Total 5 Engineering job vacancies

• Own and execute the global engineering strategy, roadmap, and operating model aligned to business and digital priorities
• Rationalize legacy systems and reduce fragmentation across regions and domains; Establish clear domain ownership and platform boundaries
• Lead a globally distributed engineering organization across multiple regions, ensuring alignment, accountability, traceability, and delivery excellence
• Drive adoption and implementation of Agile at scale (SAFe 6.0), establishing consistent delivery practices and governance
• Build and scale AI-enabled engineering capabilities, including support for agentic systems, automation, and intelligent services embedded into platforms and operations
• Oversee end-to-end engineering across:
• Application development (web, mobile including iOS, Android, React Native, .Net, Angular)
• Platform engineering and architecture
• DevOps and CI/CD (Azure -DevOps, Bitbucket)
• QA and test automation
• Identity and access management (Okta, Auth0)
• Real-time systems and messaging integrations
• Performance and reliability engineering (Splunk, Site24x7, Uptrends)
• Lead cloud-native engineering and architecture on Microsoft Azure, including serverless (Azure Functions), APIs (.NET, Java), and scalable distributed systems
• Own the architecture and evolution of web, mobile, and messaging experience layers
• Drive adoption of modern frontend frameworks and headless/composable architecture
• Ensure consistent, personalized, omnichannel customer experiences
• Ensure engineering excellence across modern tech stack including Java, Node.js, .NET, and API-first Architectures
• Own platform scalability, performance, resilience, and security across all systems
• Partner with Data and Enterprise Services teams to enable real-time and data-driven capabilities
• Drive integration strategies across Salesforce, digital platforms, and enterprise systems
• Establish and lead Engineering Centers of Excellence (COEs) across key domains
• Build and foster a high-performance engineering culture focused on ownership, accountability, and continuous improvement
• Provide hands-on leadership, guidance, and mentorship to senior engineering leaders and teams
• Manage ISV and vendor relationships, ensuring alignment with enterprise architecture, cost efficiency, and long-term scalability
• Define and manage engineering KPIs, SLAs, and operational performance metrics
• Collaborate with Product and Digital Experience teams to ensure seamless delivery of customer-facing capabilities
• Support payment and transactional platform integrations including Adyen and related ecosystems
• Act as a strategic partner to Product, Data, CRM, and Service Delivery leadership to ensure end-to-end platform alignment
• Lead cross-functional decision-making on architecture, priorities, and trade-offs
• Influence executive stakeholders on platform investment and technology direction
• Platform reliability and performance (SLAs, SLOs, uptime, response times)
• Assists with other duties as assigned

At Citi, we get to connect millions of people across hundreds of cities and countries every day.  And we've been doing it for more than 200 years.  We do this through our unparalleled global network.  We provide a broad range of financial services and products to our clients – whether they be consumers, corporations, governments or institutions – to help them meet their biggest opportunities and face the world's toughest challenges.

The Digital S/W Eng Lead Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.

Responsibilities:

• Accountable for executing and driving results on large-scale efforts or multiple smaller efforts and serving as a development lead for most medium and large projects. This includes expertise with application development methodologies and standards for program analysis, design, coding, testing, debugging and implementation.

• Accountable for exhibiting a strong understanding of client core business functions.

• Required to support situations in which end user consultation is required to identify system function specifications and incorporate them into overall system design and delivery. Additionally, utilize comprehensive knowledge of multiple areas within technology to achieve technological objectives.

• Independent work style, requiring little or no guidance by more senior developers. Decisions will make a significant, measurable impact on the business goals for the client organization. During team discussions you will play a significant role with TPMs and engineering managers to determine potential risks to a schedule.

• Assist in the planning and managing of application development assignments generally involving large budgets, cross functional projects or multiple projects. This includes effectively understanding and analyzing both technical and business risks and impact.

• Expected to effectively communicate those risks to the business owners, so that they can make informed decisions.

• Accountable for providing guidance on architecturally significant efforts during the preplanning phase, and ensuring principles and best practices are followed prior to initiation of work. In doing so, closely watch and evaluate Digital roadmaps, including impacts to support upcoming journeys.

• Publish design review extensions, and provide documented guidance aligned to sprint plans and timelines.

• Be part of the design review board that will focus on the design process, search for generic patterns, and, at the same time, share best practices across the organization.

• Publish design patterns across lines of business and domain commonalities. Drive design reviews for Next Gen Architecture (NGA) and Plan of Record (POR) projects, supporting design principles and best practices.

• Participate in micro services and NGA code reviews.

• Empower SDEs and their teams by mentoring and coaching.

• Have a comprehensive understanding of the business domain, the systems, and the products in your space. Understand their accountabilities, boundaries, limitations, scale factors and the reasons behind architectural decisions.

