Enterprise Architect Specialist

2 days ago


Rajkot, Gujarat, India beBeeInfrastructure Full time ₹ 12,50,000 - ₹ 17,50,000

We are seeking a skilled Technical Lead to spearhead the development of scalable enterprise-grade solutions.

Key Responsibilities:
  • Design and implement efficient architectures using OpenShift, Kafka, and container-based systems.
  • Lead migrations from legacy systems to modern cloud-native infrastructure, ensuring seamless transitions.
  • Maintain system performance, high availability, and security across enterprise platforms.
  • Owning end-to-end architecture and DevOps integration, including CI/CD pipeline automation.
  • Foster compliance, governance, and best practices in deployment and release processes.
  • Mentor development teams on performance tuning, observability, and sustainable coding strategies.
  • Collaborate with product managers, QA, and infrastructure teams for alignment and delivery excellence.
  • Evaluate and implement tools for monitoring, alerting, and logging to enhance operational visibility and reliability.
  • Conduct technical reviews and performance audits to continuously improve platform stability and speed.
Required Skills and Qualifications:
  • Proven expertise designing scalable and secure solutions using OpenShift.
  • Hands-on experience with Apache Kafka for real-time data streaming and event-driven architectures.
  • Strong background in containerization and orchestration (Docker, Kubernetes, OpenShift).
  • Experience leading container migrations, optimizing system performance, security, and availability.
  • Solid knowledge of CI/CD automation, with tools like Jenkins, GitLab CI/CD.
  • Expertise in DevOps practices, including IaC, continuous monitoring, and automated deployments.
  • Strong mentoring skills and experience coaching teams on observability, tuning, and architectural best practices.
Benefits:
  • This role offers opportunities for professional growth and development in a dynamic environment.
Other Information:
  • Certification in Kubernetes, OpenShift, or cloud platforms is desirable.


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