Total 37 job vacancies by Kris Infotech Pte. Ltd.

Job Description:

• Responsible for migrating from as-is on-perm data warehouse to Databricks and sound knowledge of Databricks.
• Requires good understanding of data architecture, cloud solutions, building and maintaining a robust, integrated, and governed data infrastructure.
• The role involves extracting valuable insights from data while
  ensuring data security, compliance, and high-quality data management.

Roles And Responsibilities:

• Lead end to end data migration project from on-premises environments to Databricks with minimal downtime.
• Work with architects and lead solution design to meet functional and non-functional requirements.
• Hands on experience in Databricks to design and implement the solution on AWS.
• Hands on experience in configuring Databricks clusters, writing Pyspark codes, build CI/CD pipelines for the
deployments.
• Highly experienced in optimization techniques (Zordering, Auto Compaction, vacuuming)
• Process near real time data through Auto Loader, DLT pipelines
• Must have strong background in python and able to identify, communicate and mitigate risks and issues.
• Identify and resolve data-related issues and provide support to ensure data availability and integrity.
• Optimize AWS, Databricks resource usage to control costs while meeting performance and scalability
requirements.
• Stay up to date with AWS, Databricks services, and data engineering best practices to recommend and
implement new technologies and techniques.
• Proactively implement engineering methodologies, standards, and leading practices.

Requirements:

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.
• Minimum 5 years of experience in data engineering, with expertise in AWS or Azure services, Databricks, and/or
Informatica IDMC.
• Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.
• Evaluate potential technical solutions and make recommendations to resolve data issues especially on
performance assessment for complex data transformations and long running data processes.
• Strong knowledge of SQL and NoSQL databases.
• Familiarity with data modelling and schema design.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Databricks certifications, and Informatica certifications are a plus.
Preferred Skills:
• Experience with big data technologies like Apache Spark and Hadoop on Databricks.
• Experience in AWS Services focusing on data and architecting.
• Knowledge of containerization and orchestration tools like Docker and Kubernetes.
• Familiarity with data visualization tools like Tableau or Power BI.
• Understanding of DevOps principles for managing and deploying data pipelines.
• Experience with version control systems (e.g., Git) and CI/CD pipelines.
• Knowledge of data governance and data cataloguing tools, especially Informatica IDMC.

Job Description:

Performing all run activities in respect of CA-CIB process, ensuring :

• SLA and priorities are respected
• Appropriate reaction, in line with the severity of an incident or escalation.
• CA-CIB process are dully followed (service request, change, incident, problem management)
• Management of technical issues, escalations and ensuring good level of delivery
• Primary operational technical support and assist the functional support teams
• Good collaboration between various teams within ITS and also BLI

Continuous improvement of service:

• Propose improvement and solution to reduce repetitive tasks
• Improving complex operations (DRP, Migrations, Major maintenance etc.)
• Improving reliability and quality of our systems (automation, monitoring, alerting, security, RCA etc.)
• Reducing time-to-market by implementing CICD pipelines where possible.
• Improve and standardize existing workflow processes and framework.
• Bridging the gap between Dev and Ops.

Managing knowledge within the team:

• Share the knowledge within AS teams through the WIKI
• Promoting knowledge sharing within the organization (trainings, documentations etc.)

Driving the most complex operations & ensures they are well prepared (involvement on DRP test, WIP, etc…) :

• Act as global coordinator main events.
• Review of major releases roadmaps
• Ensure post checks are documented, performed and report is shared

Requirements:

• The position requires a minimum of 3 years relevant experiences as a production support or at least infrastructure support or development role.
• Functional: No functional skills required. Experience in a banking environment is obviously a plus.
• Technical and process
• Minimum 3 years of experience with UNIX environments.
• Minimum 3 years of experience in scripting languages such as Python, Powershell.
• Minimum 2 years of hands on experience in any of these tools and technologies such as Ansible, Gitlab, Azure Devops, Docker, Kubernetes.\
• Experience with task schedulers such as Control-MGood understanding of IT ecosystems and application architectures

Knowledge about

• CICD pipelines, ITIL practices, Agile practices, Lean
• Observability tools such as Grafana, Kibana, Prometheus, or Dynatrace is a plus

Soft skills

• Good analytical and problem solving skills
• Proactive and able to propose new ideas
• Positive attitude towards continuous learning and improvement
• Team player
• Curious about new technologies

No functional skills required. Experience in a banking environment is obviously a plus.

