Total 80 job vacancies by Unison Consulting Pte Ltd

Role             : Business Analyst (Payment Fraud)

Location      : Singapore

Duration      : Long term contract

Job Scope

• Monitor and manage risks /issues related to requirements and scope-creep
• Participate in transitioning the requirements to the designers and ensure a clear and complete understanding of the requirements.
• Assist in translating business requirements into test scenarios.
• Clarify test findings escalated by Test Manager and classify the findings accordingly (either as a defect or change request)
• Perform impact assessment and estimation for Project Change Request
• Good knowledge in financial services policies, procedures, products and industry practices

Mandatories are:

• Corporate Banking
• Knowledge of scams and their modus operandi
• Payments Fraud
• Fraud Prevention
• User stories
• Internet Banking
• Regulatory and compliance around online payments

• Develop and maintain high-performance C++ applications in a Unix/Linux environment.
• Debug applications using GDB, troubleshoot issues, and ensure code reliability.
• Write and manage Makefiles to automate the build process efficiently.
• Integrate IBM MQ for messaging and queuing within the system, if applicable.
• Collaborate with cross-functional teams to meet both functional and non-functional requirements.

• Strong proficiency in C++ programming with a solid understanding of object-oriented design principles.
• Experience working with Unix/Linux systems, including shell scripting and system calls.
• Hands-on experience debugging applications using GDB and resolving complex issues.
• Knowledge of build automation using Make and writing Makefiles.
• Familiarity with IBM MQ or similar messaging systems is a plus.

Process Governance:

·       Establish, document, and maintain robust service delivery processes.

·       Ensure compliance with all relevant internal and external policies, procedures, and regulations.

·       Conduct regular process reviews and audits to identify and mitigate risks.

·       Develop and implement process improvement initiatives to optimize service delivery.

Risk Management:

·       Identify, assess, and mitigate operational resiliency, compliance, and reputational risks associated with DCS services.

·       Develop and maintain a risk register for DCS services.

·       Ensure appropriate controls are in place to manage identified risks.

·       Support regular DCS systems risk assessments, compliance audits and reviews.

·       Advise DCS System PIC on policies, procedure, regulatory changes and their impact on DCS services.

Budgeting & Financial Management:

·       Develop and manage the DCS service budget.

·       Monitor and control service costs to ensure they are within budget.

·       Prepare financial reports and analyses for management review.

Stakeholder Management:

·       Build and maintain strong relationships with stakeholders.

·       Communicate effectively with all levels of the organization.

·       Proactively identify and address stakeholder concerns.

• Degree in Information Technology, or a related field.
• Experience in IT service management or in Tech Risk with a focus on governance and control within an IT enterprise environment
• Relevant industry certification (e.g: ITIL, Six Sigma, COBIT)
• Solid writing, documentation, interpersonal and communication skills.
• Experience in the areas of Risk Management, IT audit or IT security is an added advantage
• Prior working experience in banking or financial institutions would be an added advantage.

Good understanding of MAS or APAC financial regulators technology risk guidelines or mandates would be valuable.

Working days- Monday - Friday

Working hours-9:00 am to 6:00 pm

• Performance Bonus
• Travelling Allowance
• Mobile Allowance
• Medical
• Insurance

Job Description

We are seeking a dedicated Support Engineer professional to join our team to ensure the smooth operation of our systems and applications. The ideal candidate will have strong technical skills and be able to collaborate with various departments to support and maintain our software systems.

Responsibilities:

Monitor and troubleshoot production issues (Linux VMs, Vendor Product, SFTP).

Collaborate with cross-functional teams to identify and resolve production issues.

Perform root cause analysis and provide solutions to prevent future issues.

Create and maintain documentation related to production issues and resolutions via JIRA.

Implement and maintain processes and procedures to improve production support.

Provide daily, weekly, and monthly reports on system performance and issue status.

Ensure proper deployment and release of software updates & infrastructure patches/upgrades.

Participate in on-call rotation and respond to production issues after business hours. There are two shifts, Morning (7 AM to 4 PM) and Afternoon (2 PM to 11 PM), running 7 days a week.

Deployments during silent hours.

Development work within the vendor product (about 10%-20% of time).

Preferred Qualifications:

Bachelor’s degree in Computer Science or related field.

2–4 years of experience in Production Support or related role.

Strong technical skills in Java, SQL, UNIX, and scripting languages.

