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# Senior Platform Engineer (Python)

- **Company:** Intellias
- **Location:** Slough, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Bash Shell, Linux, Distributed Systems, Github, Identity and Access Management, Python (Programming Language), Key Management, Ansible, Prometheus, Software Engineering, Data Logging, Cloud Platform System, Grafana, Gitlab-ci, Hardware Infrastructure, Terraform, Docker, Jenkins
- **Published:** September 15, 2026
- **Apply:** https://www.collegerecruiter.com/job/2879251501-senior-platform-engineer-python

## About the Role

* 5+ years of software engineering experience, with a strong focus on infrastructure or platform engineering.
 * Strong production-level Python, including testing, typing, packaging, and dependency management; Bash for scripting.
 * Solid Linux fundamentals and understanding of on-prem infrastructure, including networking, storage, and virtualization.
 * Hands-on experience with Terraform and Ansible.
 * Strong Docker and Kubernetes knowledge, including workload scheduling, configuration, and runtime resource access.
 * Experience building CI/CD pipelines with GitLab CI, GitHub Actions, Jenkins, or similar tools.
 * Experience with observability tools such as Prometheus, Grafana, and OpenTelemetry.
 * Good understanding of platform security: secrets management, IAM, network isolation, and dependency/supply-chain risks.
 * Strong troubleshooting skills and experience diagnosing complex distributed system issues.
 * Good communication and documentation skills; ability to collaborate with engineering and non-technical stakeholders.
 * English B2+.

Personal Skills

 * Adaptability and strong problem-solving mindset.
 * Ownership and attention to detail.
 * Clear communication and effective cross-team collaboration.
 * Ability to prioritize competing requests.
 * User-focused approach to building internal platforms.

## Description

internal infrastructure platform.

Work with engineering teams to identify recurring pain points and turn them into scalable platform features.

Automate manual infrastructure operations and build reliable self-service workflows.

Implement observability through metrics, structured logging, and alerting.

Own platform production issues from troubleshooting and root cause analysis to permanent resolution.

Manage and scale on-prem compute and storage infrastructure with performance and cost in mind.

Embed security best practices, including secrets management, least-privilege access, dependency hygiene, and auditability.


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