- Job Title: Databases Site Reliability Engineer
- Salary: Not Disclosed
- Location: Bengaluru, Karnataka
- Company: Google
- Qualifications: Bachelor’s degree
- Experience: 3-5 years
ABOUT GOOGLE
Google is a global-era enterprise focusing on internet offerings, merchandise, and virtual marketing. Founded in 1998 with the resources of Larry Page and Sergey Brin even as they were Ph.D. Students at Stanford University, Google to start with commenced out as a search engine but has in view that increased into quite a few sectors, collectively with cloud computing, hardware, and artificial intelligence. Key services and products consist of the Google Search engine, YouTube, Google Maps, Gmail, Google Cloud, and the Android walking machine.
Google is also a frontrunner in AI and device learning, with brilliant improvements in areas including natural language processing and computer vision. Headquartered in Mountain View, California, Google operates below its parent employer, Alphabet Inc., fashioned in 2015. Google is known for its innovative lifestyle, with a focal point on offering current-day technology and improving entry to records globally
Job Overview:
A Databases Site Reliability Engineer (SRE) is accountable for ensuring the supply, scalability, and basic performance of database structures in manufacturing environments. The function involves automating database operations, tracking fitness, troubleshooting issues, and optimizing the database’s usual performance. SREs artwork cautiously with improvement and operations groups to enforce fine practices for database reliability, behavior ability planning, and carry out ordinary maintenance duties. They moreover control catastrophe healing tactics, ensure records integrity, and enhance incident response workflows. A strong knowledge of database technology, cloud systems, and automation gear is crucial for this role.
Requirements and Skills for a Databases Site Reliability Engineer (SRE):
Technical Skills:
Database Management & Technologies:
- Relational Databases: Proficiency in dealing with databases like MySQL, PostgreSQL, Oracle, or MS SQL Server.
- NoSQL Databases: Experience with databases together with MongoDB, Cassandra, or Redis.
- Database Design & Optimization: Expertise in database schema design, indexing strategies, query optimization, and common overall performance tuning.
- Backup & Recovery: Knowledge of backup techniques, issue-in-time recovery, and disaster healing (DR) planning for databases.
Cloud Platforms & Infrastructure:
- Experience with cloud-based total database services (e.g., AWS RDS, Google Cloud SQL, Azure SQL Database) and infrastructure management systems.
Automation & Scripting:
- Proficiency in scripting languages like Python, Bash, or Go to automate routine database responsibilities inclusive of backups, tracking, and fitness exams.
- Experience with configuration control gear which incorporates Terraform, Ansible, or Chef for automating infrastructure provisioning and database deployments.
Monitoring & Performance Tuning:
- Knowledge of monitoring tools which include Prometheus, Grafana, New Relic, or Datadog to tune database health and basic overall performance.
- Ability to perform overall performance tuning, troubleshoot sluggish queries,s, and address bottlenecks that affect database ordinary overall performance or availability.
Networking & Security:
- Understanding of networking basics (TCP/IP, DNS, firewalls) and the way they comply with database connectivity.
- Experience with VPNs, TLS, and strong connections among databases and applications.
Soft Skills:
Problem Solving & Troubleshooting:
- Strong analytical skills to diagnose and solve complex database-related issues under strain.
- Ability to work effectively in an immoderate-stakes manufacturing environment wherein uptime and reliability are essential.
Collaboration & Communication:
- Ability to work too well with improvement companies, network engineers, and DevOps corporations to select out and position into impact enhancements.
Capacity Planning & Scalability:
- Ability to carry out functionality planning to make certain that database structures can scale with developing site visitors and information quantity.
- Experience with automobile-scaling techniques and handling load balancing at some stage in dispensed databases.
Educational Background & Experience:
- Bachelor’s degree in Computer Science, Information Technology, or an associated area (or equal revel in).
- Three to five years of enjoy going for walks with database systems in manufacturing environments, with a focus on reliability, scalability, and automation.
- In precis, a database requires a mixture of technical database information, cloud know-how, and the capacity to automate and optimize database systems for maximum reliability and performance.
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