Java AI

TCS•Austin, TX

3d•Onsite

About The Position

We are seeking a highly experienced Java AI professional with a strong background in designing and developing highly available, distributed, and scalable enterprise systems. The ideal candidate will have extensive experience with Java, MongoDB, and AI tools, as well as a deep understanding of microservices architecture, cloud deployments, and performance tuning. This role requires sharp troubleshooting skills and real-world systems deployment experience, along with strong leadership and communication abilities.

Requirements

10+ years of experience with Java.
5+ years of experience with MongoDB.
Hands-on experience with AI tools like RooCode and Claude.
Experience with SpringBoot, Redis, MongoDB, Kafka, and MicroServices architecture.
Experience with AWS deployments, scaling and EKS cluster management.
Experience with GIT, PR process, CICD Pipelines and deployments.
Experience and strong knowledge in developing high throughput, high performance, and zero downtime systems.
Experience in performance tuning of the applications including JVM tuning, memory profiling, deadlocks and heap analysis.
Strong knowledge of customer facing web application development, HTTP specs, Load-balancing and understanding of CDN.
Experience with Java test frameworks such as JUnit and testNG.
Familiarity with automated testing methodologies and frameworks.
Familiarity with template driven rendering and client and server side MVC architectures.
Familiarity with Splunk for investigating or monitoring problems on systems.
Thorough understanding of Software Development Lifecycle, tools and agile methodologies.
Sharp troubleshooting skills and real world systems deployment experience.

Nice To Haves

Self-starter, forward-thinking individual with strong leadership capabilities.
Ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams.

Responsibilities

Design and development of highly available, distributed and scalable enterprise systems.
Develop applications using SpringBoot, Redis, MongoDB, Kafka, and MicroServices architecture.
Manage AWS deployments, scaling, and EKS cluster management.
Utilize GIT, PR process, CICD Pipelines and deployments.
Develop high throughput, high performance, and zero downtime systems.
Performance tuning of applications including JVM tuning, memory profiling, deadlocks and heap analysis.
Develop customer-facing web applications, understanding HTTP specs, Load-balancing and CDN.
Implement Java test frameworks such as JUnit and testNG, and utilize automated testing methodologies and frameworks.
Implement template driven rendering and client and server side MVC architectures.
Use Splunk for investigating or monitoring problems on systems.
Apply thorough understanding of Software Development Lifecycle, tools and agile methodologies.
Troubleshoot and deploy real-world systems.