Job Description:

• Analyze an organization and design its processes and systems, assessing the business model and its integration with technology.
• Assess current state, identify customer requirements, and define the future state and/or business solution.
• Research, gather and synthesize information.
• As part of the Operations & Maintenance team, the responsibilities encompass a broad range of tasks aimed at ensuring the stability, security, and efficiency of our IT infrastructure. Key tasks include:
• Monthly Reports & Maintenance: Preparing comprehensive monthly reports and performing regular maintenance on Windows and Linux server components.
• Security Scans & Remediation: Conducting monthly IoC scans and vulnerability assessments, followed by remediation efforts on identified vulnerabilities in servers. Additionally, manage Internet Hygiene Portal (IHP) remediation for InSIGHT and VDI sites.
• Monitoring Alerts: Conduct daily performance monitoring, analysis, and cloud resource optimization across Azure Sentinel, Citrix VDI (Virtual Desktop Infrastructure), and Commvault backup systems. Thoroughly investigate alerts through querying Kusto Query Language(KQL) logs within Azure Monitor Log Analytics workspace, delving into root causes to ensure comprehensive resolution.
• Application Deployment: Deploy the InSIGHT application, including components like Genie agents, App Service UI, App Service API, and App Migrator.
• VDI User Onboarding: Onboarding VDI user accounts and mapping their personal and shared drives to facilitate smooth operations.
• Citrix Components & Palo Alto upgrade: Perform patches on Citrix components, eg. Citrix Storefront, Citrix ADC, Citrix Virtual Apps and Desktop. Upgrade PAN OS versions, fix security vulnerabilities in Palo Alto.
• Certificate Management: Renewing internal and external SSL/RDP certificates to maintain secure communication channels.
• PBI User Onboarding & Permissions: Onboarding new PowerBI users, granting permissions to various reports, and utilizing utility tools to manage report permissions and Row-Level Security (RLS).
• Documentation: Updating and creating standard operating procedures (SOPs) and audit documents to ensure compliance and streamline processes.

Requirements:

Must have:

• Azure Administration, Citrix Virtual Desktop Infrastructure (VDI), Firewall networking Administration (Palo Alto Firewall), Windows Server Update Services (WSUS)

Good to have:

• SQL Administration, PowerBI, Windows Server, Redhat Enterprise Linux, Active Directory, Imperva Database Activity Monitoring (DAM), ElasticSearch/Kibana

1 - Business Model Strategy (P3 - Advanced)

2 - Requirements Analysis (P3 - Advanced)

Job Description:

• A ETL Eng will oversee the migration specializing in Informatica PowerCenter to IDMC.
• This role involves leading the migration efforts, ensuring seamless transition, and leveraging the advanced features of IDMC.
• The ideal person will have extensive experience in data integration, migration projects and hands-on expertise with both CDI-PC and IDMC.

Roles And Responsibilities:
• Manage the end-to-end migration process from informatica PowerCenter (CDI PC) to Informatica
IDMC, ensuring minimal disruption to business operations.
• Collaborate with architects and stakeholders to design robust migration strategies and solutions that meet both
functional and non-functional requirements.
• Hands on experience in Informatica IDMC for creating mappings, workflows, setting up Secure Agents etc.,
• Completed or knowledge in utilizing Informatica CDI-PC for seamless migration from PowerCenter to IDMC
• Integrate data from various sources, both internal and external, into AWS and Databricks environments,
ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and
governance.
• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable
for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.
• Monitor and optimize data processing and query performance in both AWS and Databricks environments,
making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for
optimizing data workflows.
• Implement security best practices and data encryption methods to protect sensitive data in both AWS and
Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and
compliance.
• Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both
AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.
• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to
understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC.
• Identify and resolve data-related issues and provide support to ensure data availability and integrity in both
AWS, Databricks, and Informatica IDMC environments.
• Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and
scalability requirements.
• Stay up to date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to
recommend and implement new technologies and techniques.

Requirements:

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.
• Minimum 5 years of experience in data engineering, with expertise in AWS or Azure services, Databricks, and/or
Informatica IDMC.
• Extensive experience with Informatica PowerCenter (CDI-PC) and IDMC
• Strong understanding of data integration concepts, ETL process and data quality management.
• Proficiency in designing and implementing data mappings, transformations, and workflows.
• Evaluate potential technical solutions and make recommendations to resolve data issues especially on
performance assessment for complex data transformations and long running data processes.
• Strong knowledge of SQL and NoSQL databases.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Databricks certifications, and Informatica certifications are a plus.

