Total 17 job vacancies by Unison Consulting Pte. Ltd.

• 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.

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.

• At least 5 years IT experience as Level 1 Production Operations engineer.
• Strong analytical skills: The ability to analyse production processes and identify areas for improvement and optimisation.
• Technical Proficiency: Profound knowledge of production systems issues and effective solutions to enhance operation efficiency.
• Problem-Solving Aptitude: A knack for troubleshooting production issues and devising effective solutions to enhance operational efficiency.
• Experience in Data Centre facilities, including temperature and humidity monitoring system, smoke detection and fire suppression systems, Uninterrupted Power Supply (UPS) units, CCTC, keypress units, etc.
• Familiarity with AWS tools such as CloudWatch, Cloud Trail, etc would be an advantage.
• Able to work shift duties.

The shift hours are as follow:

▪ 1st shift - 7:00 am to 3:00 pm

▪ 2nd shift - 2:45 pm to 10:30 pm

▪ 3rd shift - 10:15 pm to 07:15 am

o The 8-day rotational shift pattern is as below:

▪ Two days 1st shift, followed by

▪ Two days 2nd shift, followed by

▪ Two days 3rd shift, followed by

▪ Two off days.

Key Responsibilities

• Continuous Service Improvement: Add value to Data Centre Operations by identifying improvement opportunities to sharpen Production stability, stakeholders experience and overall service quality.
• Identifying opportunities for automation within production processes to streamline operations and reduce manual intervention.
• Timely escalation and communication of major incidents such as escalation matrix, leading, driving, facilitating, and chairing all investigation activities.
• Being accountable for resolving the incident with workaround or permanent solution.
• Participate in troubleshooting system and network connectivity problems before escalation.
• Monitoring production metrics and performance indicators to ensure targets are met.
• Ensuring compliance with safety and regulatory standards in production.
• Other ad-hoc duties as instructed.

Description

• Application Development: Design, develop, and maintain full-stack applications using Java, with a focus on integrating Hadoop and Big Data technologies.
• UI Development: Create responsive and user-friendly interfaces using modern web technologies, ensuring seamless user experiences.
• Data Management: Utilize Hadoop and related technologies to process and analyse large datasets, optimizing for performance and scalability.
• Agile Collaboration: Participate in Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives, to foster a collaborative team environment.
• Production Support: Provide ongoing production support, troubleshooting issues, and implementing fixes to ensure high availability and performance of applications.
• Code Quality: Write clean, maintainable, and well-documented code. Conduct code reviews and ensure adherence to best practices.
• Testing: Develop and execute unit tests and integration tests to ensure application reliability and performance.
• Continuous Improvement: Stay current with industry trends and emerging technologies, continuously seeking ways to enhance application performance and user experience.

Requirements

• 5+ years of experience in full stack development, with a strong focus on Java and Big Data technologies.
• Proficiency in Java and related frameworks (e.g., Spring, Hibernate).
• Experience with Hadoop ecosystem components (e.g., HDFS, MapReduce, Hive, Spark).
• Strong skills in front-end technologies (HTML, CSS, JavaScript, and frameworks like React or Angular).
• Familiarity with databases (SQL and NoSQL).
• Experience working in Agile environments and understanding of Agile principles.

• Analyse the Authority’s data needs and document the requirements.

• Refine data collection/consumption by migrating data collection to more efficient channels.

• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.

• Develop test plan and scripts for system testing, support user acceptance testing.

• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.

• Ensure the smooth operations and service level of IT solutions.

• Support production issues.

• Good understanding and completion of projects using waterfall/Agile methodology.

• Hands-on experience in DevOps deployment and data virtualisation tools like Denodo will be preferred.

• Understanding of reporting or visualization tool like SAP BO and Tableau is important.

• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.

• Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica.

• Strong SQL and data modelling and data analysis skills.

• Good understanding of analytics and data warehouse implementations.

• Ability to troubleshoot complex issues ranging from system resource to application stack traces.

• Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be an added advantage.

Job Summary:

We are looking for a strong DevOps candidate to join our DevOps team which manages our DevSecOps infrastructure and works with application teams to automate software deployments. Other than BAU work, the team also works on projects to enhance, optimize and transform the infrastructure.

