Advanced Software Engr
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LocationHyderabad, Telangana, India
Work modehybrid
Typefull-time
SenioritySenior
Experience8–12 yrs
DepartmentEngineering
Company size10,000+ people
First seenOct 17, 2026 · 2w ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
8–12 years of database engineering, DBRE, DBA, or related experience
5+ years of hands-on MongoDB production support experience
Deep expertise in replica sets, sharding, Atlas, replication, failover, query tuning, and aggregation framework
Strong PostgreSQL and Elasticsearch administration and performance tuning experience
Experience managing databases supporting enterprise SaaS applications and millions of records
Cloud experience on Azure, AWS, or GCP and strong Linux administration skills
Programming experience in .NET, Java, Python, JavaScript/Node.js, or similar technologies
MongoDB Certified DBA or Developer certification
MongoDB Atlas Vector Search, time-series collections, Ops Manager, or Cloud Manager experience
Experience with Kafka, Spark, Redis, Elasticsearch, Azure Cosmos DB, and database migrations
Background in SaaS, telemetry, IoT, or large-scale enterprise data platforms
Skills
MongoDB
PostgreSQL
Elasticsearch
Azure
AWS
GCP
Linux
.NET
Java
Python
JavaScript
Node.js
Kafka
Spark
Redis
Azure Cosmos DB
Ops Manager
Cloud Manager
Atlas
Here is the extracted job description content in markdown format:
**Job Description**
**Location:** Hyderabad
**Function:** Engineering / Platform & Data Infrastructure
About the Role
We are looking for a highly experienced Database Reliability Engineer (DBRE) with deep expertise in MongoDB, PostgreSQL, and Elasticsearch to own and support mission-critical database platforms serving enterprise SaaS applications. This role is not suitable for candidates with only development or basic DBA experience. The ideal candidate has extensive hands-on experience designing, operating, troubleshooting, and optimizing large-scale production environments containing millions of records, supporting 24x7 high-availability systems with strict uptime SLAs. The engineer will independently diagnose complex database failures, perform failovers, optimize performance under load, ensure business continuity, influence technical direction, and mentor junior engineers.
Responsibilities
Database Design & Architecture
•
Architect and implement scalable, high-availability MongoDB solutions including replica sets, sharded clusters, Atlas deployments, and disaster recovery architectures.
•
Design, implement, and manage MongoDB, PostgreSQL, and Elasticsearch environments across development, staging, and production.
•
Define schema design standards, sharding strategies, indexing approaches, data lifecycle management, and capacity planning.
Production Reliability & Operations
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Own 24x7 production database operations with accountability for uptime, reliability, and SLA compliance.
•
Diagnose and resolve complex database incidents, execute failovers, recovery activities, root-cause analysis, and business continuity procedures.
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Lead rolling upgrades, patching, migrations, and maintenance with minimal or zero downtime.
Performance & Optimization
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Analyze query patterns, design optimal indexes, tune aggregation pipelines, and eliminate bottlenecks.
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Monitor performance metrics and drive continuous improvements using profiler, explain plans, Atlas tools, and observability platforms.
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Optimize high-volume databases containing millions of records and heavy workloads.
Security & Reliability
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Implement RBAC, TLS/SSL, encryption, LDAP integration, auditing, backup, recovery, and disaster recovery strategies.
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Ensure enterprise-grade database security, resilience, and operational governance.
Leadership & Collaboration
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Define database best practices, review data models, and provide technical leadership.
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Mentor junior engineers and collaborate with development, platform, SRE, and DevOps teams.
Qualifications
Required Qualifications
•
8–12 years of database engineering, DBRE, DBA, or related experience.
•
5+ years of hands-on MongoDB production support experience.
•
Deep expertise in replica sets, sharding, Atlas, replication, failover, query tuning, and aggregation framework.
•
Strong PostgreSQL and Elasticsearch administration and performance tuning experience.
•
Experience managing databases supporting enterprise SaaS applications and millions of records.
•
Cloud experience on Azure, AWS, or GCP and strong Linux administration skills.
•
Programming experience in .NET, Java, Python, JavaScript/Node.js, or similar technologies.
Preferred Qualifications
•
MongoDB Certified DBA or Developer certification.
•
MongoDB Atlas Vector Search, time-series collections, Ops Manager, or Cloud Manager experience.
•
Experience with Kafka, Spark, Redis, Elasticsearch, Azure Cosmos DB, and database migrations.
•
Background in SaaS, telemetry, IoT, or large-scale enterprise data platforms.
Required Skills
•
MongoDB