Senior Software Engineer

Role & responsibilities

We are building next gen eCommerce operations tool that provides real-time data, metrics, alerts, and the inherent capability for business to manage day to day operations. As a Senior Engineer, you will design, build, and operate resilient microservices on Microsoft Azure using Java (Spring Boot, Spring WebFlux/Reactive), integrating rich data and streaming pipelines across SQL Server, Apache Kafka, and Azure Databricks. You will act as a lead/architect on both transactional and analytical pipelines using Spark Structured Streaming and Delta Lake, alongside event driven microservices. Solutions will be secured via Azure Key Vault, monitored with Grafana, deployed on AKS, exposed through Azure API Management, and automated with GitHub Actions. You will collaborate with global product, platform, analytics, and security teams - acting as a technical anchor for best practices in performance, reliability, data engineering, and DevOps.

Key Responsibilities

Design & Development

• Build scalable, reactive microservices using Java 17+, Spring Boot, and Spring WebFlux.
• Design robust APIs using REST/JSON, OpenAPI/Swagger, including pagination, versioning, concurrency controls, and idempotency.
• Architect distributed systems optimized for high availability, resiliency, and low latency.

Data & Messaging

• Relational Data: Model and optimize OLTP schemas for SQL Server, including indexing, query tuning, partitioning, and transactional workloads.
• Event-Driven Systems: Develop Kafka producers/consumers, manage DLQs

Big Data & Streaming

• Build and maintain Azure Databricks pipelines supporting both batch and streaming workloads.
• Implement Spark Structured Streaming pipelines for ingestion, enrichment, aggregation, and stateful stream processing.
• Design and optimize Delta Lake architectures: ACID transactions, schema evolution, compaction (OPTIMIZE),ordering, and efficient lakehouse patterns.
• Partner with analytics and ML teams on data modeling, feature engineering, and data quality frameworks.

Work Location: Bangalore