Staff Database Engineer - MongoDB, SQL, Kafka (Karnataka)

We are seeking a highly skilled Software Engineer to own and support all SQL, Kafka, and AMQ-related responsibilities within our engineering ecosystem. This role is ideal for someone who thrives in data-driven environments, understands distributed messaging systems, and can deliver reliable, scalable data solutions across the organization. Responsibilities:
- Design, write, and optimize complex SQL queries, stored procedures, and database schemas to support application and analytics needs.
- Monitor database performance, identify bottlenecks, and implement tuning strategies (indexes, query restructuring, partitioning).
- Ensure data integrity, consistency, and security across all SQL-related operations, including backups, migration scripts, and auditing.
- Build, maintain, and scale Kafka topics, partitions, schemas, and consumer/producer configurations.
- Develop and optimize Kafka producers and consumers, ensuring reliable, high-throughput, low-latency streaming pipelines.
- Implement monitoring, alerting, and troubleshooting for Kafka clusters, including lag analysis and message flow diagnostics.
- Manage and configure AMQ messaging components (queues, topics, durable subscriptions) to support asynchronous workflows.
- Develop and maintain message producers/consumers for AMQ, ensuring resilient delivery, retry logic, and error-handling patterns.
- Oversee reliability, observability, and fault-tolerance of all messaging systems (Kafka and AMQ), including failover, scaling, and disaster recovery considerations.
- Collaborate with cross-functional teams to design event-driven architectures, ensure proper data contracts, and integrate SQL/Kafka/AMQ components into larger platform services. Qualifications
- Basic Qualifications:5+ years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e g
- Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience
- Preferred Qualifications:5+ years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e g
- Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience
- 6+ years of professional software engineering experience with a solid focus on backend or data intensive systems
- Expert level proficiency in SQL, relational database design, and performance tuning techniques (indexing, partitioning, query optimization)
- Hands on experience managing and operating Kafka clusters, including topic configuration, consumer groups, schema management, and throughput optimization
- Strong experience building and maintaining Kafka producers and consumers using languages such as Java, Python, Go, or Scala
- Solid experience with AMQ or comparable messaging platforms (ActiveMQ, AMQ Artemis, Red Hat AMQ), including queue/topic configuration and message flow troubleshooting
- Deep understanding of distributed systems concepts such as event driven architecture, message delivery guarantees, and high availability design
- Proficiency with monitoring and observability tools (Prometheus, Grafana, Datadog, Splunk) for diagnosing SQL and messaging system performance
- Experience working with CI/CD pipelines and containerized environments (Docker, Kubernetes) for deploying data and messaging services
- Strong problem solving skills with the ability to debug complex system interactions across databases, messaging layers, and application code
- Excellent communication and collaboration skills, with the ability to work cross functionally and document architectural decisions clearly Apply on Kit Job: kitjob.in/job/4lt2rd