Role Description State of Texas residency required. Responsible for delivering cloud data management solutions to customers. - Support solution architects, business analysts, and data engineers on data initiatives. - Work with stakeholders to define technical requirements. - Partner with Solution Architects to design solution framework and build integrations. - Collaborate with onshore and offshore project teams in Agile, Scrum, or Waterfall solution design and execution. - Define systems integrations, design patterns, and development standards to support cross-functional, multi-system solutions that are scalable and flexible. - Analyze and translate business requirements using frameworks into components of a modernized solution. - Reuse and enhance digital modernization assets, methods, and collateral. - Design and develop automated solutions in accordance with enterprise leading practices and design principles. - Participate in design reviews to ensure they meet automation policies and design principles. - Develop efficient, well-structured, reusable, and scalable automation processes and integrations. - Perform code reviews and write unit and integration tests based on chosen DevOps frameworks. - Analyze and resolve automation software issues. - Identify and communicate risks associated with integration solutions and process automation candidates. - Provide guidance to junior resources on best practices and development techniques for automated processes. - Accountable for the testing of integrations solutions. Qualifications - Bachelor's degree in Information Technology, Computer Science, or related field. - 5 years of experience in the following: - Integrating with Cloud/SaaS applications, APIs, SDK of packaged applications and legacy applications. - MuleSoft's CloudHub, DataWeave, Anypoint MQ. - Deploying/managing Mule flows to CloudHub. - JSON, XML, XSD, and other data payload formats. - REST/SOAP paradigm and sync/async integration design and architecture. - Writing unit and integration tests with testing frameworks such as Junit, Jmeter, Munit, or similar technologies. - Working with API testing Tools like SOAPUI, Postman, etc. - Agile methodologies and source control (Bitbucket, GitHub, ADO). - Implementing security aspects including API security, authentication, authorization, message & transport level security. - API Management tools using MuleSoft API Manager or others. - Configuring VPC and dedicated load balancer on Anypoint platform. - Certification in MuleSoft required. Requirements - Up to 20% domestic travel required. - Telecommuting permitted. - Residency in the state of Texas is required.

• Build and maintain data extracts from legacy platforms to support conversion into Oracle Fusion • Analyze legacy data sources, tables, fields, relationships, and business rules needed for migration • Partner with functional and technical teams to define source-to-target mappings and extraction requirements • Support data deduplication efforts to eliminate redundancies and improve data quality before load • Cleanse, transform, standardize, and prepare data for conversion into Oracle Fusion • Generate extract files, staging datasets, or load-ready templates for mock and production conversion cycles • Perform end-to-end reconciliation between legacy and target platforms to validate data accuracy, completeness, and integrity • Investigate data discrepancies, rejected records, duplicate values, mapping issues, and conversion defects • Document extraction logic, transformation rules, reconciliation results, known exceptions, and issue resolution steps • Support mock conversions, validation cycles, UAT support, production cutover, and post-conversion stabilization • Collaborate with existing application teams to reduce disruption to ongoing legacy application support • Provide data analysis and reporting support to help stakeholders understand conversion status, risks, and readiness • Assist with cutover planning by validating final extracts, confirming data quality, and supporting production load activities • Help ensure that data conversion work is repeatable, auditable, and aligned with Oracle Fusion migration requirements

Role Description We are seeking an experienced Quant Developer (FinTech) to build low-latency, high-reliability trading, risk, and analytics systems for fintech applications. In this role you will partner closely with quants and traders to translate mathematical models into production-quality software that meets strict performance, accuracy, and operational requirements. The ideal candidate will combine strong software engineering skills with solid quantitative fundamentals and deep familiarity with financial markets, instruments, and risk management practices. - Work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions. - Raise the bar through code review, design review, and mentorship of more junior engineers. - Bring strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production. Qualifications - Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, or a related quantitative discipline. - Six or more years of software engineering experience, with significant time in fintech. - Strong programming skills in C++, Java, or Python (preferably more than one). - Solid grounding in financial markets, instruments, and basic quantitative methods. - Hands-on experience building low-latency, high-throughput systems. - Experience with market data systems and FIX protocol implementations. - Strong understanding of risk and P&L attribution. - Experience with high-performance computing patterns and concurrency. - Excellent debugging, profiling, and performance-tuning skills. - Strong communication and documentation skills. Requirements - Design and implement low-latency trading, pricing, and risk systems in C++, Java, or Python. - Translate quantitative models from prototypes (often in Python or MATLAB) into production-quality implementations. - Build robust market data ingestion and normalization pipelines for high-volume tick data. - Develop pricing libraries for derivatives and structured products, with rigorous testing against analytical benchmarks. - Implement risk engines, P&L attribution systems, scenario analysis tools, and stress-testing capabilities used by traders, risk managers, and quants. - Profile and optimize critical-path code for latency and throughput. - Build comprehensive backtesting and simulation infrastructure. - Collaborate closely with quants, traders, and risk officers to refine models and tooling. - Implement regulatory and compliance reporting workflows. - Ensure full observability of trading systems with appropriate logging, metrics, and audit trails. - Lead incident response for trading-critical issues. - Maintain comprehensive, current technical documentation. - Mentor junior engineers and contribute to engineering culture in the team. Benefits - Competitive base salary commensurate with experience, plus benefits. - 100% remote work opportunity. - Long-term, multi-year engagement aligned to the Bright Vision SOW delivery roadmap.

• Design, develop, and maintain software solutions in a legacy MUMPS / Caché environment • Perform coding, unit testing, and debugging to support ongoing system enhancements and maintenance • Collaborate with business analysts to translate requirements into technical solutions and provide support for requirements analysis • Support system, integration, and user acceptance testing • Participate in Beta (IOC) testing activities with active medical centers, including issue resolution • Provide ongoing production support and troubleshooting for deployed applications • Provide documentation of technical designs, processes, and system behavior • Work independently and collaboratively within a cross-functional team to meet project deadlines