Senior Technology Engineer - Data Science Platform (DSP) at GSSTech Group

Dubai, Dubai, United Arab Emirates -

Full Time

Start Date

Immediate

Expiry Date

23 Jun, 26

Salary

0.0

Posted On

25 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

OpenShift, Kubernetes, AWS, Azure, GCP, Terraform, Ansible, Jenkins, GitOps, CI/CD, DevOps, Python, Bash, Shell, Prometheus, Grafana

Industry

IT Services and IT Consulting

Description

Role Overview We are looking for a Senior Technology Engineer to drive platform stability, automation, and operational excellence within the Data Science Platform (DSP). This is not a support role — this is a hands-on engineering role where you own automation, orchestration, and reliability across a hybrid cloud ecosystem (OpenShift + AWS/Azure/GCP). You will be the backbone of DSP operations — if things break, scale poorly, or require manual intervention, that’s your problem to eliminate permanently. Key ResponsibilitiesPlatform Engineering & Operations Own end-to-end technical operations of DSP infrastructure Ensure high availability, performance, and scalability of platform services Monitor system health, troubleshoot issues, and implement permanent fixes (not patchwork) Automation & Orchestration Design and implement automation frameworks to eliminate manual processes Build CI/CD pipelines and automate deployment workflows Drive infrastructure-as-code (IaC) adoption using tools like Terraform/Ansible Container & Cloud Platform Management Manage and optimize OpenShift / Kubernetes environments Work across multi-cloud (AWS, Azure, GCP) infrastructure Ensure efficient resource utilization and cost optimisation MLOps / Data Platform Support Enable smooth ML model deployment and lifecycle management Support tools like OpenShift AI, SageMaker, or similar platforms Ensure reproducibility and reliability of data science workflows Monitoring & Reliability Implement monitoring using Prometheus, Grafana, ELK stack Define SLAs, SLOs, and ensure platform meets reliability standards Drive proactive incident prevention (not reactive firefighting) Collaboration & Governance Work closely with Data Scientists, DevOps, and Platform teams Ensure adherence to security, compliance, and governance standards Act as a technical SME for DSP operations Mandatory Skills (Non-Negotiable) Strong experience in OpenShift / Kubernetes Hands-on experience in multi-cloud environments (AWS/Azure/GCP) Expertise in automation (Terraform, Ansible, Jenkins, GitOps) Strong knowledge of CI/CD pipelines and DevOps practices Experience in Python or scripting (Bash/Shell) Experience with monitoring tools (Prometheus, Grafana, ELK) Good to Have Experience in MLOps / AI platforms (OpenShift AI, SageMaker, Bedrock) Exposure to LLM deployment / inference platforms (vLLM, Triton, etc.) Knowledge of data pipelines and big data ecosystems Banking or financial services experience Experience Required 6–10 years of relevant experience in Platform Engineering / DevOps / Cloud Engineering Proven experience managing enterprise-scale platforms

Responsibilities

The Senior Technology Engineer will own end-to-end technical operations for the Data Science Platform (DSP) infrastructure, focusing on high availability, performance, and scalability through proactive monitoring and permanent fixes. This role involves designing and implementing automation frameworks, building CI/CD pipelines, and driving Infrastructure-as-Code adoption to eliminate manual processes.