We are looking for an experienced Engineering Manager with a strong background in Java Spring Boot, RabbitMQ, AWS CodePipeline, and cloud infrastructure. The ideal candidate will lead a high-performing team, drive technical excellence, and ensure the successful delivery of scalable and high-quality applications. This role requires expertise in monitoring, observability, data structures, design patterns, PostgreSQL, MySQL, and a deep understanding of project delivery metrics to drive engineering efficiency.

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Key Responsibilities:

#Technical Leadership:
- Architect, design, and develop scalable and high-performance applications using Java Spring Boot.
- Ensure RabbitMQ and other messaging/queuing systems are effectively used for distributed systems.
- Oversee CI/CD pipelines using AWS CodePipeline, ensuring seamless deployments and automation.
- Implement monitoring and observability best practices using tools such as Prometheus, Grafana, ELK Stack, or AWS CloudWatch.
- Drive database optimization and scalability for PostgreSQL and MySQL-based applications.
- Establish coding standards, best practices, and promote design patterns to maintain code quality.

#Team & Project Management:
- Lead and mentor software engineers to ensure technical growth and high productivity.
- Collaborate with product managers, designers, and stakeholders to define and deliver business-critical solutions.
- Own project delivery metrics, ensuring timelines, quality benchmarks, and operational excellence.
- Foster a culture of agile development, continuous improvement, and DevOps best practices.

#Process & Performance Optimization:
- Implement engineering KPIs, track system performance, and continuously improve operational efficiency.
- Ensure high availability, fault tolerance, and disaster recovery mechanisms for critical applications.
- Optimize and scale microservices-based architecture with a focus on performance and maintainability.

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Required Qualifications:
- 10+ years of software development experience with at least 3+ years in a leadership role.
- Expertise in Java, Spring Boot, and Microservices architecture.
- Strong knowledge of RabbitMQ, Kafka, or similar messaging systems.
- Experience with AWS services (EC2, S3, Lambda, RDS, CodePipeline, etc.).
- Hands-on experience in monitoring, logging, and observability tools (Prometheus, Grafana, ELK, CloudWatch).
- Deep understanding of data structures, algorithms, and design patterns.
- Proficiency in relational databases such as PostgreSQL and MySQL.
- Experience in CI/CD pipelines, DevOps best practices, and infrastructure automation.
- Strong analytical and problem-solving skills with a focus on scalability and performance tuning.

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Preferred Skills:
- Exposure to containerization (Docker, Kubernetes).
- Familiarity with SQL/NoSQL databases (Postgres, MySQL, MongoDB, DynamoDB) is a plus.
- Experience in JIRA, Confluence, and Agile methodologies.
- Background in SRE (Site Reliability Engineering) and performance monitoring.