Senior Java Engineer - Distributed Systems & Real-Time Data

• Design, develop, and optimize distributed systems and event-driven architectures supporting real-time data processing
• Implement solutions using Java 21, Spring Boot, Flowable, and cloud-native technologies
• Build robust, fault-tolerant streaming data platforms leveraging Apache Flink and Kafka
• Apply CQRS and Event Sourcing patterns, ensuring scalability, consistency, and reliability
• Collaborate with solution architects to define secure, resilient, and high-performance systems
• Leverage AI-enabled tools (GitHub Copilot, LLMs) to accelerate development and improve code quality
• Ensure compliance with SDLC best practices, including automated testing, CI/CD, and deployment using Kubernetes and Terraform
• Engage with stakeholders to translate business requirements into innovative technical solutions
• Optimize application performance in mission-critical environments, ensuring minimal latency and high throughput
• Maintain strong security controls by implementing identity, access, and OAuth-based authentication mechanisms

Requirements

• 15+ years of experience in Java development and advanced distributed systems design
• Hands-on expertise with Java 21, Flowable, Spring Boot, and ORM frameworks (JPA, iBatis)
• Deep knowledge of data streaming technologies (Apache Flink, Kafka), time-series processing, and microservices
• Proficiency in cloud-native architectures with Kubernetes, Docker, Terraform, and Azure platforms
• Experience with CosmosDB, PostgreSQL, Redis, and other relevant data stores
• Strong background in security frameworks (Azure AD, OAuth)
• Proficiency in REST API development, CI/CD pipelines, and automated testing
• AI-assisted software engineering experience using GitHub Copilot or equivalent tools
• Solid understanding of Computer Science fundamentals and SDLC best practices
• Excellent communication and stakeholder management skills

Nice to Have Skills

• Experience in Client Lifecycle domain
• Familiarity with Kotlin, Scala, Oracle, Databricks, and big data platforms
• Knowledge of LLMs, observability, and resilience engineering approaches for regulated environments