C
Capgemini
Java with AIML AND Aws
Skills
DockerJavaMicroservicesSpring BootPostgreSQLMySQLKafkaAWSKubernetesOracle
2 months ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
13 August 2026
What they need
Experience Required:
- Very strong proficiency in **Core Java** programming.
- Extensive experience in developing RESTful APIs using **Spring Boot**.
- Proven experience with microservices and **event-driven** architecture.
- Strong experience with **relational databases** (Oracle, PostgreSQL, MySQL).
- Experience with cloud-native applications, **Docker, Kubernetes, and AWS**.
- Hands-on experience with message brokers like Kafka or **MQ**.
- Deep knowledge of persistence frameworks such as **Hibernate** or OpenJPA.
- Proven experience as a **technical lead**.
- Experience with API gateway technologies and legacy system integrations.
- Familiarity with Agile/SCRUM methodologies.
Responsibilities:
- Design, develop, and maintain robust, scalable Java applications.
- Implement RESTful APIs using Spring Boot and integrate with microservices architecture.
- Deploy and manage applications using containerization and cloud technologies such as Docker, Kubernetes, and AWS.
- Develop and maintain event-driven systems using message queuing technologies such as Kafka or MQ.
- Work with relational databases (Oracle & PostgreSQL) and optimize database interactions.
- Utilize persistence frameworks such as Hibernate or OpenJPA for data access.
- Collaborate with frontend teams on UI frameworks like Angular.
- Make technical decisions, guide architecture, and provide leadership to the development team.
- Interface and integrate with legacy IT systems where required.
- Apply API gateway technologies for routing, security, and monitoring APIs.
- Participate in Agile/SCRUM ceremonies and contribute to iterative development cycles.
- Mentor junior developers and provide technical leadership within the team.
- Manage operations and production environments, proactively monitor system health, and resolve production issues to ensure high availability and reliability.
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