Senior Technical Lead - DevOps, Python, Kubernetes (BR)
Role Overview
Responsible for leading technical teams in the implementation, automation, and maintenance of DevOps practices using Python and Kubernetes.
The role involves ensuring efficient delivery of software projects, optimizing system performance, and providing technical guidance to team members.
Full Job Posting
Responsibilities
- Lead and mentor technical teams in the development and implementation of devops practices using python and kubernetes. Design and implement automated deployment pipelines to ensure quick and efficient delivery of software products. Collaborate with cross functional teams to define infrastructure requirements and ensure smooth deployment of applications. Monitor system performance and troubleshoot issues related to devops tools and practices. Provide technical expertise and guidance to team members on best practices for devops, python, and kubernetes. Evaluate existing systems and processes to identify areas for improvement and implement solutions. Stay updated with the latest trends and technologies in devops, python, and kubernetes to enhance team capabilities.
- Lead and mentor technical teams in the development and implementation of devops practices using python and kubernetes.
- Design and implement automated deployment pipelines to ensure quick and efficient delivery of software products.
- Collaborate with cross functional teams to define infrastructure requirements and ensure smooth deployment of applications.
- Monitor system performance and troubleshoot issues related to devops tools and practices.
- Provide technical expertise and guidance to team members on best practices for devops, python, and kubernetes.
- Evaluate existing systems and processes to identify areas for improvement and implement solutions.
- Stay updated with the latest trends and technologies in devops, python, and kubernetes to enhance team capabilities.
- Proficiency in devops principles and practices.
- Strong experience with python programming for automation tasks.
- In-depth knowledge of kubernetes for container orchestration.
- Familiarity with ci/cd tools for automated software delivery.
- Excellent problem-solving and troubleshooting skills.
- Strong leadership and communication abilities to mentor and guide team members effectively.
Requirements
- Familiarity with ci/cd tools for automated software delivery.
Full Job Posting
Job Summary Responsible for leading technical teams in the implementation, automation, and maintenance of DevOps practices using Python and Kubernetes. The role involves ensuring efficient delivery of software projects, optimizing system performance, and providing technical guidance to team members. Key Responsibilities Lead and mentor technical teams in the development and implementation of devops practices using python and kubernetes. Design and implement automated deployment pipelines to ensure quick and efficient delivery of software products. Collaborate with cross functional teams to define infrastructure requirements and ensure smooth deployment of applications. Monitor system performance and troubleshoot issues related to devops tools and practices. Provide technical expertise and guidance to team members on best practices for devops, python, and kubernetes. Evaluate existing systems and processes to identify areas for improvement and implement solutions. Stay updated with the latest trends and technologies in devops, python, and kubernetes to enhance team capabilities. Skill Requirements Proficiency in devops principles and practices. Strong experience with python programming for automation tasks. In-depth knowledge of kubernetes for container orchestration. Familiarity with ci/cd tools for automated software delivery. Excellent problem-solving and troubleshooting skills. Strong leadership and communication abilities to mentor and guide team members effectively. Other Requirements null
About HCL Technologies
HCL Technologies is a global IT services and consulting company offering digital, engineering, cloud, and AI solutions. Headquartered in Noida, India, it serves clients across industries in over 60 countries.
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