Ability to troubleshoot and resolve complex production issues efficiently.

Excellent problem-solving and analytical skills.

Effective communication skills to collaborate with cross-functional teams effectively.

Willingness to participate in on-call rotation.

Client is looking for Software Developers – Full Stack to design, develop and maintain high quality, world class software applications. This includes functional and technical design, coding, issues investigation and correction, application tesing and maintenance activities.

Role & Responsibility

• Designs and implements systems using a variety of languages (e.g., Java, Javascript, HTML, CSS, etc.)
• Writes and executes complete testing plans, protocols, and documentation
• Identifies and debugs, and creates solutions for issues with code and integration into application architecture
• Analyses designs to determine coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution
• Ensure delivery within tight timelines and meeting the team’s expectation
• Get involved in the entire lifecycle of the SDLC
• Understand the requirement and ensure quality deliverables
• Ensure quality and optimized coding with proper documentation
• Develop unit plan and perform unit testing and provide continuously improved product experience
• Provide in-depth engineering support (debugging, performance optimizations, etc.) during the rollout phase to customers

• At least 2-5 years (5-8 years for senior) of experience in developing various applications for production
• Experienced in using clean code practices, and writing readable, maintainable code
• Good understanding of end-to-end application architecture
• Delivered at least one large-scale project to production
• Experienced in backend and/or frontend development
• Solid knowledge in Java technology (Java 8, Spring framework 4.0)
• Solid knowledge in Database technology (MYSQL/Postgres/Mongo database)
• Experience in designing, mock up, developing the UI of websites and/or web applications.
• Solid markup skills utilizing HTML5, CSS3, Bootstrap, Photoshop , Responsive Design.
• Experience in Restful API integration

Preferred Skills & Experience

• An interest in direct communication with customers, including non-technical audiences
• Software and services implementation experience within the Retail domain industry
• Retail domain knowledge: store operation, POS software functionality knowledge and integration knowledge with backend ERP systems
• Worked in high performance and cross-functional Agile software engineering teams that used practices like Kanban/Scrum/Lean/XP, Test Driven Development (TDD), Continuous Integration/ Continuous Delivery (CI/CD), etc.
• Experience with DevOps practices and Automation tools

• Preferably more than 5 years of experience as a full stack developer

• Experience in developing end-to-end applications.

• Experience working in both Unix and Windows operating environments are preferred.

• Knowledge of multiple frond-end languages and libraries (e.g. React, NodeJS, Typescript and JavaScript, HTML5, CSS3).

• Knowledge with hands on experience in technologies like .Net core, Net5 above and C#

• Familiarity with databases (e.g., MySQL, Microsoft SQL) with Entity Framework.

• ICT Assessment Certification for software Developer (NUS-ISS) will be an added advantage.

• Web Servers (e.g., Apache) and UI/UX design.

• Experience in CI/CD principles

• Experience in DevSecOps architecture

• Experience of developing cloud native applications

• Strong analytical and problem-solving skills

• Detail- oriented

• Strong Team player

• Good communications and interpersonal skills.

As an API Functional Business Analyst, you will serve as a key liaison between technical teams and business stakeholders in the successful delivery of API solutions. Your role will involve gathering, analyzing, and documenting requirements to enhance our API offerings, ensuring they meet the business needs and comply with industry standards.

Key Responsibilities:

• Gather and document business requirements for API functionalities from stakeholders.
• Payment Experience is must
• Translate business requirements into functional specifications for technical teams.
• Conduct analysis of existing APIs and provide recommendations for improvement.
• Collaborate with developers to ensure understanding and execution of requirements.
• Define API testing strategies in coordination with the testing team.
• Facilitate discussions on API design, usability, and performance with stakeholders.
• Monitor API performance and propose enhancements based on user feedback and data analysis.
• Maintain comprehensive documentation, including API specifications, user guides, and training material.
• Stay updated with industry trends and best practices regarding API development and implementation.

Qualifications:

• Bachelor's degree in Computer Science, Business Administration, or a related field.
• Minimum 5 years of experience as a Business Analyst with a focus on APIs.
• In-depth knowledge of API technologies, standards, and best practices (e.g., REST, SOAP, JSON, XML).
• Strong analytical skills with the ability to interpret complex data and translate it into actionable insights.
• Experience working with cross-functional teams and translating technical concepts for non-technical stakeholders.
• Excellent communication, documentation, and presentation skills.
• Familiarity with Agile methodologies is a plus.
• Passion for technology and a keen interest in improving business processes through API solutions.

