Total 100 network engineer job vacancies in Singapore

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

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.

Develop and maintain software applications using C, C++, and Unix/Linux-based environments.

Write efficient, scalable, and well-documented code to optimize system performance.

Troubleshoot, debug, and resolve complex system and application issues.

Collaborate with cross-functional teams to design and implement new features.

Utilize shell scripting and other Unix utilities for automation and system management.

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.

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.

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

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 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

• 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)

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.

• Provides hands on technical expertise (SME) , senior level technical guidance to application team as necessary
• Assist and respond promptly to incident, investigate and provide temporary/permanent resolution to incidents escalated with respect to Middleware/ Operating system/ database performance, capacity, resiliency , stability, replication and other key aspects
• Researching and recommending solution that best meet business needs and enterprise operational requirements
• Provide technical support to application development teams
• Evaluate release of Middleware, Operating system, Database components and its tools to ensure entire environment is complaint with no/minimal impact

Qualifications

Understanding of protocols like HTTP/HTTPS/FTP/SFTP/AS2 etc

Programing experience in Java

Write Unix Shell & Bash Scripting

Familiarity with Linux operating system and commands

Capability to troubleshoot integration issues efficiently

• Minimum of 2years of experience in desktop application administration and support.

• Strong knowledge of GL OMS trading platforms and SGX applications.

• Familiarity with workflows involving SGX, SSH, and SFTP protocols.

• Proficiency in Level 1 network troubleshooting, including kiosk PC and network switch support.

• Monday to Friday (5-day workweek).

Covid-19 vaccination compliance is mandatory.

• Minimum of 2years of experience in desktop application administration and support.

• Strong knowledge of GL OMS trading platforms and SGX applications.

• Familiarity with workflows involving SGX, SSH, and SFTP protocols.

• Proficiency in Level 1 network troubleshooting, including kiosk PC and network switch support.

• Monday to Friday (5-day workweek).

Covid-19 vaccination compliance is mandatory.

We are seeking a dedicated and skilled Platform Engineer with expertise in Oracle Cloud Infrastructure (OCI), BMC, Control-M, Moody's Risk Analytics, and SQL. The ideal candidate will provide technical support and ensure the smooth operation of platforms in a 24x7 environment. This role involves proactive monitoring, incident resolution, and contributing to platform stability and performance.

• 3–6 years of experience in platform engineering, technical support, or related roles

• Proficiency in Oracle Cloud Infrastructure (OCI) and its components.

• Hands-on experience with BMC and Control-M for monitoring and scheduling tasks.

• Strong knowledge of Moody's Risk Analytics tools.

• Advanced SQL skills for query writing, optimization, and troubleshooting.

• Experience in providing 24x7 technical support for mission-critical platforms.

• Strong problem-solving skills to identify and resolve platform issues efficiently.

• Familiarity with ITIL processes and best practices for incident, problem, and change management.

• Detail-oriented and proactive approach to maintaining platform reliability.

• Ability to work in a fast-paced, rotational shift environment.

· Proficiency in Oracle Cloud Infrastructure (OCI) and its components.

· Strong knowledge of Moody's Risk Analytics tools.

· 3–6 years of experience in platform engineering, technical support, or related roles.

· Hands-on experience with BMC and Control-M for monitoring and scheduling tasks.

· Advanced SQL skills for query writing, optimization, and troubleshooting.

· Experience in providing 24x7 technical support for mission-critical platforms.

· Familiarity with ITIL processes and best practices for incident, problem, and change management.

· Detail-oriented and proactive approach to maintaining platform reliability.

