Confluent / Kafka Platform Engineer

3 - 8 years

5 - 10 Lacs

Posted:5 hours ago| Platform: Naukri logo

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Job Description

Confluent / Kafka Platform Engineer in Hyderabad, India, India
Description
Why Ness
We know that people are our greatest asset. Our staff s professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world s leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world.
You ll gain knowledge working alongside other highly skilled professionals that will help accelerate your career progression.
You ll also benefit from an array of advantages like access to trainings and certifications, bonuses, and aids, socializing activities and attractive compensation.
Requirements and responsibilities
In today s digital landscape, streaming data is at the core of enterprise transformation. We are looking for an experienced Confluent Platform Engineer to join our team and help design, build, and operate secure, scalable, and reliable streaming infrastructure.
You will be responsible for deploying and managing (Kafka) in enterprise Kubernetes and cloud environments. You will ensure that the platform is engineered for performance, security, and resilience, serving as the backbone for real-time, event-driven applications across the business.
What You ll Do
  • Deploy, configure, and operate (Kafka) in production-grade environments.
  • Manage for Kubernetes (CfK) deployments, leveraging operator-based lifecycle management.
  • Implement and troubleshoot authentication, authorization, and encryption to secure distributed systems.
  • Administer certificates and integrate the platform with enterprise identity systems (LDAP/AD).
  • Troubleshoot, optimize, and scale clusters running on Kubernetes/OpenShift.
  • Apply DevOps and automation practices (Terraform, Ansible, Helm, CI/CD pipelines) to improve consistency and reliability.
  • Collaborate with security, platform, and application teams to ensure the platform meets enterprise requirements.
  • Support adoption where advanced stream processing is needed.
What You ll Bring
  • Strong hands-on experience with (Kafka): installation, configuration, monitoring, and troubleshooting.
  • Proven experience with Kubernetes (CfK) in production deployments.
  • Advanced knowledge of Kubernetes; OpenShift experience highly desirable.
  • Solid background in cloud platforms (AWS, Azure, or GCP).
  • Strong DevOps and automation skills (Terraform, Ansible, Helm, GitOps, CI/CD).
  • Expertise in platform security: TLS/certificates, authN/Z, secure service-to-service communication.
  • LDAP/AD integration experience, including connector configuration and policy enforcement.
  • Familiarity with large-scale cluster management, upgrades, and operational best practices.
  • Understanding of data streaming technologies and concepts is a must (pub/sub, event-driven architectures, stream processing).
  • Relevant certifications (e. g. , Certified Administrator for Apache Kafka, Kubernetes certifications such as CKA/CKAD/CKS, cloud certifications).
  • High analytical skills with the ability to solve complex problems in distributed systems.
  • Initiative and flexibility, comfortable adapting in dynamic enterprise environments.
  • Customer orientation, able to collaborate effectively with stakeholders and cross-functional teams.
  • Quality awareness, committed to building secure, reliable, and maintainable platforms.
  • Excellent communication skills, both verbal and written.
Not checking every single requirement
If this role sounds good to you, even if you don t meet every single bullet point in the job description, we encourage you to apply anyway. For most of the candidates that applied, we found a role that was a very good fit with their skills.
Let s meet and you may just be the right candidate for one of our roles.
At Ness Digital Engineering we are willing to build a work culture that is based on diversification, inclusion, and authenticity.

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