1143 | Senior DevOps Engineer

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.

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.

• 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.

• 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.

• 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.