Senior Java Developer

We are looking for a highly skilled Senior Java Developer to drive the architecture, development, and scaling of our enterprise microservices ecosystem running on our private local cloud infrastructure. In this role, you will lead complex technical decisions, ensure absolute system reliability using advanced monitoring tools, and mentor engineering teams to maintain high architectural standards.

Core Responsibilities

• Design, build, and scale resilient, high-throughput microservices running on local cloud infrastructure via Kubernetes and GitOps pipelines.
• Lead technical design discussions, enforce code quality standards, and provide mentorship to mid and junior engineers.
• Write clean, efficient, maintainable, and highly testable Java code for heavy server-side loads.
• Architect and optimize complex relational (PostgreSQL) and NoSQL (MongoDB) databases, alongside high-performance caching layers using Redis.
• Design asynchronous messaging and event streaming pipelines utilizing Kafka and RabbitMQ.
• Utilize the ELK Stack (Elasticsearch, Logstash, Kibana) for centralized logging, application monitoring, and root-cause analysis in high-load environments.
• Design and integrate features leveraging LLM APIs while actively using AI coding assistants (Claude Code, Cursor, GitHub Copilot) to accelerate the development lifecycle.

Key Requirements

• Bachelor’s or Master’s degree in Computer Science or related fields with 5+ years of professional Java backend development experience.
• Deep proficiency in Java (Java 17/21), Spring Boot, Spring WebFlux, and Spring Cloud ecosystem.
• Proven hands-on experience with Kubernetes, containerization, and GitOps workflows (e.g., ArgoCD/Flux) in local cloud / on-premise environments (without relying on public cloud providers like AWS/Azure).
• Strong experience with message brokers (Kafka, RabbitMQ) and in-memory data stores (Redis).
• Solid background in database design, performance tuning, and scaling with PostgreSQL and MongoDB.
• Practical experience setting up and troubleshooting with the ELK Stack.
• Strong knowledge of algorithms, data structures, design patterns, and a proven track record of mentoring software engineers in an Agile environment.

Preferred Qualifications

• Practical experience with prompt engineering, vector databases, or integrating local/cloud LLM APIs into backend logic.
• Deep JVM tuning and network-level troubleshooting for on-premise hardware clusters.