SRE Platform Engineer: AI-Driven Kubernetes & GitOps Remote

SmartRecruiters, Inc.; Granada; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Hybrid work model

Flexible hours

Language courses

Mentoring programs

Health insurance

Meal vouchers

Childcare support

Transport allowance

26+ vacation days

Job summary

T‑Systems in Spain is seeking an experienced SRE/platform engineer to build and operate scalable AI engineering platforms on Kubernetes. You will implement GitOps and IaC practices, manage private registries, and ensure secure, observable systems across the stack.

Join a global team driving secure, sovereign data handling while delivering reliable, auditable operations in a hybrid work environment with strong focus on collaboration and continuous improvement.

Qualifications

• 5+ years of experience in SRE, platform engineering, DevOps, cloud infrastructure, or operations roles with strong Kubernetes and Linux expertise.
• Proven experience building and operating production-grade engineering platforms with GitOps, Infrastructure as Code, observability, and operational runbooks.
• Hands-on skills in Terraform, Ansible, Helm, Python or shell scripting, CI/CD runners, private registries, and secure configuration management.
• Good understanding of networking, storage, secrets, access control, monitoring, backup, disaster recovery, and operational hardening in high-security environments.
• Comfortable supporting AI-enabled engineering workloads in sovereignty-driven contexts where isolation, controlled data handling, reliability, and auditability are mandatory.

Responsibilities

• Build and operate Kubernetes environments that host AI engineering tools, internal model gateways, retrieval components, workflow services, CI/CD runners, and documentation services.
• Implement GitOps and Infrastructure as Code patterns for reproducible provisioning, configuration, policy enforcement, platform upgrades, and disaster recovery readiness.
• Manage private registries, package mirrors, secrets, identity integration, network segmentation, storage classes, backup routines, and controlled connectivity models.
• Provide observability for engineering workloads, including metrics, logs, traces, GPU and CPU utilization, service health, cost signals, and operational runbooks.
• Work with software, security, and architecture teams to ensure the platform supports AI-assisted SDLC workflows without creating uncontrolled data exposure or audit gaps.

Skills

SRE experience

Kubernetes

Linux

Platform engineering

DevOps

Cloud infrastructure

Operations

Tools

Terraform

Ansible

Helm

Python

Shell scripting

CI/CD runners

Private registries

Secure configuration management

Job description

T‑Systems in Spain is seeking an experienced SRE/platform engineer to build and operate scalable AI engineering platforms on Kubernetes. You will implement GitOps and IaC practices, manage private registries, and ensure secure, observable systems across the stack.

Join a global team driving secure, sovereign data handling while delivering reliable, auditable operations in a hybrid work environment with strong focus on collaboration and continuous improvement.