Senior Cloud SRE & Automation Lead (AWS & Kubernetes)

Lewis Personnel Management

Manila

On-site

PHP 1,800,000 - 2,400,000

Full time

2 days ago
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Job summary

Lewis Personnel Management is seeking a Senior Site Reliability Engineer to manage cloud infrastructure at scale, with a strong emphasis on AWS services and Kubernetes orchestration. The role involves leading technical initiatives, mentoring teammates, and optimizing production systems across AWS components.

You will deploy and operate containerized workloads, use Terraform and Helm for automation, and contribute to ML workflows and model serving.

Qualifications

  • 10+ years AWS experience including EKS, EC2, RDS, Fargate, CloudFront, Lambda, and S3.
  • Strong hands-on AWS EKS / Kubernetes experience.
  • Experience as a Technical Lead or in Software Engineering, DevOps, or SRE.
  • Proficiency in at least one: Python, Ruby, Elixir, Go, JavaScript, or Rust.
  • Experience with production systems at scale and troubleshooting complex issues.
  • Knowledge of containers, YAML/Bash, and infrastructure automation.
  • Helm and Terraform experience preferred.
  • Familiarity with ML workflows and MLOps, including model deployment or inference serving.

Responsibilities

  • Manage and optimize AWS infrastructure at scale.
  • Lead technical initiatives and mentor team members.
  • Troubleshoot and resolve production issues.
  • Implement infrastructure automation using Terraform and other tools.
  • Work with containers, YAML, and Bash scripting.
  • Support ML workflows and MLOps including model deployment and inference serving.

Skills

AWS
Kubernetes
Leadership
Python
DevOps
Troubleshooting

Tools

Terraform
Helm
YAML
Bash

Job description

Lewis Personnel Management is seeking a Senior Site Reliability Engineer to manage cloud infrastructure at scale, with a strong emphasis on AWS services and Kubernetes orchestration. The role involves leading technical initiatives, mentoring teammates, and optimizing production systems across AWS components.

You will deploy and operate containerized workloads, use Terraform and Helm for automation, and contribute to ML workflows and model serving.

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