
Infolexus is Hiring Fresher AWS & DevOps Engineer
Infolexus
Infolexus off campus drive : Job Overview
| Company | Infolexus |
| Location | India |
| Category | Software |
| Employment Type | full-time |
| Posted | 12 Nov 2025 |
| Status | Active |
Job Description
AWS & DevOps Engineer – Infolexus (Fresher / Junior Level)
Company: Infolexus
Experience: 0–2 Years
Location: Coimbatore, India
Employment Type: Full-Time
Department: Cloud & DevOps
About Infolexus
Infolexus is a global technology company focused on cloud computing, DevOps automation, and data-driven digital transformation.
We empower organizations to scale through AWS cloud infrastructure, cybersecurity, and AI-based automation.
Our clients span across the USA, UK, Canada, Australia, Germany, Singapore, and the UAE, delivering high-performance and cost-optimized enterprise solutions.
Job Overview
We are looking for AWS & DevOps Engineers who are passionate about cloud infrastructure automation, CI/CD pipelines, and modern DevOps technologies.
This is an ideal opportunity for freshers and early-career engineers to grow in the cloud computing and DevOps domain while contributing to global enterprise projects.
Key Responsibilities
- Design, deploy, and manage AWS cloud infrastructure including EC2, S3, RDS, IAM, and Lambda.
- Develop and maintain CI/CD pipelines using Jenkins, GitHub Actions, and AWS CodePipeline.
- Automate cloud workflows using Terraform, Ansible, and CloudFormation.
- Work with Docker and Kubernetes (EKS) to containerize and orchestrate cloud applications.
- Collaborate with developers and QA teams for continuous integration and delivery.
- Ensure cloud cost optimization, scalability, and high availability for enterprise workloads.
- Contribute to AI-driven monitoring and automated DevOps pipelines for global clients.
Skills Required
- Strong understanding of AWS services such as EC2, S3, IAM, CloudFormation, and Lambda.
- Basic knowledge of Linux systems administration.
- Familiarity with DevOps tools like Git, Jenkins, Docker, Terraform, and Ansible.
- Knowledge of CI/CD pipelines, version control (Git/GitHub), and infrastructure automation.
- Scripting experience in Python, Shell, or Bash.
- Excellent teamwork, problem-solving, and communication skills.
Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or related field.
- AWS Certified Cloud Practitioner or DevOps Engineer certification preferred.
- Interest in AI automation, cloud security, and infrastructure as code (IaC) technologies.
Why Join Infolexus
- Work on global cloud migration projects across the USA, UK, Canada, Australia, Germany, Singapore, and the UAE.
- Gain hands-on experience in AWS cloud consulting, automation, and enterprise DevOps transformation.
- Learn from experts in AI-driven cloud monitoring, cybersecurity, and cost optimization.
- Build a strong foundation in DevOps and Cloud Infrastructure Engineering.
- Opportunity to work on multi-cloud environments with AWS, Azure, and Google Cloud.
High CPC Keyword Focus
Primary Keywords (High CPC – Technology & Cloud Jobs):
AWS cloud consulting, DevOps automation engineer, AI cloud migration, infrastructure as code, enterprise DevOps, cloud computing jobs USA, cloud migration strategy, AWS certification training, digital transformation services, hybrid cloud infrastructure, cybersecurity jobs, data analytics engineer, global DevOps careers.
Secondary Keywords (Target Countries – High CPC Markets):
Cloud computing jobs in USA, UK, Canada, Australia, Germany, Singapore, UAE, DevOps engineer salary in USA, AI and machine learning jobs, cloud infrastructure optimization, DevOps certification courses, enterprise software jobs abroad, remote cloud engineering jobs.
Application Process
Send your resume to:
📧 [email protected]
Tags
#AWS #DevOps #CloudComputing #Automation #Terraform #Docker #Kubernetes #CloudJobs #HighCPC #USAJobs #UKJobs #CanadaJobs #AustraliaJobs #GermanyJobs #SingaporeJobs #UAEJobs #EngineeringCareers #AICloud #Infolexus
Infolexus – Empowering Careers, Enhancing Lives through Cloud, DevOps, and AI Innovation.
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