Senior Software Engineer

Talent et au-dela

Hyderabad, Telangana, India

Senior Software Engineer – Enterprise Web Application Development

Role Overview

We are looking for a Senior Software Engineer with strong hands-on experience in Angular, TypeScript, JavaScript, and large enterprise application development. The ideal candidate should have experience building and supporting scalable enterprise web applications, along with hands-on exposure to Kubernetes, AWS, CI/CD, and AI/LLM technologies.

Key Responsibilities

Design, develop, and maintain scalable large enterprise web applications using Angular, TypeScript, and JavaScript.
Develop and deploy enterprise applications using Docker and Kubernetes.
Work with AWS services including EC2, S3, IAM, Lambda, and EFS.
Develop and maintain CI/CD pipelines using Harness, GitHub Actions, and Jenkins.
Leverage AI/LLM technologies including LLMs, RAG, Embeddings, Agents, and Prompt Engineering in application development.
Collaborate with cross-functional teams to design, develop, test, and deploy enterprise application solutions.
Troubleshoot application and deployment issues and contribute to continuous improvement.
Follow software engineering, DevOps, cloud, and enterprise application development best practices.

Candidates must have hands-on experience across all of the following areas:

Angular – Non-negotiable
Large Enterprise Application Development – Non-negotiable
Kubernetes
AWS
CI/CD
AI/LLM TechnologiesImportant: Angular and large enterprise application development experience are non-negotiable requirements. Candidates without hands-on experience in both areas should not be considered for further evaluation.

Qualification Criteria

Required Skills & Experience

4–6 years of total experience in software development.
2+ years of hands-on experience in large enterprise application development.
3+ years of hands-on Angular experience.
Strong experience with Angular, TypeScript, and JavaScript.
Hands-on experience with Kubernetes and Docker.
Strong experience with AWS, including EC2, S3, IAM, Lambda, and EFS.
Experience with CI/CD and tools such as Harness, GitHub Actions, and Jenkins.
Hands-on experience with AI/LLM Technologies, including LLMs, RAG, Embeddings, Agents, and Prompt Engineering.

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