Preferred Skills:
• Experience with other cloud based ETL technologies.
• Experience in AWS Services focusing on ETL and data processing.
• Familiarity with data visualization tools like Tableau or Power BI.
• Understanding of DevOps principles for managing and deploying data pipelines.
• Experience with version control systems (e.g., Git) and CI/CD pipelines.
• Knowledge of data governance and data cataloguing tools, especially Informatica IDMC.

Job Description:

• You will be responsible for developing and maintaining the Microstrategy setup within the overall Data Platform.
• The engineer must be able to discuss requirements with the clients and support in setup and issue rectifications.

Requirements:

• MUST have strong MSTR knowledge
• Able to coms to users and be proactive.

Top 3 skills (must have)

1. MicroStrategy Business Intelligence
2. ETL Pipelines
3. Data Modeling Techniques and Methodologies

Job Description:

• As a Cloud Security Engineer, you will provide excellent technical guidance to customers adopting Company Cloud services.
• You will provide best practices on secure foundational cloud implementations, automated provisioning of infrastructure and applications, cloud-ready application architectures, and more.
• You will provide prescriptive guidance in ensuring customers receive the best of what Company's Cloud Platform (GCP) can offer and you will ensure that customers have the best experience in migrating, building, modernising, and maintaining applications in the Cloud.
• Additionally, you will work closely with Product Management and Product Engineering to drive excellence in the Cloud products and features.
• Provide deep domain expertise in cloud security and be a trusted technical advisor to customers and solve complex cloud security & compliance challenges.
• Work with customers to design and develop cloud security architectures and solutions to meet and exceed their security requirements, through deep dive discussions, strategic presentations/recommendations, and hands on implementation in Cloud environment.
• Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders.
• Communicate effectively via video conferencing for meetings, technical reviews and onsite delivery activities.
• Manage disparate senior stakeholders within customer environments to deliver consensus and drive positive customer outcomes on the Cloud platform.
• Stay connected with the latest security trends throughout various industry verticals.
• Travel regularly (up to 30%, although we also frequently use video conferencing) in-region for meetings, technical reviews, and onsite delivery activities.

Requirements:

Minimum Qualifications (MQs)
● Bachelor’s degree in Computer Science, Engineering or related technical field or equivalent practical experience.
● Coding experience in one or more general purpose languages.
● Experience managing customer projects to completion, working with engineering teams, sales and partners.
● Experience architecting, developing, or maintaining secure cloud solutions.
● Strong verbal and written communication skills (English and Mandarin Chinese), and the ability to develop high-quality technical documentation and presentation materials.

Preferred Qualifications (PQs)
● At Least 7 years of security architecture and/or security engineering experience
● Hands on and deep knowledge of security principles.
● Demonstrated experience in Cloud Security delivered within the context of customer facing roles.
● Experience understanding attacks and mitigation methods, in two or more of the following: Network protocols and secure network design; Operating system internals and hardening; Web application security; Security assessments and penetration testing; Authentication and access control; Applied cryptography and security protocols; Security monitoring and intrusion detection, Incident response and forensics; Development of security tools, automation or frameworks.
● Strong practical experience securing Kubernetes and containerised workloads.

Job Description:

1) Act as test lead and generate test documentation such as test strategy, test report, test planning. Working with team member whenever required
2) Understand and translate requirements, design/functional specifications to define test requirements, and design test cases.
3) Participate in reviews for feature requirements. Perform analysis and improvement on the existing test cases.
4) Perform analysis and improvement on the existing test cases
5) Debug failures, report and track anomalies Develop test ware, test script and execute firmware functional tests based on established guidelines. Debug failures, report and track anomalies.
6) Report progress to the team lead and manager, escalate issues on time whenever necessary.
7) Perform regression testing whenever necessary.
8) Contribute to test KPI activities by leading the continuous improvement activities

Requirements:

1) Hands on experience in Manual testing. Like different types of tests(Hardware test , Firmware test , Software test )
2) Knowledge and expertise in Test Engineering processes (Agile, continuous integration, waterfall) and methods for test case design and test coverage optimization.
3) Knowledge and expertise in test automation tools.
4) Hands on experience in test automation frameworks
5) Programming experience in scripting languages is required (preferably Python).
6) Experience in Ladder Programming is required
7) Experience/knowledge of industrial automation and PLC application.
8) Good electrical and Test bed design skill/experience good to have.
9) Experience with test lab development and support.
10) Experience with bug/anomaly tracking and triage systems.
11) Good analytical and troubleshooting skills is required.
12) Passionate with testing and curious to explore.
13) Good skills in written communications.
14) Excellent interpersonal and communication skills.
15) Ability to work in teams or independently, action-oriented and possesses strong drive for results
16) Passionate with testing and curious to explore

Job Description:

• Highly motivated and results-oriented Analyst with technical expertise in AWS cloud environments, specifically GCC AWS.
• Experienced in using Terraform for infrastructure automation, and skilled in developing reporting solutions using Elixir and MongoDB.
• Contributed to cloud migration projects, ensuring smooth transitions and optimized performance.
• Proficient in CI/CD practices with GitLab (Ship-Hats).

