{"id":1351056,"url":"https://alion.io/job/dbs-engineering-team-lead-digital-transformation-institutional-banking","title":"Engineering Team Lead, Digital Transformation, Institutional Banking","company":{"id":451141,"name":"DBS","domain":"dbs.com","url":"https://alion.io/company/dbs-4","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":282,"ghost_share":0,"stale_share":0.975,"repost_share":0,"time_to_fill_p50_days":20,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Guangzhou, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":92000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2175},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Angular","optional":false},{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Docker","optional":false},{"name":"Java","optional":false},{"name":"Kanban","optional":false},{"name":"Kubernetes","optional":false},{"name":"Rest API","optional":false},{"name":"Scrum","optional":false},{"name":"Spring Boot","optional":false},{"name":"Spring Cloud","optional":false},{"name":"SQL","optional":false},{"name":"JavaScript","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-08-21T00:00:00Z","employer_posted_date":"2026-08-21","last_verified_at":"2026-10-21T21:04:49Z","board_verified":true,"closed_at":null,"days_open":62,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":62},"description":"Job Objective\nGroup Technology enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group Technology, we digitalise majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.\nThis role will lead the design and delivery of digital channels transformation projects (IDEAL Revamp) across multiple business domains under the Institutional Banking Group, ensuring the platform is scalable, secure, resilient, and aligned with the bank’s strategic objectives. The successful candidate will combine strong banking domain expertise with deep hands-on engineering knowledge, modern software architecture experience, and proven leadership of large engineering organizations.\nPrincipal Responsibilities\nLead engineering delivery for corporate digital channels transformation across business domains including Payments, Trade Finance, Accounts, Entitlements, Approvals, etc.\nPartner closely with business stakeholders to understand strategic objectives and translate business requirements into scalable technology solutions.\nLead solution architecture, technology selection, engineering standards, and development practices across the platform.\nEstablish and enforce enterprise engineering standards covering architecture, API design, microservices, event-driven systems, security, observability, testing, and release management.\nProvide hands-on technical leadership through architecture reviews, solution reviews, code reviews, design governance, and production readiness assessments.\nLead engineering teams in DBS Technology China and vendor partners while ensuring high-quality delivery and predictable execution.\nDrive DevSecOps and engineering excellence initiatives including CI/CD, automated testing, performance engineering, resiliency testing, observability, and production support practices.\nChampion adoption of AI-enabled software engineering practices and development accelerators across the engineering organization.\nEstablish governance and controls for the use of AI engineering tools to ensure compliance with architecture, security, risk, and regulatory standards.\nEducation and Relevant Experience\nBachelor's Degree in Computer Science or equivalent.\nMinimum 10 years of software engineering experience with at least 8 years leading large-scale banking technology programmes.\nProven experience delivering enterprise-scale Corporate Internet Banking, Transaction Banking, Cash Management, Payments, Digital Banking, or Corporate Banking platforms.\nStrong understanding of banking products and processes including:Payments and Cash Management\nTrade Finance\nAccounts and Deposits\nEntitlements and Access Control\nApproval Workflows and Maker-Checker Processes\nCustomer Notifications and Alerts\nRegulatory, Audit, and Risk Controls\n\nExtensive experience designing and delivering enterprise platforms using:Microservices Architecture\nEvent-Driven Architecture\nDomain Driven Design (DDD)\nAPI-First Architecture\nCloud-Native Design Patterns\nMicro Frontend (MFE) Architecture\n\nStrong hands-on experience with:Java\nAngular\nSpring Boot\nSpring Cloud\nREST APIs\nKafka, AMQ, or Event Streaming Platforms\nSQL and NoSQL Databases\nDocker\nKubernetes\n\nStrong understanding of:DevSecOps\nCI/CD\nApplication Security\nSecure Coding Practices\nObservability and Monitoring\nSite Reliability Engineering (SRE)\nPerformance and Scalability Engineering\n\nDemonstrated ability to review complex architectures, technical designs, and codebases while guiding teams toward high-quality engineering outcomes.\nStrong stakeholder management and communication skills with the ability to engage senior business, operations, risk, and technology leaders.\nHands-on experience with AI-assisted software engineering tools and modern development accelerators, including:Claude Code\nGemini CLI\nGitHub Copilot\nAgentic AI Development Platforms\nAI-assisted Testing and Code Review Tools\n\nDemonstrated experience establishing governance and controls for AI-generated code and AI-assisted software delivery.\nExperience working in Agile delivery environments using Scrum, Kanban, SAFe, and DevOps operating models.\nCloud, Architecture, Security, Agile, or AI Engineering certifications will be an added advantage.\nLocation:\nGuangzhou (DTC)Job:\nTechnologySchedule:\nRegularEmployee Status:\nFull 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