Kafka Platform Engineer

4 days ago


Noida, Uttar Pradesh, India TapTalent Full time

At TapTalent, we are seeking a skilled Kafka Platform Engineer to join our team and contribute to the design and implementation of high-performance financial systems. The ideal candidate will have a strong background in platform engineering and development, with a focus on Kafka and related technologies.


The successful candidate will be responsible for ensuring system reliability and optimizing integration processes, while staying at the forefront of technology for ongoing transformations. Key skills include strong platform engineering and development background, Kafka knowledge, experience with Shell, Python scripting, Java, XML, and a basic understanding of SRE/DevOps principles.


The role also requires knowledge of streaming platforms, middleware technologies, and containerization with Kubernetes. Familiarity with network infrastructure components such as firewalls and load balancers is also essential. Additionally, experience working in large, fast-paced environments is a must.


Key responsibilities include automating repetitive tasks to eliminate manual toil using tools like Python, Salt, Rundeck, and Jenkins, troubleshooting and debugging complex issues across multiple operating systems and middleware technologies, leading the transformation team with a focus on local business and cloud readiness, developing and maintaining technology standards, driving performance optimization and system stability through proactive monitoring and tuning, collaborating with development and infrastructure teams to enhance system performance and security, and designing and implementing monitoring solutions to ensure system health, including automation and dashboard initiatives to improve technology team efficiencies.


We are looking for a strong problem-solver with excellent communication and collaboration abilities, who is able to lead troubleshooting efforts and drive performance optimization and system stability. Experience with Generative AI tools to streamline daily operations is a plus. The role is based in our office, with no remote work options available.



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