Total 72 job vacancies by Digital

About Us

Green Link Digital Bank is Singapore's inaugural wholesale digital bank focusing on supply chain finance, mainly serving MSMEs and aiming to help MSMEs grow and improve digitization.

About the Role

The successful candidate will be responsible for the implementation, maintenance, and optimization of the bank's security posture across on-premises and cloud environments. This role focuses on safeguarding the network perimeter and cloud infrastructure, ensuring the confidentiality, integrity, and availability of critical financial systems while adhering to stringent regulatory security standards.

Responsibilities

• Implement and maintain security architecture across both on-premises and cloud platforms, applying zero-trust principles and defense-in-depth strategies..
• Configure and manage enterprise-grade security equipment, including Next-Generation Firewalls (NGFW), Intrusion Detection/Prevention Systems (IDS/IPS), WAFs, CDN and proxy.
• Identify, analyze, and mitigate security vulnerabilities and threats within the network and cloud infrastructure through regular scanning and monitoring.
• Collaborate with network and infrastructure teams to enforce network security policies, implement network segmentation (micro-segmentation), and manage secure access controls.
• Manage cloud security configurations for VM, container and Kubernetes based workload, ensuring secure networking in virtualization layer and tiered defense.
• Deploy and operate cloud-native security services (e.g., Security Groups, VPC Peering security, Cloud firewall, routing) in accordance with industry best practices to secure north-south and east-west traffic.
• Coordinate with security vendors and Managed Security Service Providers (MSSPs) to support security monitoring (SOC), resolve incidents, and optimize security toolsets.
• Support change management and security governance processes, ensuring that infrastructure changes undergo necessary security reviews.
• Maintain secure hybrid cloud connectivity, managing encrypted tunnels for site-to-site VPNs and secure API integrations.
• Assist in ensuring security infrastructure aligns with regulatory standards such as MAS TRM, SWIFT CSP, and BCS PSP, and support technical evidence gathering for audits.
• Participate in network design discussions to propose security requirements and assess design effectiveness.
• Develop and maintain documentation for security designs, firewall rulesets, incident response playbooks, and security procedures.

Requirements

• Bachelor's degree in Cybersecurity, Information Technology, Computer Science, or a related field.
• At least 5 years of experience in security engineering, with a strong focus on network security and cloud security in a production environment.
• Experience working in regulated financial institutions or CII is highly preferred.
• Hands-on experience using AI-assisted coding tools to write, debug, and optimize scripts for automation (e.g., Python, Bash).
• Hands-on experience with security vendors such as Palo Alto, Fortinet, Checkpoint, or Cisco.
• Solid understanding of security protocols and concepts (SSL/TLS, SSH, IPsec, OAuth2, SAML, Cryptography and Zero Trust Architecture).
• Strong knowledge of cloud security concepts (e.g., VPC security, Security Groups, IAM roles, Landing Zone, Cloud Security Posture Management - CSPM).
• Familiarity with container security (Kubernetes/Docker) and hybrid cloud security integration.
• Experience with Linux security hardening and operation is a plus.
• Strong analytical and problem-solving skills, with the ability to perform root-cause analysis on security vulnerabilities.

Role Summary:

We are seeking for a strategic Data Engineer focused on building and scaling enterprise data platforms and pipelines for an upcoming project. The position combines strong data engineering fundamentals with data strategy, architecture, and governance, while also driving AI-enabled innovation to improve decision-making and user outcomes.

It requires technical expertise, analytical thinking, and stakeholder collaboration across product, engineering, and business teams. The role also emphasizes a mindset of ownership, informed decision-making, and continuous learning to support evolving technologies and product growth.

Key Responsibilities:

This role spans end-to-end data engineering, AI, and platform delivery, focused on building scalable data systems that support product, analytics, and policy decisions.

You will design and maintain data pipelines, platforms, and models, deliver analytics and data products, and work closely with stakeholders to turn business needs into actionable insights. The role also includes developing and operationalising AI/ML and LLM-based solutions, supported by strong MLOps practices.

On the platform side, you’ll implement modern data architectures and DataOps practices (e.g., automation, streaming, data observability) to ensure high data quality, reliability, and performance, while managing technical debt.

You’ll also ensure governance, security, and compliance, proactively managing risks in data systems.

Beyond technical execution, the role requires ownership and leadership—driving projects independently, mentoring others, collaborating cross-functionally, and contributing to broader strategy, technology decisions, and organisational impact.

Requirements:

Experience & Education

• Bachelor’s degree or higher in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline.
• At least 5 years of experience in data engineering.
• Proven experience delivering data platforms or products in large-scale, enterprise environments.

Technical Skills

• Strong expertise in data modelling (OLTP, OLAP, dimensional modelling).
• Experience with cloud data platforms and tools (e.g. AWS, Databricks, Redshift, Data Lakes).
• Proficiency in big data technologies (e.g. Hadoop, Spark, Kafka, Flink).
• Strong programming skills in Python, Scala, or Java.
• Experience with CI/CD and DataOps practices (e.g. SHIP-HATS or equivalent).
• Expertise in data integration techniques (e.g. ETL/ELT, streaming, APIs).

AI & Machine Learning (Advantageous)

• Understanding of machine learning and LLM concepts, including prompt engineering and AI application development.
• Familiarity with MLOps practices and cloud-based ML deployment.
• Awareness of responsible AI principles (fairness, robustness, safety).

Key Responsibilities

• Lead Development team to Design, develop, and maintain full-stack applications using Golang (backend) and SvelteKit (frontend).

• Build, optimize, and maintain GraphQL APIs for data-driven applications.

• Implement microservices for modular, scalable, and resilient systems.

• Familiar with PostgreSQL databases, including schema design and query tuning.

• Collaborate cross-functionally with product, design, and operations teams to deliver high-quality software.

• Ensure code quality through peer reviews, testing, and CI/CD practices.

• Contribute to system architecture discussions and drive engineering best practices.

• Support performance tuning of application systems.

Required Qualifications

• 7+ years of professional experience as a full stack or backend engineer.

• Strong proficiency in Golang for backend development.

• Proficient in SvelteKit or similar modern frontend frameworks (React, Vue, etc.).

• Experience building and maintaining GraphQL APIs.

• Deep understanding of microservices architecture and distributed systems.

• Strong SQL skills with experience in MS SQL and PostgreSQL.

• Familiarity with CI/CD pipelines, testing, and version control systems.

• Excellent problem-solving, debugging, and communication skills.

Good to Have

• AWS project experience (e.g., Lambda, ECS, RDS, S3, API Gateway).

• Familiarity with Temporal Workflow or similar orchestration frameworks.

• Experience with Node.js for backend or API development.

• Experience with containerization/orchestration (Docker, Kubernetes).

• Background in performance tuning, observability, and system optimization.

• Experience mentoring or leading small engineering teams.

Roles & Responsibilities

The Sr. Manager Sales role will be responsible for grow and expand the base of customers and grow new verticals. This role will have a deep understanding of enterprise customer businesses with an appreciation of customer digitalization, sustainability and business transformation needs.

Job Responsibilities:

• To spearhead and expand business opportunities in Singapore initially, and also selected markets in APAC/Southeast Asia, by driving sales and fostering strong client relationships.
• Lead Acquisition & Conversion: Identify, qualify, and convert new leads in Singapore and the APAC region, to grow the business in alignment with company’s objectives. Accelerate the sales cycle, from lead generation to deal closure.
• Client Relationship Building: Establish and maintain robust relationships with key decision-makers in customer organizations and their respective networks, facilitating company’s business model.
• End-to-End Sales Process Management: Own the complete business aspects of opportunities from lead generation, solution proposal, commercial negotiations to contract finalization.
• Product Demonstration & Business Presentations: Lead business presentations, product demonstrations, and proof-of-concept initiatives with extended teams.
• Customer Collaboration: Serve as a liaison between customers and company’s Product and Project teams, ensuring business requirements are met and solutions are optimized for customer success.
• Revenue Growth: Collaborate with the Customer Success team to identify upsell and expansion opportunities within existing accounts.
• Reporting: Provide weekly updates on sales forecasts, performance metrics, and market insights.
• Brand Ambassadorship: Serve as a brand ambassador for business, ensuring that the company's values and offerings are communicated effectively to the market.
• Consultative Sales Process: Employ a solution-centric approach to understand client needs, pain points, and align them with company’s offerings.
• Additional Responsibilities: Handle any other assignments as deemed necessary by the management.

