AWS & Linux Cloud Administration

Hello,

As discussed below is the JD mentioned

Position L2 .

Exp: 2-3 Years relevant experience

Location: Pune

Shift: Rotational Shift.

JD - AWS & Linux Cloud Administrator

Key Responsibilities

1. AWS Cloud Management

• Manage, monitor, and optimize workloads using EC2, RDS, S3, VPC, CloudWatch, IAM, Lambda, and EKS.
• Implement and maintain Infrastructure as Code (IaC) using Terraform, CloudFormation, or AWS CDK.
• Enable auto-scaling, load balancing, and fault-tolerant architectures.
• Configure and maintain AWS Systems Manager (SSM) for patch automation and fleet management.
• Work with AI/ML services (e.g., Amazon Bedrock, SageMaker, Lookout for Metrics) for predictive insights or operational intelligence.

2. Linux Server Administration

• Manage and secure Red Hat / CentOS / Ubuntu servers (installation, hardening, patching).
• Implement user management, shell scripting, crontab automation, SELinux, and auditing policies.
• Configure and troubleshoot web servers (Apache/Nginx), databases (MySQL/PostgreSQL), and application services.
• Monitor performance and automate log analytics integration with CloudWatch Logs or ELK Stack.

3. Automation & AI Ops

• Develop scripts in Python / Bash / PowerShell for repetitive task automation (e.g., patching, backups, monitoring).
• Integrate AI-based alert correlation and predictive analytics using AWS CloudWatch Anomaly Detection, Amazon DevOps Guru, or third-party AIOps tools.
• Automate operational workflows using AWS Lambda, EventBridge, Step Functions, and SNS.
• Participate in developing self-healing infrastructure via automation triggers and remediation scripts.

4. Security, Compliance & Governance

• Implement IAM least privilege, MFA, GuardDuty, Config Rules, and Security Hub compliance checks.
• Support security posture for DPDP, CERT-In, ISO 27001, and AWS Well-Architected Framework.
• Ensure patch compliance and vulnerability closure in collaboration with the Security Team.
• Participate in VAPT remediation and audit reporting.

5. Monitoring, Observability & Incident Management

• Use CloudWatch, Grafana, Prometheus, or Datadog for real-time performance insights.
• Utilize AI-based observability tools to reduce false positives and enhance incident triage.
• Handle L2 incident escalation, perform root cause analysis (RCA), and coordinate L3-level resolution.
• Prepare health reports, SLA adherence metrics, and cost optimization dashboards.

Required Skills

• Strong hands-on experience in AWS EC2, S3, RDS, VPC, IAM, Lambda, CloudWatch, and EKS.
• Proficient in Linux administration (RHEL, CentOS, Ubuntu) and Bash/Python scripting.
• Working knowledge of Terraform / CloudFormation / Ansible / Jenkins.
• Familiarity with AI-powered monitoring or AIOps tools (e.g., AWS DevOps Guru, Datadog AI, OpsRamp, Splunk AI).
• Knowledge of Docker and Kubernetes for containerized workloads.
• Understanding of networking (DNS, VPN, routing, firewalls) and security best practices.
• Excellent analytical and problem-solving skills with a proactive mindset.

Preferred Certifications

• AWS Certified Solutions Architect Associate / Professional (preferred)
• Red Hat Certified System Administrator (RHCSA)
• Foundational knowledge of AI/ML services or AIOps (AWS or equivalent)

Thanks & Regards,
Nikita TelguTalent Acquisition ExecutiveIBN Technologies