Build backend systems for a platform that helps financial analysts monitor U.S. market integrity, processing billions of daily market events in a greenfield architecture.
Responsibilities
Design, develop, test, implement, and support technical solutions within an Agile development environment utilizing distributed microservices architecture and big data technologies (Hive, Presto, Spark, Hadoop)
Build and maintain high-performance API platforms on AWS infrastructure adhering to AWS Well-Architected Framework principles
Partner with cross-functional teams to understand application requirements and test scenarios, delivering scalable technical solutions
Leverage AI tools and technologies (such as Kiro or similar) to enhance development efficiency, code quality, and solution innovation throughout the full software development lifecycle
Drive technical innovation by staying current with emerging technology trends, including AI/ML advancements
Requirements
Bachelor's degree in computer science, Information Technology, Engineering, or related technical field
Lead backend engineering for a platform helping financial analysts monitor U.S. market integrity, built on one of the largest financial regulatory datasets in the cloud. You will guide technical approach of the team, remove engineering impediments, mentor engineers, and drive delivery across the full project lifecycle — bridging hands-on engineering with technical leadership.
Responsibilities
Lead design, development, and delivery of solutions using distributed microservices and big data technologies (Hive, Presto, Spark, Hadoop) on AWS
Serve as the technical authority for big data performance — diagnosing bottlenecks and guiding the team on complex system-level issues at scale
Own end-to-end project delivery and proactively remove engineering impediments — technical, process-related, or cross-team
Translate business requirements into clear technical road maps and actionable work for the engineering team
Mentor engineers through code reviews, constructive feedback, and enforcement of engineering best practices
Requirements
Bachelor's degree in computer science, Engineering, or related field
Provide technical support, implementation assistance, testing and performance benchmarking, infrastructure and architecture consulting, and training to clients and internal teams.
Responsibilities
Support the deployment of client solutions on production infrastructures, both on-premises and in the cloud, tailored to their business needs.
Provide day-to-day technical support to ensure Murex clients achieve high levels of technical satisfaction.
Develop and execute performance testing to ensure optimal application performance.
Use standard monitoring and performance analysis tools to identify bottlenecks, proposing and implementing solutions in collaboration with product development teams when required.
Deliver technical and architecture training to Murex clients to strengthen their support capabilities.
Responsible for emulation and prototyping of complex chip designs, collaborating with design, verification, and software teams to enable embedded and application software development.
Responsibilities
Define methodology and craft infrastructure for rapid hardware emulation of large chips
Collaborate with design, verification, and software engineers to enable embedded and application software development
Connect emulator/FPGA solutions to external hardware or virtual targets, managing complex testbenches and protocols
Perform RTL design, verification, FPGA partitioning and implementation, scripting, and lab-based bring-up of designs
Requirements
BSC or MSC in Electrical Engineering or Computer Science
Develop and support custom Salesforce components, integration solutions, ETL processes, and automation scripts for Morgan Stanley’s Sales and Service teams.
Compensation
Expected base pay rates for the role will be between $171,000 and $171,000 per year at the commencement of employment.
Responsibilities
Customize and configure Salesforce platform
Build custom components and features for Sales and Service team
Design, implement, and maintain end-to-end integration solutions
Build and manage APIs, middleware, and batch jobs
Develop customized software solutions for Salesforce platform
Requirements
Master’s degree in Applied Computer Science, Information Technology, or a related field
Job Position: Data Engineering
Job Location: Whippany NJ Hybrid , 3 days in office
Job Duration: Long Term Contract
Role Descriptions: oStrong SQL and Python.oUnix/Shell Scripting expertiseoSpark/PySpark experienceoCloud Data Engineering (AWS/Azure)oData Pipeline Design & Eligible to workimizationoTech Debt Remediation exposureoProduction Support and RCA experienceoBFSI domain exposure (preferred) oCI/CD and Automation mindset
Essential Skills: oStrong SQL and Python.oUnix/Shell Scripting expertiseoSpark/PySpark experienceoCloud Data Engineering (AWS/Azure)oData Pipeline Design & Eligible to workimizationoTech Debt Remediation exposureoProduction Support and RCA experienceoBFSI domain exposure (preferred) oCI/CD and Automation mindset
Skills: PL/SQL~Unix Shell Scripting and text processing tools
Experience Required: 8-10
• Top 3 Required Skills:
1. APIs/integration, data, infrastructure, security, DevSecOps
• Java, Spring Boot, REST APIs, microservices and distributed architectures, including framework upgrades
Informatica powercenter with TeradataNewCLOUDSCOUTS SOFTWARE SOLUTIONS LLC · Remote