Lead Software Engineer - Java

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Design, build, and maintain efficient, reusable, and reliable Scala code
• Ensure the best possible performance, quality, and responsiveness of the application
• Design and implementation of low-latency, high-availability, and performant applications
• Design, develop, test, and implement Big Data solutions using Apache Spark
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
  Adds to team culture of diversity, equity, inclusion, and respect

Required Qualifications, Capabilities, and Skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on programming/application development experience JAVA 8, Spring Boot, REST/API. Proficiency in SQL/Hibernate, Messaging (MQ & Kafka), application performance testing and tuning, Agile
• Experience in Spark, Scala, Python writing reusable, testable, and efficient code
• Experience in working with one search engine [Elastic search, OpenSearch].
• Experience in building applications with microservices patterns and being cloud native.
• Good knowledge of AWS offerings (S3, EC2, RDS, Terraform etc).
• Good knowledge of Docker, Kubernetes.
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc )

Preferred Qualifications, Capabilities, and Skills

• Knowledge of API protocols and development methodologies.
• Familiarity with Banking core modules.
• Strong knowledge in automated build and testing tools like Jenkins, JMeter, Cucumber, Cypress.
• Experience in engineering solutions for metrics gathering/publishing and event collection/correlation across distributed architectures, automation, monitoring, intelligent alerting, random fault injection (Chaos Engineering), and self-healing.