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DevOps & Release Engineer

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Onsite

DevOps & Release Engineer

Cloud Kinetics

DevOps & Release Engineer

Skills

Google Cloud PlatformPythonAWS LambdaKafkaGitLabBitbucketDatadogGrafanaAIAWSAnsiblePrometheusLinuxJiraConfluenceComplianceTerraform

3 days ago

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Important information


Contract type:

Freelance / Contract

Location:

Petaling Jaya, Selangor, Malaysia

Work mode:

Onsite

Published on:

19 October 2026

What they need


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. 3+ 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.

Skills & Competencies

  1. Automation & Scripting : Proficiency in scripting languages (Python, Bash, PowerShell) and automation frameworks.
  2. Monitoring & Observability : Expertise with Grafana, Datadog, Prometheus, OpenTelemetry, etc.
  3. Reliability & Resilience : Strong focus on scalability, DR, HA, and operational excellence in 24x7 environments.
  4. Collaboration & Communication : Skilled in cross-functional collaboration, documentation, and stakeholder communication.
  5. Compliance & Security Awareness : Knowledge of industry standards, regulatory requirements, and secure DevOps practices.

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