Sr. Technology Architect - OpenSource Tools, Automation & AI - UK, Germany, Netherlands

@@HD@@ Location - Germany, UK and Netherlands (Any location) Unit - CIS (Cloud and Infrastructure) @@/HD@@ @@HD@@ Job Description @@/HD@@

is responsible for designing and governing the enterprise-wide architecture for open-source platforms, automation frameworks, MLOps/AIOps capabilities, and developer-centric platform engineering.

,

,

,

, and

-ensuring the enterprise builds scalable, secure, cost-efficient, and future-ready digital platforms. The role partners with Engineering, Security, Data/AI, Cloud, and Operations teams to define platform roadmaps, standards, and reusable blueprints that enable consistent, automated, and AI-enhanced infrastructure delivery. • Extensive experience on Python • Experience in Flask, experience in other Python framework for developing API or Python application is advantageous • Experience ins frameworks like TensorFlow, PyTorch • Extensive experience in Python ML packages • Understanding of data structures, data modelling and data pipeline design in PySpark, Apache Airflow preferable • Experience in vector databases like Milvus, pgvector etc. • Deploying and using LLM • NOSQL DB - Cassandra, MongoDB etc. • Experience in integrating with Java based applications as well as front end application s • Object oriented and functional programming • Data visualization • Cloud and K8s • Git, CICD pipeline Excellent communication and articulation skills

• Define the

for enterprise OSS tools across CI/CD, IaC, GitOps, observability, secrets management, and security automation. • Govern the selection, lifecycle, and integration of OSS tools such as: • GitHub/GitLab, Jenkins, ArgoCD/Flux • Terraform/Pulumi, Ansible • Kubernetes (EKS/GKE/AKS/OpenShift) • Helm/Operators • Prometheus/Grafana, OpenTelemetry, ELK/OpenSearch • HashiCorp Vault, Keycloak, Backstage • Establish

, reusable blueprints, and platform engineering patterns for consistent delivery.

• Architect enterprise

and

operating models. • Implement

guardrails using OPA/Gatekeeper, Sentinel, or Conftest to enforce: • Security baselines • Compliance • Tagging/metadata • Cost controls • Build automation pipelines for configuration drift detection, compliance scanning, environment promotion, and end-to-end change validation.

• Architect enterprise observability platforms using OSS: • Prometheus/Grafana • OpenTelemetry (metrics, traces, logs) • Loki/Tempo/Jaeger • Define

for platform services. • Integrate chaos engineering, synthetic testing, and automated recovery workflows. • Enable full-stack visibility across hybrid cloud environments.

• Work with CxO stakeholders, product owners, platform teams, and security leaders to shape the OSS/automation/AI roadmap. • Translate technical designs into

and clear decision frameworks. • Mentor engineering teams and elevate platform engineering maturity across the organization.

• Expert-level understanding of OSS toolchains: GitHub/GitLab, Jenkins, Argo/Flux, Terraform, Ansible, Helm, Kubernetes. • Deep experience designing

and

.

• Ability to architect MLOps and AIOps pipelines using Kubeflow, MLflow, Ray, KServe, etc. • Understanding of GPU scheduling and AI workload performance.

• Strong grounding in Zero Trust, supply chain security, SBOMs, IAM, workload identity, policy-as-code.

• Strong experience creating enterprise blueprints, target architecture, and roadmap documentation. • Ability to influence at C-suite and engineering levels.

• OSS & automation

• Platform engineering

and developer portal models • MLOps & AIOps reference architectures • IaC and policy-as-code frameworks • SBOM, image-signing, and supply chain governance models • Observability design and SRE operational standards • Automation blueprints, pipelines, and runbooks •