AWS Cloud Engineer
Relevance Lab
2 - 5 years
Bengaluru
Posted: 12/02/2026
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Job Description
Key Responsibilities:
- AWS Infrastructure & Cloud Operations
- Design, deploy, and manage AWS cloud infrastructure using best practices.
- Manage AWS services including EC2, S3, VPC, IAM, RDS, ELB/ALB, Auto Scaling, CloudFront.
- Ensure high availability, fault tolerance, security, and scalability of cloud environments.
Automation & DevOps
- Implement Infrastructure as Code (IaC) using Terraform and/or AWS CloudFormation.
- Automate deployments, configuration, and operational tasks.
- Build and maintain CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, AWS CodePipeline).
Security & Compliance
- Implement AWS security best practices including IAM policies, VPC security, encryption, and access controls.
- Support compliance requirements and security audits.
- Monitor vulnerabilities and apply remediation.
Monitoring & Reliability
- Set up and maintain monitoring, logging, and alerting using CloudWatch, CloudTrail, AWS Config.
- Troubleshoot production issues and perform root cause analysis.
- Implement backup, disaster recovery, and business continuity strategies.
Collaboration & Support
- Work closely with application developers, SRE, and platform teams.
- Participate in design reviews, incident management, and on-call support (if applicable).
- Create and maintain documentation, SOPs, and runbooks.
Required Skills & Qualifications
Technical Skills
- Strong hands-on experience with AWS cloud services.
- Experience in Linux/Unix system administration.
- Hands-on with Terraform / CloudFormation.
- Experience with CI/CD tools and DevOps workflows.
- Good understanding of networking concepts (VPC, subnets, routing, security groups).
- Experience with Git and version control.
Good to Have
- Experience with Docker and Kubernetes (EKS).
- Scripting skills in Python, Bash, or Shell.
- Knowledge of serverless architectures (Lambda, API Gateway).
- Exposure to cost optimization and FinOps practices.
- AWS Certifications (Associate/Professional).
Soft Skills
- Strong problem-solving and troubleshooting skills.
- Good communication and collaboration abilities.
- Ownership mindset with attention to detail.
Education
- Bachelors degree in computer science, Engineering, or equivalent practical experience.
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