C
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
- 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.
Skills & Competencies
- 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.
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