Requirements:

Top Mandatory skills
1. AWS
2. Mongo DB
3. Kubernetes

Skills which are good to have / optional
1. DevOps
2. Terraform
3. Communication

Job Description:

• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software
• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Maintain existing BI solutions / ETL pipelines and propose continuous improvements
• Communicate and collaborate with architects, stakeholders, business analysts, and project managers to gather requirements and define technical solution
• Ability to design appropriate solution in compliant to CACIB standards
• Develops detailed technical work plans, estimates, improvement plans and status reports
• Perform regular peer-reviews, maintain low technical debts, assess & up-skill junior staffs
• Ensure the respect of CACIB code of conduct and compliance rules within the team
• Contribute to initiatives managed at department level (continuous improvement, innovation…)

Requirements:

• SQL & DW/DM concepts are mandatory.
• Basic knowledge of SSIS & Power BI or Tableau or Qiksense of any other tools.
• This position requires a candidate with at least a bachelor degree in computer studies.
• Minimum 6 years of experience in financing industry, ideally in a banking environment at least 3 years of development experience with using Microsoft Business Intelligence stack covering Tabular Analysis Service, Data warehousing, Performance tuning.
• Data transformations and quality checks
• Power BI dashboarding and reporting
• Good exposure and usage experience in CI/CD tools / processes preferably Azure DevOps
• Ability to design and present technical solutions to architects and to team
  proactive and problem solving attitude with ability to anticipate risks
• Strong communication (written and verbal) and organisational skills

Preferred (additional skills preferred, but not mandatory)

• Exposure to data science technologies or other competitive data processing tools like Python, Spark, etc.
• Experience on test driven development
• Experience with Data Visualisation tools

Skills Matrix

• MS BI Technology
• SQL, SSIS, SSRSn SSAS
• Power BI or Tabeau or Qliksense or any other tools
• Basics DW/DM Concepts
• Any Scripting knowledge
• SQL & DW/DM concepts are mandatory, Basic knowledge of SSIS & Power BI or Tableau or Qiksense of any other tools.

Job Description:

1. Configuration Management:

• Develop and maintain configuration management plans and procedures.

• Establish and enforce configuration management standards and best practices.

• Manage configuration items and their relationships throughout the software development lifecycle.

• Implement tools and automation for configuration identification, control, and auditing.

2. Software Release Management:

• Plan, coordinate, and execute software releases across different environments (e.g., development, testing, staging, production).

• Define release strategies and deployment processes to ensure smooth and efficient delivery of software releases.

• Collaborate with development, QA, and operations teams to resolve release-related issues and ensure timely delivery.

• Monitor release activities and implement improvements to streamline release processes.

3. Version Control:

• Manage version control systems (e.g., Git, SVN) to track changes to system/software artifacts and facilitate collaboration among development teams.

• Implement branching and merging strategies to support parallel development efforts and release branching.

4. Change Management:

• Facilitate change control processes to assess the impact of proposed changes and ensure proper approval and documentation.

• Coordinate with stakeholders to communicate and manage change requests throughout the software development lifecycle.

5. Continuous Integration/Continuous Deployment (CI/CD):

• Plan and control strategy on CI/CD pipelines to automate build, test, and deployment processes.

• Monitor CI/CD pipelines for failures and performance issues, and implement remediation measures to improve configuration control as needed.

6. Quality Assurance:

• Collaborate with QA teams to ensure that configuration and system/software releases meet quality standards and functional requirements.

• Participate in release testing activities and provide support for troubleshooting and resolving issues

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field; Master's degree preferred.

• 5+ years of experience in configuration management and software release management roles.

• Strong understanding of system lifecycle and software development methodologies (e.g., Agile, DevOps).

• Proficiency in version control systems (e.g., Git, SVN) and CI/CD tools (e.g., Jenkins, Travis CI).

• Experience with scripting and automation using languages such as Python, Bash, or PowerShell.

• Excellent analytical and problem-solving skills, with a keen attention to detail.

• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.

