DevOps Engineer & Cloud engineer

We do have 2 openings DevOps engineer and Cloud engineer in Malaysia.

DevOps engineer

Job Description:

Key Responsibilities

• Execute migration of repositories and CI/CD pipelines from Azure DevOps and Bitbucket to GitHub and GitHub Actions.
• Build migration waves and prioritize workloads based on criticality, complexity, and business impact.
• Create reusable workflow templates and standardized CI/CD patterns for broad engineering adoption.
• Implement deployment promotion controls across DEV, SIT, UAT, and Production.
• Integrate SonarQube, Veracode, and Prisma scans into build and release workflows.
• Integrate and enforce ServiceNow production release gating, approvals, and audit traceability.
• Integrate and enforce JIRA SDLC release gating, approvals, and audit traceability.
• Troubleshoot migration and pipeline issues, optimize reliability, and support cutover/hypercare activities.
• Produce documentation, runbooks, and handover materials, support enablement of internal teams.
• Report progress, risks, and dependencies to engineering and management stakeholders.

Qualifications & Experience

• Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent relevant experience.
• Minimum 5 years in DevOps, Platform Engineering, or CI/CD engineering, with at least 2 years in enterprise migration/transformation programs.
• Proven hands-on delivery of large CI/CD migration initiatives, preferably with 200+ pipelines (500+ strongly preferred).
• Strong experience with GitHub repositories, branching/governance, and GitHub Actions workflow design and implementation.
• Strong Azure enterprise environment experience, including private networking, secure connectivity, and environment segregation.
• Demonstrated experience integrating SonarQube, Veracode, and Prisma into CI/CD pipelines.
• Experience integrating CI/CD release controls with ServiceNow and JIRA (or equivalent ITSM platform).
• Practical experience managing controlled release promotion across DEV, SIT, UAT, and Production.
• Experience in regulated sectors such as insurance or financial services, with compliance and audit awareness.
• Strong documentation and stakeholder communication skills in cross-functional enterprise settings.
• Relevant certifications in Azure, GitHub, DevOps, or cloud security are an advantage.

Key Competencies

• Technical Leadership: Able to drive migration outcomes hands-on and guide engineering teams.
• Delivery Focus: Executes effectively under tight timelines while maintaining quality and control.
• Automation and Standardization: Builds repeatable, scalable pipeline patterns that reduce manual effort.
• Risk and Control Mindset: Identifies and mitigates security, compliance, and release risks proactively.
• Security by Design: Embeds quality and security controls as mandatory gates in software delivery.
• Problem Solving: Diagnoses and resolves complex CI/CD and integration issues quickly.
• Communication and Influence: Communicates clearly with technical and non-technical stakeholders.
• Collaboration: Works effectively across engineering, security, infrastructure, and release teams.
• Ansible, or similar frameworks.
• Strong skills in Linux system administration and troubleshooting.
• Proficiency in Continuous Integration (CI) pipelines and deployment automation.
• Background in software development with an understanding of coding principles.
• Strong analytical and problem-solving abilities with attention to detail.
• Experience with version control systems and monitoring tools is a plus.
• Bachelor's degree in Computer Science, Engineering, or a related field is preferred.
• Relevant certifications in DevOps or cloud platforms (e.g., AWS, Azure, Google Cloud) are beneficial.

Cloud engineer

Job Description:

Key Responsibilities

• Design, develop, and maintain PowerShell automation scripts to support Azure infrastructure operations.
• Troubleshoot, debug, and optimize existing automation scripts for performance and reliability.
• Ensure scripts follow best practices for security, compliance, version control, and documentation.
• Collaborate with cloud architects and operations teams to further optimize the automation routine or develop new ones
• Integrate automation with CI/CD pipelines (GitHub Actions).

