Noida, Uttar Pradesh
Job Summary
Level 3 Engineer (Azure Cosmos DB – MongoDB API)\\\\r\\\\n1. Role Overview\\\\r\\\\nThe Level 3 (L3) Engineer for Azure Cosmos DB (MongoDB API) is responsible for advanced technical support, database administration, and performance optimization of mission-critical cloud database environments.\\\\r\\\\nThis role acts as the final escalation point (L3) for complex incidents and ensures high availability, scalability, and reliability of Cosmos DB (MongoDB API) workloads.\\\\r\\\\nL3 engineers operate with a high degree of ownership, driving root cause analysis, automation, and continuous improvement across database platforms. [careers.ca...gemini.com]\\\\r\\\\n________________________________________\\\\r\\\\n2. Key Responsibilities\\\\r\\\\nA. Production Support & Incident Management\\\\r\\\\n• Act as L3 escalation point for complex issues related to Cosmos DB (Mongo API)\\\\r\\\\n• Perform deep-dive troubleshooting, log analysis, and root cause analysis (RCA)\\\\r\\\\n• Ensure end-to-end incident lifecycle management (triage resolution RCA closure)\\\\r\\\\n• Provide 24x7 on-call support for critical production incidents\\\\r\\\\n L3 engineers typically handle the most complex technical issues escalated from L1/L2 teams [expertia.ai]\\\\r\\\\n________________________________________\\\\r\\\\nB. Database Administration (Cosmos DB / MongoDB API)\\\\r\\\\n• Manage and administer Azure Cosmos DB (Mongo API) clusters/instances\\\\r\\\\n• Perform capacity planning, data modeling, indexing, and query optimization\\\\r\\\\n• Configure replication, partitioning, and high availability setups\\\\r\\\\n• Ensure data integrity, backup, and disaster recovery mechanisms\\\\r\\\\n Mongo/Cosmos DB environments require expertise in replication, sharding, and performance tuning [JD - Azure Database | Word]\\\\r\\\\n________________________________________\\\\r\\\\nC. Performance Optimization & Reliability Engineering\\\\r\\\\n• Continuously monitor database performance, throughput (RU/s), and latency\\\\r\\\\n• Identify bottlenecks and implement performance tuning strategies\\\\r\\\\n• Optimize query performance, indexing strategy, and schema design\\\\r\\\\n• Ensure system performance, availability, and scalability SLAs\\\\r\\\\n________________________________________\\\\r\\\\nD. Automation & Monitoring\\\\r\\\\n• Develop automation scripts using PowerShell, Python, or Bash\\\\r\\\\n• Implement proactive monitoring using: \\\\r\\\\no Azure Monitor\\\\r\\\\no Log Analytics\\\\r\\\\no Application Insights\\\\r\\\\n• Build tools for alerting, diagnostics, and preventive maintenance\\\\r\\\\n________________________________________\\\\r\\\\nE. Collaboration & Continuous Improvement\\\\r\\\\n• Work closely with: \\\\r\\\\no Application teams\\\\r\\\\no DevOps teams\\\\r\\\\no Cloud/Infra teams\\\\r\\\\n• Provide technical guidance and mentorship to L1/L2 engineers [careers.ca...gemini.com]\\\\r\\\\n• Drive automation initiatives and process improvements\\\\r\\\\n________________________________________\\\\r\\\\nF. Governance, Security & Compliance\\\\r\\\\n• Ensure database security, encryption, and access controls (RBAC)\\\\r\\\\n• Maintain compliance with organizational and regulatory standards\\\\r\\\\n• Implement audit logging and operational documentation\\\\r\\\\n________________________________________\\\\r\\\\n3. Required Skills & Expertise\\\\r\\\\nCore Technical Skills\\\\r\\\\n• Strong experience in: \\\\r\\\\no Azure Cosmos DB (MongoDB API)\\\\r\\\\no MongoDB architecture & operations\\\\r\\\\n• Knowledge of: \\\\r\\\\no Data modeling (NoSQL)\\\\r\\\\no Indexing & query optimization\\\\r\\\\no Partitioning strategies\\\\r\\\\n• Hands-on with: \\\\
Key Responsibilities
Level 3 Engineer (Azure Cosmos DB – MongoDB API) 1. Role Overview The Level 3 (L3) Engineer for Azure Cosmos DB (MongoDB API) is responsible for advanced technical support, database administration, and performance optimization of mission-critical cloud database environments. This role acts as the final escalation point (L3) for complex incidents and ensures high availability, scalability, and reliability of Cosmos DB (MongoDB API) workloads. L3 engineers operate with a high degree of ownership, driving root cause analysis, automation, and continuous improvement across database platforms. [careers.ca...gemini.com] ________________________________________ 2. Key Responsibilities A. Production Support & Incident Management • Act as L3 escalation point for complex issues related to Cosmos DB (Mongo API) • Perform deep-dive troubleshooting, log analysis, and root cause analysis (RCA) • Ensure end-to-end incident lifecycle management (triage resolution RCA closure) • Provide 24x7 on-call support for critical production incidents L3 engineers typically handle the most complex technical issues escalated from L1/L2 teams [expertia.ai] ________________________________________ B. Database Administration (Cosmos DB / MongoDB API) • Manage and administer Azure Cosmos DB (Mongo API) clusters/instances • Perform capacity planning, data modeling, indexing, and query optimization • Configure replication, partitioning, and high availability setups • Ensure data integrity, backup, and disaster recovery mechanisms Mongo/Cosmos DB environments require expertise in replication, sharding, and performance tuning [JD - Azure Database | Word] ________________________________________ C. Performance Optimization & Reliability Engineering • Continuously monitor database performance, throughput (RU/s), and latency • Identify bottlenecks and implement performance tuning strategies • Optimize query performance, indexing strategy, and schema design • Ensure system performance, availability, and scalability SLAs ________________________________________ D. Automation & Monitoring • Develop automation scripts using PowerShell, Python, or Bash • Implement proactive monitoring using: o Azure Monitor o Log Analytics o Application Insights • Build tools for alerting, diagnostics, and preventive maintenance ________________________________________ E. Collaboration & Continuous Improvement • Work closely with: o Application teams o DevOps teams o Cloud/Infra teams • Provide technical guidance and mentorship to L1/L2 engineers [careers.ca...gemini.com] • Drive automation initiatives and process improvements ________________________________________ F. Governance, Security & Compliance • Ensure database security, encryption, and access controls (RBAC) • Maintain compliance with organizational and regulatory standards • Implement audit logging and operational documentation ________________________________________ 3. Required Skills & Expertise Core Technical Skills • Strong experience in: o Azure Cosmos DB (MongoDB API) o MongoDB architecture & operations • Knowledge of: o Data modeling (NoSQL) o Indexing & query optimization o Partitioning strategies • Hands-on with: o Azure Portal / CLI / ARM / Terraform o Monitoring tools (Azure Monitor / Logs) ________________________________________ Cloud & Platform Skills • Microsoft Azure services • Understanding of distributed systems & scalability • Experience with: o AKS / containers (preferred) o CI/CD pipelines o DevOps practices ________________________________________ Scripting & Automation • Python / PowerShell / Shell scripting • Automation of monitoring, alerting, and maintenance tasks ______________________________________
Skill Requirements
Level 3 Engineer (Azure Cosmos DB – MongoDB API) 1. Role Overview The Level 3 (L3) Engineer for Azure Cosmos DB (MongoDB API) is responsible for advanced technical support, database administration, and performance optimization of mission-critical cloud database environments. This role acts as the final escalation point (L3) for complex incidents and ensures high availability, scalability, and reliability of Cosmos DB (MongoDB API) workloads. L3 engineers operate with a high degree of ownership, driving root cause analysis, automation, and continuous improvement across database platforms. [careers.ca...gemini.com] ________________________________________ 2. Key Responsibilities A. Production Support & Incident Management • Act as L3 escalation point for complex issues related to Cosmos DB (Mongo API) • Perform deep-dive troubleshooting, log analysis, and root cause analysis (RCA) • Ensure end-to-end incident lifecycle management (triage resolution RCA closure) • Provide 24x7 on-call support for critical production incidents L3 engineers typically handle the most complex technical issues escalated from L1/L2 teams [expertia.ai] ________________________________________ B. Database Administration (Cosmos DB / MongoDB API) • Manage and administer Azure Cosmos DB (Mongo API) clusters/instances • Perform capacity planning, data modeling, indexing, and query optimization • Configure replication, partitioning, and high availability setups • Ensure data integrity, backup, and disaster recovery mechanisms Mongo/Cosmos DB environments require expertise in replication, sharding, and performance tuning [JD - Azure Database | Word] ________________________________________ C. Performance Optimization & Reliability Engineering • Continuously monitor database performance, throughput (RU/s), and latency • Identify bottlenecks and implement performance tuning strategies • Optimize query performance, indexing strategy, and schema design • Ensure system performance, availability, and scalability SLAs ________________________________________ D. Automation & Monitoring • Develop automation scripts using PowerShell, Python, or Bash • Implement proactive monitoring using: o Azure Monitor o Log Analytics o Application Insights • Build tools for alerting, diagnostics, and preventive maintenance ________________________________________ E. Collaboration & Continuous Improvement • Work closely with: o Application teams o DevOps teams o Cloud/Infra teams • Provide technical guidance