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

Senior Technology Engineer - Data Science Platform (DSP)