Required Experience and Qualifications:

• Bachelor’s Degree or above in relevant disciplines such as Computer Engineering, Engineering, Business, Management, or Finance.
• Proficient understanding of digital technology, digital ecosystem, and technology trends.
• Demonstrated success in exceeding sales targets and a strong track record of closing deals.
• Superior client management, communication, and negotiation skills.
• Ability to deliver clear, concise presentations and engage in solution-driven conversations at the C-Suite level.
• Proficiency in bilingual communication, both written and spoken.
• Self-driven, strategic thinker with a passion for innovation in the digital technology space and an eagerness to learn.
• Team-oriented with a customer-centric mindset.

Responsibilities:

• Works with Solution Architect & Business Analysts on end-to-end solution, evaluate and develop high-quality data solutions.
• Works with non-technical, subject matter experts to understand underlying data behavior and characteristics in ways that will be new for such non-technical people.
• Works cooperatively with others to resolve data and process issues.
• Uses standard data modeling, data flow, and data documentation tools to analyze, document and present data analysis work.
• Plan & develop ETL, Data preparation/aggregation processes from various sources to MSSQL database/PostgreSQL DB
• Maintain, and optimize ETL and other ETL processes to adapt to changes in needs and requirements.
• Participate in MS SQL code reviews and provide guidance on best practices.
• Review new database schema changes.
• Familiar with T-SQL, stored procedures, functions, inline SQL, database structures
• Analyze existing SQL queries for performance improvements.
• Monitor code migration and database change management through various stages of the development cycle.
• Design & Develop procedures and scripts for data migration.
• Develop, implement, maintain policies and procedures, and document database architecture to ensure security and integrity of the databases.

Requirements:

• 5 to 8 years of T-SQL programming.
• 2 to 3 years of Informatica development experience.
• Experience with migration of Informatica PowerCenter to IDMC.
• Experience with performance tuning of sources, mappings, targets, and sessions.
• Experience with Data Architecture and Data Modeling concepts.
• Familiarity with Microsoft SQL Server/PostgreSQL DB.
• Knowledge of git Source Control. and Knowledge of CI/CD pipelines or deployment automation tools.
• Critical thinker and problem-solving skills.
• Team player.
• Good time management skills.
• Great interpersonal and communication skills.

Role Summary:

We are looking for a skilled Data Engineer to design, build, and maintain scalable, cloud-native data platforms. The ideal candidate has strong programming and SQL skills, hands-on experience with AWS, and a solid understanding of data modelling, ETL pipelines, and big data processing frameworks.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and data platforms.
• Build and optimize ETL/ELT workflows using PySpark, Pandas, and SQL.
• Work with large datasets using distributed processing frameworks such as Apache Spark.
• Design and implement data models to support analytics and reporting use cases.
• Develop and manage data solutions on AWS cloud platforms.
• Orchestrate data workflows using tools such as Apache Airflow.
• Collaborate with cross-functional teams to deliver reliable, secure, and high-quality data solutions.
• Implement best practices for data quality, performance, security, and governance.
• Support CI/CD pipelines and automate deployments using DevOps best practices.

Requirements:

• 3+ years of professional experience in Data Engineering or related roles.
• At least 2 years of hands-on experience with cloud-native data services.
• Strong proficiency in one programming language: Python, Java, or .NET.
• Advanced SQL skills with experience writing complex and optimized queries.
• Strong understanding of data modelling concepts (e.g., dimensional modeling).
• Experience with relational databases (PostgreSQL, MySQL).
• Experience with NoSQL databases (DynamoDB, CosmosDB) and data lakes.
• Hands-on experience with distributed data processing frameworks (Apache Spark / PySpark).
• Experience with workflow orchestration tools such as Airflow.
• Familiarity with CI/CD pipelines and Infrastructure as Code tools.
• Experience using Git, Docker, and Terraform is a plus.

