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5 Days ago

Site Reliability Engineer (SRE) in a DBaaS / SRE Automation

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Bangalore, Karnataka, India
Information Technology
Full-Time
HuntingCube Recruitment Solutions

Overview

Mandatory Skills Required

  • Database Administration (DBA) Skills
  • Relational Databases: MySQL, PostgreSQL, Oracle, MS SQL Server.
  • Database Backup & Recovery: Tools and strategies for database backups and disaster recovery.
  • Performance Tuning: Query optimization, indexing strategies, and database performance troubleshooting.
  • Database Security: User management, roles, access control, and auditing.
  • Infrastructure as a Service Knowledge
  • Infrastructure as Code (IaC): Terraform, CloudFormation, Kubernetes.
  • Kubernetes & Containers: Good Knowledge and Understanding of Kubernetes and usage of Containers.
  • Observability Tools: ELK stack (Elasticsearch, Logstash, Kibana)
  • Database Migration: Migrating databases across different platforms or cloud environments.
  • Infrastructure Scaling: Vertical and horizontal scaling techniques in cloud environments.
  • SRE Principles and knowledge (Site Reliability Engineering)
  • Strong hands-on experience in AWS and Azure cloud, and a fair understanding of Google Cloud would be required.
  • Experience in handling APIs, troubleshooting API calls, and ensuring seamless integration and performance.
  • Incident Management: Handling database outages, incident response, and on-call rotations.
  • Monitoring and Alerting: Tools like Prometheus, Grafana, Datadog, CloudWatch , suggest proactive monitoring for the application stack
  • Understanding on core SRE principles: SLA, SLI, SLO, Error budgets etc
  • Disaster Recovery Planning: Ensuring high availability (HA) and disaster recovery (DR) solutions.
  • Performance Optimisation :- Track latency, slow performance , high utilisation issues and recommend optimisation as required.
  • Scripting and Automation
  • Scripting Languages: Python, Shell scripting, Bash, PowerShell.
  • Automation Tools: Ansible, Puppet, Chef.
  • Infrastructure Automation: Automating database deployment, patching, and

scaling.

  • Networking and Infrastructure
  • Networking Basics: TCP/IP, DNS, Firewall, Load Balancers.
  • Database Connectivity: Connection pooling, failover strategies, and multi- region deployment.
  • Storage and Disk Management: Understanding IOPS, latency, and throughput.
  • Infrastructure: Familiarity with AWS services like EC2, S3, VPC, Security Groups, Private and Public subnets,IAM, CloudWatch, Cloudtrail etc and Azure services like Virtual Machines, Azure functions, Virtual Network, Resource Manager, etc.
  • OS Skills

Expertise in Linux OS ( RHEL, Ubuntu, Centos)

  • Understanding of file systems (ext4, XFS, etc.), permissions, and ownerships
  • Knowledge of process monitoring, management, and troubleshooting
  • Proficiency with tools like top, htop, vmstat, iostat, sar, and dstat to monitor CPU, memory, disk I/O, and network usage.
  • Ability to analyze system logs (/var/log/, journalctl, dmesg) for troubleshooting.
  • Understanding of resource limits (CPU, memory, disk, network) and how they impact database performance.
  • Knowledge of partitioning tools (fdisk, parted) and file system management (mkfs, mount, umount).
  • Understanding of RAID configurations and Logical Volume Management (LVM) for storage scalability.
  • Troubleshooting and Debugging
  • Log Analysis: Reading and analysing database and system logs.
  • Root Cause Analysis (RCA): Performing in-depth analysis after major

incidents and sharing RCA with customers.

  • Query Performance: Analysing slow queries, deadlocks, and resource contention.

8 . Soft Skills

  • Communication Skills: Clear written and verbal communication with internal and external stakeholders.
  • Problem-Solving: Ability to prioritise, troubleshoot critical issues and bring them to closure..
  • Collaboration: Working closely with DevOps, Infrastructure, and Engineering teams.
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