TestMu AI - Solution Engineer - AWS Cloud Infrastructure

LambdaTest is now TestMu AI; Dadri; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

LambdaTest is now TestMu AI is seeking a skilled AWS Cloud Engineer to manage scalable cloud environments. You will design, optimize, and maintain cloud infrastructure to ensure performance and reliability.

The ideal candidate will have 7-10 years of IT experience, with significant hands-on expertise in AWS, CI/CD pipeline implementation, and container orchestration using Docker and Kubernetes.

Join us in Dadri, Uttar Pradesh, to lead our cloud initiatives and enhance our deployment processes.

Qualifications

• 7-10 years overall IT experience with strong DevOps expertise.
• Minimum 3-5 years of hands-on AWS cloud experience.
• Proven experience implementing CI/CD pipelines and infrastructure automation.

Responsibilities

• Design and manage scalable AWS cloud environments.
• Automate infrastructure provisioning and management processes.
• Monitor system performance and troubleshoot issues.
• Implement cloud security best practices.

Skills

AWS Cloud Management

CI/CD Pipeline Implementation

Containerization with Docker

Kubernetes Management

Infrastructure as Code

Monitoring & Logging

Education

Bachelor's or Master's in Computer Science, IT, or related field

Tools

AWS Services (EC2, S3, RDS, etc.)

Terraform

Jenkins

Ansible

Job description

Responsibilities

• Design, implement, and manage scalable, secure, and highly available AWS cloud environments.
• Provision and maintain cloud resources using Infrastructure as Code (IaC) tools.
• Optimize cloud infrastructure for performance, reliability, and cost efficiency.
• Implement disaster recovery and business continuity solutions.

Cloud Infrastructure Management

• Design, implement, and manage scalable, secure, and highly available AWS cloud environments.
• Provision and maintain cloud resources using Infrastructure as Code (IaC) tools.
• Optimize cloud infrastructure for performance, reliability, and cost efficiency.
• Implement disaster recovery and business continuity solutions.

CI/CD & Automation

• Build, maintain, and enhance CI/CD pipelines for automated application deployment.
• Automate infrastructure provisioning, configuration management, and deployment processes.
• Integrate testing, security scanning, and quality checks within deployment pipelines.
• Improve release management processes and deployment efficiency.

Containerization & Orchestration

• Deploy and manage containerized applications using Docker and Kubernetes.
• Configure and maintain Kubernetes clusters in cloud environments.
• Monitor container performance and troubleshoot deployment issues.
• Implement best practices for container security and scalability.

Monitoring & Reliability Engineering

• Set up monitoring, logging, and alerting solutions for infrastructure and applications.
• Proactively identify performance bottlenecks and system vulnerabilities.
• Conduct root cause analysis and implement preventive measures.
• Ensure system uptime, availability, and reliability.

Security & Compliance

• Implement cloud security best practices and governance policies.
• Manage IAM roles, permissions, security groups, and network configurations.
• Ensure compliance with organizational and industry security standards.
• Perform vulnerability assessments and security audits.

Collaboration & Support

• Work closely with development teams to improve deployment and operational processes.
• Participate in architecture reviews and infrastructure planning.
• Provide production support and incident resolution.
• Document infrastructure designs, operational procedures, and deployment processes.

Required Technical Skills

AWS Services

• Strong hands-on experience with :
• EC2
• S3
• VPC
• RDS
• Lambda
• CloudFormation
• Route 53
• IAM
• ECS/EKS
• CloudWatch
• ELB/ALB
• Auto Scaling

DevOps Tools

• Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, or similar tools.
• Infrastructure as Code using Terraform, CloudFormation, or Pulumi.
• Configuration management tools such as Ansible, Chef, or Puppet.

Containerization & Orchestration

• Docker
• Kubernetes
• Helm Charts
• Container Registry Management

Monitoring & Logging

• Prometheus
• Grafana
• ELK Stack
• CloudWatch
• Datadog
• Splunk

Scripting & Programming

• Python
• Shell Scripting (Bash)
• PowerShell (preferred)
• Basic understanding of Java, Node.js, or other application stacks.

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, IT, or a related field.
• AWS Certified Solutions Architect, DevOps Engineer, or SysOps Administrator certification preferred.
• Experience working with microservices architecture.
• Knowledge of networking, security, and Linux administration.
• Familiarity with Agile and DevOps methodologies.

Desired Candidate Profile

• 710 years of overall IT experience with strong DevOps expertise.
• Minimum 35 years of hands-on AWS cloud experience.
• Proven experience implementing CI/CD pipelines and infrastructure automation.
• Strong troubleshooting and analytical skills.
• Excellent communication and stakeholder management abilities.