- Work within Scrum-based system development methodologies to build complex applications.
- Leverage your deep understanding of technology, tools, and existing designs to develop robust solutions.
- Analyze highly complex business requirements and translate them into detailed functional system designs.
- Serve as a high-level individual contributor and lead development projects, collaborating with technology partners, Principal Engineers, and architects.
- Provide post-production support and troubleshoot technical issues as they arise.
- Develop comprehensive documentation including departmental procedures, training materials, and user guides.
- Ensure that quality, security, business continuity, and compliance requirements are met and documentation
Hands-on experience with:
- Java (Java 8 and above)
- Spring Boot
- Microservices
- React
- MongoDB
- Kafka
- Junit
Job Responsibility:
- Additional technical design experience with strong competencies in HTML, CSS, JavaScript, REST API development, Gradle, and NoSQL databases.
- Strong verbal, written, and interpersonal communication skills with the ability to multi-task in a fast-paced environment.
- Excellent analytical, decision-making, and troubleshooting skills, with experience creating work estimates and exposure to database data modeling.
- Familiarity with source control tools like GitHub.
- Financial services/payments industry experience is highly desired, particularly in domains such as Home Equity Lines and Loans, Personal Loans, Credit Cards, Retail Loans, Business Loans, Automobile, and Educational Loans.
- An industry-standard Java certification is a plus.
- Experience with modern technology stacks including Angular/React, CI/CD pipelines, Docker, Kubernetes, Splunk, AppDynamics, Selenium, Cloud Technologies (PCF/Azure), Oracle, MSSQL, and MongoDB.
- Knowledge of additional technologies such as the Hadoop Ecosystem, Big Data tools (Spark, Kafka, Sqoop, Flume), programming languages like Python and SQL, data warehousing concepts (Apache Hive, Impala), NoSQL databases (Cassandra, Couchbase), and cloud platforms (AWS, Google Cloud Platform, Azure).