Role             : C/C++ Developer

Location      : Singapore

Duration      : Long term contract

Job Scope

• Experience in designing and developing Oracle Tuxedo application using C, Pro*C, SQL, Shell scripting on Linux and Unix platform.
• Should be well versed with ATMI (Application-to-Transaction Monitor) interfaces, should be able to write Tuxedo server and client code.
• Proven experience in developing distributed applications, building multi-tiered applications along with integration framework design.
• Should have knowledge of systems integration using XML, JSON, SOAP etc messaging protocol. Experience with Oracle SALT.
• Should have debugging experience for Core dump analysis, memory segmentation fault,...etc using gdb, strace, valgrind,..etc.
• Should have experience for migrating C application from Unix to Linux, upgrading 32-bit binary, libraries to 64-bit binary, libraries,
• Configuring and managing the Oracle Tuxedo environment, including setting up application servers, managing resources, and optimizing performance.
• Experience with IBM MQ, Java, python is desired.
• Should have excellent analytical, problem-solving, troubleshooting skills.

• Assist in software development by writing, testing, and maintaining C++ code for software applications and systems. Work on both new projects and maintaining existing systems.
• Help manage Linux/Unix systems, ensuring software runs smoothly on these platforms. Assist with configuration, troubleshooting, and optimization tasks.
• Write and optimize SQL queries for data retrieval, manipulation, and storage, supporting integration with databases in software systems.
• Maintain clear and concise documentation for code, processes, and system configurations to support ongoing development and maintenance.
• Assist in writing and executing tests to ensure software quality, ensuring that code meets performance, security, and reliability standards.
• Continuously improve technical skills by staying up-to-date with new technologies, especially in C++, Linux/Unix, and SQL.

• Basic to intermediate proficiency in C++ programming, with an understanding of object-oriented principles and coding best practices.
• Familiarity with Linux/Unix operating systems, including working with the command line, file systems, and basic shell scripting.
• Basic understanding of SQL, including writing queries for data retrieval and manipulation in relational databases.
• Experience with Git or other version control systems for code management and collaboration.

Job Summary: We are seeking an experienced and detail-oriented Network Security Engineer to join our team. The ideal candidate will have hands-on experience in managing and configuring Cisco wireless infrastructure, switches, and routers, as well as proficiency with Palo Alto and Checkpoint Firewalls.

Key Responsibilities:

• Cisco Wireless Infrastructure Management:

o Configure, deploy, and manage Cisco wireless access points and controllers to ensure reliable wireless network connectivity.

o Troubleshoot and resolve issues related to wireless network performance, coverage, and security.

o Managing the Cisco ISE.

• Cisco Switches and Routers Management:

o Install, configure, and maintain Cisco switches and routers for optimal network performance.

o Perform network troubleshooting, identify bottlenecks, and implement solutions to ensure network reliability.

• Firmware Upgrades:

o Upgrade firmware for wireless devices, routers, and switches as part of regular network maintenance and improvement.

o Ensure minimal disruption during firmware updates and troubleshooting any issues that arise.

• Network Monitoring with SolarWinds:

o Utilize SolarWinds for continuous monitoring of the network infrastructure, including switches, routers, and wireless systems.

o Respond to alerts, troubleshoot network issues, and optimize network performance based on monitoring data.

• Firewall Management (Palo Alto, Checkpoint):

o Configure and maintain Palo Alto and Checkpoint firewalls to ensure network security and integrity

o Monitor firewall performance, implement policy changes, and respond to any security incidents or alerts.

Required Skills and Qualifications:

• Proven experience in managing and configuring Cisco wireless infrastructure, switches, and routers.

• Strong knowledge and hands-on experience with SolarWinds network monitoring tool.

• Proficiency in managing Palo Alto and Checkpoint firewalls.

• Strong troubleshooting skills for network and security-related issues.

• Ability to perform firmware upgrades for network devices and equipment.

• Familiarity with network security practices and protocols.

• CCNP (Cisco Certified Network Associate) certification or equivalent is a plus.

• Experience with network documentation and creating network diagrams.

Preferred Skills:

• Advanced Cisco certifications (CCNP) or equivalent.

