Platform Engineer (SAAS)

Telford
2 days ago
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Environment & Configuration Engineer (SAS Platform)SC Cleared | Inside IR35 | £530-£550/day | 2 Days Onsite (Telford)
OverviewWe are seeking an experienced Environment & Configuration Engineer to join the Minerva Platform Release Management team, supporting a major programme to consolidate RSDD TXR002 and ADE APIs into a unified central calculation service.This position plays a critical role in enabling secure, scalable, high‑performing SAS analytic environments across development, test, and production, while supporting ongoing modernisation, including SAS Viya migrations and containerised deployments.This is an excellent opportunity for a SAS platform specialist with strong configuration, environment management, and DevOps integration experience.
Key Responsibilities

Design, configure, and maintain SAS environments (SAS 9.4, SAS Viya 3.5 & Viya 4).
Support the migration of legacy SAS platforms to SAS Viya 4, including containerisation and Kubernetes-based orchestration.
Manage configuration objects, service data, and translation objects across SAS platforms.
Integrate SAS systems with Oracle, GitLab CI/CD, and Microsoft 365 services.
Monitor and optimise platform performance to ensure stability, availability, and adherence to security standards.
Provide technical guidance and troubleshooting support to developers and analytics users.
Automate environment provisioning, data transfers, and platform operations using enterprise‑approved patterns.
Contribute to documentation, best practice development, and community knowledge sharing.Essential Skills & Experience

Strong hands-on experience with:
SAS Enterprise Guide (EG)
SAS Data Integration Studio (DI)
SAS Studio
SAS Viya 3.5 / 4 (configuration, migration, Kubernetes deployment)
SAS Visual Analytics (VA) / Visual Investigator (VI)
Oracle integration and data pipeline support.
Configuration and environment management across multi‑tier platforms.
Good understanding of testing lifecycles and automated testing integration.
Ability to work collaboratively with data engineering, DevOps, and platform teams.Desirable

Experience with AWS or Azure, containerisation (Docker, Kubernetes).
Familiarity with GitLab CI/CD, Infrastructure‑as‑Code, and automated deployment pipelines.
Knowledge of Airflow or other scheduling tools.
Strong communication and documentation skills.

What you need to do now

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