Total 13 System Engineer job vacancies in Johor Bahru

Requirement

• Bachelor's or Masters degree in computer science, engineering or in Finance domain or equivalent degree.
• Experience and good working knowledge with MUREX.
• Functional understanding of counterparty risk and potential future exposure (pfe).
• Experience in product pricing methodologies
• Experience in VaR, MRA, MRE Configurations
• Understanding of the model assignments, market data, Rate curves etc.
• Understanding of simulations and datamart module
• Strong technical & functional background.

Requirement

• Bachelor's Degree of Computer Science and overall work experience of 8 – 10 years.
• At least 1 full end to end project delivery experience in last 2 years as full stack engineer as mentioned in the Qualifications and Job descriptions section
• Familiarity with agile and DevOps principles, test-driven development, continuous integration, and other Software Engineering best practices to accelerate the delivery and quality of new features
• Minimum 3 years of hands-on experience in Java, Spring Boot, JavaScript, SQL/PostgreSQL.
• Minimum 2 years of hands-on experience in any of the technology such as Docker, Kubernetes, Azure Cloud, Kafka, SQL, NoSQL, and DevOps Tools such as Jenkins, Bitbucket, JIRA.
• Hands on experience in application monitoring with New Relic, Devo, or related tools.
• Strong analytical and problem-solving skills.
• Strong interpersonal and communication skills.
• Positive attitude towards continuous learning.

On the job you will:

• Work closely with solution architects, application development team to ensure adherence to best practices in design and coding w.r.t SRE principles.
• Monitor, troubleshoot & analyze application & underlying infrastructure performance issues as part of the performance engineering exercises and derive gold-configuration parameters.
• Drive thorough performance analysis of microservices code by using single-user code profiling techniques.
• Assist development team to tune the applications/configurations for critical systems to comply with the NFR before going live in production and ensure the performance recommendations are part of the change request process.
• Ensure appropriate governance w.r.t framework usage across multiple delivery streams and enhance the framework capability to meet the upcoming requirements.
• Participate & contribute to resiliency validation exercises and create proper reporting to the stakeholders.
• Define SLOs at both application-level and service-level, set alert rules and roll-out monitoring dashboards for Production with timely reporting to the stakeholders.
• Automation of various manual tasks w.r.t performance monitoring, alerting, analysis, reporting, capacity planning etc. to improve application observability, resiliency & operational efficiency.

Responsibilities:

• Collaborate with data scientists, coders, programmers and other stakeholders
• Creating and managing the AI development process and general infrastructure of a product
• Doing statistical analysis and interpreting findings
• Automating critical tasks and procedures for a data science team
• Creating data transformation infrastructure
• Developing AI models communicating the utility of the AI models they generate to a diverse range of employees inside the organisation, including product managers and management executives.
• Converting machine learning models into APIs with which other apps may interact.

Requirements:

• Master / Bachelor’s degree in computer science, computer engineering, or relevant field.
• A minimum of 6+ years’ experience in a similar role.
• Strong knowledge of Datawarehouse / database / Cloud systems and data mining would be prefered.
• Excellent organizational and analytical abilities.
• Outstanding problem solver.

Requirement

Must have 8 years and above working experience in the following areas:-

• Relevant experience in a Financial Institution for Regulatory Reporting specially on CRS reporting.
• Good understanding of core banking and treasury products and data requirement for CRS or regulatory reporting.
• Good understanding in SDLC phases.
• Capability in requirement analysis and functional design skills
• Capability of self-learning and a quick learner.
• Be adaptable, flexible and be able to thrive in a challenging, fast-paced of a growing organization / environment
• Experience with project management best practices/ methodologies/ project lifecycle.
• Ability to develop and maintain productive working relationships with colleagues in distributed global locations.
• Strong knowledge on MS SQL developer and should be able to write sql queries.

Key Requirement

• At least 10 years of hands-on operational experience in Messaging and collaboration, Exchange Hybrid, Unified Communication domain with Skills - MS Teams/Skype for Business with Enterprise Voice, knowledge, and experience on deployment of Microsoft SFB/Teams in large enterprise.
• At least 4 years of proven experience as L3 escalation engineer for operation issues and problems
• Experience in financial sectors is preferred.
• Hands-on operational troubleshooting Messaging and United Communication (Exchange/Teams)
• Experience with Microsoft Teams Templates
• Familiarity with Azure admin centre and Teams admin centre
• Microsoft Certification (Teams Administrator Associate/Collaboration Communications Systems Engineer Associate)
• Understanding of Microsoft 365 Services (Azure, Exchange, O365 etc.)
• Experience with Azure Active Directory (AD) Groups and Microsoft (M365) Groups
• Microsoft Windows 10 operating systems.
• Microsoft Windows Server operating systems.
• Scripting and automation experience in PowerShell, Python, Graph API to automate business processes.
• Power BI and Azure Dashboard
• Understanding in telecommunications, E911, SBC, Country Carrier SIP networks, MS Operator Connect
• A conceptual understanding of routing/switching/QoS, DHCP, DNS, TCP/IP, subnetting, proxies, firewalls and their potential impact on voice, video, and web streaming network environments
• Strong analytical, interpersonal, facilitation and leadership skills along with effective oral/written communication skills
• Ability to explain technical information to non-technical users. Staying calm under pressure
• Ability to work collaboratively with others, take the initiative to troubleshoot issues, and offer guidance and recommendations for improvements
• Ability to organize and prioritize multiple assignments, using judgment and initiative to accomplish results as well as produce accurate work while meeting time-sensitive deadlines.
• Experience using ticketing systems like HPSM, Infinity or JIRA.

