Sr. Full-Stack Software Engineer, Studio
BNY Mellon Data and Analytics Solutions is a public- and private-cloud-based software and content offering that builds client-centric data, technology, and content capabilities. Operating with the skill and agility of a fintech, Data and Analytics Solutions combines the expertise and resources of the Eagle product suite, Intermediary Analytics, and other BNY Mellon technology and data assets. Moreover, the division further extends BNY Mellon’s Asset Servicing capabilities in securities and cash into the world’s most important asset class, data. Data and Analytics Solutions helps firms to analyze their data from different vantage points and transform it into actions that can achieve higher alpha and cheaper beta, with lower costs and less risk. Offering an ecosystem of proprietary and third-party business applications, Data and Analytics Solutions helps firms manage their core investment processes and beyond.
BNY Mellon Data Studio is a large part of the DNA product suite providing users with intuitive ways to glean value from their data by leveraging BI, Knowledge Graphs, Machine Learning and AI. We are very much at the beginning stages of a long journey.
We are seeking Full Stack Engineers of all levels (Jr-to-Principal Level) to help Architect/Design/Implement/Innovate Studio. You will use the latest technologies from Mobile to Cloud to create amazing customer focused SaaS products. Come help us re-imagine our solutions to provide world-class, best of breed solutions to delight our customers.
What You Will Do
- Own the code. You will be entrusted to bring forth unique/innovative solutions to challenging problems and own them from ideation through implementation.
- Work with Product Management, User Experience and clients to understand requirements and drive feature development
- Within an Agile environment, own the design, development, maintenance, testing strategy, and operations of API services written primarily in Python with SQL and NoSQL databases hosted in Azure.
- Care about agility and scalability – we work in a CI/CD environment and roll out products very quickly and we are building teams that can pivot quickly.
- Work with your team on design sessions and ensure your team delivers high quality work that aligns with BNY Mellon’s engineering strategy.
- Collaborate with engineering leads across the Data and Analytics solutions to define milestones and deliveries for new functionality as well as enhancements
You will be Successful If You:
- Have deep architectural knowledge of programming, design principles and data structures
- Design code that can be changed/refactored easily. This includes not only a design that allows for it but the unit tests to prove nothing will break
- Have experience in multiple languages and can articulate what you like/don’t like about them
- Have experience with distributed and big data computing technologies and Platforms
- Understand the importance of tests and CI/CD pipelines, SaaS technologies, and public cloud providers such as Azure or AWS.
MODIFIED BASED UPON LOCAL REGULATIONS/REQUIREMENTS Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required 7-9 years of experience in software development required; experience in the securities or financial services industry is a plus. Job holder must have understanding interdependencies and business impact of future IT plans. S/he must have prior lead experience selecting and implementing vendor-specific methodologies and prior consulting experience with structured methodologies. Extensive experience with developing and supporting mainframe applications required. Job holder must have broad experience with multi-platform development tools and toolkits.