Backend Development Expertise : Extensive hands-on experience (3.5+ years) in backend development, with a focus on building and maintaining scalable, high-performance applications.

Proficiency in Java is essential, including :

- Core Java Concepts : Strong understanding of core Java concepts such as object-oriented programming (OOP), data structures, and exception handling.

- Multi-threading and Concurrency : Expertise in Java multi-threading, concurrency control, and synchronization to develop efficient and scalable applications.

- Collections Framework : In-depth knowledge of Java Collections, including correct usage of data structures like HashMap, HashSet, ArrayList, and their performance trade-offs.

- JVM Internals : Understanding of Java Virtual Machine (JVM) internals, memory management, garbage collection, and performance tuning.

- Functional Programming : Experience with Java 8+ features, including Streams API, Lambda expressions, and functional programming concepts.

- Exception Handling and Best Practices : Proficiency in designing robust error handling mechanisms and adhering to best practices for code reliability.

- Spring Boot and Microservices : Hands-on experience with Spring Boot, building REST APIs, and Microservices architecture.

- Cloud Experience : Experience with Cloud platforms such as AWS, GCP, or Azure, focusing on deploying and managing backend services.

Database Architecture and Management : Strong experience in database design, architecture, and management, including :

- SQL and NoSQL Databases : Proficiency in working with both SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra) databases.

- Database Optimization : Experience in optimizing database queries, indexing strategies, and schema design for high performance and scalability.

- Data Modeling : Ability to design data models that support application requirements, ensuring data integrity and performance.

- Transaction Management : Understanding of ACID properties, transaction management, and handling concurrency issues.

Code Optimization and Performance Tuning : Proven experience in code optimization and performance tuning, including :

- Profiling and Analysis : Use of profiling tools (e.g., JProfiler, VisualVM) to analyze application performance and identify bottlenecks.

- Memory and CPU Optimization : Techniques to optimize memory usage, reduce garbage

collection overhead, and improve CPU efficiency.

- Best Practices : Adherence to best practices for writing efficient, maintainable, and high-performance code.

Engineering Best Practices :

- Proven experience in applying engineering best practices, including TDD (Test-Driven Development), BDD (Behavior-Driven Development), and clean code principles.

- Strong focus on code quality, maintainability, and reliability.

Design and Architecture Excellence :

- Significant hands-on experience in software design and architecture, including designing distributed systems, event-driven architecture, and ensuring scalability, performance, and reliability.

- Ability to use tools such as UML, Lucidchart, or PlantUML for effective technical design.

Agile Engineering Practices :

- Proven ability to apply Agile methodologies, with direct involvement in sprint planning, retrospectives, and daily standups.

- Hands-on experience in leading technical teams through Agile ceremonies and ensuring the delivery of high-quality software.

Technical Code Reviews and Mentorship :

- Extensive experience conducting code reviews to ensure adherence to industry best practices and identifying areas for improvement.

- Ability to mentor and provide actionable feedback to junior engineers, fostering engineering excellence within the team.

Automation Enhancements :

- Proven ability to identify areas for automation, including scripting tasks with Python, Shell, or Groovy to improve operability.

- Experience in automating repetitive tasks to improve efficiency and reliability in software delivery.

Cloud Infrastructure and Monitoring :

- Strong technical understanding of cloud infrastructure, including deployment, scaling, and management of cloud resources.

- Experience with monitoring and logging tools like Prometheus, Grafana, ELK Stack, or CloudWatch to ensure observability and troubleshoot production issues efficiently.

Hands-on Troubleshooting and Issue Resolution :

- Involvement in root cause analysis and providing solutions for critical production issues.

- Ability to reduce Mean Time to Repair (MTTR) by implementing effective monitoring, alerting, and troubleshooting practices.

- Experience with incident management tools such as PagerDuty or Opsgenie.