1143 | Senior DevOps Engineer

Intetics 2; Philippines; Remote; PHP 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Paid Time Off

Work From Home

Training & Development

Job summary

Intetics Inc. is seeking a Senior DevOps Engineer to join a cybersecurity-focused platform team. You will keep production systems highly available, secure, and performant, using AI-assisted tooling to accelerate troubleshooting and incident response.

You will own and improve Kubernetes clusters, CI/CD pipelines, IaC, and cloud infrastructure across AWS, GCP, Azure, and OpenShift, delivering reliable, scalable services while mentoring peers and advancing automation.

Qualifications

• 8+ years of experience in SRE, DevOps, Cloud/Infrastructure Engineering, or related field.
• Hands-on with cloud providers (AWS, GCP, Azure) and OpenShift (OCP).
• Strong Kubernetes, containers, and production orchestration expertise.
• Experience with IaC (Terraform) and automation (Ansible, Python).

Responsibilities

• Maintain highly available, secure, patched, and performant production systems.
• Build and maintain Kubernetes clusters, CI/CD pipelines, and cloud infrastructure.
• Improve monitoring, alerts, dashboards, and automated remediation.
• Apply AI-assisted tooling to speed delivery and incident response.
• Provide technical leadership and mentor engineers toward automation and reliability.

Skills

Cloud platforms

Kubernetes

Infrastructure as Code

Python / Bash scripting

CI/CD pipelines

Observability tools

AI-assisted automation

Leadership / mentoring

Tools

Terraform

Ansible

GitHub

GitLab

Bitbucket

OpenShift

CloudWatch

Prometheus

Job description

Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is on the lookout for aSenior DevOps Engineer to join our team and provide exceptional customer support.

About the project:

The project is a cybersecurity platform that consolidates vulnerability, threat, and asset data to help organizations identify, prioritize, and remediate critical security exposures. It integrates data from a wide range of security tools and provides centralized capabilities for risk-based vulnerability management, workflow automation, and scalable exposure management.

Working hours are in UTC+10 / UTC+11.

What You Will Do

Maintain Reliable, Secure, and AI-Assisted Production Operations

Keep production systems highly available, secure, patched, and performant. Use AI-assisted tooling to accelerate troubleshooting, identify risks, analyze incidents, and improve operational response.

Build and Maintain Kubernetes, Cloud, and DevOps Infrastructure

Own and improve Kubernetes clusters, containerized workloads, Infrastructure as Code, CI/CD pipelines, and cloud infrastructure. Leverage AI-assisted development and automation tools to improve delivery speed, configuration quality, and operational consistency.

Build Observability and Automation That Reduces Toil

Improve monitoring, alerting, logging, dashboards, and automated remediation to identify issues earlier and reduce repetitive operational work. Apply AI and intelligent automation to correlate signals, surface anomalies, assist with root-cause analysis, and automate common SRE workflows.

Requirements

• 8+ years of experience in Site Reliability Engineering, DevOps, Cloud Engineering, Infrastructure Engineering, or related field.
• Strong hands-on experience with cloud platforms, including AWS, GCP, Azure, and/or OpenShift (OCP).
• Deep experience with Kubernetes, containers, and production container orchestration.
• Experience building and maintaining highly available, scalable, and secure production infrastructure.
• Strong experience with Infrastructure as Code, preferably Terraform, and configuration/automation tools such as Ansible.
• Strong scripting and automation skills using Python, Bash, or similar languages.
• Strong understanding of Linux, networking, security, cloud architecture, and distributed systems.
• Strong experience with observability and monitoring platforms such as Prometheus, Grafana, Loki, CloudWatch, or equivalent tools.
• Experience with incident response, root-cause analysis, production troubleshooting, and reliability engineering practices.
• Experience using AI-assisted engineering tools to improve infrastructure automation, troubleshooting, documentation, code generation, or operational workflows.
• Ability to identify opportunities where AI and automation can reduce operational toil, improve signal detection, and accelerate incident investigation.
• Experience building and maintaining CI/CD pipelines using GitHub, GitLab, Bitbucket, or similar platforms.
• Ability to provide technical leadership, mentor engineers, and help drive a culture of automation, reliability, and continuous improvement.

Minimal Requirements

• Minimum 8 years of experience in SRE, DevOps, Cloud Engineering, Infrastructure Engineering, or a related field.
• Strong hands-on experience with cloud providers like AWS, GCP, Azure, and OpenShift (OCP).
• Strong understanding of Linux, networking, security, cloud architecture, and distributed systems.
• Strong experience with Kubernetes, Infrastructure as Code (terraform, tofu, CloudFormation), and automation (Python, bash, PowerShell).
• Proven experience supporting highly available production systems, including observability, incident response, troubleshooting, and reliability improvements.

Preferred Qualifications

• Experience integrating LLMs or AI-enabled tools into engineering or operational workflows.
• Familiarity with AI-assisted log analysis, anomaly detection, incident summarization, or root-cause investigation.
• Experience building internal automation or tooling that combines APIs, scripting, infrastructure data, and AI models.
• Understanding of how to use AI safely in production engineering environments, including data security, access controls, validation, and human review.

Benefits

• Paid Time Off
• Work From Home
• Training & Development