We are looking for a skilled Sr. Software Engineer - Backend with expertise in java, graph databases (e.g., TigerGraph, Neo4j), Snowflake, and event-driven architectures to build scalable APIs and real-time decisioning systems. You will be responsible for designing and developing high-performance data services, integrating multiple data sources, and implementing real-time processing pipelines using even-driven technologies.
Key Responsibilities:
Design, develop, and maintain backend services that integrate graph databases and Snowflake for real-time analytics.
Develop restful APIs to expose insights from graph databases to downstream applications and decisioning engines.
Design and implement event-driven services using Kafka or similar technologies to process real-time data.
Optimize query performance across both databases (graph and Snowflake) for low-latency access.
Collaborate with data scientists, ML engineers, and other developers to support data modeling efforts and to improve and expand our graph-based systems.
Deploy and manage cloud-based solutions using AWS (Lambda, S3, EKS, SageMaker, etc.).
Implement CI/CD pipelines to automate builds, testing and deployments.
Monitor and troubleshoot production issues, ensuring high availability and resilience.
Minimum Requirements:
Bachelor’s degree in computer science, engineering, or related field.
5+ years of experience in backed development using Java or Scala programming languages.
Strong knowledge of event-driven architectures (Kafka, RabbitMQ, etc.).
Hands on experience with AWS services (Lambda, S3, EKS, SageMaker, etc.).
Proficiency in SQL.
Familiarity with containerization and orchestration (Docker, Kubernetes).
Familiarity with microservices architectures and distributed systems.
Excellent analytical, problem-solving, and communication skills.
Ability to work effectively in a cross-functional team environment and collaborate with. stakeholders from various disciplines.
Bonus Qualifications:
Master’s degree in computer science, engineering, or related field.
Expertise with TigerGraph and optimizing queries (using GSQL) for large-scale graph traversals.
Knowledge of streaming frameworks (Apache Flink, Spark Streaming, etc.).
Expertise with Spring framework (Spring MVC, Spring Integration, Spring Batch).