• Knowledge of other network security platforms.

• Experience in implementing network automation or orchestration tools.

We seek individuals with highly developed conceptual, strategic, and analytical skills, capable of striking a balance between visionary thinking and practical solutions. The ability to comprehend, inspire, and mobilize others is crucial. A business-oriented mindset coupled with effective storytelling will drive your success. We are looking for self-starters ready to take on responsibilities with enthusiasm.

Roles & Responsibilities

• Developing and maintaining the entire DevOps pipelines.
• Coordinate with the stakeholders from requirements gathering until successful implementation DevOps pipeline on boarding.
• Work with the vendors and for internal platforms to setup centralized DevOps solutions considering market best practice, Industry standard and ease of support.
• Work with the vendors and for internal platforms to upgrade the DevOps tools farm and integrating with tools.
• Lead analysis and resolution of root cause for Test Orchestration / Environment related issues
• Ability to multitask and work in a fast-paced, collaborative team environment.
• Excellent written and oral communication skills; writing, publishing and conference-level presentation skills
• Stays current with industry trends and leads development of key DevOps, Runtime, and Operational innovation platforms.

• Deep technical background, with hands-on experience in supporting CI/CD pipelines (Bitbucket, Jenkins, Artifactory, Sonar, Veracode for SAST, JIRA and Confluence).
• Hands on experience building CI/CD pipelines orchestration by Jenkins, GitLab CI, GitHub Actions or similar tools is a must-have.
• Skill to containerize a application and good if Kubernetes
• Good Experience on OpenShift or AWS
• Prior technical background on different build and branching strategies.
• Deep technical background on Kubernetes deployment process.
• Good knowledge on maintaining/deploying secrets in Kubernetes.
• Prior working experience in setting up Jira workflow.
• Strong hands-on experience on Shell or Groovy scripting.
• Prior experience is customizing JIRA and Setting up confluence spaces.
• Prior hand-on experience in setting up CI/CD pipeline as a centralized solution.
• Hand on experience in setting up DevOps governance, Security standards and audit requirements.
• Prior experience in setting up DevOps pipeline in internal and external cloud offerings.
• Experience with continuous testing, techniques and tools (Junit, Sonar Cube, Veracode etc.)
• Technical exposure of automation accomplished with advanced Python, Chef, Ruby and PowerShell
• Working knowledge of Murex, MxTest, Mx pipeline and Machine Learning applications will be an advantage.

We are seeking a skilled and motivated Data Engineer with expertise in Hadoop, Spark, OpenShift Container Platform (OCP), and DevOps practices. As a Data Engineer, you will be responsible for designing, developing, and maintaining efficient data pipelines, processing large-scale datasets. Your expertise in Hadoop, Spark, OCP, and DevOps will be crucial in ensuring the availability, scalability, and reliability of our ML Solutions.

Responsibilities:

• Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives
• Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions
• Ensure data quality and integrity throughout the data processing lifecycle
• Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques
• Optimize data engineering workflows for containerized deployment and efficient resource utilization
• Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability
• Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance
• Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements
• Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure
• Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference
• Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps
• Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank

• Bachelor's degree in Computer Science, Information Technology, or a related field
• Proven 2-5 Years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments
• trong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)
• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes
• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java
• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
• Experience with Graphana, Prometheus, Splunk will be an added benefit
• trong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges
• Excellent collaboration and communication skills to work effectively with cross-functional teams
• Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus

·        Capable of leading Global Template design and deployment for Large Transformation as Lead

·        Lead workshops to gather the information needed for fit-gap analysis or blueprints;

·        Get sign-off from client, and finalise the requirements.

·        Document functional requirements related to MM/IM and Logistics Execution business processes;

·        Advise clients on solution directions and the move to the new technologies (S4 HANA),

·        Development of Prototypes/Proof-of-Concepts;

·        Work on BTP based development / customisation for MM stream with Technical team.

·        Customizing of the SAP S4 HANA MM module and integration with other modules

·        Design organizational structure and Key data elements

·        Coordinate, communicate and assign tasks within the team;

·        Define and execute tests scenarios;

·        Training of key-users and or business users;

·        Develop solutions and proposals, functional fitment and value differentiation for SAP MM and related modules

·        Involve in solution demo and technical presentations

·        Assist in developing the practice and related skills and assets

•        Proven experience in SAP MM implementation projects good years of experience with experience of S4HANA  implementations experience with atleast 2-4 E2E implementation cycles.

