Deployment Engineer- MY (Big Data / Hadoop Admin)

Tookitaki Holding PTE LTD; Kuala Lumpur; On-site; MYR 120,000 - 160,000; Full time

Job summary

A tech-driven solution provider is seeking a Deployment Engineer in Kuala Lumpur to oversee the deployment of their FinCense platform for banking clients. Responsibilities include system installation, configuration, and integration. Candidates should have a Bachelor's degree in IT, 6+ years of experience in deployment, and strong knowledge of big data technologies like Hadoop and Kubernetes. This position involves collaboration with internal teams and direct client engagement to ensure successful deployments.

Qualifications

• Bachelor’s in Computer Science or IT required.
• 6+ years in system deployment or IT infrastructure roles necessary.
• Expertise in deploying SaaS or big data systems for financial sectors needed.

Responsibilities

• Deploy the FinCense platform in on-premise and cloud environments.
• Ensure system integration and configuration align with client needs.
• Conduct end-to-end tests to validate deployment success.

Skills

Problem-solving

Communication

Scripting

Technical Acumen

Education

Bachelor's degree in Computer Science, IT

Tools

AWS

Hadoop

Kubernetes

Docker

Job description

Position Overview

Job Title: Deployment Engineer | Department: Services Delivery | Reporting To: Regional Head of Service Delivery

The Deployment Engineer is a critical technical role within Tookitaki’s Services Delivery team. This position is responsible for deploying Tookitaki’s FinCense platform across both on-premise and cloud-hosted (CaaS) environments. The role requires a strong understanding of infrastructure, system integrations, and big data technologies to ensure successful deployments for banking and fintech clients.

Position Purpose

The Deployment Engineer ensures smooth and efficient deployment of Tookitaki’s FinCense platform by working closely with internal teams and client stakeholders. This includes end-to-end deployment, configuration, and initial troubleshooting, ensuring the platform is fully functional and integrated into the client’s infrastructure.

This role is critical for achieving a seamless transition during the implementation phase, setting the foundation for client success.

Key Responsibilities

• Deployment of FinCense Platform

  • On-Premise Deployment: Install and configure the entire FinCense platform on the client’s infrastructure, ensuring full integration with the client’s existing systems and databases, and conducting rigorous testing to validate deployment success.

  • CaaS Deployment: Install and configure client tenants on Tookitaki’s cloud-hosted infrastructure (AWS/GCP), ensuring scalability and seamless operation within Tookitaki’s hosted cloud environment.

• System Configuration and Integration

  • Configure system settings, APIs, and data pipelines to meet client-specific requirements.

  • Collaborate with Data Engineers to integrate client data into the platform.

  • Optimize system performance to ensure stability and scalability.

• Client Collaboration and Support

  • Work closely with the Client Enablement team to gather deployment requirements and ensure alignment with client needs.

  • Provide technical guidance to client teams during the deployment phase.

  • Act as the primary technical point of contact for all deployment-related queries.

• Post-Deployment Validation

  • Conduct end-to-end system tests to validate the platform’s performance and functionality.

  • Resolve any deployment issues and ensure the platform meets agreed-upon SLAs.

  • Document deployment processes and configurations for future reference.

• Collaboration with Cross-Functional Teams

  • Work closely with Product Management and Engineering teams to address technical challenges during deployment.

  • Provide feedback on deployment experiences to improve product features and deployment efficiency.

  • Support the Client Enablement and Support teams during the handover process.

Qualifications and Skills

Education

• Required: Bachelor’s degree in Computer Science, IT, or a related technical field.

• Preferred: Master’s degree in IT, Cloud Computing, or Big Data Analytics.

Experience

• Minimum: 6 years of experience in system deployment, cloud computing, or IT infrastructure roles.

• Proven expertise in deploying SaaS platforms or big data systems for financial or regulated industries.

Technical Expertise

• Big Data Technologies: Strong knowledge of Hadoop, Spark, Hive, Kubernetes, and Docker.

• Cloud Infrastructure: Hands-on experience with AWS (preferred) or GCP, including EC2, S3, and VPC configurations.

• System Integration: Proficient in integrating systems via APIs, connectors, and middleware solutions.

• Scripting and Automation: Proficiency in scripting languages such as Python, Bash, or PowerShell.

Soft Skills

• Excellent problem-solving and troubleshooting skills.

• Strong communication skills to interact with technical and non-technical stakeholders.

• Ability to manage multiple deployments simultaneously while meeting deadlines.

Preferred

• Certifications in AWS, Kubernetes, or Big Data technologies.

• Experience with AML and fraud detection systems is a strong plus.

Key Competencies

• Client-Centric Approach: Focused on delivering high-quality deployments tailored to client needs.

• Technical Acumen: Expertise in big data and cloud technologies to ensure flawless deployments.

• Collaboration: Works effectively with cross-functional teams to ensure deployment success.

• Ownership: Takes full responsibility for deployment activities and outcomes.

• Adaptability: Thrives in dynamic environments with changing requirements.

Success Metrics

1. Deployment Accuracy

• 100% of deployments completed successfully without post-deployment issues.

Timeliness

• Deployments delivered within agreed timelines for both on-premise and CaaS clients.

System Performance

• Achieve target SLAs for platform performance and stability post-deployment.

Client Satisfaction

• Positive feedback from clients on deployment experience and system functionality.

Knowledge Sharing

• Maintain and share deployment documentation to improve team efficiency.