• Provide a long-term perspective for business and technology choices; using technical judgment to vet architecture as required.

• Able to direct teams on how to develop and deliver systems that are efficient with resource usage such as hardware, runtime, performance, load, and memory requirements.

• Responsible for broader design decisions and development of long-term strategies that significantly influence the development process and standards.

• Accountable for Design Reviews of Agile and Plan of Record (POR) projects as well as accountable for Code Reviews of Next Gen Architecture (NGA) projects and are expected to elaborate, promote and communicate Design Patterns applicable to NGA architectures and solutions.

• Accountable for providing architectural guidance to the SDE’s based on best practices and in alignment with CTO guidelines and platform.

• Drive clarity and work with complete independence as business and or technical strategy is not defined.

• Provide the corresponding architectural guidance, and conduct design reviews and code reviews based on the projects assigned to your LOB. The product definition and technical planning is out of scope.

• Accountable for the overall strategy and for driving the teams inside and outside of your organization to deliver expected results. Drive mindful discussion with business and technical stakeholders that lead to timely decisions. Participate in discussions to drive smart trade-off decisions that balance efforts, delivery timelines, features, and technical constraints. Identify and remove blockers and always find the path forward in challenging situations.

• Create plans that have a clear path to delivery. Solve for dependencies between agile and waterfall delivery efforts. Help your teams organize for delivery while maximizing resources for the greater good of the Digital organization. Understand engineering best practices and apply best practices to the software development lifecycle (SDLC)

• Accountable for Design Reviews for Citi Agile and POR projects as well as Code Reviews for the NGA projects. Accountable for providing architectural guidance to the SDE’s based on best practices and in alignment with CTO guidelines and platform. Elaborate, promote and communicate Design Patterns applicable to NGA architectures and solutions.

• Elaborate, bring and communicate clear metrics on Design Reviews, Code Reviews, CI/CD and Design Patterns adoption.

• Communicate progress, anticipate bottlenecks, provide escalation management, identify, assess, track and mitigate issues/risks at multiple levels. Recognize discordant views and take part in constructive dialog to resolve them.

• Demonstrate the ability to implement continuous improvement and the induction of new technology. Demonstrate examples of influence in scrum teams beyond your own area of focus.

• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Recommended Qualifications: 

• 8-15 years of relevant experience in an Apps Development role or senior level experience in an Enterprise Architecture role with subject matter expert in one or more areas.

• Exhibit expertise in all aspects of technology by understanding broader patterns and techniques as they apply to Citi’s internal and external cloud platforms (AWS, PCF, Akamai)

• Lead resources and serve as a functional SME across the company through advanced knowledge of algorithms, data structures, distributed systems, networking, use of knowledge and experience to lead, architect, and drive broader adoption forward.

• Acquire relevant technology and financial industry skills (AWS PWS) and understand all aspects of NGA technology – including innovative approaches and new opportunities.

• Demonstrate knowledge on automating code quality, code performance, unit testing, and build processing in the CI/CD.

Education:

• Bachelor’s/University degree, Master’s degree preferred

The Senior Vice President, Engineering establishes the overall strategy and direction of the Engineering team with a view of growing its business and driving its competitiveness in a globalised environment. He/She ensures the strategic alignment of business plans with the organisation’s vision, mission and business objectives.

The Senior Vice President, Engineering oversees and provides leadership to engineering team to ensure that divisional deliverables are achieved in a timely and cost-effective manner. He/ She drives the continuous improvement through innovation, safety, productivity and efficiency initiatives. He/ She builds strong networks with diverse stakeholders and subsidiaries with a view of advancing the organisation’s interests. In addition, he/ she drives organisational capability development and succession planning to ensure a competent workforce and continuous talent pipeline.

The Senior Vice President, Engineering is a calculated risk-taker and strategic thinker with excellent business acumen. He/ She is decisive, results-driven and demonstrates exceptional leadership and communication abilities.

Support and collaborate with NSHD Group Engineering on Global Network and Programs within four cores

·       Support and initiate the Networking channel for the four cores.

·       Collaborate with MTG on HyCO business.

·       Participate in CoP program initiated by NGE and TNSC

Continue to have close engagement with group companies in Asia & Oceania to render Technical and Management support

·      Lead engineering team to provide support to subsidiaries in Proposal, Technical Review, Maintenance Review, Equipment Sourcing and Engineering programs

·       Communicate closely with all Management and Technical personnel in Group Companies.

·       To update the program’s progress constantly

·       Periodical visit after easing of boarder restriction

Initiate Project Execution Function and DX program in Asia & Oceania region.

·       Structure the Project Execution Function formation and promote to Group Companies.

·       Implement CMMS with developed GC.

·       Promote CMS and Telemetric system and standardize the requirement within Group Companies.

Continue to promote Technical Talent Development program in Asia & Oceania region.

