Senior Technology Engineer

5 days ago

Bengaluru, Karnataka, India Valuelabs Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Role & responsibilities :

A highly skilled Senior Technology with extensive experience in DevOps, CI/CD, Kubernetes, OpenShift, Jenkins, and GitOps. The ideal candidate should also have a strong understanding of Big Data and Distributed Data Architecture. This role involves designing, implementing, and maintaining scalable and efficient infrastructure and data solutions to support our business objectives..

Key Responsibilities:

  • DevOps and CI/CD: Design, implement, and manage CI/CD pipelines using tools like Jenkins and GitOps to automate and streamline the software development lifecycle.
  • Containerization and Orchestration: Deploy and manage containerized applications using Kubernetes and OpenShift, ensuring high availability and scalability.
  • Infrastructure Management: Develop and maintain infrastructure as code (IaC) using tools like Terraform or Ansible.
  • Big Data Solutions: Architect and implement big data solutions using technologies such as Hadoop, Spark, and Kafka.
  • Distributed Systems: Design and manage distributed data architectures to ensure efficient data processing and storage.
  • Collaboration: Work closely with development, operations, and data teams to understand requirements and deliver robust solutions.
  • Monitoring and Optimization: Implement monitoring solutions and optimize system performance, reliability, and scalability.
  • Security and Compliance: Ensure infrastructure and data solutions adhere to security best practices and regulatory requirements.

Qualifications:

  • Education: Bachelors or Masters degree in Computer Science, Engineering, or a related field.
  • Experience: Minimum of 5 years of experience in big data engineering or a related role.

  • Technical Skills:

  • Proficiency in CI/CD tools such as Jenkins and GitOps.

  • Strong experience with containerization and orchestration tools like Kubernetes and OpenShift.
  • Knowledge of big data technologies such as Hadoop, Spark, ETLs.
  • Proficiency in scripting languages such as Python, Bash, or Groovy.

  • Familiarity with infrastructure as code (IaC) tools like Terraform or Ansible.

  • Soft Skills:

  • Excellent problem-solving and analytical skills.

  • Strong communication and collaboration abilities.
  • Ability to work in a fast-paced, dynamic environment.

Preferred Qualifications:

  • Certifications in DevOps, cloud platforms, or big data technologies.
  • Experience with monitoring and logging tools such as Prometheus, Grafana, or ELK Stack.
  • Knowledge of security best practices in DevOps and data engineering.
  • Familiarity with agile methodologies and continuous integration/continuous deployment (CI/CD) practices.

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