обновлено 6 часов назад
Senior DevSecOps Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior DevSecOps Engineer (AI): Building and securing cloud-native platforms that host critical AI and machine learning services with an accent on Kubernetes, CI/CD, GitOps, infrastructure as code, and regulated-environment compliance. Focus on leading a Cloud DevSecOps/SRE team, maintaining production ML/LLM services, and designing scalable, observable, and reliable platform architecture.
Location: Hybrid, with one day per week in the Warsaw office, Poland
Company
is a recruitment and consulting company providing project-based and permanent opportunities for clients in Poland and abroad.
What you will do
- Lead, mentor, and develop a Cloud DevSecOps/SRE team supporting AI, MLOps, and Data applications.
- Build and standardize CI/CD pipelines and GitOps processes using Jenkins, GitLab CI, and ArgoCD.
- Develop and manage Kubernetes environments with Anthos, OCP, Istio, and Helm.
- Expand the Terraform-based Infrastructure as Code platform for repeatable cloud provisioning.
- Maintain platform security, data access, compliance, observability, reliability, and scalability in a regulated banking environment.
- Collaborate with developers and architects to improve engineering processes and implement platform enhancements.
Requirements
- Proven experience as a technical leader in Cloud, DevSecOps, Platform Engineering, or SRE.
- Expert knowledge of Kubernetes architecture, networking, autoscaling, security, and cloud-native platforms.
- Hands-on expertise with CI/CD and GitOps, especially Jenkins, GitLab CI, and ArgoCD.
- Strong Linux and cloud experience; GCP is highly preferred.
- Experience maintaining ML/LLM models in production, including availability, latency, rollbacks, and versioning.
- Deep understanding of security, IAM, networking, compliance, observability, and long-term platform architecture.
Culture & Benefits
- Influence architecture, technical strategy, and DevSecOps/SRE standards.
- Work with GCP, Kubernetes, CI/CD, and GitOps in a modern cloud-native environment.
- Contribute to the development of banking MLOps, AI, and Data systems.
- Build and grow a dedicated platform engineering team.
- Collaborate with Data Science, MLOps, AI, Architecture, and Security specialists.
Hiring process
- Long-term B2B contract for 12+ months, signed directly with the IT outsourcing company.
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