•        Preference for relevant SAP S/4 HANA MM Certification

•        Must lead & possess SAP knowledge with direct experience in data migration and interface development in addition to functional consulting

•        Successfully completed a bachelor or master studies in IT, Engineering or Manufacturing Supply Chain;

•        Experience in a client facing role preferably with an ASEAN based Consulting firm

·        Lead workshops to gather the information needed for fit-gap analysis or blueprints;

·        Document functional requirements related to Sales & Distribution and basic CRM and Logistics Execution (like Transport Management) business processes;

·        Advise clients on solution directions and the move to the new technologies (S4 HANA), other Manufacturing, Planning and MES solutions

·        Development of Prototypes/Proof-of-Concepts;

·        Customizing of the SAP S4 HANA SD module and integration with other modules

·        Design organizational structure and Key data elements

·        Coordinate, communicate and assign tasks within the team;

·        Define and execute tests scenarios;

·        Training of key-users and or business users;

·        Develop solutions and proposals, functional fitment and value differentiation for SAP SD and related modules

·        Involve in solution demo and technical presentations

·        Assist in developing the practice and related skills and assets

•        Proven experience in SAP SD implementation projects good years experience with experience at S4HANA  implementations experience with atleast 2 E2E implementation cycles

•        Preference for relevant SAP Certification

•        Broad SAP knowledge with direct experience in data migration and interface development in addition to functional consulting

•        Successfully completed a bachelor or master studies in IT, Engineering or Manufacturing Supply Chain;

•        Experience in a client facing role preferably with an ASEAN based Consulting firm

As an experienced SAP Consultant at IBM Consulting, you will deliver innovative business solutions, where you will:

·        Lead workshops to gather the information needed for fit-gap analysis or blueprints;

·        Document functional requirements related to Inventory and Warehousing (SAP MM, WM and EWM-Extended Warehouse Management) business processes;

·        Advise clients on solution directions and the move to the new technologies (S4 HANA), other Warehousing solutions

·        Development of Prototypes/Proof-of-Concepts;

·        Customizing of the SAP S4 HANA MM-IM/WM and EWM modules

·        Develop the integration with barcode, Manufacturing and handheld devices

·        Coordinate, communicate and assign tasks within the team;

·        Define and execute tests scenarios;

·        Training of key-users and or business users;

·        Develop solutions and proposals, functional fitment and value differentiation for SAP EWM and MM

·        Involve in solution demo and technical presentations

·        Assist in developing the practice and related skills and assets

We will give you access to unique career opportunities, and a vast and diverse network of talented SAP professionals. As an experience professional within our SAP practice, you will get the chance to participate in new and existing implementations, developed with the latest technology and tools.

•        Proven experience in SAP MM and EWM implementation projects with strong years with S4HANA experience with atleast 2 E2E implementation cycles

•        Experience in various EWM scenarios and leading barcode integration products

•        Preference for relevant SAP Certification

•        Broad SAP knowledge with direct experience in data migration and interface development in addition to functional consulting

•        Successfully completed a bachelor or master studies in IT, Engineering or Manufacturing Supply Chain;

•        Experience in a client facing role preferably with an ASEAN based Consulting firm

We are seeking a talented and experienced Senior Data Engineer (Quantexa)with expertise in Hadoop, Scala, Spark, Elastic, Open Shift Container Platform (OCP) and DevOps practices. Elasticsearch to join our team. As a Data Engineer, you will play a crucial role in designing, developing, and optimizing big data solutions using Apache Spark, Scala, and Elasticsearch. You will collaborate with cross-functional teams to build scalable and efficient data processing pipelines and search applications. Knowledge and experience in the Compliance / AML domain will be a plus. Working experience with Quantexa tool is a must.

