Skills Required: This position requires experience with the following: Designing, architecting, and building scalable, available, and fault-tolerant Event-driven microservices in AWS Cloud using Java, Springboot, Webflux, Monetaboot, Aurora PostgreSQL, Apache Kafka, Terraform, and AWS MSK and Reactive Programming; Designing, building, and integrating high throughput real-time data streaming applications using Spark Structure Streaming, Airflow, Parquet, Avro, Glue Schema Registry, and S3; Designing, building, and integrating high throughput Payment Processing and Ledgering Applications using PySpark, SparkSQL, S3, AWS Glue, Aurora MySQL, Glue Data Catalog, Airflow, and Avro; Designing and building software for performing and validating Double-entry Bookkeeping for payment transactions and enabling funding to merchants; Building and performing automated Functional testing using Cucumber, Performance testing using Blazemeter, Unit testing using Junit and Pytest, and User Acceptance Testing; Designing and developing Behavior Driven Development Tests to cover functional use cases; Improving scalability and efficiency of Spark applications using Spark system architecture, industry best practices, and scalability patterns; Developing, enhancing, and executing regression test scripts in Python for functional and infrastructural test scenarios; Designing and implementing AWS Step Function orchestration pipelines for state machine flows; Defining workflows, managing state transitions, and integrating AWS Lambda, AWS Glue, and AWS Event Bridge services; Automating the build, test, and deployment processes in AWS multi-region environments using Jenkins, Spinnaker, and Jules; Deploying, managing, and scaling containerized applications using Kubernetes, including orchestration, service discovery, and automated deployment processes to ensure efficient and reliable software operations; Incorporating observability into software during design and development for monitoring, alerting, and maintenance of applications post go live; Debugging and identifying root causes for functional and infrastructural issues using observability tools including Splunk, Datadog, and Grafana; Guiding projects from inception through deployment using Agile SDLC practices. QUALIFICATIONS: Minimum education and experience required: Master''s degree in Computer Science or related field of study plus 1 years (12 months) of experience in the job offered or as Software Engineer, Java Engineer, or related occupation.