DevOps Engineer – GCP ML Platform & Terraform

Wipro Technologies

Greater London

On-site

GBP 90,000 - 115,000

Full time

3 days ago
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Benefits offered by this job

Full training
Career development
Collaborative team environment
Pension
Holiday
Flexible working

Job summary

Wipro is seeking a Programme Manager in London to lead agile engineering efforts within our Lab. You will build scalable Python-based software, automate delivery pipelines, and help shape our ML cloud platform on GCP.

The role involves collaborating with Data Science teams to productionise models and exploring new tools and approaches to drive the bank’s machine intelligence strategy. You will coach engineers, drive architecture decisions, and contribute to strategic directions while benefiting

Qualifications

  • Technical knowledge of DevOps tooling, including continuous integration tooling pipelines and containerisation.

Responsibilities

  • Practice scrum in a small engineering team within our Lab.
  • Build scalable software using Python.
  • Automate software and infrastructure delivery with Terraform, Python, Jenkins, Harness, and Cloud Build.
  • Build and improve an ML cloud platform on GCP.
  • Gain exposure to native Google tooling including GKE, BigQuery, Vertex AI, Cloud Build, and more.
  • Build, test, and deploy customised Workbench Instances.
  • Support Data Science teams to productionise their models on GCP.
  • Innovate by discovering new tools, methods, and approaches.
  • Use your knowledge and experience to help shape our overarching strategy.
  • Coach other engineers and steer the design of our software.

Skills

DevOps tooling
CI pipelines
Containerisation
Google Cloud Platform
Vertex AI
GKE
BigQuery
Cloud Build
Harness
Terraform
Python
Relationship building

Tools

Terraform
Python
GKE
BigQuery
Vertex AI
Cloud Build
Harness

Job description

Wipro is seeking a Programme Manager in London to lead agile engineering efforts within our Lab. You will build scalable Python-based software, automate delivery pipelines, and help shape our ML cloud platform on GCP.

The role involves collaborating with Data Science teams to productionise models and exploring new tools and approaches to drive the bank’s machine intelligence strategy. You will coach engineers, drive architecture decisions, and contribute to strategic directions while benefiting

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