Project Overview
Client is seeking a Kubernetes Platform Engineer to support the design deployment and scaling of its enterprise Kubernetes platform. This role focuses on building and automating a self-service Kubernetes solution that empowers teams across the organization.
The ideal candidate will bring hands-on experience in platform engineering automation and Infrastructure-as-Code (IaC). Youll work within a team driving Marriotts technology transformation - adopting DevOps automation and continuous product iteration to enable faster innovation and proactive operations across the enterprise.
Key Responsibilities
- Design deploy automate and maintain Kubernetes-based cloud infrastructure to ensure security performance and high availability.
- Develop scalable solutions using Infrastructure-as-Code tools such as Terraform Helm and GitOps.
- Manage container orchestration across multi-cloud environments (AWS Azure GCP or Alibaba).
- Build automated processes for right-sizing resources (VMs storage etc.) and real-time cost visibility.
- Troubleshoot issues perform root-cause analysis and resolve production and infrastructure-related problems.
- Maintain detailed technical documentation including architecture diagrams and configuration notes.
- Monitor cloud infrastructure and automation metrics to ensure optimal system performance.
- Participate in peer reviews and contribute to fostering a collaborative modern engineering culture.
- Stay current on emerging cloud and DevOps technologies continuously enhancing the platform and automation strategies.
Required Qualifications
- Bachelors degree in Computer Science Engineering or a related field or equivalent experience/certification.
- Minimum 4 years of overall technology experience with strong technical and customer-focused skills.
- At least 2 years in a cloud or platform engineering role with a strategic solution-oriented mindset.
- Hands-on experience with Kubernetes design deployment and management across multiple cloud platforms.
- Strong background in Public Cloud technologies (AWS Azure GCP or Alibaba).
- Proven experience driving architecture decisions and automation through Terraform Helm and GitOps.
- Ability to design end-to-end architectures supporting 99.99% service availability with cost and performance efficiency.
Technical & Soft Skills
Technical Skills:
- Proficiency in at least one programming language: Go Java or Python.
- Solid understanding of infrastructure systems DevOps automation and self-healing methodologies.
- Experience with container orchestration CI/CD pipelines and infrastructure observability.
- Knowledge of modern infrastructure tools and best practices across enterprise environments.
Soft Skills:
- Strong problem-solving and analytical abilities.
- Excellent communication and collaboration skills across technical and non-technical teams.
- Ability to influence and build constructive relationships across diverse teams.
- Demonstrated capability to adapt and learn new technologies in a fast-paced environment.
Project Overview Client is seeking a Kubernetes Platform Engineer to support the design deployment and scaling of its enterprise Kubernetes platform. This role focuses on building and automating a self-service Kubernetes solution that empowers teams across the organization. The ideal candidate will ...
Project Overview
Client is seeking a Kubernetes Platform Engineer to support the design deployment and scaling of its enterprise Kubernetes platform. This role focuses on building and automating a self-service Kubernetes solution that empowers teams across the organization.
The ideal candidate will bring hands-on experience in platform engineering automation and Infrastructure-as-Code (IaC). Youll work within a team driving Marriotts technology transformation - adopting DevOps automation and continuous product iteration to enable faster innovation and proactive operations across the enterprise.
Key Responsibilities
- Design deploy automate and maintain Kubernetes-based cloud infrastructure to ensure security performance and high availability.
- Develop scalable solutions using Infrastructure-as-Code tools such as Terraform Helm and GitOps.
- Manage container orchestration across multi-cloud environments (AWS Azure GCP or Alibaba).
- Build automated processes for right-sizing resources (VMs storage etc.) and real-time cost visibility.
- Troubleshoot issues perform root-cause analysis and resolve production and infrastructure-related problems.
- Maintain detailed technical documentation including architecture diagrams and configuration notes.
- Monitor cloud infrastructure and automation metrics to ensure optimal system performance.
- Participate in peer reviews and contribute to fostering a collaborative modern engineering culture.
- Stay current on emerging cloud and DevOps technologies continuously enhancing the platform and automation strategies.
Required Qualifications
- Bachelors degree in Computer Science Engineering or a related field or equivalent experience/certification.
- Minimum 4 years of overall technology experience with strong technical and customer-focused skills.
- At least 2 years in a cloud or platform engineering role with a strategic solution-oriented mindset.
- Hands-on experience with Kubernetes design deployment and management across multiple cloud platforms.
- Strong background in Public Cloud technologies (AWS Azure GCP or Alibaba).
- Proven experience driving architecture decisions and automation through Terraform Helm and GitOps.
- Ability to design end-to-end architectures supporting 99.99% service availability with cost and performance efficiency.
Technical & Soft Skills
Technical Skills:
- Proficiency in at least one programming language: Go Java or Python.
- Solid understanding of infrastructure systems DevOps automation and self-healing methodologies.
- Experience with container orchestration CI/CD pipelines and infrastructure observability.
- Knowledge of modern infrastructure tools and best practices across enterprise environments.
Soft Skills:
- Strong problem-solving and analytical abilities.
- Excellent communication and collaboration skills across technical and non-technical teams.
- Ability to influence and build constructive relationships across diverse teams.
- Demonstrated capability to adapt and learn new technologies in a fast-paced environment.
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