• Certifications in configuration management (e.g., CMII) and release management (e.g., ITIL) are a plus.

Job Description:

• Research, design and deploy software & tools required for AI factory team and their customers. The software infrastructure asset may include DataIku, MLOps, Graph, Vector databases.
• Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.
• Work with infrastructure operation teams to integrate hardware and software systems and develop specifications and performance requirements to deliver quality platform experience.
• Ensure infrastructure assets are patched to manage vulnerabilities and upgraded before it gets obsolete.
• Analyze user needs in terms of scalability, availability and security to design and cater infrastructure and software solutions.
• Provide support for critical business needs on platform troubleshooting / scalability issues.
• Configure and extend custom monitoring solutions for proactive platform management.
• Assist users in setting up and deploying new DataIku projects; collaborate with data scientists and analysts to optimize project workflows.
• Provide support and guidance to users on platform capabilities and features; create documentations and best practices.
• Ensure smooth integration of DataIku projects with existing systems and data sources.

Requirements:

• At least a bachelor degree in computer studies.
• Minimum 5 years of experience in software engineering role ideally in banking environment.
• Experienced with DataIku development or similar tools.
• Experienced with infrastructure build / maintenance (on premise or cloud).
• Good knowledge on virtual machines, Kubernetes / Docker hosting and setup.
• Knowledge of Python programming and Shell scripting.
• Strong troubleshooting and debugging skills in Linux OS and networking.
• Proactive style of working with a strong ethos of continuous learning.
  
  Preferred (additional skills preferred, but not mandatory)
  - Knowledge on Data modeling, Data science, Data processing, etc.
  - Exposure to cloud infrastructure #DevFinSecOps
  - ITIL process and policies
  
  If Dataiku is not present, experience of Tableau or Power BI (more to Data Oriented) and some Devops Experience.

Job Description:

The Cloud Infrastructure Engineer is responsible for building, designing, deploying, maintaining and lead the implementation of Cloud solutions on AWS infrastructure in GCC2.0.

• Define and document best practices and strategies regarding application deployment and infrastructure maintenance
• Supervise infrastructure including proactive capacity management and replication strategies
• Help implement the technology direction, vision, and strategy to enable Cloud technology adoption while gaining thorough understanding of the current application infrastructure
• Implement and refine cloud future state architectures and roadmaps including architecture standards, guidelines, and industry best practices.
• Troubleshoot and resolve technical operational issues related to the AWS Cloud Infrastructure
• Set up a monitoring stack that helps to monitor infrastructure 24x7
• Implement, deploy and maintain development, staging & production environments for AWS cloud-based micro-services architecture
• Performance tuning, hardware upgrades, and resource optimization as required. Configure CPU, memory, and disk partitions as required; maintain data center environment and monitoring equipment.

Requirements:

• Professional Cloud certifications including one in GCP/AWS/Azure
• 5 years of cloud experience
• Experience using monitoring solutions like CloudWatch, ELK Stack, and Prometheus
• An understanding of writing Infrastructure-as-Code (iMac), using tools like CloudFormation or Terraform
• Familiarity with AWS networking and routing technologies (VPC, Security groups, NACL, Route53, Load Balancing and Availability zones)
• Experience with cloud scale logging and monitoring solutions

Job Description:

• Perform the engineering requirements analysis.
• Provides required technical documentation.
• Design Documents (Preliminary, Final).
• Statement of Works for suppliers and external contractors.
• Input/output requirement for Interfaces Management.
• Input for specialty engineering: RAMS, EMC/EMI, Cyber-Security.
• Input for Installation Management.
• Operation and Maintenance documentation.
• Training material.
• Assists the bid team to scope and cost engineering work packages.
• Work with contractors to produce costing, ensure that they deliver on time.\
• Reports and follow-up the KPIs for the sub-system.
• Participate to progress meetings.
• Analyses and Correct the Problem Changes Requests.

Requirements:

QUALIFICATIONS:

• Tertiary qualification in Computer Science, Information Technology, Electronics Engineering or related discipline (essential)
• Higher degree qualifications are desirable.
• Demonstrated engineering competencies required for qualification to INCOSE CSEP (or equivalent, or ASEP) are highly desirable.

ESSENTIAL EXPERIENCE:

• Minimum of 5 years’ experience in an Engineering role.
• Able to decipher technical scope from high level requirements.
• Experience with Governmental and/or complex IT Projects.
• Strong oral and written communications skills.

DESIRABLE EXPERIENCE:

• Experience working on Security projects.
• Experience working within a Systems Engineering lifecycle.
• Membership of relevant professional organisation, e.g. INCOSE, Institution of Engineers Singapore, etc.