·       Continue to identify good potential technical person from group companies in Asia & Oceania region.

·       Make recommendation for secondment to NSHS and other operating group companies.

Collaborate and support Safety and Quality group on their activities for Asia & Oceania region.

·       Participate in Safety audits with Group Companies.

·       Support in the investigation of safety and quality incidents.

·       Collaborate in safety and quality programs.

Lead manufacturing operations

·       Ensure the delivery of the organisation's business and annual production plans and schedules

·       Control capital and operational budgets

·       Recommend changes in production objectives, according to market conditions

·       Set strategic objectives for plant maintenance and asset integrity management systems

·       Drive the development of new and innovative products to improve customer value proposition

·      Drive continuous improvement through innovation, safety, productivity and efficiency initiatives

Drive business and organisational development

·       Provide leadership to uphold and shape the organisation's culture, values and behaviour

·       Drive organisational succession planning, capability and talent development

·       Build business and professional networks

·       Drive the formulation of technology strategies and roadmaps

·       Empower the senior management team to make decisions and ensure their accountability in achieving departmental performance targets

·      Synergise crisis management and business continuity plans to mitigate business impact during disruptive events

Establish strategy and direction

·       Lead business planning and strategic alignment with the organisation's business objectives

·       Steer the implementation of the organisation's business strategies

·       Lead strategic resource planning and management to optimise organisational capacity and capability

·       Establish business performance indicators and measurement standards

·      Establish the organisation's vision, objectives and strategy

·      Bachelor degree from reputable universities in Mechanical, Electrical, Chemical or relevant field.

·      At least 10 years of relevant working experience, of which 5 years of managerial experience in Gas and Chemical Industry.

·      Willing and able to travel

·      Possess initiative, drive and able to work independently and result-oriented.

·      English speaking & writing skill

·      Possess good communication and interpersonal skills for technical aspect

·      Energetic and positive attitude

. Proficiency in Auto CAD software

Build the Intelligence Layer of Singapore's National Logistics Carrier.

From Scratch.

SingPost is executing a foundational technology reset. Legacy platforms are being sunsetted. The entire digital backbone is being rebuilt — not modernised incrementally, but redesigned from first principles for the next decade of operations.

The Intelligence Layer — the AI/ML engineering division that will make those platforms smart — is being built from zero.

• No legacy models to maintain.

• No inherited pipelines to defend.

• No prior architectural decisions to work around.

• This is a greenfield AI/ML engineering remit at national logistics scale.

We are hiring a DVP, AI/ML Engineering to own the Intelligence Layer end-to-end — to frame AI problems, write feature pipelines, build the MLOps platform, govern AI in production, and grow a team of engineers who will carry SingPost's AI capability for the next decade.
 

OVERALL ROLE PURPOSE

SingPost moves items daily across our national postal, logistics, and e-commerce network. This massive data volume provides the foundation for the Intelligence Layer to generate automated decisions. The data is already available. The infrastructure is being rebuilt. What is missing is the AI/ML engineering layer that converts that data into decisions, predictions, and automation that move the business forward.

The DVP, AI/ML Engineering leads the Intelligence Layer — the engineering division responsible for building, deploying, and operationalising AI and machine learning systems that generate measurable business value across logistics, finance, and operations. Better delivery ETAs. Smarter routing. Automated exception handling. Financial risk prediction. The use cases are real, the data is available, and the platform is being built to support them.

This is a greenfield remit. There is no AI/ML team to inherit, no existing models to maintain, and no technical debt to defend. The DVP will define what production AI looks like at SingPost — the standards, the architecture, the governance model, and the team.

In the early months, before the team is built, the DVP carries significant personal technical output. This requires someone who is energised by building from nothing — not someone looking for an established platform to run.

Key Responsibilities and Result Areas

Hands-On AI/ML Engineering  (~30%)

• Frame every AI/ML problem in writing before a line of code is written: prediction target, success metric, data requirements, baseline — and the answer to 'what happens if this model is wrong?'

• Write production-grade feature engineering pipelines in Python: extract from BigQuery, transform, load into Vertex AI Feature Store; enforce training–serving consistency from the first pipeline

• Build and own Vertex AI Pipelines (Kubeflow SDK): full DAGs from data ingest through training, evaluation, conditional logic (skip training if drift threshold not met), and model registration

• Configure Vertex AI Online and Batch Prediction endpoints: autoscaling, traffic-split A/B testing, shadow mode — not just click through the UI, but write and own the configuration

• Implement Vertex AI Model Monitoring: skew/drift thresholds, alert triage runbooks, retraining triggers — you are the last line of defence before the business notices

• Build LLM/GenAI pipelines where they create real value: RAG design, embedding generation, retrieval chain, prompt template management, output evaluation harnesses

• Debug production failures hands-on: inspect pipeline run logs, query BigQuery prediction logs, reproduce feature pipeline failures locally — you do not wait for reports