Preferred Skills:

• Experience designing end-to-end data architectures in AWS.
• Strong understanding of system design, scalability, and security best practices.
• Good communication skills and ability to work in cross-functional teams.

Responsible for investigating and determining root causes of hard disk drive failures across development, qualification, manufacturing, and field operations. This role focuses on electromechanical, magnetic recording, firmware, and media-related failures, and works cross-functionally to drive corrective and preventive actions that improve product reliability, quality, and customer satisfaction.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Provides verbal and written status including clear and accurate FA summaries and test reports to the Lead Engineer and the Department Manager.
• Maintain proper documentation of test procedures and results & update failure tracking databases and spreadsheets.
• Cross-Functional Exposure:
• Work closely with:
• Failure Analysis Engineers (senior/principal)
• Manufacturing and process engineering teams
• Design and reliability engineering teams
• Gain exposure to factory, lab, and NPI environments
• Support internal FA reviews and technical discussions
• Perform structured root cause analysis (8D, 5-Why, Fishbone)
• Identify whether failures are:
• Design-related
• Process/manufacturing-related
• Supplier-related
• Usage or system-integration-induced
• Drive corrective and preventive actions (CAPA) with design, manufacturing, and suppliers
• Validate fixes through FA closure and re-testing

• Lead a group of Equipment and Process Technicians
• Attend various Equipments and Process daily issue.
• Ensuring Preventive Maintenance schedule carry out by Technicians.
• Required excellent communication skills for various inter department communications
• Suggest and executive Continuous Improvement on equipments down time or improve operational efficiency.
• Attend various Daily Meeting. 2x per shift
• Work load assigning base on production schedule for various equipment.
• Respond to any escalation from technicians from unscheduled down time or process KPOV.
• Montitor and respond to QC escalation from Test’s KPOV.
• Respond and follow up on Quality Incidents on-hold and disposition.
• Responsible to Technicians career path planning and performance designation.
• Attend various training course for technical and soft skills.
• Become Emergency Response Team member
• Conduct Fire Drill Evacuation Exercise
• Involve Management System Audit

BROAD  FUNCTIONS : 

• Lead a group of Equipment and Process Technicians
• Attend various Equipments and Process daily issue.
• Ensuring Preventive Maintenance schedule carry out by Technicians.
• Required excellent communication skills for various inter department communications
• Suggest and executive Continuous Improvement on equipments down time or improve operational efficiency.

RESPONSIBILITIES : 

Regular functions.

• Attend various Daily Meeting. 2x per shift
• Work load assigning base on production schedule for various equipment.
• Respond to any escalation from technicians from unscheduled down time or process KPOV.
• Montitor and respond to QC escalation from Test’s KPOV.
• Respond and follow up on Quality Incidents on-hold and disposition.
• Responsible to Technicians career path planning and performance designation.
• Attend various training course for technical and soft skills.

Irregular

• Become Emergency Response Team member
• Conduct Fire Drill Evacuation Exercise
• Involve Management System Audit

CONTACTS :

Regular

• FA Team Automation Team, Operation, NPI, SQE, Pre and Post Process Team

Irregular

• Vendors, Suppliers, QA, Facilities.

We are looking for a motivated and detail-oriented Failure Analysis Technician to join our team. Prefer fresh graduate or experience. In this role, you will be responsible for investigating and analyzing product failures using Optical Microscope, Atomic Force Microscopy (AFM), OSA and ZYGO  to determine failure defect and support the development of solutions that enhance product reliability. Your hands-on skills and technical expertise will play a critical role in our quality assurance processes.

Job Summary:

We are looking for a senior hands-on AI/ML engineer to augment the team for the next 6 months.

• Build and scale production-grade full-stack GenAI solutions with a strong emphasis on backend systems, data, and AI/ML engineering.  
• Operate as a true partner to Business leaders - co-framing problems, influencing solution strategy, and co-owning measurable user and business outcomes - not as an execution-only engineering function.  

