1143 | Senior DevOps Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 16h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 11d ago
The date the source published, not the day we noticed it (2026-09-04). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Philippines, New Zealand
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay A$2,062–3,050/mo
Middle 50% of 11 listings that do state pay — Engineering · all levels · Philippines · AUD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 10d ago · last seen just now
The listing
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 a Senior 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