DevOps Automation Engineer (Work from Home)

Role Overview

The DevOps Automation Engineer is responsible for enabling reliable, scalable, and efficient technology delivery by designing and maintaining automation, infrastructure, and operational practices that support software development and production environments. The role contributes to operational excellence by improving deployment consistency, infrastructure reliability, system observability, and platform performance while supporting continuous improvement initiatives across engineering teams.

This position works closely with development, QA, security, and operational stakeholders to streamline software delivery processes, strengthen infrastructure resilience, and support cloud-native solutions. The successful candidate will help drive automation strategies, optimize cloud environments, and enhance system availability through proactive monitoring, incident response, and infrastructure management.

Specific Duties And Responsibilities

DevOps Automation & Delivery

• Design and maintain automated deployment pipelines to improve software delivery speed, consistency, and reliability
• Implement DevOps best practices to support continuous integration, continuous delivery, and operational efficiency
• Optimize deployment processes to reduce manual effort and improve release success rates
  
  

Cloud Infrastructure Management

• Architect and manage cloud infrastructure to ensure scalability, security, performance, and cost efficiency
• Provision and maintain infrastructure resources to support business and application requirements
• Evaluate and improve infrastructure configurations to enhance operational stability
  
  

Container Platform Administration

• Deploy, manage, and scale containerized workloads to support highly available application environments
• Maintain platform health and reliability through proactive capacity planning and troubleshooting activities
• Implement resilient deployment strategies to minimize service disruptions
  
  

Infrastructure as Code & Platform Engineering

• Develop and maintain infrastructure automation frameworks to improve environment consistency and governance
• Standardize provisioning and configuration processes to support operational efficiency and repeatability
• Support adoption of modern platform engineering practices and cloud-native infrastructure management
  
  

Monitoring, Reliability & Incident Management

• Implement monitoring, logging, and alerting solutions to improve system visibility and operational responsiveness
• Investigate and resolve infrastructure and application performance issues to maintain service reliability
• Develop and validate disaster recovery, backup, and incident response procedures to support business continuity
  
  

Stakeholder Collaboration

• Partner with development, QA, and security teams to integrate operational requirements into delivery processes
• Provide technical guidance and operational support to improve platform adoption and engineering productivity
• Contribute to continuous improvement initiatives that enhance system performance and team effectiveness
  
  

COMPETENCIES

Core Competencies (Must-have Competencies)

• DevOps Automation Engineering: Ability to design, implement, and maintain automation solutions that improve software delivery efficiency, reliability, and scalability
• AWS Cloud Infrastructure Management: Ability to provision, manage, optimize, and secure cloud-based environments while ensuring operational stability and performance
• Kubernetes Administration: Ability to deploy, manage, troubleshoot, and optimize containerized applications and Kubernetes environments
• Infrastructure as Code (IaC): Ability to automate infrastructure provisioning, configuration management, and environment standardization through code-driven approaches
• Site Reliability and Observability: Ability to establish monitoring, alerting, logging, and incident response capabilities that improve system availability and operational resilience
  
  

Complementary Competencies (Good-to-have Competencies)

• Application and Infrastructure Monitoring: Knowledge of observability tools and practices to proactively identify performance issues and improve platform health
• Collaborative Problem Solving: Ability to work effectively across technical teams to resolve operational challenges and drive continuous improvement
• Innovation and AI Adoption Mindset: Openness to leveraging emerging technologies and AI-enabled solutions to improve productivity and operational effectiveness
  
  

Qualifications

Educational Qualification/s

Required

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related discipline
  
  

Preferred

• Relevant certifications in AWS, Kubernetes, DevOps, Cloud, or Infrastructure Automation
• Additional technical certifications related to cloud infrastructure and platform engineering
  
  

Professional Qualification/s

• Minimum 3 years of hands-on DevOps engineering experience
• Minimum 2 years of experience managing AWS cloud environments
• Minimum 2 years of experience working with Kubernetes in production environments
• Experience building and supporting CI/CD pipelines and deployment automation
• Experience implementing Infrastructure as Code practices
• Exposure to cloud-native operations, platform engineering, and site reliability methodologies
• Experience supporting monitoring, logging, alerting, and operational observability solutions
• Knowledge of Terraform, Crossplane, and New Relic is considered an advantage
• Experience collaborating with cross-functional engineering, QA, security, and operations teams
• Strong analytical, troubleshooting, and problem-solving capabilities
• Effective verbal and written communication skills
  
  

Work Conditions

Work Schedule

• PH Time: Monday to Friday, 4:00 PM to 1:00 AM PHT (Golden Hours)
  
  

On-Call Requirements

• Occasional overtime and on-call support may be required based on operational or project needs