Senior Technology Engineer - Data Science Platform (DSP)
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About the Role
We are looking for a Senior Technology Engineer to drive platform stability, automation, and operational excellence within the Data Science Platform (DSP).
Key Skills for This Role
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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.
Requirements
- **Key Responsibilities****Platform 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**
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