot technical issues, optimize application performance, and improve platform reliability.
Identify technical debt and drive continuous improvement initiatives.
Evaluate emerging technologies in Cloud and AI.

Required Skills

Strong Python development experience.
Hands-on experience with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP).
Strong knowledge of Kubernetes and containerization.
Experience with Docker and Amazon EKS.
Infrastructure as Code (IaC) and Terraform.
DevOps automation and CI/CD pipeline development.
Experience with GitHub Actions and Jenkins.
Cloud application migration and modernization.
Troubleshooting, performance optimization, and platform reliability.
Knowledge of modern cloud-native architecture and engineering practices.

Preferred Skills

Exposure to Agentic AI.
Knowledge of Large Language Models (LLMs).
Experience with LLM integration frameworks.
Familiarity with emerging Cloud and AI technologies.

Key Skills / Keywords

Python, Amazon Web Services, Google Cloud Platform, Kubernetes, Docker, Amazon EKS, Cloud-Native Engineering, Cloud Application Migration, Terraform, Infrastructure as Code, DevOps, CI/CD, GitHub Actions, Jenkins, Containerization, Cloud Automation, Application Modernization, Agentic AI, Large Language Models, LLM Integration, Cloud Architecture, Performance Optimization, Platform Reliability, Continuous Improvement.

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