Backend Engineer (Data Infrastructure & Database Engineering)
Location: On-site
Experience: 2–4+ Years (Flexible based on capability)
Employment Type: Full-Time
About the Role
We are looking for a highly skilled Backend Engineer with strong expertise in database engineering, scalable backend architecture, and high-performance data systems. The ideal candidate should have hands-on experience designing and managing large-scale backend services with a focus on PostgreSQL, TimescaleDB, data pipelines, analytics infrastructure, and distributed systems.
You will work on building robust backend infrastructure capable of handling high-throughput workloads, real-time processing, and complex data operations.
Key Responsibilities
Backend Development
- Design, build, and maintain scalable backend services and APIs.
- Develop high-performance microservices and distributed systems.
- Build secure, fault-tolerant, and observable backend architectures.
- Optimize application performance and system reliability.
Database Engineering
- Design and manage production-grade PostgreSQL environments.
- Architect and optimize Timescale DB for time-series and analytical workloads.
- Implement indexing strategies, partitioning, query optimization, and performance tuning.
- Design schemas for large-scale structured and semi-structured datasets.
- Configure replication, backup, disaster recovery, and failover mechanisms.
Data Infrastructure
- Build and maintain ETL/ELT pipelines.
- Work with real-time and batch processing systems.
- Develop data ingestion and transformation frameworks.
- Manage high-volume data storage and retrieval systems.
System Architecture
- Design scalable cloud-native architectures.
- Implement monitoring, logging, and observability.
- Ensure high availability and low-latency system performance.
- Participate in architecture reviews and technical decision-making.
Required Skills
Backend Technologies
- Strong experience with one or more:
- RUST
- Golang
Databases
- Expert-level PostgreSQL
- Strong experience with TimescaleDB
- Database tuning and optimization
- Query execution analysis
- Data modelling and schema design
- Partitioning and indexing
- Replication and clustering
Data & Infrastructure
- REST APIs / GraphQL
- Message queues (Kafka, RabbitMQ, Redis Streams)
- Docker & containerization
- Kubernetes
- Linux administration
- Caching (Redis)
Cloud & DevOps
- AWS / GCP / Azure
- CI/CD pipelines
- Infrastructure as Code
- Monitoring tools:
- Grafana
- Prometheus
- ELK Stack
Additional Preferred Experience
- Real-time analytics platforms
- Financial data infrastructure
- Time-series analytics
- Blockchain / market data systems
- Event-driven architecture
- Data warehousing concepts
Qualifications
- Bachelor’s/Master’s in Computer Science, Engineering, or equivalent experience.
- 2-4+ years of backend engineering experience.
- Strong understanding of software engineering principles and system design.
- Experience handling production workloads at scale.
Nice-to-Have
- Experience building data platforms
- Knowledge of Apache Spark / Flink
- Experience with ClickHouse
- Experience with AI/ML data infrastructure
- Open-source contributions
What Success Looks Like
- Build highly reliable backend systems.
- Maintain low query latency under scale.
- Deliver production-grade infrastructure with strong observability.
- Improve database efficiency and system throughput.
Bonus screening question:“Describe a production architecture you designed using PostgreSQL/TimescaleDB and explain how you handled scaling, retention, indexing, and performance bottlenecks.”
Pay: ₹450,000.00 - ₹500,000.00 per year
Work Location: In person