Responsibilities:

·        Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives

·        Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions

·        Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data

·        Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data

·        Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch

·        Implement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with Elasticsearch

·        Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards

·        Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration

·        Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components

·        Ensure data quality and integrity throughout the data processing lifecycle

·        Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques

·        Optimize data engineering workflows for containerized deployment and efficient resource utilization

·        Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability

·        Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance

·        Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements

·        Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure

·        Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference

1. More than 5 years of experience as a Data Engineer
2. · Bachelor's or Master's degree in Computer Science, Software Engineering, or a related discipline
3. · Possession of Quantexa certification as a Data Engineer or Data Architect, with proficiency in the tool
4. · Demonstrated experience as a Data Engineer, utilizing Hadoop, Spark, and data processing technologies in large-scale environments
5. · Expertise in the Scala programming language and familiarity with functional programming principles
6. · Prior experience with the Quantexa tool is highly desirable
7. · Comprehensive understanding of Apache Spark architecture, including RDDs, DataFrames, and Spark SQL
8. · Advanced proficiency in designing and developing data infrastructure utilizing Hadoop, Spark, and associated tools (HDFS, Hive, Pig, etc.)
9. · Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration via Kubernetes
10. · Proficiency in programming languages commonly employed in data engineering, including Spark, Python, Scala, or Java
11. · Knowledge of DevOps methodologies, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
12. · Experience with Graphana, Prometheus, and Splunk will be considered an added advantage
13. · Background in integrating and utilizing Elasticsearch for data indexing and search applications
14. · Solid understanding of Elasticsearch data modeling, indexing strategies, and query optimization techniques
15. · Experience with distributed computing, parallel processing, and handling large datasets
16. · Proficient in performance tuning and optimization methods for Spark applications and Elasticsearch queries
17. · Strong problem-solving and analytical capabilities with the capacity to debug and resolve intricate issues
18. · Familiarity with version control systems (e.g., Git) and collaborative development environments

We seek individuals with highly developed conceptual, strategic, and analytical skills, capable of striking a balance between visionary thinking and practical solutions. The ability to comprehend, inspire, and mobilize others is crucial. A business-oriented mindset coupled with effective storytelling will drive your success. We are looking for self-starters ready to take on responsibilities with enthusiasm.

As an ML Engineer, your pivotal role involves operationalizing ML Models developed by Bank data scientists. You will serve as the focal point for ML model refactoring, optimization, containerization, deployment, and quality monitoring. Your main responsibilities will include:
Conduct reviews for compliance of the ML models in accordance with overall platform governance principles such as versioning, data / model lineage, code best practices and provide feedback to data scientists for potential improvements

Develop pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD vertical within the MLOps domain. This can include monitoring for data drift, triggering model retraining and setting up rollbacks.

Optimize AI development environments (development, testing, production) for usability, reliability and performance.

Have a strong relationship with the infrastructure and application development team in order to understand the best method of integrating the ML model into enterprise applications (e.g., transforming resulting models into APIs).

Work with data engineers to ensure data storage (data warehouses or data lakes) and data pipelines feeding these repositories and the ML feature or data stores are working as intended.

Evaluate open-source and AI/ML platforms and tools for feasibility of usage and integration from an infrastructure perspective. This also involves staying updated about the newest developments, patches and upgrades to the ML platforms in use by the data science teams.

• Proficiency in Python used both for ML and automation tasks
• Good knowledge of Bash and Unix/Linux command-line toolkit is a must-have.
• Hands on experience building CI/CD pipelines orchestration by Jenkins, GitLab CI, GitHub Actions or similar tools is a must-have.
• Knowledge of OpenShift / Kubernetes is a must-have.
• Good understanding of ML libraries such as Panda, NumPy, H2O, or TensorFlow.
• Knowledge in the operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g., Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, Dataiku, H2O, or DKube).
• Knowledge of Distributed Data Processing framework, such as Spark, or Dask.
• Knowledge of Workflow Orchestrator, such as Airflow or Ctrl-M.
• Knowledge of Logging and Monitoring tools, such as Splunk and Geneos.
• Experience in defining the processes, standards, frameworks, prototypes and toolsets in support of AI and ML development, monitoring, testing and operationalization.
• Experience in ML operationalization and orchestration (MLOps) tools, techniques and platforms. This includes scaling delivery of models, managing and governing ML Models, and managing and scaling AI platforms.

Job Summary

As a Project Manager for Cloud Migration, you will lead the end-to-end migration of on-premises infrastructure and applications from on-prem to AWS Cloud. You will work closely with solution architects, cross-functional teams, including IT, business stakeholders, and cloud architects, to ensure successful planning, execution, and delivery of cloud migration projects. Your role will involve managing timelines, budgets, resources, and risks, ensuring that projects meet business objectives and comply with security and regulatory requirements.

Key Responsibilities

• Plan, coordinate, and manage cloud migration projects from on-premises to AWS, ensuring that project objectives, timelines, and budgets are met.