AI Gateway & DSB Integration  (~15%)

• Define and enforce the AI Gateway integration standard: all Vertex AI endpoints served through Apigee; zero direct calls from applications or business platforms — catch violations in code review, not in production

• Own the API contract between Vertex AI serving endpoints and the Apigee proxy layer: request/response schema, latency SLA, error handling, and versioning strategy

• Partner with DVP, Digital Engineering Platforms on Apigee proxy policy configuration for AI endpoints: rate limiting, auth, payload validation, response caching

MLOps Platform Ownership  (~20%)

• Architect and own the MLOps platform on GCP: Vertex AI Pipelines (orchestrator), Feature Store (shared features), Model Registry (catalogue), BigQuery (training and evaluation store)

• Define and enforce model governance before a model touches production: model cards (mandatory), evaluation report sign-off, bias/fairness assessment, rollback test results, data lineage documentation

• Set the CI/CD standard for ML model artefacts: training triggered by code merge, evaluation gate before registration, automated promotion to staging, manual DVP sign-off for production

PDPA & Data Governance  (~10%)

• Enforce PDPA compliance for all AI/ML data: classify training datasets, apply column-level access controls in BigQuery, ensure all training jobs run within GCP Singapore (no data egress), maintain audit logs

• Own the PDPA impact assessment for every new AI use case — before development begins, not after

AI Acceleration Programme  (~10%)

• Own the Intelligence Layer's use case backlog: prioritise by business value and technical feasibility, not by what is technically interesting

• Report programme progress to VP in structured monthly updates — outcomes, not activity

• Evaluate AI tooling, foundation models, and agentic architecture patterns relevant to SingPost's logistics and financial operations context; make recommendations, not presentations

Team Building & Leadership  (~15%)

• Recruit and onboard the Intelligence Layer from zero: write technical assessments, conduct interviews, make hiring decisions — starting with AI Engineer (Logistics/Finance Intelligence Squad) and ML Engineer (Predictive Operations Squad)

• Line-manage all Intelligence Layer engineers: 1:1s anchored to specific technical skill development targets, not project status updates

• Coordinate the offshore distributed engineering pod: scope data engineering tasks, review pipeline code, hold the quality bar

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Mathematics, or a related quantitative field

• Google Cloud Professional Machine Learning Engineer certification preferred; Professional Data Engineer certification advantageous

• 8+ years in technology roles, including:

• 5+ years in hands-on AI/ML engineering within production environments

• 3+ years in technical engineering leadership

• Proven experience building and operating end-to-end MLOps pipelines across training, deployment, monitoring, and retraining

• Strong Python ML engineering capability using frameworks such as scikit-learn, XGBoost, PyTorch/TensorFlow, pandas/NumPy, and FastAPI/Flask

• Deep hands-on expertise with Vertex AI, BigQuery, ML CI/CD automation, and production deployment workflows

• Experience building GenAI/LLM solutions, including RAG pipelines, embeddings, and evaluation frameworks

• Experience within complex enterprise environments; logistics, supply chain, or financial services exposure is advantageous

• Strong ability to communicate AI/ML concepts, model decisions, and technical recommendations to both technical and business stakeholders

Build the Digital Platform Backbone

• Design and implement a standardised cloud-native platform across SingPost
• Lead Kubernetes platform strategy (EKS / hybrid environments)
• Establish reusable platform components for engineering teams

Own Developer Platform & Engineering Enablement

• Build and scale an internal developer platform (IDP)
• Standardise CI/CD pipelines, deployment models, and environments
• Improve developer productivity and reduce time-to-deploy

Drive Modern Architecture Patterns

• Implement event-driven architectures (Kafka, streaming)
• Guide microservices design and API standards (REST, gRPC)
• Improve system resilience, scalability, and fault tolerance

Reduce Vendor Dependency

• Work alongside SI partners (Accenture, NCS, DXC, etc.) but challenge and elevate their designs
• Build critical capabilities in-house where it makes sense
• Ensure long-term maintainability and cost efficiency

Engineering Standards & Governance

• Define and enforce:
• Platform standards
• Security (TLS, mTLS, zero trust principles)
• Observability (logs, metrics, tracing)
• Drive DevSecOps practices across teams

Hands-On Leadership

• Lead a team of engineers and architects (Singapore + offshore)
• Stay close to the code and architecture
• Review designs, debug issues, and guide implementation

Requirement

• Experience leading engineering teams (10–20+ engineers)
• Ability to mentor engineers and raise technical standards
• Comfortable working with both internal teams and external partners
• Experienced in the following:
• Kafka / event streaming
• APIs (REST, gRPC, GraphQL)
• CI/CD pipelines and DevOps practices
• Solid networking fundamentals (TCP, TLS, mTLS)