Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
Develops secure and high-quality production code, and reviews and debugs code written by others
Drives decisions that influence the product design, application functionality, and technical operations and processes
Serves as a function-wide subject matter expert in one or more areas of focus
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
Influences peers and project decision-makers to consider the use and application of leading-edge technologies
Adds to the team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
Proficient in Java17+, JDK, Spring boot microservices, and developing REST APIs in any programming language/framework
Proven experience with modern frontend framework and libraries such as React, Redux, flux, HTML & CSS
Experience in implementing Authentication and Authorization in REST APIs
Knowledge in Docker and Kubernetes in a public cloud environment
Good experience on writing unit tests in Java and React JS for a highly complex enterprise environment.
Strong Database skills preferably with Oracle & DynamoDB and experience in tuning database queries, processing large amount of data will be great addition.
Familiarity with CI/CD pipelines and tools like Jenkins or GitLab for automating software delivery.
Able to design and implement solutions that work against high-volume data sources.
Practical experience of architecting & developing applications on any one of the major public cloud providers (AWS, Azure)
Understand business requirements, partnering with global stakeholders and product teams, and offering solutions, all the way from design to implementation, and rollout.
Exposure/ Experience with AI/ML techniques and advanced analytics
Preferred Skills
Java, Kubernetes and AWS certification is a plus
Proactively identify hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture