Java Full Stack

MethodHub Consulting Inc; Bengaluru; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

MethodHub Consulting Inc. is seeking an experienced backend engineer to drive core Java development, with Kotlin familiarity a plus. You will work on scalable microservices, REST APIs, and AI-enabled features in a cloud-native environment.

Strong knowledge of JVM, performance tuning, and modern toolchains is essential. You will design and implement Spring Boot-based services, leverage Kafka for messaging, and operate with Docker/Kubernetes in a hybrid Bangalore setting.

Qualifications

• Must have strong Core Java, multithreading, JVM concepts and performance tuning.
• Experience with Spring Boot and microservices architectures.
• Familiarity with cloud-native design and SQL/NoSQL databases.
• Knowledge of AI concepts integration like LangChain, vector databases, and semantic search.

Responsibilities

• Design and develop backend microservices using Java/Kotlin.
• Build secure, scalable REST APIs and ensure performance and reliability.
• Implement cloud-native patterns; utilize Docker and Kubernetes for deployment.
• Integrate AI capabilities into enterprise apps using LangChain and related tools.
• Collaborate with cross-functional teams and define API governance.

Skills

Core Java

Java 17+

Kotlin

Multithreading

JVM concepts

Performance tuning

REST APIs

Spring Boot

Microservices

Kafka

Docker

Kubernetes

Maven/Gradle

JUnit

SQL

NoSQL

PostgreSQL

MongoDB

Redis

AI concepts

LangChain

Prompt Engineering

Semantic Search

Tools

Maven

Gradle

JUnit

Docker

Kubernetes

Job description

Post Date : 3rd August, 2026

Relevant Work Experience : 4+ years

Status – Full Time

Location - Bangalore, Karnataka (WFO/Hybrid)

Job Description:

Core Java Expertise (Kotlin is a plus)

• Strong in Core Java, multithreading, collections, JVM concepts, and performance tuning
• Ability to write clean, scalable, and secure enterprise-grade code
• Kotlin knowledge is an added advantage for modern backend development
• Tech Stack: Java 17+, Kotlin, Maven/Gradle, JUnit

Spring Boot & Microservices

• Strong hands‑on experience with Spring Boot frameworks and microservices architecture
• Knowledge of distributed systems, resiliency patterns, and event-driven architecture
• Ability to design scalable and loosely coupled services
• Key Skills: REST APIs, Kafka,
• Good to have: Circuit Breaker, Saga, Docker, Kubernetes

Cloud-Native & Database Engineering

• Understanding of cloud-native principles and scalable backend design
• Hands‑on experience with SQL and NoSQL databases
• Strong in database design patterns, performance optimization, caching, and scalability
• Tech Stack: PostgreSQL, MongoDB, Redis

AI Ecosystem Knowledge

• Awareness of modern AI concepts including LLMs, RAG, AI Agents, and vector databases
• Ability to integrate AI capabilities into enterprise applications securely and responsibly
• Good Skills to have: LangChain, Prompt Engineering, Semantic Search

API Strategy & Enterprise Integration

Ability to design secure, reusable, and scalable APIs with proper governance

Strong understanding of API-first architecture and enterprise integration patterns