Service Reliability Engineer
Key Responsibilities:
- Automation Engineering – Design and implement automation solutions (Rundeck, Ansible, Terraform, custom scripts in Python/Bash/PowerShell) to reduce manual effort, eliminate repetitive tasks, and accelerate service delivery.
- Service Reliability & Availability – Engineer improvements that increase the resilience, recovery, and performance of infrastructure managed services.
- Monitoring & Observability Enablement – Build and optimize automated monitoring, alerting, and logging workflows (e.g., Splunk) to enhance proactive issue detection and recovery.
- Workflow Orchestration – Develop and manage end-to-end automation workflows that integrate APIs, microservices, and Accenture assets to standardize and scale operations.
- Continuous Improvement – Lead initiatives that drive efficiency, reliability, and velocity in service delivery through automation-first practices.
- Collaboration & Client Value – Work with global delivery teams and client stakeholders to embed automation into service delivery, demonstrating measurable improvements in reliability and efficiency
Must have:
- Good Knowledge of Linux Systems
- Proficiency in scripting and automation: Python, Bash, PowerShell
- Familiarity with cloud platforms: AWS, Azure, or GCP.
- Hands-on experience with Splunk for monitoring, logging, and analysis.
- Solid understanding of automation frameworks: Ansible, Terraform, Rundeck.
- Experience with Git and version control practices.
- Strong automation mindset, critical thinking, and problem-solving ability.
Nice to have
- operations support experience in enterprise environments.
- Experience with ITSM tools such as ServiceNow.
- Exposure to enterprise-scale reliability engineering practices
- Knowledge of API and microservices integration.
Ho Chi Minh City
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