Job Description:

• Plan and lead the development of new and advanced data analytic techniques, methodologies and analytical solutions from design, prototyping, and testing. Identify and develop core data and AI science components for the delivery of projects, architect specialised database and computing environments, explore and visualise complex data set to provide incremental business value.
• Extract and integrate data from various sources, and create advanced models and algorithms suitable for the business use case.
• Conduct testing on data and AI models, interprets findings from testing, and evaluates model performance for scaling and deployment.
• Work in a team setting and apply proficient in statistics, scripting and programming languages required by the firm.
• Work with relevant software platforms on which the solution is deployed.

Requirements:

• Minimum total three years’ work experience as AI researcher or scientist

Job Description:

• Plan and lead the development of new and advanced data analytic techniques, methodologies and analytical solutions from design, prototyping, and testing.
• Identify and develop core data and AI science components for the delivery of projects, architect specialised database and computing environments, explore and visualise complex data set to provide incremental business value.
• Extract and integrate data from various sources, and create advanced models and algorithms suitable for the business use case.
• Conduct testing on data and AI models, interprets findings from testing, and evaluates model performance for scaling and deployment.
• Work in a team setting and apply proficient in statistics, scripting and programming languages required by the firm.
• Work with relevant software platforms on which the solution is deployed.

Requirements:

• Minimum total seven years’ work experience as AI researcher or scientist

Job Description:

• Support the production of scalable and optimised AI or machine learning (ML) models.
• Focus on building algorithms for the extraction, transformation and loading of large volumes of real-time, unstructured data to deploy AI or ML solutions from theoretical data science models.
• Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.
• Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.
• Work with the relevant software platforms in which the models are deployed.

Requirements:

• Minimum total seven years’ work experience as AI Engineer.

Job Description:

• Support the production of scalable and optimised AI or machine learning (ML) models.
• Focus on building algorithms for the extraction, transformation and loading of large volumes of real-time, unstructured data to deploy AI or ML solutions from theoretical data science models.
• Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.
• Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.
• Work with the relevant software platforms in which the models are deployed.

Requirements:

• Minimum total three years’ work experience as AI Engineer.

Job Description:

• Expertise in Python, PySpark, and SQL to join our dynamic team.
• The ideal candidate will have a strong programming background and experience in the financial industry.
• Proficiency in SAS programming and the ability to speak Chinese are considered a plus.
• Programming and ETL: Develop and maintain Python, PySpark, and SQL codes to support various tasks and activities.
• Perform code reviews and discovery.
• Conduct ETL processes to create data pipelines.
• Perform data quality checks and prepare data marts for business applications such as Tableau Control Tower and Campaigns.
• Data Reconciliation: Conduct sophisticated data reconciliation to identify data issues.
• Support investigation processes to resolve data discrepancies.
• Data Visualization: Develop visualizations for business problem-solving and control tower purposes using Tableau.

Requirements:

• Strong logical thinking and programming skills.
• Excellent communication skills.
• Experience in the financial industry is a plus.
• Proficiency in SAS programming is a plus.

• 4- 9 yrs and 6-9 yrs experience.

Job Description:

• The ideal candidate will possess strong expertise in Ansible, YAML, Python, Angular JS and PowerShell scripting, as well as the ability to work with a wide range of technologies, including Linux, Windows, Core OS, RHEL and platforms such as Red Hat OpenShift Container Platform (OCP), AWS and Azure.
• Collaborate with cross-functional teams to understand business requirements and design automation solutions using Ansible and other relevant technologies.
• Develop and maintain a strategic plan for centralising Ansible automation.
• OCP Application Onboarding (Namespace Creation, Quota Assignment, BAC role assignment)
• Develop and test digital forms (using AngularJS) to record the user requirement as per the specification document.
• JSON Handling: Proficiently work with JSON data for configuration management and data interchange.
• Develop Ansible playbook for onboarding the application onto OCP and perform Unit testing.
• Setup DevOps pipeline to build and release the Ansible playbooks.
• Create, test, and maintain Ansible playbooks and roles that automate various tasks, configurations, and deployments.
• Maintain and update the centralised inventory of managed hosts and resources.
• Security and Compliance: Implement security best practices for Ansible, including credential and secrets management. Ensure that automation complies with organizational security and compliance policies.
• Scripting: Develop and maintain Python and PowerShell scripts to automate various tasks and processes.
• API Integration: Work with APIs to facilitate communication between different systems and platforms.
• Technology Stack Management: Manage and support automation solutions across a diverse technology stack, including Linux, Windows, RHEL, Core OS, OCP and good to have AWS.
• Source Control: Use GitLab, Bitbucket, Jenkins, and JIRA for version control and collaborate with development teams to ensure code integrity.
• Cloud Infrastructure Management: Work with Terraform and CloudFormation to efficiently provision and manage cloud resources.
• IT Service Management: Integrate automation solutions with ITSM tools to improve service delivery and incident management.

