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We are looking for a Backend Developer (SDE) with robust data engineering exposure to join our engineering team. In this role, you will be responsible for designing, building, and maintaining high-performance backend microservices and large-scale data processing pipelines.

The ideal candidate will have robust problem-solving skills, deep technical hands-on experience in Java, Scala, or Kotlin, and practical experience with Apache Spark or PySpark for distributed data processing.

Key Responsibilities :

- Backend Development: Design, develop, and maintain high-throughput, low-latency microservices and scalable RESTful APIs.
- Data Processing & Pipelines: Architect, build, and optimize large-scale batch and real-time data processing workflows using Apache Spark / PySpark.
- Distributed Systems: Work on high-volume, distributed computing architectures to ensure high availability, fault tolerance, and efficiency.
- Integration: Seamlessly integrate backend services with data lakes, data processing pipelines, and third-party systems.
- Performance Tuning: Optimize application logic, database queries, and distributed data processing engine configs for maximum speed and scalability.
- Quality & Engineering Standards: Follow engineering best practices including unit/integration testing, CI/CD automation, code reviews, and low-level/high-level system design.




- Cross-Functional Collaboration: Partner with data engineers, product managers, and infrastructure teams to deliver resilient, end-to-end features.

Key Requirements :

- Experience: 5 to 9 years of hands-on experience in core backend engineering and data processing.
- Core Programming: Strong, hands-on programming expertise in Java, Scala, or Kotlin.
- Distributed Computing: Practical, hands-on experience with Apache Spark or PySpark in a production environment.
- Frameworks & Architecture: Good command of Spring Boot / Microservices architecture, REST APIs, and asynchronous message queues (e.g., Kafka/RabbitMQ).
- Computer Science Fundamentals: Deep understanding of Data Structures, Algorithms, Multi-threading, and Object-Oriented / Functional Programming principles.
- Data Engineering Exposure: Solid grasp of ETL/ELT pipeline design, data modeling, and handling high-volume datasets.

Good to Have / Desired Skills :

- Experience with Google Cloud Platform (GCP) or other major cloud providers (AWS / Azure). (GCP preferred)
- Hands-on experience with containerization and orchestration tools like Docker and Kubernetes.
- Familiarity with modern CI/CD tools, monitoring, and observability frameworks (e.g., Prometheus, Grafana, ELK).

📌 Software Development Engineer - Backend Technologies (India)
🏢 SCALING THEORY TECHNOLOGIES
📍 India