DevOps Automation Engineer (Work from Home)
Quantrics Enterprises Inc.
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Job summary
Quantrics Enterprises Inc. in Metro Manila seeks a DevOps Automation Engineer to design and maintain automation, infrastructure, and operational practices supporting software delivery.
You will collaborate with development, QA, security, and operations to streamline processes and improve platform performance. The role emphasizes cloud-native infrastructure, CI/CD, monitoring, and incident response, with opportunities to influence automation strategy and enhance system availability across
Qualifications
- Bachelor's degree in CS/IT/Engineering or related field
- Minimum 3 years hands-on DevOps experience
- Experience managing AWS cloud environments
- Production Kubernetes in a cloud-native setup
Responsibilities
- Design and maintain automated deployment pipelines for speed and reliability
- Implement CI/CD practices to improve efficiency
- Architect and manage scalable cloud infrastructure
- Deploy and scale containerized workloads with Kubernetes
- Develop IaC frameworks to standardize provisioning
- Monitor, log, and respond to incidents to ensure reliability
Skills
Education
Tools
Job description
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.
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.
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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 cross 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
- Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related discipline
- Relevant certifications in AWS, Kubernetes, DevOps, Cloud, or Infrastructure Automation
- Additional technical certifications related to cloud infrastructure and platform engineering
- 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
- PH Time: Monday to Friday, 4:00 PM to 1:00 AM PHT (Golden Hours)
- Occasional overtime and on-call support may be required based on operational or project needs
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