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Cloud Kinetics

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DevOps & Release Engineer

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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

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See also

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