Key Responsibilities:

• Coding and developing new DevOps scripts automation with CI/CD pipelines through Jenkins, Cloudbees, Bitbucket, etc

• Supporting and maintaining full stack DevOps toolsets. (Jira, Confluence, Bitbucket, Cloudbees, Jenkins, SonarQube, Nexus IQ, Fortify )

• Able to code, script, automate, innovate full DevOps automation capabilities to enhance and elevate automation from manual human tasks

• Always able to find ways to automate, develop scripts, innovate new ideas to reduce human work and repetitive tasks.

• Deep knowledge on DevOps tools API automation capabilities.

• Troubleshoot, deep dive RCA and fix DevOps platform issues.

• Supporting DevOps toolsets running on AWS, container clusters and Kubernetes.

What we are looking for:

• Deep experience as a DevOps or DevSecOps practitioner in a critical Production environment

• Deep technical experience in server-side Unix/Linux/PowerShell scripting

• Prior working experience installing, configuring, integrating, upgrading and patching CI/CD toolset

• Prior experience is customizing JIRA and Setting up confluence spaces.

• Passionate about cloud infrastructure, CI/CD pipelines and automation

• Ability to easily pick up new technologies: you are keen to learn and to expand your knowledge

• Customer centricity: you always go above and beyond to deliver a first-class service to your users

• Highly proficient with Linux Systems Administration and network fundamentals (IPv4, TCP, UDP, DNS, HTTP, TLS, routing, load-balancing)

• Proficient with AWS VPC, EC2, IAM, S3, EKS, EFS

• Proficient with ELK, Grafana and Ansible

• Proficient with Terraform, Docker/containers and Kubernetes

As an ML Engineer, your pivotal role involves operationalizing ML Models developed by Client 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.

Technical Skills

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.
Knowledge of cloud platforms (e.g. AWS, GCP) would be an advantage.

• Supporting a range of Cyber Security tools including Exabeam, CarbonBlack, Tripwire, CyberArk, TrendMicro AV, Splunk, DAM, Tenable and RSA.

• Managing designated vendors for the specified Security tools.

• Driving the scheduling of security-related projects and remediation timelines.

• Maintaining, troubleshooting, patching, and updating various security tools and scanners used in MAS.

• Recommending process re-engineering and streamlining to enhance workflows and efficiencies.

• Delivering management reporting and dashboarding to stakeholders, including data and trend analysis, and recommending next steps.

• Following up on remediation actions, security and risk assessments with respective stakeholders and applications teams.

• Conducting daily health check and validating system availability through various monitoring/checks.

• Implementing of the service requests, change requests and support of incident management.

• Fine tuning of rules, updating of contents packs to suit the different use cases in

• Experience in Market Risk, leading a high-performance team and large-scale high-impact projects on Market Risk, Counterparty Credit Risk, Risk Analytics for risk analysis, monitoring, and reporting.
• Building financial models, pricing derivatives, automating reports, and building trusting relationships with stakeholders including Traders, Risk, IT, Compliance & Audit
• Solid knowledge of Capital Markets products (e.g., Fixed Income, FX, Derivatives, Futures, Swaps), Market Risk methodologies and regulations (e.g., Value-at-Risk, Stress Testing, Back Testing, Basel II, FRTB)
• Proficient at Excel Macro, SQL, Python, MATLAB, STATA, Tableau, Bloomberg, Capital IQ, PowerPoint, Unix Bash
• Monitored daily market risk for Global Fixed Incomes Credit, Equity Derivatives and Prime Services; enhanced daily market risk reports and regulatory reports by using Excel, VBA, Tableau and Python
• Managed the projects by collaborating with IT and Data team and enhanced operation process by conducting reconciliations and automating procedures using Python & Unix Bash script to deliver timely risk reporting.
• Prepared FRTB Quantitative Impact Study (QIS) reports and presentations for Executives and chaired meetings by understanding expectations, creating project plans, and making recommendations for potential issues.
• Mentored and coached junior staff and held career development sessions to inspire/motivate high performances.

