Senior Java Software Engineer

Responsibilities:

• Design, develop, and maintain scalable enterprise backend services using Java, Spring Boot, and microservices architectures.
• Deploy, manage, and optimize applications on Azure Kubernetes Service (AKS) and other containerized environments (Docker, Kubernetes fundamentals deployments, scaling, secrets, ingress).
• Build and maintain cloud-native solutions with best practices for scalability, resilience, and maintainability (service discovery, config management).
• Proactively monitor system health, debug production issues, and use observability tools (logging, metrics, tracing) to ensure system reliability and performance.
• Participate in on-call rotations and contribute to incident resolution and root cause analysis.
• Implement secure coding standards and lead code reviews to maintain technical quality and reduce technical debt.
• Collaborate with cross-functional teams (architecture, DevOps, QA, product) to diagnose complex issues end-to-end and deliver robust solutions.
• Champion AI/ML adoption: integrate AI-driven tools & services (e.g., log analysis, anomaly detection, intelligent monitoring, generative AI for developer productivity or customer experience) into backend systems where applicable.
• Drive continuous improvement by evaluating new frameworks, libraries, and emerging technologies.
• Participate in on-call rotations and contribute to incident resolution and root cause analysis.
• Identify and implement performance improvements across services and data flows.
• Implement messaging systems such as JMS queues, Kafka, and Spark.
• Enhance application scalability across major public clouds including Azure, Google Cloud, and AWS.
• Employ source versioning tools like Git, and conduct unit testing with JUnit.

Skills and Qualifications:

• 7+ years of hands-on Java development experience (Spring Boot, Spring Cloud/Security).
• Strong knowledge of microservices and distributed system design patterns.
• Familiarity with AKS/Kubernetes, containerization (Docker), and deployment automation (Azure DevOps, GitHub Actions, Jenkins).
• Practical expertise in databases (Oracle, MySQL, Elasticsearch) and messaging systems (Kafka, JMS).
• Solid understanding of observability monitoring, logging, tracing (Prometheus, Grafana, ELK/EFK, OpenTelemetry).
• Familiarity to AI/ technologies and ability to integrate them into system (e.g. anomaly detection, NLP services, LLMs for automation).
• Strong debugging, root cause analysis, and performance tuning (JVM profiling, thread/heap analysis, query optimization).
• Excellent problem-solving, communication, and collaboration skills.
• Ability to mentor, review code, and set engineering best practices.
• Strong command of the English language, with excellent verbal and written communication skills.

Personal Attributes:

• Proactive and self-driven with a growth mindset; stays updated on emerging cloud and AI technologies.
• Takes ownership of complex problems and drives them to resolution.
• Promotes clean architecture, secure design, and long-term maintainability.
• Open to feedback, continuous learning, and experimentation.
• Comfortable with ambiguous problems and can drive them to clarity and resolution.
• Advocates for best practices in design, testing, monitoring, and deployment.
• A commitment to continuous learning and improvement.
• Excellent team collaboration skills.
• A proactive and adaptable approach to challenges.