DevOps & Release Engineer
Summary
Designs, automates, and operates CI/CD pipelines and infrastructure as code (Terraform, Ansible) across hybrid on-prem and AWS cloud environments, championing SRE practices like HA, DR, and monitoring (Grafana, Datadog, Prometheus). Works in customer-facing, financial-services contexts with compliance requirements such as Bank Negara RMIT.
- Pipeline & Release Management: Lead the design, implementation, and optimization of CI/CD pipelines for product and engineering deployments.
- Infrastructure as Code (IaC): Drive automation using Terraform, Ansible, Atlantis, and related tooling to manage infrastructure across on-prem and cloud environments.
- Cloud & Hybrid Operations: Oversee deployments and operations across cloud computing platform (primarily AWS) including containers, RDS, serverless stacks, IAM, and SSO.
- Reliability Engineering: Champion SRE principles, ensuring high availability (HA), disaster recovery (DR), monitoring, and alerting practices.
- Toolchain Leadership: Manage and integrate tools such as GitLab, Bitbucket, Jira, Confluence, Slack, PagerDuty, Grafana, Datadog, Prometheus, and OpenTelemetry.
- Security & Compliance: Ensure adherence to compliance frameworks, including financial regulations (e.g., Bank Negara RMIT), and enforce security standards across deployments.
- Collaboration & Leadership: Partner with product, engineering, and operations teams to drive automation, scripting, scheduling, and continuous improvement.
- Customer & Stakeholder Engagement: Provide technical leadership in customer-facing scenarios, especially within financial services environments.
- Documentation & Governance: Establish and maintain technical documentation, release governance, and decision-making frameworks.
- Cloud-Native & AI-Driven Innovations: Manage serverless and cloud-native services including Functions-as-a-Service (e.g., AWS Lambda, Google Cloud Functions), queuing and messaging systems (e.g., SQS, Kafka, Pub/Sub), and integrate AI-driven capabilities (predictive monitoring, intelligent automation, anomaly detection) to enhance DevOps efficiency and resilience.
Work Experience
- 3+ years of hands-on experience in infrastructure engineering, automation, and DevOps practices across hybrid environments (data center and cloud).
- Strong background in VMware stacks, Linux/Wintel systems, storage, and server administration within data centres.
- Practical experience in cloud computing platforms primarily AWS working on IaaS, PaaS, and SaaS
- Extensive involvement in CI/CD pipeline development, release engineering, and Infrastructure as Code (Terraform, Ansible, CloudFormation).
- Experience with monitoring and observability tools (Grafana, Datadog, Prometheus, OpenTelemetry) in 24x7 operational environments.
- Demonstrated ability to collaborate with product and engineering teams on deployments, automation, and reliability improvements.
- Automation & Scripting: Proficiency in scripting languages (Python, Bash, PowerShell) and automation frameworks.
- Monitoring & Observability: Expertise with Grafana, Datadog, Prometheus, OpenTelemetry, etc.
- Reliability & Resilience: Strong focus on scalability, DR, HA, and operational excellence in 24x7 environments.
- Collaboration & Communication: Skilled in cross-functional collaboration, documentation, and stakeholder communication.
- Compliance & Security Awareness: Knowledge of industry standards, regulatory requirements, and secure DevOps practices.
Skills
- AI
- Anomaly Detection
- Ansible
- Automation
- AWS
- Bash
- Bitbucket
- CI/CD
- Cloud
- Cloud Native
- CloudFormation
- Confluence
- Datadog
- DevOps
- GCP
- GitLab
- Grafana
- IaaS
- IAM
- Infrastructure as Code
- Jira
- Kafka
- Lambda
- Linux
- Observability
- OpenTelemetry
- PagerDuty
- PowerShell
- Prometheus
- Python
- RDS
- SaaS
- Serverless
- Slack
- SQS
- SRE
- SSO
- Terraform
- VMware