Are you passionate about building robust, scalable, and high-performance database solutions? Do you want to be part of a growing technology organization that is shaping innovative products globally? Transond Systems is looking for a Senior Database Engineer to join our team and help power our next-generation software platforms.
Company Description
Transond Systems is a forward-thinking technology company with presence in Coimbatore, India , serving clients worldwide. We have a strong track record of building innovative platforms and we are now expanding our engineering team to scale globally.
Role Overview
As a Database Engineer, you will be responsible for designing, implementing, and optimizing databases that can handle high-throughput, low-latency, and globally distributed workloads. You will work closely with backend, data, and DevOps teams to ensure our systems are secure, resilient, and scalable.
Key Responsibilities
- Design, implement, and maintain highly available and scalable databases (SQL + NoSQL).
- Optimize schema design, indexing, and query performance for real-time charging workflows.
- Manage time-series data storage for charger telemetry and analytics.
- Support multi-tenant SaaS data architecture for global deployments.
- Ensure data integrity, backups, disaster recovery, and replication strategies.
- Work with data engineers to enable ETL pipelines, reporting, and analytics.
- Collaborate with backend engineers to ensure efficient API and microservices performance.
- Implement security best practices (encryption at rest, access controls, GDPR compliance).
- Monitor and troubleshoot database health, scaling, and cost optimization.
- Evaluate and integrate new database technologies where needed.
Required Skills & Experience
4–8 years of experience in database engineering, administration, or development.Strong expertise in SQL databases (PostgreSQL, MySQL, or similar).Hands-on experience with NoSQL / time-series DBs (MongoDB, Cassandra, InfluxDB, TimescaleDB).Proven skills in query optimization, indexing, and performance tuning.Experience with replication, sharding, clustering, and scaling.Familiarity with cloud-native databases (AWS RDS, DynamoDB, Aurora, BigQuery, etc.).Strong background in backup, recovery, and HA / DR strategies.Knowledge of data security, privacy, and compliance (encryption, GDPR).Proficiency in scripting (Python, Bash, SQL automation).Experience working with DevOps / CI-CD pipelines for database changes.Nice to Have
Exposure to real-time streaming pipelines (Kafka, Spark, Flink).Experience in multi-region database deployments for SaaS.Knowledge of IoT telemetry or observability related data flows.Familiarity with data warehousing and BI tools.Contributions to open-source database tools / monitoring frameworks.