AVP/VP, DevOps Engineer (Singapore)

Job description

As a DevOps Engineer at SMBC based in our Singapore office, you will be a key contributor to building, optimizing, and maintaining the infrastructure automation foundation for our digital banking transformation across the Asia Pacific region. Requiring 4+ years of professional engineering experience, this position aligns with an AVP to VP title, focusing on hands-on platform engineering, dual-track CI/CD pipeline development (infrastructure and applications), and system reliability. Operating out of our regional headquarters, you will collaborate heavily with engineering and delivery counterparts in Chennai and across APAC to drive standard DevOps practices, maximize developer productivity, and manage complex production-tier promotions. You will solve real enterprise-scale infrastructure challenges daily—building automated security guardrails, tuning containerized deployments using modern Infrastructure as Code, and leveraging advanced AI development approaches to accelerate platform evolution across our digital banking ecosystem. About the Opportunity Platform Evolution: Architect and maintain secure, automated cloud-native environments using declarative frameworks like Terraform and Bicep. Dual-Track CI/CD Architecture: Own end-to-end delivery pipelines, supporting both foundational cloud infrastructure builds and microservices application code deployments. AI-Driven Engineering: Incorporate modern AI-assisted development paradigms to accelerate infrastructure scripts, code reviews, and system optimizations. Cross-Hub Collaboration: Partner natively across our technical footprints in Singapore and Chennai to unify multi-tier pipeline promotions. Key Responsibilities Infrastructure as Code & Cloud Automation Cloud Platform Engineering: Build and maintain highly available, secure, and compliant cloud infrastructure on Azure (or AWS/GCP) aligning with enterprise banking security standardizations. Declarative Provisioning (IaC): Develop, modularize, test, and govern environment deployments using Infrastructure as Code tools specifically focused on Terraform or Bicep templates. Container Orchestration: Deploy, scale, and troubleshoot containerized digital banking architectures leveraging Docker and Kubernetes/AKS clusters. Environment Governance: Configure, maintain, and safeguard stability parameters across Development, SIT, UAT, and live Production environments. Dual-Track CI/CD Engineering & Developer Productivity Infrastructure Pipeline Development: Design and implement automated pipelines tailored specifically to orchestrate cloud resource lifecycles, tracking drift control and compliance validations. Application Pipeline Development: Establish continuous integration and continuous deployment setups (GitLab CI, GitHub Actions, or Azure DevOps) to rapidly compile, test, containerize, and deploy core digital banking web and mobile software packages. AI-Assisted Development: Adopt and embed modern AI development approaches—utilizing frameworks like GitHub Copilot or Claude Code—to accelerate scripting pipelines, audit infrastructure syntax, and drive developer productivity. Scripted Task Automation: Build custom operational tools and automate regular environment hygiene tasks using core engineering languages like Python, Bash, or Go. Observability, Security & Compliance Observability Implementations: Configure application and platform logging, distributed tracing, and telemetry alert rules using dashboards such as Prometheus, Grafana, Splunk, or ELK. DevSecOps Integration: Embed automated compliance guardrails, vulnerability scans, and secure vaulting mechanisms (e.g., HashiCorp Vault, Azure Key Vault) directly within delivery pipelines. Banking Compliance Support: Ensure all automation configurations comply with rigorous financial regulatory controls, participating in security reviews and executing remediation paths. Required Qualifications Technical Expertise Must demonstrate high proficiency in at least 4 of the following areas: Infrastructure as Code (IaC) Mastery: Production-proven knowledge compiling, testing, and scaling cloud automation frameworks using Terraform or Bicep to manage complex landing zones. Dual-Track CI/CD Orchestration: Proven experience designing or optimizing distinct pipelines for both cloud infrastructure provisioning and multi-tier application software releases (GitLab CI, GitHub Actions, or Azure DevOps). AI-Assisted Engineering Tools: Hands-on experience or functional familiarity with modern AI development approaches, specifically utilizing code generation and software development assistants like GitHub Copilot or Claude Code to maximize velocity. Cloud Infrastructure Exposure: Practical engineering knowledge of cloud platform management—specifically Azure core computing, storage network blocks, and integrated firewalls. Container Management: Practical experience working with Docker runtime engines and container orchestration platforms like Kubernetes (AKS/EKS). Automation Languages: Proficiency using scripting and programming logic via Python, Bash, Go, or PowerShell to manipulate payloads and automate tasks. Observability Foundations: Experience deploying or adjusting log-correlation alerts and telemetry monitors (Grafana, Prometheus, Splunk, Datadog, or Azure Monitor). Source & Workflow Management: Advanced Git mechanics including secure branch protection, release tagging, and standard pull request lifecycles. Experience & Education 4+ years of professional hands-on experience across DevOps, Platform Engineering, Cloud Infrastructure Automation, or Systems Engineering tracks (corporate title allocation from AVP to VP will match verified expertise). Demonstrated background building or upgrading CI/CD architectures and automating system environments to decrease software turnaround time. Experience collaborating inside structured, high-availability setups—previous experience in banking, financial utilities, or highly regulated digital platforms is a distinct advantage. Familiarity with regional technology risks frameworks (such as MAS TRM guidelines) is considered highly beneficial. Education: Bachelor's degree in Computer Science, Information Technology, or an equivalent technical or quantitative discipline. Professional Qualities Automation-First Philosophy: Consistently looks for programmatic patterns to simplify manual delivery roadblocks and eliminate operational toil. Analytical Problem Solver: Approaches delivery breaks, platform bugs, and code exceptions with a methodical, root-cause tracking mentality. Effective Communicator: Capable of articulating infrastructure layouts, architectural blockers, and pipeline rules cleanly to engineering squads and regional stakeholders. Cross-Hub Collaborator: Enjoys working as a single aligned unit with regional counterparts situated across Singapore and Chennai hubs.