Core Qualifications

• Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.
• Scripting & Automation: Advanced proficiency in PowerShell (functions, modules, error handling, logging, remoting, parallelization, DSC/Desired State Configuration).
• Cloud: Strong hands-on with Microsoft Azure (ARM/Bicep or Terraform basics), Azure Resource Manager, Azure CLI/Azure PowerShell modules.
• CI/CD: Practical experience integrating automation with GitHub Actions (workflows, runners, secrets, environments, reusable workflows).
• Version Control: Proficient with Git (branching strategies, PRs, code reviews, tagging, semantic versioning).
• Security & Compliance: Familiarity with least privilege, secret management (Key Vault), secure credential handling, script signing, audit logging, and compliance documentation.

Experience

• Total: 5–8+ years in infrastructure engineering, SRE, DevOps, or platform engineering roles.
• PowerShell: 3–5+ years designing and maintaining production-grade PowerShell automation (modular, testable code; reusable functions; private/internal repositories; PSModules management).
• Azure Operations: 3+ years supporting Azure infrastructure operations (VMs, VNets, Storage, Key Vault, App Services, Azure Monitor/Log Analytics, Policy).
• Automation at Scale: Experience building idempotent scripts and jobs for provisioning, configuration, patching, and incident remediation.
• Troubleshooting: Demonstrated ability to debug and optimize scripts (profiling, reducing API calls, throttling/backoff, improving reliability/observability).
• Pipelines: Built or extended CI/CD pipelines for automation (linting, unit tests with Pester, artifact versioning, release gates, environment promotions).
• Collaboration: Worked closely with cloud architects and operations to translate runbooks and manual procedures into resilient automation.

Key Competencies

Technical (Must-Haves)

• PowerShell Engineering
• Advanced PowerShell syntax, modules, classes, and error handling (try/catch/finally, $ErrorActionPreference).
• Pester for unit/integration testing.
• Logging frameworks and structured output (JSON), writing to Azure Monitor/Log Analytics.
• Secure coding in PowerShell: SecureString, secret retrieval from Key Vault, certificate-based auth, MSI/Workload identity.
• Azure Automation Patterns
• Azure PowerShell & Azure CLI for resource lifecycle management.
• Automation via GitHub Actions: secrets, OIDC/Workload Identity Federation, matrix builds, conditional steps, reusable workflows.
• Artifact and module packaging (NuGet/PSGallery/private feeds).
• Observability: integrating run outputs with Azure Monitor, App Insights, and Log Analytics; alerting via webhooks/Teams.
• Reliability & Performance
• Implementing retries, exponential backoff, parallel processing (e.g., ForEach-Object -Parallel, jobs, runspaces), and resilience to Azure API limits.
• Idempotency and safe re-runs; rollback/compensating actions for failures.
• Baseline performance profiling (Measure-Command, tracing) and memory/handle leak avoidance.
• Governance & DevEx
• Git branching strategies (GitFlow/Trunk-Based), PR templates, code review practices.
• Documentation standards: inline comment-based help, README/runbooks, architectural decision records (ADRs).
• Compliance evidence: change logs, approvals, audit trails, script signing.
• Dependency management and version pinning for modules.

Technical (Nice-to-Haves)

• Infrastructure as Code: Bicep or Terraform (calling from PowerShell or pipelines).
• Azure services exposure: Functions, Automation Account/Runbooks, Managed Identities, API Management, Service Bus/Queues.
• Containers & Runners: Self-hosted GitHub runners, Docker basics, caching strategies in CI.
• Cross-platform scripting (PowerShell 7+ on Linux/macOS).
• Configuration management: DSC, Azure Automanage, Azure Policy remediation.
• Python/Bash for complementary tooling.

Behavioral/Soft Skills

• Ownership & Bias for Action: Drives automation opportunities end-to-end, from problem statement to production hardening.
• Systems Thinking: Understands dependencies across identity, network, and application layers when designing automations.
• Collaboration: Communicates clearly with cloud architects, platform, and operations; turns manual runbooks into maintainable code.
• Quality Mindset: Treats automation as product—testable, observable, documented, and supportable.
• Security-First: Design choices consistently reflect least privilege, secret hygiene, and auditability.