Kafka Engineer

Job Description:

• 10+ years experience in design, implement and maintain Java, Python, Microservice, Spring Boot, Spring Cloud, RESTful services, Kafka, Swagger, Spark, MongoDB, Flink, Ab Initio, Docker, Opeshift, Kubernetes technologies
• Strategize, Design data architecture for specific business problems or enterprise, align it to enterprise-wide standards and principles.
• Design and implementation of strategy, directing the evaluation of strategies and policies to ensure business requirements are being met.
• Translate and accurately communicate across technical and non-technical stakeholders as well as facilitate discussions within a multidisciplinary team, with potentially difficult dynamics.
• Must possess good experience in architecting enterprise systems using industry-standard design patterns, practices and cloud strategies.
• Must possess ability to suggest and implement architectural, scalability, performance and process improvements ideas
• Must have good understanding of DevOps, Continuous Improvement (CI) and Continuous Deployment (CD) processes.
• Exposure in any of the cloud solution architecture like Google Cloud Platform/AWS /Microsoft Azure will be an added benefit
• Ability to collaborate and communicate effectively with all stakeholders like Developers, business analysts, and business Stakeholders.

• Self-starter and experienced in leading the junior resources
• Hand-on architect with ability to implement and validate the solution
• Good Communication skills
• Flexible to rotational shifts, 5 days WFO
• Team Player
• Ability to work in a changing environment
• Strong problem solving and analytical skills
• Ability to work independently or within a team
• Manage day-to-day challenges and communicate developmental risks with the technical team

• Bachelor's degree in computer science, Software Engineering, or a related field.
• Proficiency in business process modeling and documentation tools.
• Familiarity with automation technologies and tools, such as robotic process automation (RPA) and workflow automation platforms.
• Product implementation experience is preferred

For applications and inquiries,