Cloud Full-Stack Engineer

PURPOSE

As a Cloud Full Stack Developer, you will contribute across the entire delivery lifecycle — from

designing responsive frontend interfaces and scalable backend services, to building the cloud

infrastructure power the platform — to support the development, enhancement, and

operational stability of two core internal products:

1. A cloud-native Cloud Assets Platform that aggregates, transforms, and stores cloud asset

data across multi-cloud environments.

2. An internal cloud management portal that enables internal teams to manage their cloud

infrastructure and applications seamlessly across multiple cloud platforms.

KEY ACCOUNTAIBILITIES

Full-Stack Development

- Build and maintain web applications using TypeScript frameworks such as NestJS,

Next.js, and React.

- Design and implement intuitive user interfaces and responsive frontend components for

the cloud portal.

CI/CD & DevSecOps

- Develop and maintain CI/CD pipelines for automated testing, deployment, and

monitoring.

- Integrate security best practices into delivery process and cloud environment.

Data Engineering

- Design and optimize ETL pipelines to ingest, transform, and store cloud asset data from

AWS and Azure.

- Ensure data integrity, performance, and scalability of the data platform.

Cloud Engineering

- Design, implement, and manage scalable, secure, and resilient cloud infrastructure on

AWS and/or Azure.

- Build and maintain foundational cloud services including networking, IAM, storage,

compute, and monitoring.

QUALIFICATIONS / EXPERIENCE

- Bachelor’s degree in Computer Science, Engineering, or related field.

- 2+ years of experience in cloud-native application development.

- Hands-on experience with AWS and/or Azure — ideally integrating with their APIs, SDKs,

or native services

- Proficient in TypeScript (NestJS, Next.js, React) and Python

- Experience building and maintaining automation jobs and ETL pipelines

- Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormation)

- Experience with containerization and orchestration (e.g., Docker, Kubernetes)

- Knowledge of database technologies (SQL and NoSQL)

- Knowledge of cloud architecture, networking, and security principles

- Strong problem-solving and communication skills, with good written and spoken English

- Eager to learn and adapt to new technologies and cloud services

- Experience using AI/LLM frameworks (e.g., LangChain, LlamaIndex) to build or integrate

AI-powered features into applications