Senior Software Engineer - Backend & Data

We are seeking a highly experienced and skilled Senior Software Engineer to join our backend and data team. This role is crucial for designing, building, and optimizing distributed data pipelines, real-time data processing systems, and backend solutions that handle large-scale data effectively. The ideal candidate will have deep expertise in Java, distributed systems, and big data technologies, as well as a passion for solving complex problems and delivering robust solutions. We're always in build mode because we're a company of data-focused builders. Every day, you'll look at what exists and find ways to make it better.

The core responsibilities for the job include the following:

Design and Development:

• Architect, develop, and maintain scalable backend systems.
• Build distributed data pipelines for batch and real-time data processing.
• Design efficient and scalable systems that process large volumes of data.

Big Data Expertise:

• Leverage big data technologies such as Apache Spark, Kafka, Flink, and related tools to build high-performance data pipelines.
• Work on data transformation, ingestion, and integration for both structured and unstructured data.
• Implement solutions for data lake and data warehouse integrations.

Real-Time Processing:

• Develop and maintain real-time data processing applications to support business-critical use cases.
• Optimize real-time data flows for low latency and high throughput.

Java Expertise:

• Write clean, efficient, and reusable code in Java, adhering to industry best practices.
• Optimize Java applications for performance, scalability, and reliability.
• Leverage Java frameworks such as Spring Boot for backend development.

Monitoring and Optimization:

• Monitor, troubleshoot, and optimize backend and data systems to ensure high availability and reliability.
• Design and implement performance tuning strategies for large-scale distributed systems.

Requirements:

• 7+ years of experience in backend development and distributed data processing.
• Proven expertise in designing and building scalable systems with Java.
• Hands-on experience with big data technologies such as Spark, Kafka, and Flink.
• Proficiency in Java and Java-based frameworks (Spring, Spring Boot, etc. ).
• Strong understanding of distributed systems and microservices architecture.
• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Knowledge of SQL and NoSQL databases (e. g., DynamoDB or Aerospike).