Java Specialist

About Client :

Our Client is an 𝐀𝐈-𝐟𝐢𝐫𝐬𝐭, 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦-𝐥𝐞𝐝 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐂𝐨𝐦𝐩𝐚𝐧𝐲 headquartered in Pittsburgh. At the core is our mission to enhance lives by transforming businesses through innovation. We focus on applying next-generation technologies to solve complex challenges and accelerate enterprise transformation.With a global presence across 23 locations and a team of 4,200+ employees, including 1,000+ trained in AI and GenAI, we help organizations modernize through a unique blend of engineering excellence, proprietary IP, and proven execution models. Our delivery methodology is built on a strong operational framework and a mature governance model that fosters true partnership and joint ownership through equal investments.

• Job Title : Java Full Stack Lead
• Key Skills : Java ,Angular5 , Restfull API,Elastic Search, Microservices
• Job Locations : Bangalore, Pune, Mumbai, Hyderabad
• Experience : 9-11 yrs
• Education Qualification : Any Graduation.
• Work Mode : Hybrid.
• Employment Type : Contract.
• Notice Period : Immediate - 15 Day

Job Description : Core Expertise

Deep proficiency in Java, concurrency, and collections.

Strong experience with PostgreSQL, ElasticSearch, and exposure to graph databases (e.g., Kuzu DB, Neo4j).

Understanding of data cataloging concepts (assets, lineage, glossary, metadata management).

Solid experience building and consuming RESTful APIs.

Knowledge of microservices architecture, containerization (Docker, Kubernetes).

Familiarity with Keycloak or similar IAM solutions.

Angular 5+,CSS ,HTML, Javascript

Architecture Mindset

Strong knowledge of enterprise design patterns, scalability, and distributed systems.

Experience balancing trade-offs between performance, maintainability, and complexity.

Ability to create and communicate long-term architectural vision while executing incremental deliveries.

Bonus Points

Experience with messaging queues (e.g., RabbitMQ, Kafka).

Exposure to orchestration tools like Argo Workflow or Temporal.

Prior work on large-scale enterprise SaaS or on-prem deployments.

Contributions to open-source data catalog or incident management projects