Responsibilities and Duties

To coordinate in setting up Infrastructure and support Application Infra needs

Ensure Operating system, Middleware, Database performance ,Security /Bug fix patches , EOS and security (ISCD) compliance in accordance to the bank standards

Provides hands on technical expertise (SME) , senior level technical guidance to application team as necessary

Assist and respond promptly to incident, investigate and provide temporary/permanent resolution to incidents escalated with respect to Middleware/ Operating system/ database performance, capacity, resiliency , stability, replication and other key aspects

Researching and recommending solution that best meet business needs and enterprise operational requirements

Provide technical support to application development teams

Evaluate release of Middleware, Operating system, Database components and its tools to ensure entire environment is complaint with no/minimal impact

Knowledge in Kubernetes, Docker, Jenkins, DevOps, Other Container platforms

Knowledge in Linux OS, Wintel OS, MariaDB or Any Other databases

Knowledge in Networking (F5 GTM/LTM or any other SLB)

5 Years minimum professional experience and 3 Years minimum relevant experience

Experience in banking or financial services institutions preferred

Will need to work in shifts and in weekends

Team player to work with multiple teams and teammates

Kindly take note of the following details for shift work

Transport is claimable - before 7am (for morning shift 6am to 3pm) , after 11pm (afternoon shift 2pm to 11pm)

Shift Timing

a. Morning shift 6am to 3pm

b. General shift 9am to 6pm.

c. Afternoon shift 2pm to 11pm

d. Night shift 10pm to 7am.

Need to support including night shift, weekends and public holidays

To coordinate between Application and Infrastructure Teams to implement the Infra Requirements for Applications

Responsibilities and Duties

• To coordinate in setting up Infrastructure and support Application Infra needs
• Ensure Operating system, Middleware, Database performance ,Security /Bug fix patches , EOS and security (ISCD) compliance in accordance to the bank standards
• Provides hands on technical expertise (SME) , senior level technical guidance to application team as necessary
• Assist and respond promptly to incident, investigate and provide temporary/permanent resolution to incidents escalated with respect to Middleware/ Operating system/ database performance, capacity, resiliency , stability, replication and other key aspects
• Researching and recommending solution that best meet business needs and enterprise operational requirements
• Provide technical support to application development teams
• Evaluate release of Middleware, Operating system, Database components and its tools to ensure entire environment is complaint with no/minimal impact

Qualifications

• Knowledge in Kubernetes, Docker, Jenkins, DevOps, Other Container platforms
• Knowledge in Linux OS, Wintel OS, MariaDB or Any Other databases
• Knowledge in Networking (F5 GTM/LTM or any other SLB)
• 5 Years minimum professional experience and 3 Years minimum relevant experience
• Experience in banking or financial services institutions preferred
• Will need to work in shifts and in weekends
• Team player to work with multiple teams and teammates

Kindly take note of the following details for shift work

Transport is claimable - before 7am (for morning shift 6am to 3pm) , after 11pm (afternoon shift 2pm to 11pm)

Shift Timing

a. Morning shift 6am to 3pm

b. General shift 9am to 6pm.

c. Afternoon shift 2pm to 11pm

d. Night shift 10pm to 7am.

Need to support including night shift, weekends and public holidays

• Provide Level 2 support for AIX operating systems and related technologies, ensuring system stability and performance.
• Administer AIX servers, including installation, configuration, updates, and troubleshooting.
• Manage virtualization technologies such as PowerVM, SR-IOV, SEA, and VIOS.
• Implement and maintain high availability solutions using HACMP and monitor system performance.
• Ensure security compliance by applying best practices, patches, and conducting audits.

• Proven experience with IBM AIX system administration and virtualization (PowerVM, VIOS, LPARs).
• Strong knowledge of high availability (HACMP) and security measures for AIX systems.
• Familiarity with IBM Spectrum Scale (GPFS) and performance tuning tools.
• Excellent problem-solving, troubleshooting, and communication skills.
• Ability to work independently and collaboratively with client teams.

• Strong proficiency in C and C++ programming languages with a minimum of 1-2 years of experience.
• Experience in software design patterns, data structures, and algorithms.
• Familiarity with Linux/Unix operating systems and development environments.
• Ability to work with version control systems such as Git.
• Experience with multi-threaded programming and concurrent systems.
• Strong problem-solving skills and the ability to analyze complex software issues.
• Good understanding of network programming and protocols is a plus.
• Excellent communication and teamwork skills.

FRESH GRADUATES EAGER TO WORK WITH C AND C++ TECHNOLOGIES ARE ENCOURAGED TO APPLY.