• Collaborate with stakeholders to define project scope, goals, and deliverables in alignment with business requirements.

• Work closely with solution architects, cloud architects, infrastructure teams, and vendors to execute the migration strategy.

• Identify and mitigate risks and issues throughout the project lifecycle, ensuring minimal disruption to business operations.

• Manage the development and execution of migration roadmaps, including application, database, and data migration.

• Lead project teams in the identification of dependencies, bottlenecks, and resource needs to ensure timely delivery.

• Ensure compliance with AWS cloud security standards, policies, and best practices.

• Communicate project status, risks, and mitigation plans to senior management and stakeholders.

• Monitor post-migration performance and ensure operational stability and optimization of AWS cloud infrastructure.

Bachelor’s degree in IT, Computer Science, or a related field.

• Strong years of experience in managing IT projects, preferably experience in GCC migration.

• Strong knowledge of AWS cloud services, including EC2, S3, RDS, VPC, IAM, and security best practices.

• Experience in managing large-scale infrastructure migration projects, particularly from on-premises to cloud environments.

• Proven track record in managing complex projects with multiple stakeholders and dependencies.

• Strong understanding of Agile and Waterfall project management methodologies.

• Experience with cloud automation tools, CI/CD pipelines, and infrastructure as code (e.g., Terraform, CloudFormation) is a plus.

• AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Developer) will be an added advantage.

We are seeking a skilled and motivated Data Engineer with expertise in Hadoop, Spark, OpenShift Container Platform (OCP), and DevOps practices. As a Data Engineer, you will be responsible for designing, developing, and maintaining efficient data pipelines, processing large-scale datasets. Your expertise in Hadoop, Spark, OCP, and DevOps will be crucial in ensuring the availability, scalability, and reliability of our ML Solutions.

Your main responsibilities will include:

• Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives
• Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions
• Ensure data quality and integrity throughout the data processing lifecycle
• Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques
• Optimize data engineering workflows for containerized deployment and efficient resource utilization
• Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability
• Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance
• Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements
• Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure
• Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference
• Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps
• Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank

• ·Bachelor's degree in Computer Science, Information Technology, or a related field
• Proven experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments
• Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)
• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes
• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java
• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
• Experience with Graphana, Prometheus, Splunk will be an added benefit
• Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenge
• Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment

As a Lead Data Engineer, you will play a leading role in designing, building, and optimizing our data infrastructure, ensuring that it supports the advanced analytics need of the bank. You will oversee a team of data engineers, working closely with data analysts, DevOps team, infrastructure engineers, and other stakeholders to deliver high-quality data solution.

Your main responsibilities will include:

• Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data.
• Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data.
• Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch.
• Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions.
• Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques.
• Optimize data engineering workflows for containerized deployment and efficient resource utilization.
• Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability.
• Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements.
• Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure.
• Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference.
• Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps.
• Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank.

• Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.
• At least 10 years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments.
• Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Ranger, etc)
• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes.
• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java.
• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
• Experience with Grafana, Prometheus, Splunk will be an added benefit
• Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges.
• Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus.

Scope of Work: The Business Project Manager will be responsible for overseeing and delivering key project initiatives.

Their role involves planning, coordination, and execution of project activities to meet business objectives, ensuring alignment with stakeholders and compliance with regulations.

Key Responsibilities:

Strong presentation skills are a must for this role.

Project Planning and Management

Develop and maintain detailed project plans, timelines, and milestones for the assigned scope.

Coordinate with cross-functional teams to align on deliverables and dependencies.

Identify risks and create mitigation plans to ensure project objectives are met.

Stakeholder Engagement and Communication.

Create a stakeholder map.

Act as the primary point of contact between internal and external stakeholders.

Ensure seamless handover of completed deliverables to the operational teams.

Documentation and Reporting

Maintain comprehensive project documentation (JIRA, confluence, gantt charts, etc), including task trackers, decisions, and lessons learned.

Deliver high-quality presentations and reports for management and stakeholders.

Salary: 7000 - 9000 SGD

We are looking for a talented Software Engineer with strong expertise in Python, Shell Scripting, Unix, and Automation. The ideal candidate is a self-starter who thrives in a fast-paced environment and can join immediately to contribute to mission-critical projects.

