Providend Holding Private Limited · MyCareersFuture · 2mo
Azure DevOps Engineer (Cloud Platform & Infrastructure)
Singapore, Central- Posted
- 2026-07-20 (2mo)
- Place
- Singapore, Central
- Commitment
- Full Time
- Salary
- SGD 6,000 – 8,000 / month
- Experience
- 4+ YOE
- Department
- Engineering
- Source
- MyCareersFuture (the employer’s own listing)
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Skills in this posting
PythonJavaScriptGoShell ScriptingBashCode ReviewCloudflareKubernetesCI/CDTerraformInfrastructure as CodeLinux
We are seeking a pioneering Azure DevOps Engineer to build our software delivery ecosystem. While our business has decades of financial expertise, our internal software engineering function is a brand-new, founding-team initiative. You will help architect our greenfield Azure cloud platform , collaborate with the vendor on deployment infrastructure, and help set the operational and security foundations for the agentic AI capability Providend is building over time. This is a genuine zero-to-one opportunity: broader ownership and faster growth than a typical DevOps role at a larger organization.
Key Responsibilities:
• Container & Cluster Orchestration: Architect, secure, and manage containerized workloads using Azure Kubernetes Service (AKS) or Azure Container Apps (ACA) to host software services and agentic infrastructure.
• Edge Security & Routing: Manage global networking, secure application perimeters, and DNS management using Cloudflare , in coordination with Providend Technology’s existing Entra ID / Conditional Access controls — designed as a complementary layer, not a duplicate identity plane.
• Zero Trust Access Control: Manage Cloudflare Access (Zero Trust) to enforce strict, identity-aware access controls for internal tools, APIs, and sandboxed environments without relying on traditional VPNs.
• Vendor Collaboration & Knowledge Transfer: Work closely with the external CRM development vendor to architect deployment infrastructure and plan the eventual phase-out of their services.
• CI/CD Pipeline Automation: Build and maintain deployment pipelines, incorporating agentic automation for routine, non-critical operations (code review support, release branching, environment promotions for non-financial-critical services).
• Infrastructure Guardrails for Financial Systems: Apply rigorous change management and rollback discipline to any infrastructure supporting business-critical proprietary system. Autonomous agent-applied fixes are permitted for non-critical infrastructure; any remediation touching the business-critical system’s deployment or infrastructure path requires human approval before execution.
• Growth Area — AI Infrastructure: As Providend’s agentic AI capability matures, this role will grow to include operating LLMOps tooling and hosting MCP servers on our Azure platform. No prior experience required — training and mentorship will be provided as this expands.
Qualifications & Requirements
• Experience Level: 4–6 years of experience in DevOps, Site Reliability, or Cloud Infrastructure roles.
• Azure Cloud Expertise: Solid proficiency provisioning and operating AKS or ACA , and Infrastructure as Code( Terraform / OpenTofu ).
• Production Infrastructure for Financial Platforms: Experience operating and securing production cloud infrastructure that hosts financial or transactional systems — deployment pipelines, monitoring, and incident response for environments where downtime or a bad deploy can affect live client-money systems. Comfortable working within strict change-control and rollback discipline, even without owning the underlying data architecture.
• Zero Trust & Edge Networking: Hands-on experience with Cloudflare (or equivalent) for DNS, edge security, and Zero Trust access control.
• Programming & Scripting Proficiency: Solid coding skills in Python, Go, or JavaScript; proficiency in Linux Shell scripting (Bash) and YAML for CI/CD workflow orchestration.
• Founding Team Mindset: High adaptability for a “zero-to-one” small team environment, with the communication skills needed to manage vendor handovers.
Nice to Have
• Familiarity with MAS Technology Risk Management (TRM) guidelines, change management, or data residency requirements in a financial services / MAS-regulated environment.
• Exposure to, or willingness to learn, LLMOps platforms (e.g. Langfuse, LangSmith, Braintrust, Humanloop, Arize Phoenix) covering observability, LLM evaluation, and prompt management.
• Interest in developing fluency with modern AI-assisted engineering tools, such as Cursor or Claude’s feature set (Claude Code, Projects, Artifacts).
• Exposure to LLM-based code review tooling in CI/CD(e.g. Claude Code Review, CodeRabbit, or equivalent).
• Experience managing vendor transitions or insourcing software capabilities.
• Background working in financial services or fintech environments.
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