Lead Software Engineer

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!

• Excellent programming and designing skills with 8+ years of hands-on experience in Java back-end development and skills with Spring-boot framework.
• Should be able to independently design moderate to a complex modules with solid code quality
• Understand data structures and algorithms
• Innovative thinker and adept at building high-performance application
• Messaging middleware using Kafka .
• Strong Java programming skills including object-oriented design, prototyping, development, testing, profiling, etc.
• Knowledge of Docker, Kubernetes, Jenkins, and related CI/CD tools
• Ability and skill to debug & solve complex issues in a high-performing environment
• 5+ years of relevant experience in design and architecture Big Data solutions using Spark 
• 3+ years experience in working with engineering resources for innovation. 
• 5+ years experience in understanding Big Data events flow pipeline. 
• In depth experience in Data lakes and related ecosystems. 
• In depth experience in giving requirements to build a scalable architecture for Big data and Micro-services environments. 
• Knowledge in Presto technology. 
• Knowledge in Airflow. 
• In depth understanding of RDBMS/NoSQL, Oracle , Cassandra , Kafka , Redis, Hadoop, lambda architecture, kappa , kappa ++ architectures with flink data streaming and rule engines 
• Experience in working with ML models engineering and related deployment. 
• Design and implement secure big data clusters to meet many compliances and regulatory requirements. 
• Experience in leading the delivery of large-scale systems focused on managing the infrastructure layer of the technology stack. 
• Strong experience in doing performance benchmarking testing for Big data technologies.
• AI native engineer with big data engineering development skills
• Strong troubleshooting skills. 
• Experience leading development life cycle process and best practices 
• Experience mentoring/training the engineering community on complex technical issue. 

• Strong hands-on experience with Trino (formerly PrestoSQL) for distributed SQL analytics.
• Ability to design and optimize Trino-based query architectures across large-scale data lakes.
• Expertise in Trino performance tuning and workload optimization.
• Experience integrating Trino with Hive/Iceberg/Parquet-based lakehouse ecosystems is highly preferred.