and mentorship to L1/L2 engineers [careers.ca...gemini.com] • Drive automation initiatives and process improvements ________________________________________ F. Governance, Security & Compliance • Ensure database security, encryption, and access controls (RBAC) • Maintain compliance with organizational and regulatory standards • Implement audit logging and operational documentation ________________________________________ 3. Required Skills & Expertise Core Technical Skills • Strong experience in: o Azure Cosmos DB (MongoDB API) o MongoDB architecture & operations • Knowledge of: o Data modeling (NoSQL) o Indexing & query optimization o Partitioning strategies • Hands-on with: o Azure Portal / CLI / ARM / Terraform o Monitoring tools (Azure Monitor / Logs) ________________________________________ Cloud & Platform Skills • Microsoft Azure services • Understanding of distributed systems & scalability • Experience with: o AKS / containers (preferred) o CI/CD pipelines o DevOps practices ________________________________________ Scripting & Automation • Python / PowerShell / Shell scripting • Automation of monitoring, alerting, and maintenance tasks ________________________________________ Sup
Other Requirements
Level 3 Engineer (Azure Cosmos DB – MongoDB API) 1. Role Overview The Level 3 (L3) Engineer for Azure Cosmos DB (MongoDB API) is responsible for advanced technical support, database administration, and performance optimization of mission-critical cloud database environments. This role acts as the final escalation point (L3) for complex incidents and ensures high availability, scalability, and reliability of Cosmos DB (MongoDB API) workloads. L3 engineers operate with a high degree of ownership, driving root cause analysis, automation, and continuous improvement across database platforms. [careers.ca...gemini.com] ________________________________________ 2. Key Responsibilities A. Production Support & Incident Management • Act as L3 escalation point for complex issues related to Cosmos DB (Mongo API) • Perform deep-dive troubleshooting, log analysis, and root cause analysis (RCA) • Ensure end-to-end incident lifecycle management (triage resolution RCA closure) • Provide 24x7 on-call support for critical production incidents L3 engineers typically handle the most complex technical issues escalated from L1/L2 teams [expertia.ai] ________________________________________ B. Database Administration (Cosmos DB / MongoDB API) • Manage and administer Azure Cosmos DB (Mongo API) clusters/instances • Perform capacity planning, data modeling, indexing, and query optimization • Configure replication, partitioning, and high availability setups • Ensure data integrity, backup, and disaster recovery mechanisms Mongo/Cosmos DB environments require expertise in replication, sharding, and performance tuning [JD - Azure Database | Word] ________________________________________ C. Performance Optimization & Reliability Engineering • Continuously monitor database performance, throughput (RU/s), and latency • Identify bottlenecks and implement performance tuning strategies • Optimize query performance, indexing strategy, and schema design • Ensure system performance, availability, and scalability SLAs ________________________________________ D. Automation & Monitoring • Develop automation scripts using PowerShell, Python, or Bash • Implement proactive monitoring using: o Azure Monitor o Log Analytics o Application Insights • Build tools for alerting, diagnostics, and preventive maintenance ________________________________________ E. Collaboration & Continuous Improvement • Work closely with: o Application teams o DevOps teams o Cloud/Infra teams • Provide technical guidance and mentorship to L1/L2 engineers [careers.ca...gemini.com] • Drive automation initiatives and process improvements ________________________________________ F. Governance, Security & Compliance • Ensure database security, encryption, and access controls (RBAC) • Maintain compliance with organizational and regulatory standards • Implement audit logging and operational documentation ________________________________________ 3. Required Skills & Expertise Core Technical Skills • Strong experience in: o Azure Cosmos DB (MongoDB API) o MongoDB architecture & operations • Knowledge of: o Data modeling (NoSQL) o Indexing & query optimization o Partitioning strategies • Hands-on with: o Azure Portal / CLI / ARM / Terraform o Monitoring tools (Azure Monitor / Logs) ________________________________________ Cloud & Platform Skills • Microsoft Azure services • Understanding of distributed systems & scalability • Experience with: o AKS / containers (preferred) o CI/CD pipelines o DevOps practices ________________________________________ Scripting & Automation • Python / PowerShell / Shell scripting • Automation of monitoring, alerting, and maintenance tasks ________________________________________ Sup
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