Deployment Engineer- MY (Big Data / Hadoop Admin)

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.

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.

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.

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.

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

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.

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