DESCRIPTION:

Duties: Engage in all phases of the Software Development Lifecycle (SDLC), including requirement analysis, integrating architectural standards into application design specifications. Conduct code reviews to ensure solution is aligned with pre-defined specifications. Incorporate proper security and defined IT control policies throughout the whole software development process. Work on software testing, making sure results experienced are in line with business requirements. Deploy applications on public cloud platform for stability and resilience. Work on low latency and caching concepts to handle multi-million requests per day. Investigate application issues using logging and monitoring tools and performing Root Cause Analysis. Write SQL queries to extract data from relational databases for reporting and analysis. Store structured and un- structured data at volume in datalake, apply AI/ML models to analyze patterns in the data. Perform exploratory data analysis within large enterprise databases (Terabytes) to extract, clean, transform, and load data. Develop and automate large scale, high performance data processing systems to drive and improve product experience. Build scalable Spark data pipelines leveraging scheduler/executor framework. Design and build telemetry and usage tracking solutions to improve tool governance and monitoring. Work in globally distributed environment and communicate with global stakeholders. Manage delivery priorities effectively.

QUALIFICATIONS:

Minimum education and experience required: Bachelor's degree in Electronic Engineering, Computer Science, Computer Engineering, Computer Information Systems, or related field of study plus seven (7) years of experience in the job offered or as Software Engineer, Programmer Analyst, Technology Lead, Technology Analyst, or related occupation.

Skills Required: This position requires experience with the following: developing microservices using Java platform, Spring Core, Spring Boot, Spring Security, log4j, Hibernate, and JPA and be able to deploy in multiple environments using Jenkins and Spinnaker; deploying microservices in AWS public cloud platform and Cloud Foundry for resilience and scalability; utilizing Test automation using JUnit, Mocking, TDD, Checkmarx, Blackduck and SonarQube to uphold delivery quality standards; message processing with JMS, IBM MQ and Kafka for asynchronous business flows; utilizing Splunk, Dynatrace and Grafana tools, to be able to trace through any production issues; building applications that utilize JSON and XML formatted data files and service payloads for data transfer; applying Liquibase to audit tracking, commit and rollback of database changes; utilizing Redis and Gemfire to handle low latency requests; performing data manipulation, data structuring, data design flow and query optimization using programming language such SQL; exploring large amounts of data to uncover hidden information on customer behavior using Snowflake datalake; utilizing advanced techniques to process large data sets using data containers, multithreading, multiprocessing in PySpark using Python; and applying Machine Learning's Large Language Models using Scikit-learn to identifying security threats, personalization and recommendations, transcription and translation, data analysis and business predictions.

Job Location: 450 W 33rd St, New York, NY 10001.

Full-Time. Salary:  $187,900 - $260,000 per year.