Lewis Personnel Management
REMOTE: Site Reliability Engineer - Kubernetes
Skills
2 months ago
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Important information
Contract type:
Permanent
Salary:
₱1,440,000 – ₱1,920,000 / year
Location:
Manila, Metro Manila, Philippines
Work mode:
Onsite
Published on:
10 August 2026
What they need
Site Reliability Engineer – Kubernetes
Location: Fully Remote
Schedule: Dayshift
Employment Type: Full-time
Compensation: Open Budget
Job Summary
We are seeking a Site Reliability Engineer (SRE) to build, automate, and maintain highly available AWS infrastructure and Kubernetes platforms. The role focuses on production reliability, cloud operations, automation, observability, and collaboration with engineering teams.
Key Responsibilities
- Design, deploy, and maintain scalable AWS infrastructure and Kubernetes (EKS) clusters.
- Automate infrastructure provisioning and deployments using Infrastructure as Code (IaC).
- Monitor, troubleshoot, and optimize production systems for reliability, availability, and performance.
- Implement CI/CD, observability, incident response, and DevOps/SRE practices.
- Partner with engineering teams to improve platform scalability and operational reliability.
- Support ML infrastructure and deployment pipelines where applicable.
Required Experience
- 3+ years of experience in Site Reliability Engineering, DevOps, or Cloud Infrastructure.
- 2+ years of hands-on AWS experience, including EKS, EC2, RDS, Fargate, CloudFront, Lambda, and S3.
- At least 1 year of technical leadership experience supporting DevOps/SRE initiatives.
- Experience supporting large-scale production environments.
Nice-to-Have Experience
- Experience supporting machine learning infrastructure and deployment pipelines.
- Experience working with distributed systems and cloud-native architectures.
- Experience collaborating with software engineering teams in production environments.
Required Skills
- AWS Cloud & Kubernetes (EKS)
- Infrastructure as Code (IaC) & DevOps Automation
- Production Reliability, Monitoring & Incident Response
Preferred Skills
ML Infrastructure
AWS: EC2, RDS, Fargate, CloudFront, Lambda, S3
Kubernetes/EKS
CI/CD
Observability
-JAC
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