Requirements:

• Bachelor's degree in computer science, information technology, or a related field
• 3 to 5 years of Proven experience as an Ansible Automation Engineer or similar role.
• Strong scripting skills in Python, YAML, Angular JS and PowerShell and good to have Java and Groovy.
• Excellent communication skills.
• Familiarity with API calls and JSON.
• Proficiency in working with Linux , Windows, Core OS, and RHEL environments.
• Knowledge of cloud platforms such as OCP and AWS.
• Experience with Red Hat Ansible Automation Platform and Ansible is a must.
• Familiarity with GitLab, Bitbucket, Jenkins and JIRA for version control.
• Experience with integration of automation solutions into ITSM tools.
• Solid understanding of automation principles and practices Docker and Kubernetes for containerisation and orchestration.
• Fair knowledge in networking, including VLANs, firewalls, and ports.

Job Description:

The Security Engineer will participate in evaluating, developing, and implementing security tools, standards, procedures, and guidelines. This role will collaborate with both technical and non-technical business partners and stakeholders.

• Ensures security infrastructure processes, concepts, and maintenance are incorporated into systems, software, and hardware platforms in accordance with approved internal standards
• Provides technical input to projects along with implementation support to network services and infrastructure design teams
• Performs maintenance of security infrastructure to include updates and patching of software and hardware
• Maintains a comprehensive and in depth, component level understanding of all IT systems, data flows, applications, technologies, security controls, threats, weaknesses and countermeasures
• Supports information security governance, risk management and compliance programs which include security assessments and on-site reviews, security gap remediation, security incident support, audit support functions, business process and project consultancy and security education and awareness
• Designs and develops secure IT solutions and control frameworks using network segmentation, gateway security, specialist security tools (e.g., ACL, Tokenization)

Requirements:

• Experience with cloud technologies: AWS, Azure, GCP
• Experience with securing and hardening Windows, Linux
• Experience with networking protocols and technologies: TCP/IP, routers, firewalls, VPN, load balancers
• Experience with on premise and cloud-based security technologies: end point protection, hardware security modules, sandboxes, SIEM, web application firewall, intrusion detection systems, intrusion prevention systems, web proxies, wireless intrusion prevention systems, and file integrity monitoring

Job Description:

Platform Security - Cloud Infra Security Operation and Maintenance.

Responsibilities:
- Security monitoring events review
- Incident response and investigation
- Support VAPT remediation
- Support security tooling patches and updates
- Support onboarding/offboarding for Privilege access management system
- Conduct Network VA scan and Host configuration, Cloud hardening review support
- Security Incident and event report generation and reporting
- Response to GCSoC security events
- Response to LTA common services SIEM events
- Support remediation from GCC CloudScape compliance scan open items
- Support Impact Analysis for SR and CR

Requirements:

- Azure cloud certification

Primary Skill: Azure Security, Sentinel, Defender for Cloud, Endpoint Security, Firewall, Log Analytics, Imperva, CyberArk.

Secondary Skill: AWS Security, GuardDuty, Security Hub, Cloud Trail, Cloud Watch.

1 - Enterprise Security Architecture (ESA) Fundamentals (P2 - Intermediate)

Job Description:

• Proficiency with SQL.
• Building data pipelines and architecture.
• Should have extensive experience with relational and NO-SQL databases.
• Should have proficiency in handling both structured and unstructured data sources.
• Strong experience deploying applications to cloud platforms like Azure, AWS.
• Interest in building efficient batch and streaming data engineering pipelines.
• Exposure to distributed data processing platforms like Spark.
• Proficiency with SQL.
• Building data pipelines and architecture.
• Should have extensive experience with relational and NO-SQL databases.
• Should have proficiency in handling both structured and unstructured data sources.

Job Description:

• Develop next generation communication modules and Input/output modules for industrial automation applications.
• You will be involved in the entire product development life cycle activities from defining the functional specification, design and implementation till release.
• You will be required to consistently meet project deliverables with high quality and work in a diverse team environment across the globe.

