Lead Software Engineer responsible for designing, architecting, and delivering a high-performance Enterprise Fee Calculation and Billing Platform for Citi’s Markets Operations Technology.
Compensation
$94,300.00 - $141,500.00
Responsibilities
Design and architect the Enterprise Fee Calculation and Billing Platform
Deliver high-performance, scalable microservices
Implement CI/CD pipelines and DevOps practices
Develop and maintain core Java applications
Integrate with Spring Framework, Hibernate, and other enterprise frameworks
Requirements
Bachelor’s degree/University degree or equivalent experience
Assist with analog and digital design and verification of mixed-signal IP using the Cadence suite of tools across various SoC scenarios and develop testbenches for power management circuits.
Compensation
LocationIndicative salary range Austin TX, United StatesWage range that the company expects to pay for a qualified candidate:US $ 21.00 – US $36.00Hourly rate will depend on the highest level of education completed.
Responsibilities
Design Support: Assist with analog and digital design and verification of mixed-signal IP using the Cadence suite of tools across various SoC scenarios
Testbench Development: Create mixed-signal testbenches and execute simulations for digital multiphase buck controllers, integrated power stages, and voltage regulator designs
Functional Verification: Perform functional verification of power management circuits including digital multiphase buck controllers and integrated power stages
Silicon Evaluation: Conduct bench-level silicon evaluation to characterize IC performance, document results, and prepare structured validation reports
Constrained Random Verification: Develop scalable and reusable constrained random testbenches using System Verilog and UVM object-oriented methodologies
Analyze, design, develop, and support enterprise data management solutions, Big Data platforms, ETL/ELT pipelines, and data integration processes.
Compensation
Pay: $50-$60/hr
Responsibilities
Analyze, design, develop, and support enterprise data management solutions, Big Data platforms, ETL/ELT pipelines, and data integration processes.
Collaborate with business stakeholders, data architects, and engineering teams to gather, analyze, and translate business requirements into functional and technical specifications.
Perform system analysis, impact assessments, gap analysis, data mapping, and source to target transformation analysis across enterprise data platforms.
Design, develop, and enhance large scale data processing solutions using Databricks, Apache Spark, PySpark, Python, Hadoop/HDFS, Hive, and Azure Data Factory (ADF).
Analyze and support Databricks notebooks, Spark jobs, Delta Lake tables, and Lakehouse data processing workflows.
Perform system analysis, impact assessments, gap analysis, data mapping
Design, develop, and enhance large scale data processing solutions using Databricks, Apache Spark, PySpark, Python, Hadoop/HDFS, Hive, and Azure Data Factory
Analyze and support Databricks notebooks, Spark jobs, Delta Lake tables, and Lakehouse data processing workflows
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