Job Responsibilities:

Product & Business Partnership  

• Co-own problem discovery with Product / Business: translate objectives into well defined, testable problem statements, user journeys, and technical hypotheses.  
• Challenge assumptions and requirements using user insights, data realities, feasibility constraints, and system impact; recommend alternatives when they better achieve outcomes.  
• Define and track success metrics (e.g., adoption, time saved, conversion, accuracy / quality, latency, reliability, cost-to-serve, risk reduction) and drive iteration when targets aren’t met.  
• Communicate clearly with executive, business, and engineering audiences - articulating trade-offs, decisions, and rationale.  

Solution Leadership

• Lead end-to-end solution for GenAI products: APIs, services, data pipelines, orchestration, LLM integration, retrieval, tool-calling, and UI/UX touchpoints as needed.  
• Make disciplined architectural trade-offs across performance, reliability, cost, extensibility, maintainability, and time-to-value.  
• Design for enterprise realities: identity / access, data residency, compliance constraints, multi-environment deployments, and integration with core systems.  
• Drive platform thinking: prioritize reusable components (libraries, templates, shared services) over one-off builds.  

Agentic & Full-Stack GenAI Applications

• Build and scale agentic GenAI applications that solve multi-step workflows on cloud platforms such as AWS and Azure.  
• Define and implement robust LLM patterns (prompting, RAG, tool orchestration, validation, and evaluation).  
• Implement LLMOps and lifecycle governance for models and prompts, including versioning, evaluation and monitoring.  
• Ensure solutions meet enterprise standards for quality, reliability, latency, and cost.  
• Embed Responsible AI, security, and compliance by design, partnering with Risk, Legal, and Security.  

Engineering Excellence & DevOps

• Provide hands-on leadership across the SDLC: design reviews, coding standards, testing strategy, code reviews, security reviews, and operational readiness.  
• Establish robust CI/CD and standardized environments for services and AI components utilizing cloud services.
• Ensure operational excellence through observability, incident management, reliability practices, and cost optimization.

Job Requirements:

• Proven track record in designing and building GenAI solutions, with a strong expertise in prompt engineering, LlamaIndex, Langchain, RAG, Agentic AI workflow,
• Knowledge graph, AI red teaming libraries, LLM monitoring and evaluation.  
• Over 7+ years of experience in the software development lifecycle as a developer, with a focus on writing production code.  
• Must have hands-on experience working with software development toolkits, and DevOps automation like Kubernetes, Airflow, Jenkins, Jira, Confluence and Git.  
• Excellent programming skills in Python and proficiency in PySpark.  
• Experience in Databricks, AWS bedrock, Microsoft Copilot Studio and Azure ML.  
• Strong leadership skill with ability to influence the thought process and drive alignment.  
• Excellent communication skills and a demonstrated ability to collaborate effectively with cross-functional teams.  
• Self-motivated and highly driven individual who can thrive in ambiguous requirements.

Roles & Responsibilities

• Develop and maintain integration solutions utilizing REST APIs within Microsoft ecosystem (Azure Logic Apps, Power Platform, Azure Functions, etc.).
• Design, implement, and test APIs and workflows to enable seamless data exchange across systems.
• Leverage AI tools and Microsoft AI services to enhance integration capabilities and automation.
• Collaborate with cross-functional teams to understand integration requirements and deliver solutions aligned with business goals.
• Troubleshoot and optimize integration performance and reliability.
• Document integration patterns, API contracts, and technical configurations.
• Stay updated with Microsoft integration and AI tools to suggest process improvements and innovations.

Required Qualifications

• Proven development experience working with REST APIs.
• Hands-on knowledge of Microsoft integration services such as Azure Logic Apps, Azure API Management, Power Automate, and Azure Functions.
• Familiarity with AI tools and Microsoft AI services (Azure Cognitive Services, Bot Framework, etc.).
• Strong programming skills in languages like C#, JavaScript, or PowerShell.
• Experience with cloud platforms, especially Microsoft Azure.
• Excellent problem-solving skills and ability to work collaboratively.
• Bachelor’s degree in Computer Science, Information Technology, or a related discipline