Key Requirement

• 5 - 7 years of experience in a Cloud/DevOps Engineering role
• Strong knowledge of Cloud principles, practices, and tools.
• Strong understanding of AWS and GCP services, networking, security, and best practices.
• 5+ years’ Experience with Terraform and their ability to apply resources into AWS.
• Min 3 years’ experience with containerization technologies such as Docker.
• Min 5 years’ support experience with Kubernetes, configuring the cluster, managing it, and maintaining it.
• Min 3 years’ experience with Helm and deployment of services to a Kubernetes cluster
• Min 3 years’ experience on creating and maintaining Jenkins CI/CD pipelines.
• Configuration management using tools like Ansible or Puppet.
• Ability to configure and maintain cloud API gateways.

• Responsible for day-to-day Operation and administration of network and security infrastructure.
• Experience in firewall, switches, routers, proxy, load balancers, NAC, Wireless, remote access (VPN)
• Knowledge in managing Alcatel switches, Aruba Wireless Controllers, Palo Alto firewall, Network Access
• Control, RSA, F5 VPN, Alteon Load Balancers.
• Knowledge in SDWAN and VxLAN
• Knowledge in Cloud infrastructure (AWS) will be an advantage.
• Experience in handling network projects.

Key Responsibilities

• Provide technical support for mobile device related issues during SIT testing
• Work with test automation teams to setup/support mobile test automation framework, CICD pipelines etc
• Point of contact to work with vendors on mobile device farm related issues
• Work with local and regional teams on mobile device and device farm administration (ie device/user onboarding, tracking, offboarding)
• Monitor device and farm license usage; Generate regular reports on demand, usage, incidents etc
• Ensure device tracker, mobile testing-related documentation is kept up to date

Qualifications and Skills Required

Bachelor’s Degree in computer engineering or related field.

Proven working experience in Test Engineering, or equivalent role with at least 5 to 7 years relevant experience in large and complex organisations preferably in the area of Banking and Finance

Proven experience with mobile device related testing

Good understanding of tools and device farms e.g. Tosca, Appium, InTune, Perfecto or equivalent mobile device farm

Good working knowledge in mobile testing and DevOps technologies: ie Java, Python, Appium, Jenkins, CI/CD, Perfecto

Experience in mobile device management (MDM) and use of mobile device farm are essential

Experience in working in multi-cultural, diverse, and remote virtual teams.

Excellent client facing, internal communications, written and verbal communication skills.

Experience in working with regional teams in ASEAN useful

Strong attention to details, excellent analytical and problem-solving skills

• Proficient in implementation, management and troubleshoot AWS Technologies, ECS, EKS.

• Proficient in Operating System such as AWS Linux, Red Hat Enterprise Linux.

• Maintain, Manage and Monitor Cloud Infrastructure

• Resolve IT infrastructure issues

• Proactive handling of project and supporting project implementation

• Create high-quality technical documentation

• Support out of hours work if schedule requires

• On-board new Cloud technologies, challenge existing implementation in a professional and constructive manner

• Engage in Cloud security activities

• Comply with ITSM/ITIL methodologies in day-to-day operations of IT Infrastructure Requirements:

• Resourceful and self-driven individual with sense of urgency and commitment

• Strong analytical and troubleshooting skills

• Ability to work effectively in a fast-paced implementation environment

• Strong analytical and troubleshooting skills.

• Ability to work effectively in a fast-paced implementation environment

• At least 3 year(s) of Cloud working experience or in the related field is required for this position

• Knowledge of Cloud security tools like Checkpoint, Security Hub, GuardDuty, AWS Detective.

Technical Skill

• Operating Systems: Red Hat, AWS Linux

• Build Tools/CI/Virtual/ : AWS DevOps, Jenkins

• Containers Environment: Docker, Kubernetes, ECS, EKS

• Cloud Technologies : Amazon Web Services

• Automation/Scripting Languages : Terraform, Ansible, Shell Scripting, Python

• Databases : MySQL

• Others: Ansible *

Key Responsibilities:

• Develop and design interactive reports, dashboards, and visualizations using Tableau software.
• Ensure data accuracy and consistency by working with databases, particularly Redshift, Hive & sqlserver, to extract and manipulate data.
• Write SQL queries to retrieve, transform, and aggregate data from databases, demonstrating medium proficiency in SQL.
• Collaborate effectively with cross-functional teams, including data analysts, data engineers, and business stakeholders.
• Act as a strong team player, contributing to a positive and collaborative work environment.
• Communicate effectively with technical and non-technical stakeholders, presenting complex information in a clear and understandable manner.
• Collaborate with business stakeholders to gather reporting requirements and translate them into actionable visualizations.

