DevOps Automation Engineer

Quantrics — Philippines · Posted ~23 hours ago

Mid Full-time Remote

Skills

DevOps Automation CI/CD Cloud infrastructure Monitoring Infrastructure management Cloud

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Summary ✨ AI‑Generated

A remote DevOps engineering role focused on improving software delivery through automation, infrastructure optimization, monitoring, and cloud-native practices.

Highlights

Remote opportunity focused on automation, cloud environments, reliability improvements, and collaboration across engineering teams.

Description

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 reliabilityImplement DevOps best practices to support continuous integration, continuous delivery, and operational efficiencyOptimize 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 efficiencyProvision and maintain infrastructure resources to support business and application requirementsEvaluate and improve infrastructure configurations to enhance operational stability Container Platform Administration Deploy, manage, and scale containerized workloads to support highly available application environmentsMaintain platform health and reliability through proactive capacity planning and troubleshooting activitiesImplement resilient deployment strategies to minimize service disruptions Infrastructure as Code & Platform Engineering Develop and maintain infrastructure automation frameworks to improve environment consistency and governanceStandardize provisioning and configuration processes to support operational efficiency and repeatabilitySupport 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 responsivenessInvestigate and resolve infrastructure and application performance issues to maintain service reliabilityDevelop 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 processesProvide technical guidance and operational support to improve platform adoption and engineering productivityContribute 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 scalabilityAWS Cloud Infrastructure Management: Ability to provision, manage, optimize, and secure cloud-based environments while ensuring operational stability and performanceKubernetes Administration: Ability to deploy, manage, troubleshoot, and optimize containerized applications and Kubernetes environmentsInfrastructure as Code (IaC): Ability to automate infrastructure provisioning, configuration management, and environment standardization through code-driven approachesSite 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 healthCollaborative Problem Solving: Ability to work effectively across technical teams to resolve operational challenges and drive continuous improvementInnovation 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 AutomationAdditional technical certifications related to cloud infrastructure and platform engineering Professional Qualification/s Minimum 3 years of hands-on DevOps engineering experienceMinimum 2 years of experience managing AWS cloud environmentsMinimum 2 years of experience working with Kubernetes in production environmentsExperience building and supporting CI/CD pipelines and deployment automationExperience implementing Infrastructure as Code practicesExposure to cloud-native operations, platform engineering, and site reliability methodologiesExperience supporting monitoring, logging, alerting, and operational observability solutionsKnowledge of Terraform, Crossplane, and New Relic is considered an advantageExperience collaborating with cross-functional engineering, QA, security, and operations teamsStrong analytical, troubleshooting, and problem-solving capabilitiesEffective 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