Sovereign Engineering Platform SRE (m/f/d)

Devopsroles; La Coruña; Hybrid; EUR 85,000 - 120,000; Full time

Benefits offered by this job

Health insurance

Meal vouchers

Childcare

Transport

Telemedicine

Life and accident insurance

Social fund

Job summary

T-Systems Iberia seeks a seasoned Platform Engineer to design and run scalable Kubernetes environments for AI tooling and SDLC workloads. You will implement GitOps, IaC, and robust observability, coordinating with software, security, and architecture teams to maintain secure, auditable systems.

The role demands 5+ years in SRE/DevOps with hands-on Terraform, Ansible, Helm, and scripting, plus strong networking and security fundamentals.

Qualifications

• 5+ years in SRE, platform engineering, DevOps, cloud infra, or similar roles.
• Proven experience building production-grade platforms with GitOps and IaC.
• Hands-on Terraform, Ansible, Helm, and scripting (Python or shell).
• Strong understanding of networking, storage, secrets, access control, monitoring.
• Experience supporting AI-enabled workloads with data governance and security.

Responsibilities

• Build and operate Kubernetes environments hosting AI engineering tools and workflows.
• Implement GitOps and IaC patterns for provisioning, upgrades, and DR readiness.
• Manage registries, mirrors, secrets, identity, networking, storage, backups and access models.
• Provide observability with metrics, logs, traces, and runbooks for engineers.
• Collaborate with software, security, and architecture teams to ensure compliant AI SDLC.

Skills

Kubernetes

Linux

Terraform

Ansible

Helm

Python

CI/CD

Private registries

Security

Networking

Tools

GitLab Runners

Jenkins

ArgoCD

Crossplane

Terraform

Job description

T‑Systems is part of the Deutsche Telekom Group, with around 30.000 employees worldwide. We create technology with purpose to generate a positive impact on society. We are looking for curious talent, eager to learn, take on challenges, and contribute ideas that transform our customers’ experience.

We trust people: we offer autonomy, continuous support, and a collaborative environment where you can grow without limits. We are one global team, guided by respect, integrity, and a passion for doing better every day.

Key responsibilities

• Build andoperateKubernetes environments that host AI engineering tools, internal model gateways, retrieval components, workflow services, CI/CD runners, and documentation services.
• ImplementGitOpsand 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 CPUutilization, 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.

Examples of market tools, models, and platform components expected

• Platform tooling such as Kubernetes, Helm, Terraform, Ansible,ArgoCD,Crossplane, GitLab runners, Jenkins agents, private registries, and internal package mirrors.
• AI platform components such asvLLM,Ollama, OpenAI-compatible gateways,Qdrantor similar vector stores, OpenWebUI, Continue-compatible endpoints, and workflow services.
• Observability and operations stacks such as Prometheus, Grafana, Loki,OpenTelemetry, ELK/OpenSearch,Alertmanager, SRE runbooks, and incident management tooling.
• Security and governance components such as Vault,Keycloak, network policies, RBAC, admission controls, image scanning, SBOM tooling, and audit logging.
• Infrastructure awareness covering GPU-backed nodes, CPU-only fallback, storage performance, network isolation, proxy patterns,on-premiseenvironments, and dedicated landing zones.

• 5+ years in SRE, platform engineering, DevOps, cloud infrastructure, or operations roles with strong Kubernetes and Linuxexpertise.
• Proven experience building and operating production-grade engineering platforms withGitOps, 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.

Whatdoweofferyou?

Workenvironment&flexibility

• International,dynamicandcollaborativeenvironment.
• T‑Social: socialinitiatives(sports,community,health, ...).
• Hybridworkmodel(remote/on‑site).
• Flexibleworkinghours.

Growth&development

• Customizedtraining:accesstoCourseratolearnwhateveryouwant,wheneveryouwant.
• Weeklylanguageclasses(English & German).
• InternationalMentoringSessions&ExperienceDays.

Compensation&benefits

• Flexiblecompensationplan (healthinsurance,mealvouchers,childcare,transport).
• Telemedicine.
• Lifeandaccidentinsurance.
• Socialfund.

Wellbeing& time off

• 26+workingdaysofvacationperyear.
• Freeaccesstospecialistservices(medical, legal,wellness).
• 100%salarycoverageduringmedicalleave.

And many more advantages of being part of T‑Systems! T-Systems Iberia will only process the CVs of candidates who meet the requirements specified for each offer.