Kubernetes Engineer

Oscar Associates (UK) Ltd
London, UK
9 days ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Compensation
£150,800.0 - £158,600.0
Working hours
Regular working hours
Job source

Tech stack

Continuous Delivery Data Stores PVCS Version Manager Redis Kubernetes

Job description

  • Set up and configure Kubernetes clusters for both test and platform production environments, ensuring consistency, scalability, and production readiness.
  • Deploy and configure Dragonfly (in-memory data store) within the Kubernetes platform.
  • Implement and configure Kyverno for Kubernetes policy management and governance.
  • Set up and configure ArgoCD to support GitOps-based continuous deployment across environments.
  • Configure Persistent Volume Claims (PVCs) against VAST storage in production, ensuring reliable and performant storage for stateful workloads.

Requirements

  • Proven hands-on experience setting up and managing Kubernetes clusters in both test and production environments.
  • Practical experience with Dragonfly or similar in-memory data store technologies (e.g. Redis).
  • Experience configuring Kyverno or comparable Kubernetes policy engines (e.g. OPA/Gatekeeper).

Benefits & conditions

Kubernetes Engineer £610p/day (Outside IR35) 6 months (initial), with potential for extension Kubernetes setup for test and platform production Kubernetes

Oscar Associates (UK) Limited is acting as an Employment Business in relation to this vacancy.

To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website. Reference: 57338444

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:39 min

Validating data queries and infrastructure security configurations

Philipp Krenn · World Congress 2023

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Demonstrating semantic routing thresholds with the Redis vector library

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Understanding Kubernetes architecture and core cluster components

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Decoupling user data with decentralized web nodes

Angie Jones Angie Jones · World Congress 2023

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Speaker background and open source Kubernetes edge computing projects

Gaurav Gahlot Gaurav Gahlot · World Congress 2026 Europe

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Comparing in-memory and Redis storage for cache scalability

Simone Sanfratello · World Congress 2022

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