J

DevOps Engineer

Jobgether • Australia
Remote
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AI Summary

Join a high-performing engineering team responsible for building and maintaining scalable infrastructure that supports large-scale digital platforms. This role is ideal for an experienced DevOps professional who enjoys automating complex environments, improving deployment pipelines, and enhancing system reliability across cloud and on-premises infrastructure.

Key Highlights
Design, implement, and promote modern DevOps practices
Deploy, manage, and optimize Kubernetes clusters
Build, maintain, and continuously improve CI/CD pipelines
Key Responsibilities
Design, implement, and promote modern DevOps practices that strengthen collaboration between development, QA, and operations teams.
Deploy, manage, and optimize Kubernetes clusters across both cloud-based and on-premises environments to ensure scalability and resilience.
Build, maintain, and continuously improve CI/CD pipelines, enabling reliable and efficient software delivery.
Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) and Configuration as Code (CaC) methodologies.
Enhance platform observability by implementing monitoring, logging, alerting, and performance optimization solutions.
Administer Linux-based infrastructure while ensuring security, availability, and operational excellence.
Collaborate with engineering teams to troubleshoot production issues, optimize deployment workflows, and improve infrastructure reliability.
Contribute to the ongoing evolution of cloud infrastructure, automation strategies, and platform performance.
Technical Skills Required
Kubernetes Infrastructure as Code (IaC) Configuration as Code (CaC)
Benefits & Perks
Flexible work arrangement with the option to work remotely
Fully remote onboarding process
Annual or quarterly performance-based bonus opportunities

Job Description


This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a DevOps Engineer based in Australia.

Join a high-performing engineering team responsible for building and maintaining scalable infrastructure that supports large-scale digital platforms. This role is ideal for an experienced DevOps professional who enjoys automating complex environments, improving deployment pipelines, and enhancing system reliability across cloud and on-premises infrastructure. You'll collaborate closely with development, QA, and operations teams to streamline software delivery while driving modern DevOps practices throughout the organization. With opportunities to work on cutting-edge technologies and contribute to mission-critical platforms, this position offers a collaborative environment where innovation, continuous improvement, and technical excellence are highly valued.

Accountabilities

  • Design, implement, and promote modern DevOps practices that strengthen collaboration between development, QA, and operations teams.
  • Deploy, manage, and optimize Kubernetes clusters across both cloud-based and on-premises environments to ensure scalability and resilience.
  • Build, maintain, and continuously improve CI/CD pipelines, enabling reliable and efficient software delivery.
  • Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) and Configuration as Code (CaC) methodologies.
  • Enhance platform observability by implementing monitoring, logging, alerting, and performance optimization solutions.
  • Administer Linux-based infrastructure while ensuring security, availability, and operational excellence.
  • Collaborate with engineering teams to troubleshoot production issues, optimize deployment workflows, and improve infrastructure reliability.
  • Contribute to the ongoing evolution of cloud infrastructure, automation strategies, and platform performance.

Requirements

  • 4+ years of professional experience as a DevOps Engineer or in a similar infrastructure automation role.
  • At least 2 years of hands-on experience with Configuration as Code, preferably using Ansible.
  • Proven experience implementing Infrastructure as Code in cloud environments, ideally with AWS and Terraform.
  • Strong expertise in designing, configuring, and maintaining CI/CD pipelines using Jenkins.
  • Experience with monitoring and logging platforms such as Prometheus, Grafana, Loki, and the ELK Stack.
  • Advanced Linux system administration skills and strong knowledge of networking concepts, including routing, VPNs, DNS, load balancing, and firewalls.
  • Proficiency in at least one scripting or programming language such as Go, Python, or Groovy.
  • Experience with Kubernetes administration; familiarity with on-premises Kubernetes distributions (such as Rancher) is an advantage.
  • Experience working with VMware vSphere environments is considered a plus.
  • Strong problem-solving abilities, excellent communication skills, and a collaborative mindset within Agile engineering teams.

Benefits

  • Flexible work arrangement with the option to work remotely.
  • Fully remote onboarding process.
  • Annual or quarterly performance-based bonus opportunities.
  • Continuous learning and career development through internal resources, company libraries, and partner training programs.
  • Comprehensive health and life insurance coverage.
  • Employee wellbeing initiatives, including access to professional psychological support.
  • Mobile communication expense reimbursement.
  • Opportunity to work with modern cloud-native technologies on large-scale, high-impact digital platforms.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.


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