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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, SE Linux, 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, Event Bridge, 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, Guard Duty, 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:

- Solid 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, Ops Ramp, 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.

📌 AWS & Linux Cloud Administration (Pune)
🏢 IBN Technologies
📍 Pune