Requirements:

• Bachelor or Master’s degree in Computer Science/Electronics Engineering with minimum 8-10 years of experience in embedded software development
• Demonstrated experience in development of PLCs and/or Bus Couplers and/or IO modules for industrial automation applications
• Should have delivered at least 3 products from inception to release with quality
• Hands-on experience in developing prototype and design validation techniques
• Demonstrated programming experience with C and/or C++
• Experience in developing applications on VxWorks
• Hands-on experience with communication protocols (Modbus, EtherNet/IP, CAN, Serial)
• Experienced in solving complex system problems with systematic troubleshooting skills
• Preferred if the candidate has worked on PLC with CoDeSys environment
• Hands-on with GIT, IAR workbench, Drivers for HW peripherals and secure coding
• Highly motivated and able to start contributing towards deliverables within a short notice

Job Description:

• Develop and Maintain Test Automation Framework.
• Lead the rollout of Test Automation practices (incl. BDD).
• Organize and conduct trainings for Cucumber, Selenium and Selenium Grid.
• Analyze and define requirements for Test Automation Framework enhancements.
• Liaise with product owners, business analysts for clarification and understanding of test automation scenarios and implement automation.
• Lead the enhancements of TI+ Performance Testing Framework built based on Selenium Grid.
• Be able to implement other Performance Testing Frameworks (e.g. JMeter, NeoLoad, Gatling, K6 or equivalents).
• Utilize Dynatrace tool for application performance and scalability analysis.
• Utilize and scale-up (down) Private Cloud Management Platform used for Performance Testing Framework.
• Be able to conduct migration of Performance Testing Framework to Public Cloud (e.g. AWS, GCP or equivalent).
• Utilize Generative AI tools to optimize test automation practices.
• Develop and enhance TI+ solution: Study, evaluate and provide feedback on functional requirements / user stories.
• Liaise with product owners, business analysts for clarification and understanding of requirements / user stories.
• Analyze technical constraints considering functional impacts with technical lead’s help.
• Contribute to technical design and liaise with product owners, business analysts on all aspects of functional requirements.
• Keep up to date detailed technical documentation.
• Provide high-level estimation for high-level requirements / EPICs.
• Provide detailed estimation for detailed requirements / user stories.
• Develop, implement and test application components.
• Implement solutions using TDD/BDD.
• Perform level 3 support.

Requirements:

The position requires a minimum of 15 years relevant software engineering / test automation experience.

Technical

• Good knowledge of all phases of IT system development and implementation life cycle.
• Minimum 10 years of Java development experience.
• Extensive knowledge of Test Automation and BDD practices.
• Extensive knowledge on Cucumber / Selenium / Selenium Grid.
• Extensive knowledge of Performance Testing Frameworks (e.g. JMeter, NeoLoad, Gatling, K6 or equivalents).
• Knowledge in Jira X-Ray.
• Good experience with DevSecOps and CI/CD tools.
• Knowledge and experience of cloud architecture (e.g. AWS, GCP) as a advantage, with willingness to learn the other technology stack

Functional

• Extensive knowledge of software testing phases and methodology.
• Good understanding of Trade Finance operations.
• Knowledge of TI+ solution or equivalent (as advantage)

Other Professional Skills and Mindset

• Work on complex systems and a challenging international work environment.
• Excellent written and verbal communication skills for both teammates and management.
• Strong analytical and problem solving skills.
• Appetite to follow technology trend and participate to communities.
• Passion for sharing expertise and grow team members’ skills.
• Interest in mentoring and guiding junior team members on the path of high quality deliverables.

Job Description:

Using the Talend ETL toolset, to create new and maintain existing ETL jobs.

• Design and implement ETL for extracting and transforming data from diverse sources, such as: Cloudera, PostgreSQL, and SQL Server databases.

• Design and develop database tables necessary along with the necessary constraints as per the requirement.

• Collaborate with Team members to understand source system structures and data retrieval methods/techniques, and tools within the organization.

• Support the development of data transformation logic using ETL tools or scripting languages like SQL, Python, etc.

• Clean, validate, and transform data to conform to target schema and quality standards.

• Work with the Team to execute data quality improvement plans.

• Participate in troubleshooting activities to maintain data integrity and process efficiency.

Requirements:

Experience with Talend, Python and Spark

• Should have good knowledge and working experience in Database and Hadoop (Hive, Impala, HDFS).

• Understanding of data-warehousing and data-modeling techniques

• Knowledge of industry-wide visualization and analytics tools

• Good interpersonal skills and positive attitude qualifications

• Degree in computer science, mathematics, or engineering