Senior Devops Engineer

Cloud Kinetics

Petaling Jaya

Sur place

MYR 240 000 - 360 000

Plein temps

Il y a 7 jours
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Résumé du poste

Cloud Kinetics is seeking an senior infrastructure/DevOps leader to design and optimize CI/CD pipelines, automate infrastructure with Terraform and Ansible, and oversee hybrid cloud deployments (primarily AWS). The role emphasizes SRE practices, robust monitoring, and secure, compliant delivery across multi-team projects.

You will guide toolchains (GitLab, Jira, Confluence) and collaborate with product, engineering, and operations to drive automation, reliability, and scalable systems.

Qualifications

  • 10+ years of hands-on experience in infrastructure engineering, automation, and DevOps across hybrid environments (data center and cloud).
  • Strong background in VMware stacks, Linux/Wintel systems, storage, and server administration within data centres.
  • Experience with AWS o​n IaaS, PaaS, SaaS deployments in the cloud.
  • Extensive involvement in CI/CD pipeline development, release engineering, and Infrastructure as Code (Terraform, Ansible, CloudFormation).
  • Experience with monitoring/observability tools (Grafana, Datadog, Prometheus, OpenTelemetry) in 24x7 operations.
  • Proven ability to collaborate with product and engineering teams on deployments, automation, and reliability improvements.

Responsabilités

  • Lead design, implementation, and optimization of CI/CD pipelines for product and engineering deployments.
  • Drive automation using Terraform, Ansible, Atlantis, and related tooling for infrastructure across on‑prem and cloud.
  • Oversee cloud and hybrid operations, including AWS services, containers, RDS, serverless stacks, IAM, and SSO.
  • Champion SRE practices for HA, DR, monitoring, and alerting.
  • Manage and integrate toolchains (GitLab, Bitbucket, Jira, Confluence, Slack, PagerDuty, Grafana, Datadog, Prometheus, OpenTelemetry).
  • Ensure security/compliance across deployments, aligning with financial regulations.
  • Partner with product/engineering/ops to drive automation, scripting, scheduling, and continuous improvement.
  • Provide technical leadership in customer-facing scenarios, especially in financial services contexts.
  • Establish and maintain technical documentation, release governance, and decision frameworks.
  • Manage cloud-native services and AI-driven capabilities to enhance DevOps resilience.

Description du poste

KEY RESPONSIBILITIES
  1. Pipeline & Release Management: Lead the design, implementation, and optimization of CI/CD pipelines for product and engineering deployments.
  2. Infrastructure as Code (IaC): Drive automation using Terraform, Ansible, Atlantis, and related tooling to manage infrastructure across on-prem and cloud environments.
  3. Cloud & Hybrid Operations: Oversee deployments and operations across cloud computing platform (primarily AWS) including containers, RDS, serverless stacks, IAM, and SSO.
  4. Reliability Engineering: Champion SRE principles, ensuring high availability (HA), disaster recovery (DR), monitoring, and alerting practices.
  5. Toolchain Leadership: Manage and integrate tools such as GitLab, Bitbucket, Jira, Confluence, Slack, PagerDuty, Grafana, Datadog, Prometheus, and OpenTelemetry.
  6. Security & Compliance: Ensure adherence to compliance frameworks, including financial regulations (e.g., Bank Negara RMIT), and enforce security standards across deployments.
  7. Collaboration & Leadership: Partner with product, engineering, and operations teams to drive automation, scripting, scheduling, and continuous improvement.
  8. Customer & Stakeholder Engagement: Provide technical leadership in customer-facing scenarios, especially within financial services environments.
  9. Documentation & Governance: Establish and maintain technical documentation, release governance, and decision-making frameworks.
  10. 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
  1. 10+ years of hands-on experience in infrastructure engineering, automation, and DevOps practices across hybrid environments (data center and cloud).
  2. Strong background in VMware stacks, Linux/Wintel systems, storage, and server administration within data centres.
  3. Practical experience in cloud computing platforms primarily AWS working on IaaS, PaaS, and SaaS
  4. Extensive involvement in CI/CD pipeline development, release engineering, and Infrastructure as Code (Terraform, Ansible, CloudFormation).
  5. Experience with monitoring and observability tools (Grafana, Datadog, Prometheus, OpenTelemetry) in 24x7 operational environments.
  6. Demonstrated ability to collaborate with product and engineering teams on deployments, automation, and reliability improvements.
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