The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.
Responsibilities:
Qualifications:
Education:
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Mandatory Skills:
Java Development Expertise:
Extensive hands-on experience in Java development, with a deep understanding of core Java concepts and design patterns.
Hands-on experience in Java, Spring MVC, Spring Batch and Spring Boot
RESTful APIs: Deep understanding and hand-on experince in RESTful APIs.
Relational Databases: Solid experience with relational databases such as Oracle and Sybase.
DevOps Practices:
Familiarity with DevOps practices and tools, including continuous integration, continuous delivery, and automated testing. Working experience in using DevOps Tools like BitBucket, GitHub, Jenkins, TeamCity, Tekton, Harness and uDeploy.
AI Tools: Usage of AI Tools such as Copilot, etc. in IDE in SDLC processes like development, SONAR fixes, addressing CVM issues, etc.
Preferred Skills:
Messaging & Event Platforms:
Hands-on experience in messaging and event platforms such as Solace, Kafka. Experience designing and implementing event-driven architectures.
RESTful APIs & Microservices: Deep understanding of RESTful APIs and microservice architecture. Experience building and deploying microservices in a cloud environment.
Distributed Systems Experience:
Experience in working on complex, distributed systems in a global context.
Hands-on experience in Distributed Cache like Redis, Hazelcast, etc. and Streaming frameworks like Apache Flink, Apache Spark, etc.
Understanding of distributed system concepts like fault tolerance and scalability.
Non-Relational Databases: Hands-on experience in NoSQL databases like MongoDB.
AI Adoption:
Working Knowledge of any AI Tools using established AI Models like Gemini, GPT, Claude, etc.
Involved in AI Adoption strategy and standardization of best practices in SDLC (Ex: Creating / Using AI Playbooks).
Experience in developing AI Agents.
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