Senior Technology Engineer - Data Science Platform (DSP)
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Key skills for this role
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
Full Job Posting
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 And 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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