AP - Senior DevOps Engineer (Remote)
D2B
| Company | D2B |
| Category | Engineering |
| Location | Philippines |
| Remote | Remote |
| Employment | Full-time |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 19 Jul 2026 |
| Last verified | 31 Jul 2026 |
| Source | Employer career page (workable) |
Description
Note: This is for active pooling purposes only. Submitting your application does not guarantee employment. Your details will be kept on file and considered for future opportunities as they become available. We are seeking a highly skilled and self-sufficient Senior DevOps Engineer to join our team. In this remote role, you will be responsible for maintaining and strengthening a Kubernetes-based hosting platform that powers client websites and applications for a digital agency. You'll play a critical role in ensuring the reliability, security, automation, and scalability of the platform while collaborating with a small engineering team to deliver high-quality infrastructure and operational excellence. Position: Senior DevOps Engineer Salary: AUD 2,700 – AUD 3,500 per month (final offer depends on qualifications and experience) Working Hours & Conditions: AU Business Hours; Full-time (Remote) Holidays: TBD Responsibilities: Maintain and support a Kubernetes-based hosting platform and AWS infrastructure for Drupal and Laravel applications Migrate, configure, and optimize client applications into Kubernetes environments Monitor platform health and respond to outages, incidents, and security events with a calm and methodical approach Execute deployments and go-live activities while maintaining and improving CI/CD pipelines Manage identity and access across Google Workspace, Atlassian, hosting platforms, and version control systems Support employee onboarding and offboarding, including device management and access provisioning Contribute to ISO 27001 and SOC 2 compliance by maintaining security controls, documentation, and audit readiness Build, maintain, and improve monitoring, logging, and alerting systems to proactively identify issues Manage DNS, domain records, and SSL/TLS certificate lifecycles for client and internal environments Perform backup validation, disaster recovery testing, and recovery drills to ensure business continuity Assist in managing cloud infrastructure costs, SaaS subscriptions, vendor relationships, and renewals Drive automation initiatives by replacing manual operational tasks with scripted workflows and leveraging AI where appropriate Collaborate with developers and platform engineers to continuously improve infrastructure reliability, security, and deployment processes Stay up to date with DevOps best practices, cloud technologies, automation tools, and emerging industry trends Requirements Qualifications: Proven experience as a Senior DevOps Engineer, Platform Engineer, Site Reliability Engineer (SRE), or similar role Strong Linux systems administration skills with experience in scripting and automation using Bash, Python, or similar languages Hands-on experience with Kubernetes, containerized workloads, Docker, and AWS cloud infrastructure Experience migrating and configuring applications across Kubernetes environments Strong understanding of CI/CD pipelines and deployment automation (Bitbucket Pipelines or similar) Experience with workflow automation platforms such as n8n or equivalent automation tools Excellent troubleshooting and incident response skills in production environments Solid understanding of infrastructure security, identity and access management, and least-privilege principles Exposure to compliance frameworks such as ISO 27001 and/or SOC 2 Experience working within governed and access-controlled environments Ability to work independently and confidently manage complex infrastructure with minimal supervision Strong communication, collaboration, and documentation skills Demonstrated experience using automation and AI to improve DevOps workflows and operational efficiency Highly Regarded: Personal projects, home labs, or side projects demonstrating passion for automation and infrastructure Practical use of AI tools in DevOps or platform engineering workflows E
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