• Manages and monitors all installed systems and infrastructure for the organization to be in line with company guidelines or SOP (standard operating procedure).
• Assists in the coordination of various teams testing and evaluating for the development of design and its implementation of the best output.
• Installs, configures, and tests operating systems, application software, and system management tools.
• Ensures the highest level of systems and infrastructure availability.
• Evaluates the existing systems and provides the technical direction.
• Plans and implements system automation as required for better efficiency.
• Deals with work process, optimization methods, and risk management tools in the given projects for the successful accomplishments according to the requirements of the stakeholders.
• To provide 24/7 onsite support including weekends & public holidays on a rotational basis.
• To ensure the Tech environment is up and running.

Requirements / Skills:

• Computer science degree
• Scripting and programming proficiency
• OS and Network experience
• Certification may be helpful
• Operating systems Linux, IBM AIX & Solaris
• Configuration Management Tools: Ansible and Puppet
• Monitoring tools: ELK, Prometheus, Grafana
• APM Tools:  Dynatrace & AppDynamics
• Cloud Platforms: AWS, Microsoft Skytap, Azure and GCP
• Scripting Languages:   SHELL BASH
• IaaC Tools: Terraform, Dockerfile
• Containerization:  Docker, PCF & Kubernetes.
• UNIX System Administration (RHEL, AIX & Solaris), Problem Determination and solving, and experience on GPFS, PowerHA System Mirror, and VIO.
• Experience in Observability and Monitoring including APM tools

We are looking for candidates who possess a robust understanding of RACF, rather than those primarily knowledgeable in MF application development. Our ideal candidate should demonstrate deep expertise in RACF and its related functionalities.

Responsibilities:

• Manage and drive z/OS Unix (Mainframe Access Management operations and audits).
• Lead the completion of z/OS initiatives such as MFA and straight through processing for IDM processing requests.
• Automate manual processes through scripting or via zSecure.Possess strong knowledge of designing and reviewing RACF access groupings.

Requirements

• Bachelor’s degree in IT or equivalent.
• A major in IT security or related areas would be an added advantage.
• Experienced in managing Mainframe security projects, operations and implementation.
• Minimum of 5 years of experience in Mainframe Security (RACF) administration/operations provided by z/OS UNIX system services (USS), CICS, DB2, and WebSphere MQ with hands-on regulatory compliance knowledge.
• Solid experience in mainframe security, RACF access controls, IBM zSecure, MFAGood to have strong experience with using zSecure Admin and zSecure Audit modules.
• Good working knowledge of Access Management lifecycle and processes.
• Experience in banking or financial services institutions preferred.

The suitable candidate will join a team of engineers and operations specialists in the support of enterprise privileged access management infrastructure and operations. He/She will be responsible for the end to end design, deployment, operations and development of the bank’s privileged access management framework, infrastructure and processes.

Key responsibilities

Drive the automation and integration of privileged access management infrastructure to other systems to achieve straight through processing and reduce manual work.

Provide on-going operations support including management reporting and operations dashboards relating to the governance oversight of privileged accounts and passwords.

5+ Years of CyberArk Experience: Demonstrated expertise in the deployment, configuration, management, and support of CyberArk infrastructure components. Proven ability to provide regional support and integrate CyberArk solutions via APIs. CyberArk certifications are preferred to validate knowledge and skills.

Scripting and Reporting: Proficient in writing PowerShell scripts and SQL statements to develop comprehensive management reports focused on the usage and operational management of privileged accounts. This includes automating reporting processes and ensuring accurate data presentation for stakeholders.

Data Visualization: Experienced with Grafana for creating data visualizations and dashboards, enabling real-time insights into access management and security posture. Skilled at translating complex data sets into understandable visual formats for better decision-making.

Privileged Access Management: Strong understanding of enterprise privileged access management principles, encompassing risk management, compliance, governance, and control. Ability to develop and enforce policies that mitigate risks associated with privileged access.

Audit Experience: Extensive experience in responding to audit queries and preparing detailed reports related to access management. Skilled in analyzing audit findings and implementing corrective actions to address compliance gaps. Proven ability to collaborate with internal and external auditors to ensure all necessary documentation is accurate and readily available.

