Infrastructure Management: Design, deploy, and manage large-scale production environments using kubernets and Docker.
Automation & Scripting: Develop sophisticated automation tools and scripts, primarily using Python, to improve operational efficiency.
CI/CD Pipeline Ownership: Build and optimize end-to-end continuous integration and deployment pipelines to ensure rapid and reliable software delivery.
Collaboration: work closely with R&D teams to troubleshoot complex architectural challenges and optimize application performance.
System Integrity: Maintain high availability and security standards across all production and staging environments.
Automation & Scripting: Develop sophisticated automation tools and scripts, primarily using Python, to improve operational efficiency.
CI/CD Pipeline Ownership: Build and optimize end-to-end continuous integration and deployment pipelines to ensure rapid and reliable software delivery.
Collaboration: work closely with R&D teams to troubleshoot complex architectural challenges and optimize application performance.
System Integrity: Maintain high availability and security standards across all production and staging environments.
Requirements:
Kubernetes & Docker: 4+ years of hands-on experience orchestrating containerized environments in production.
Python Mastery: Strong proficiency in Python for automation, tool development, and system integration.
Version Control: Expert knowledge of Git (branching strategies, hooks, and repository management).
CI/CD: Proven experience building and maintaining complex CI/CD workflows.
Experience: 5+ years in a DevOPS or SRE role, with a track record of handling high-traffic production environments.
Advantages:
Cloud Platforms: Extensive experience with major cloud providers (AWS, GCP, or AZURE).
Messaging Systems: Experience with Apache Kafka (cluster management and monitoring).
CI Tools: Hands-on experience with Jenkins (declarative pipelines, Shared libraries).
Kubernetes & Docker: 4+ years of hands-on experience orchestrating containerized environments in production.
Python Mastery: Strong proficiency in Python for automation, tool development, and system integration.
Version Control: Expert knowledge of Git (branching strategies, hooks, and repository management).
CI/CD: Proven experience building and maintaining complex CI/CD workflows.
Experience: 5+ years in a DevOPS or SRE role, with a track record of handling high-traffic production environments.
Advantages:
Cloud Platforms: Extensive experience with major cloud providers (AWS, GCP, or AZURE).
Messaging Systems: Experience with Apache Kafka (cluster management and monitoring).
CI Tools: Hands-on experience with Jenkins (declarative pipelines, Shared libraries).
This position is open to all candidates.