Responsibilities:

1. Support Production system of LifeAsia and Integral Group

 2. Program enhancements/developments related to Life Asia and/or group 400 system

 3. Able to interact and coordinate efficiently with other IT Sections and within Core Application Team itself

 4. Liaise with Web Application Team on Front-end applications on inter-related projects

 5. Perform system analysis, design and system unit/integration testing

 6. Prepare/update Technical Specifications and end user system job instructions documents

 7. Liaise with external parties pertaining to system collaboration and system testing

 8. Observe, maintain and comply with the KPIs, work instructions, guidelines, security controls, audit controls and governance set

 9. Ensure quality deliverables, documentation and reporting for work assigned and performed

 10. Sound experience in Life Insurance industry

 11. At least 5 years hands-on coding experience in SMART 400 on AS400

 12. Knowledge of both Life-400 and Group-400 will be an added advantage

We are presently seeking candidate for the position of Platform Engineer. This role is to engage in various projects and impact assessments related to the data transformations for Finance Technology Systems.

Key Responsibilities:

* Attending impact assessment sessions, and actively participate in reviews with the subject matter experts in Finance Technology.

* Perform impact analysis on the existing system functionalities with respect to the new proposed changes.

* Discuss with requestors to gather and ascertain requirements

* Development/SIT Testing/ UAT Support/Implementation

* Work with users on the requirements/clarifications and attending to UAT queries

* Help to prepare the FS documents and walkthrough the functional specifications with requestors

* Assisting the Stream Lead in the delivery of the project and on the coordination with various stakeholders.

* Step in as a Technical Delivery Manager to manage the end to end delivery of the assignment, when demanded.

* Delver the project / tasks within the committed timelines.

* Maintain the risks and issues tracker and see them to closure.

Key Requirements:

* 2+ years relevant experience in Informatica Power Center (ETL) - (Designer, Repository Manager, Workflow Manager), ETL tools, Oracle 19c (SQL*Plus, PL/SQL) and strong Data Analytical skills

* Strong on DW Fundamentals, concepts

* Understands and review technical requirements, designs ETL process flow and walkthroughs and performs data profiling of required source systems.

* Excellent understanding of various relational database design concepts.

* Extensive experience in Data Modeling & Architecture.

* Experience full lifecycle data warehouse development.

* Strong experience in Data Migration and Data Quality initiatives.

* Error handling and Performance Improvements.

* Conduct and participate in design and code walkthroughs.

* Good hands on capability - can independently develop good quality deliverable and guide/mentor junior team members effectively.

* Experience in Unix Shell Scripting (AIX/SUN/Intel Xeon Linux)

* Experience with Job scheduling tools like Control-M

* Provide ongoing maintenance support for applications and 24/7 stand-by support required.

Responsibilities:

• Develop and maintain Java-based applications.

• Collaborate with team members to design and implement software solutions.

• Troubleshoot and debug Java applications.

• Utilize strong SQL Server knowledge for database management and integration.

• Stay updated with industry best practices and technologies.

Responsibilities

• Support Production system of LifeAsia and Integral Group

• Program enhancements/developments related to Life Asia and/or group 400 system

• Able to interact and coordinate efficiently with other IT Sections and within Core Application Team itself

• Liaise with Web Application Team on Front-end applications on inter-related projects

• Perform system analysis, design and system unit/integration testing

• Prepare/update Technical Specifications and end user system job instructions documents

• Liaise with external parties pertaining to system collaboration and system testing

• Observe, maintain and comply with the KPIs, work instructions, guidelines, security controls, audit controls and governance set

• Ensure quality deliverables, documentation and reporting for work assigned and performed

• Sound experience in Life Insurance industry

• At least 5 years hands-on coding experience in SMART 400 on AS400

• Knowledge of both Life-400 and Group-400 will be an added advantage

• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.

• Visualise, interpret, and report data findings and may create dynamic data reports as well.

• Build and optimizing ‘big data’ data pipelines, architectures and data sets.

• Performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

• To support and develop Data modeling, Data mapping activities.

• Strong analytic skills related to working with unstructured datasets.

Requirements:

• Experience with Data engineering tools (Python, Spark (Scala or Python), Hadoop) or relational databases (oracle, MySQL, MS Sql) or NoSQL databases, including Postgres and Cassandra.

• Experience with data pipeline and workflow management tools.

• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, R, etc

• Bachelor’s degree in IT or Computer Science or Equivalent experience.

Description:

• Hardware Skill – Desktop, Laptop, Printer and Scanner

• Windows OS (Experience in Windows 10 will be an advantage)

• Good to have healthcare environment experience.

Requirements:

• 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.

• Printer Maintenance.

• Take on and resolve complex calls or tasks the other engineers could not resolve.

• Responsible for learning and working independently.

• Responsible for providing excellent support and timely service.