Key Responsibilities:

• Develop, test, and maintain Python scripts for automation and application development.
• Create and manage Shell Scripts for process automation and system management.
• Perform system administration and maintenance on Unix/Linux platforms.
• Design and implement automation workflows to streamline operations.
• Collaborate with cross-functional teams to gather and analyze requirements.
• Troubleshoot and resolve technical issues promptly.
• Ensure the security, reliability, and scalability of automated solutions.

• Min 5+ Years of experience as Software Developer
• Proficiency in Python programming, with a focus on scripting and automation.
• Strong knowledge of Shell Scripting
• Hands-on experience with Unix systems.
• Familiarity with automation tools and frameworks.
• Strong problem-solving and analytical abilities.
• Immediate joiner preferred

We are seeking a versatile Application Developer with strong expertise in Python, Unix Shell Scripting, and Selenium to join our growing team. The successful candidate will be responsible for developing and automating scalable solutions, ensuring robust application functionality, and contributing to process improvements in a dynamic environment.

Proficiency in Python programming for application development and automation.

Strong expertise in Unix/Linux environments with hands-on experience in shell scripting.

Solid knowledge of Selenium WebDriver for automation testing.

Understanding of software development life cycle (SDLC) and testing life cycle (STLC).

Experience with version control systems like Git and CI/CD tools (e.g., Jenkins, GitLab, or Bamboo).

Strong problem-solving and debugging skills in Python and Unix environments.

Familiarity with RESTful API testing and tools like Postman or RestAssured.

We are seeking a talented Cloud Engineer with expertise in Google Cloud Platform (GCP) to join our growing team. The ideal candidate will be responsible for designing, implementing, and maintaining cloud infrastructure and services on GCP. This role requires a deep understanding of cloud architecture, best practices, and hands-on experience with GCP services.

Cloud Infrastructure Design: Architect, design, and deploy scalable, secure, and cost-effective cloud infrastructure on GCP.

Automation and Scripting: Develop automation scripts to manage cloud infrastructure using tools like Terraform, Ansible, or Cloud Deployment Manager.

CI/CD Pipeline Management: Implement and maintain CI/CD pipelines to automate the deployment process and ensure smooth software delivery.

Security and Compliance: Ensure that the cloud environment meets security and compliance requirements by implementing best practices in identity management, data protection, and network security.

Monitoring and Optimization: Set up monitoring, logging, and alerting systems to ensure the health and performance of cloud resources. Optimize resource usage to minimize costs.

Collaboration: Work closely with development teams to provide cloud infrastructure support and to troubleshoot any issues related to cloud services.

Disaster Recovery: Design and implement disaster recovery plans to ensure business continuity in case of cloud service disruptions.

Documentation: Create and maintain comprehensive documentation of cloud architectures, configurations, and procedures.

Continuous Improvement: Stay updated with the latest GCP services, tools, and industry trends to continuously improve cloud infrastructure.

• Min 5+ Years of experience as cloud Engineer with expertise in GCP Cloud
• Extensive experience with Google Cloud Platform (GCP) services, including Compute Engine, Cloud Storage, Cloud SQL, Big Query, Kubernetes Engine (GKE), and more.
• Strong knowledge of cloud architecture and best practices for designing scalable, resilient, and secure cloud solutions.
• Proficiency in infrastructure-as-code tools such as Terraform, Cloud Deployment Manager, or Ansible.
• Experience with containerization and orchestration technologies, particularly Docker and Kubernetes.
• Experience with CI/CD tools like Jenkins, GitLab CI, or CircleCI.

• Provide IT technical onsite support for end user services problem which includes identification, diagnosis, rectification and escalation.
• Support on desktops, notebooks, printers, scanners hardware components.
• Installation, re-installation, troubleshooting and reconfiguration of Microsoft Windows and Microsoft applications that are found in the Desktop PCs and Notebook PCs. Examples of such software are Windows 10 OS or any standard desktop OS, MS Office, Internet Explorer, MS Outlook, MS Outlook Express, etc.
• Installation of Apple IPad software’s.
• Provide support for queries, escalation, problem determination, resolution and MAC – move, add and change.

• At least a Professional Certificate, Diploma or advanced /Higher /Graduate Diploma.
• Willing to learn and work in a team.
• Professional presence and excellent communication skills.
• Hardware Skill – Desktop, Laptop, Printer and Scanner
• ·Windows OS (Must know Windows 10)