Lead Specialty Software Engineer
Wells FargoAbout the role
About this role:
Wells Fargo is seeking a hands-on Lead Specialty Software Engineer to support our eTrading platform expands across multiple trading asset classes in Equities, FX, Rates and Spread. eTrading UI team is building a high-performant, low-latency multi-asset trading platform from grounds up running 24x5, consuming tens of millions of messages per second that serves over 500 clients. We are building a rich, unified trader desktop, on modern web technologies with no legacy code, backed by microservices and fully integrated with metrics instrumentation infrastructure.
We believe in writing re-usable, simple, performant and well-tested software. Hence, we invest and take time to build infrastructure, APIs, frameworks and tools that help us build such platforms that can scale with low maintenance cost
In this role, you will:
- Lead complex initiatives on selected domains
- Ensure systems are monitored to increase operational efficiency and managed to mitigate risk
- Define opportunities to maximize resource utilization and improve processes while reducing cost
- Lead, design, develop, test and implement applications and system components, tools and utilities, models, simulation, and analytics to manage complex business functions using sophisticated technologies
- Resolve coding, testing and escalated platform issues of a technically challenging nature
- Lead team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives
- Mentor less experienced software engineers
- Collaborate and influence all levels of professionals including managers
- Lead team to achieve objectives
- Partner with production support and platform engineering teams effectively
- Hands-on development role to build a high performant electronic trading UI and/or Micro-Services for multiple eTrading asset classes in Rates and FX and Spread
- Build APIs that integrate with Order Management Systems, ALGO, Smart Order Router, real-time Market data, Position Data, Pricing Engines, Offerings, RFQs, Reference Data, time-series data warehouse, and AI/ML platforms
- Delve into hardware tuning for high end eTrading UI
- Design and develop automated stress testing harnesses
- Participate in code review sessions, provide process improvements
- Adhere to Agile and SDLC processes
- R&D and proof-of-concept work on emerging technologies
- Work with team members in multiple geographical locations
Required Qualifications:
- 5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 5+ year of experience in Java/Spring Boot
- 1+ year of experience in JavaScript/Typescript, Angular, HTML5, or CSS
Desired Qualifications:
- Experience with OpenFin/Electron, and Ag-Grid
- Experience with any time series database like Prometheus, Influx, OneTick etc.
- Experience with building Desktop monitoring infrastructure
- Knowledge of Microservices architecture
- Domain knowledge of Macro, FX and Spread asset classes
- Strong verbal and written communication skills
- Experienced in building user friendly & ergonomic UI
- Solid understanding and working knowledge of core technology concepts in like networking, multi-threading, synchronization, data structures, algorithms, memory management, etc.
- Experienced in diagnosing performance bottlenecks and performance tuning
- Experienced in Windows/Linux programming environment, GitHub, Jenkins, UDeploy etc.
- Bachelor/Master’s degree in computer science or related discipline
- 5+ years of experience in building real time data, java services and messaging
Job Expectations:
- Position will require onsite presence at one of the required locations listed below in a hybrid work schedule
- This position is not eligible for Visa sponsorship
- Relocation assistance is not available for this position
Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of pr
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