Cloud Engineer with Angular

Location: BLR
Experience: 6-9 Years

Ideal Candidate Profile

The ideal candidate is a Cloud Engineer with strong Angular development expertise who can contribute immediately to front-end application development while actively participating across the broader cloud engineering ecosystem. You should be comfortable working across Angular, AWS services, Kubernetes/EKS, Infrastructure as Code, CI/CD automation, and platform engineering initiatives , adapting to evolving project and business priorities while delivering high-quality engineering solutions.

Required Skills Qualifications Technical Skills

• 4+ years of software engineering experience with cloud-based application development.
• Strong understanding of AWS cloud services and cloud-native architecture principles .
• Hands-on expertise in Angular (v17+) and TypeScript .
• Experience developing backend services using Java/Spring Boot, Node.js, or Python .
• Strong understanding of REST APIs and microservices architecture.
• Experience with Kubernetes, Amazon EKS, containers, deployments, services, and troubleshooting .
• Experience working with CI/CD pipelines, Git/GitHub, and build automation tools .
• Familiarity with Infrastructure as Code and cloud configuration management concepts.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration capabilities.

Behavioral Competencies

• Ability to quickly learn existing platforms and new technologies.
• Strong ownership mindset with a proactive approach to problem-solving.
• Comfortable working across multiple technology domains rather than specializing in a single area.
• Collaborative team player with strong stakeholder engagement skills.

Preferred Qualifications

• Experience with Helm and Kubernetes-based deployment strategies.
• Hands-on experience with Terraform/OpenTofu or similar IaC tools.
• Exposure to AWS Lambda and serverless application development.
• Experience with Node.js development for cloud services.
• Knowledge of Groovy, Jenkins pipelines , or deployment automation scripting.
• Experience building cloud platform tooling and developer enablement solutions.
• Understanding of AWS IAM, VPC, networking, security, and cloud governance .
• Experience with event-driven architectures and messaging systems.
• Exposure to GitHub Copilot, GenAI-powered development tools , or AI-assisted software engineering practices.
• Knowledge of automated testing frameworks and production support processes.
• AWS Associate or Professional level certification is an added advantage.