Java - Senior Engineer

Job Description

Required Technical Skills :

• Core Java 17+: Strong hands-on experience with Core Java 17 or later, demonstrating fluency with modern language features including records, sealed classes, pattern matching, the Streams API, and the Java concurrency model.
• Spring Boot: Proficiency in the Spring Boot framework for building production-grade microservices, including REST APIs, dependency injection, configuration management, and integration with common Spring ecosystem components.
• JPA / Hibernate: Solid experience using JPA and Hibernate for object-relational mapping and database persistence, including entity modeling, transaction management, and performance tuning of queries.
• Messaging Technologies (IBM MQ, Solace, or Kafka): Hands-on experience with at least one enterprise messaging technology such as IBM MQ, Solace, or Apache Kafka, along with a clear understanding of messaging patterns, delivery guarantees, and reliability semantics.
• Kubernetes and Docker: Good working knowledge of Kubernetes for container orchestration and Docker for containerization, including familiarity with deployment manifests, service configuration, scaling strategies, and troubleshooting workloads in containerized environments.
• Python (Pandas/Polars and database connectivity): Working knowledge of Python with experience using data manipulation libraries such as Pandas or Polars, and the ability to establish and work with database connections from Python applications.

Nice-to-Have Skills :

• CI/CD Tooling (Jenkins / GitLab CI / GitHub Actions): Familiarity with modern CI/CD tooling such as Jenkins, GitLab CI, or GitHub Actions, including authoring pipelines, automating tests, and managing deployment workflows.
• Capital Markets Domain Knowledge: Exposure to capital markets concepts, particularly in trading, risk management, or settlements, which would help in quickly understanding business context and delivering meaningful solutions.
• Observability Tools (Prometheus / Grafana / ELK): Experience with observability tools such as Prometheus, Grafana, and the ELK stack, including instrumenting applications, building dashboards, and analyzing logs to support production reliability.
• SQL and NoSQL Databases: Familiarity with both SQL and NoSQL databases, including schema design, query optimization, and selecting the right data store for a given workload.

Mandatory Competencies