Requirements

• Bachelor’s Degree in Computer Science, Computer Engineering, or relevant field.
• Proven experience as a BI Engineer/Developer or similar role, with a strong portfolio showcasing your BI expertise.
• In-depth understanding of Tableau software, including advanced features such as LOD expressions and complex calculations.
• Demonstrated ability to write SQL queries for data retrieval, transformation, and aggregation.
• Strong analytical and problem-solving abilities, with a keen eye for details.

Role:

• Provide leadership in implementation, support and management of the Enterprise Monitoring tools to meet the business requirements of the Co
• Ensure all critical applications and services are properly covered within the monitoring and alerting systems in a manner consistent with the Co.s’ standards; collect the right metrics at the right frequency and ensure the data is readily available for effective alerting, reporting, and analysis.
• Collaborate with a cross-functional team of dev, ops, and architects to understand complex application architectures in order to implement an effective top-down monitoring strategy for holistic service visibility
• Troubleshoot and resolve complex issues with monitoring tools and ensure high availability
• Participate in strategy and future implementation discussions for the redesign and implementation of the monitoring environment to modernize with latest technology trends.

Requirement

• Bachelor’s degree in Computer Science or a related field. At least 10 years of IT experience of which at least 5 years’ experience in similar role, ideally in a financial institution.
• Experience with Application Monitoring Tool / Geneos / Prometheus.
• Experience with monitoring application's performance, availability and end-user experience to ensure the application is functioning properly in a large enterprise environment.
• Good understanding or experience in Openshift container platform is a plus.
• Strong interpersonal skills; good communication skills and strategic thinking
• Able to work independently on individual assignments, while collectively with a team on larger projects.
• Strong understanding of multi-tier application architectures and application runtime environments
• Familiarity with workflow management and ITSM tools such as Remedy or ServiceNow
• Good understanding of Agile (Scrum or Kanban) and implementation of same in real world along with exposure to associated tool sets (JIRA/Confluence).

Responsibilities:

• Design, develop, and operate data ingestion and integration pipelines to provide high quality datasets for analytical and machine learning use-cases
• Collaborate with other data engineers, analysts, data scientists, product specialists, and other stakeholders to build well-crafted, pragmatic, and elegant engineering solutions.
• Recommend and implement ways to improve data reliability, efficiency, and quality
• Manage existing runs and deployment of ML model pipelines.
• Work closely with Tech team to implement MLOps practices on AWS to facilitate seamless integration and deployment of machine learning models within our data pipelines.
• Acquiring, storing, governing, and processing large datasets of structured/unstructured data
• Collaborate with existing team to troubleshoot and resolve any issues that may arise during the migration process or in the production environment.
• Communicate with users, other technical teams, and management to collect requirements, identify tasks, provide estimates, and meet production deadlines
• Document migration process, data flows for future reference and knowledge sharing.

Requirements:

• At least 4 years of experience in data engineering with relevant experience in big data ecosystem
• A bachelor’s degree in computer science or equivalent
• Proficient in SQL, Python and Spark. Experience with streaming frameworks like Kafka, spark streaming is a plus.
• Proven experience with implementing MLOps practices on AWS. - Experience with Data Warehouses such as Redshift/ BigQuery/ Snowflake/ Hive / S3 - Experience on leveraging Dev Ops frameworks to orchestrate & monitor production deployments
• Jenkins, Git / AWS code build, AWS code deploy.
• Experience developing data pipelines leveraging AWS services like Glue/EMR , Lambda, Cloud Watch, Athena
• Intermediate level knowledge of Linux Commands and shell scripting.
• High-level understanding of Data-science model development and deployment process
• Proven record of design and implementing large scale data processing pipelines
• Passionate about technology and are always looking to upskill based on new developments in data engineering practice.
• AWS certifications will be a plus

Job Description:

• Creating rules set up by historically data analysis for accurate rules and robust Data Models and Design of DWH
• Creating Pipeline for data Ingestion, Data Cleansing, Data Processing, Data Loading, Transformations and Data Analysis
• Creating Continuous Integrated Jobs scheduled on Control M.
• All the predecessor and successor configured in the Control M Draft
• Capturing the influx of transactional data into MongoDB. Addressing at the intermediate junction of the Data Pipeline
• Technologies & Tools - Spark, Azure Stream Analytics, Azure Synapse Analytics, ADF, ADLS, HIVE, HDFS, KAFKA, Splunk, PowerBI, Abinitio, Excel, Zepplin, Hue
• Designed and Monitored Jobs maintaining CI/CD using AIRFLOW, JENKINS, DataDog and CONTROL M
• Expert in Data Engineering, Data Analysis & Integration, Database Upgrade, Database designing and Coding.
• Well versed in Data Warehousing Processes & Techniques like EDW, OLAP, SSAS, ROLAP, ODS, DM, EDL.