Remediation Expertise: Extensive experience in remediating CyberArk failed objects to ensure that auto-managed objects comply with security policies and standards. This includes troubleshooting and resolving issues to maintain operational integrity and compliance.

Technical Platform Knowledge: In-depth knowledge of key operating systems and databases, including Windows, Unix, MSSQL, and MariaDB. Previous experience in administering these platforms enhances ability to manage and secure privileged accounts effectively.

Banking Environment Experience: Familiarity with working in a banking or financial services environment, understanding the unique regulatory and security requirements involved. This background supports effective implementation of access management solutions tailored to industry standards.

Educational Background: Bachelor’s degree in Computer Science, Information Systems, or Engineering (or a related field). Alternatively, a combination of relevant professional experience and CyberArk certifications is also acceptable, demonstrating a solid foundation in security practices.

We are looking for candidates who possess a robust understanding of RACF, rather than those primarily knowledgeable in MF application development. Our ideal candidate should demonstrate deep expertise in RACF and its related functionalities.

Responsibilities:

Manage and drive z/OS Unix (Mainframe Access Management operations and audits).

Lead the completion of z/OS initiatives such as MFA and straight through processing for IDM processing requests.

Automate manual processes through scripting or via zSecure.

Possess strong knowledge of designing and reviewing RACF access groupings.

Bachelor’s degree in IT or equivalent. A major in IT security or related areas would be an added advantage.

Experienced in managing Mainframe security projects, operations and implementation

Minimum of 5 years of experience in Mainframe Security (RACF) administration/operations provided by z/OS UNIX system services (USS), CICS, DB2, and WebSphere MQ with hands-on regulatory compliance knowledge.

Solid experience in mainframe security, RACF access controls, IBM zSecure, MFA

Good to have strong experience with using zSecure Admin and zSecure Audit modules.

Good working knowledge of Access Management lifecycle and processes.

Experience in banking or financial services institutions preferred

Manages and monitors all installed systems and infrastructure for the organization to be in line with company guidelines or SOP (standard operating procedure).

Assists in the coordination of various teams testing and evaluating for the development of design and its implementation of the best output.

Installs, configures, and tests operating systems, application software, and system management tools.

Ensures the highest level of systems and infrastructure availability.

Evaluates the existing systems and provides the technical direction.

Plans and implements system automation as required for better efficiency.

Deals with work process, optimization methods, and risk management tools in the given projects for the successful accomplishments according to the requirements of the stakeholders.

Computer science degree

Scripting and programming proficiency

OS and Network experience

Certification may be helpful

Operating systems Linux, IBM AIX & Solaris

Configuration Management Tools: Ansible and Puppet

Monitoring tools: ELK, Prometheus, Grafana

APM Tools:  Dynatrace & AppDynamics

Cloud Platforms: AWS, Microsoft Skytap, Azure and GCP

Scripting Languages:   SHELL BASH

IaaC Tools: Terraform, Dockerfile

Containerization:  Docker, PCF & Kubernetes.

UNIX System Administration (RHEL, AIX & Solaris), Problem Determination and solving, and experience on GPFS, PowerHA System Mirror, and VIO.

Experience in Observability and Monitoring including APM tools

Responsibilities:

• Design, implement, and maintain scalable, reliable, and secure infrastructure.
• Develop and manage monitoring, alerting, and incident response processes.
• Automate tasks using Python or Golang, as well as Bash or Shell scripting, to streamline operations and reduce manual intervention.
• Conduct root cause analysis and implement proactive measures to minimize future incidents.
• Collaborate with cross-functional teams to ensure infrastructure stability and efficiency.
• Participate in on-call rotations and manage incident escalations to ensure prompt response to issues.
• Proven track record in a Site Reliability Engineering role, with deep knowledge of SRE principles and practices.
• Proficiency in either Python or Golang for automation and tool development.
• Strong experience with Bash or Shell scripting for task automation.
• Extensive experience with Linux OS, including troubleshooting, performance tuning, and system administration.
• Problem Solving: Strong analytical and troubleshooting skills with the ability to resolve complex technical issues.