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DevOps Engineer with Google Cloud Platform (GCP)

On-site Full-time

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Experience Level

Mid to Senior

Qualifications

Your Skills & Qualifications:At least 3 years of professional experience in a DevOps or Cloud Engineering role. Strong proficiency with Google Cloud Platform (GCP) and its services, including Cloud Run, Google Kubernetes Engine (GKE), IAM, Cloud Storage, and cloud operations (endpoints, DNS, firewalls, subnets, etc.). Solid understanding of Infrastructure as Code tools, such as Terraform. Proficient in CI/CD workflows, preferably with GitLab CI. Strong grasp of containerization (Docker) and orchestration (Kubernetes). Competent in Python programming for rule development and automation scripting. Proactive in problem-solving and process automation. Experience working in an Agile team environment. Nice to Have:Familiarity with RAG Systems, LLM endpoint capabilities, and related technologies.

About the job

About the Role:
We are seeking a dynamic and skilled DevOps Engineer to join our innovative team, focusing on the operation and enhancement of our advanced text-recognition solution, which primarily facilitates communication with local authorities. This position merges both administrative and technical duties, concentrating on ensuring efficient operations, monitoring system performance, and implementing enhancements to boost application reliability and precision.

Your Responsibilities:

  • Manage, maintain, deploy, and monitor our AI-driven text recognition application hosted on Google Cloud Platform (GCP).
  • Enhance and optimize the application's cloud architecture and resource allocation for scalability, cost-efficiency, and reliability.
  • Automate monitoring, alerts, and incident resolution wherever possible.
  • Integrate and oversee partner system connections utilizing REST APIs and API Gateways.
  • Support the operation and maintenance of Large Language Model (LLM) endpoints hosted on Azure.
  • Track the technical performance of the AI model, including its statistical accuracy indicators and user feedback.
  • Create and refine Document Intelligence models within Microsoft Azure.
  • Facilitate operations by assisting Incident, Problem, and Change Management processes.
  • Continuously enhance the Monitoring and Alerting capabilities of the application.
  • Assist in resolving Service Desk Tickets from our internal customers.
  • Further develop and optimize simple rules in Python to enhance application output quality.
  • Deploy and manage use cases via GitLab pipelines.
  • Integrate services to enhance application functionality and improve API management.
  • Conduct administrative tasks such as user management and technical activities including network configuration, Infrastructure as Code (IaC) deployment, and service monitoring.

About T-Systems Iberia

At T-Systems, we are dedicated to pioneering projects that foster social and ecological well-being. We invite new talents to join us, bringing innovative ideas and diverse perspectives. Our culture embraces challenges and promotes continuous learning to make a significant impact on society while enjoying the journey!We prioritize meaningful work that advances society over where or when you work. To support your personal and professional growth, we offer a robust network, state-of-the-art technology, a modern work environment, and the autonomy to thrive. Join T-Systems, a global team of around 28,000 employees, and be a part of one of the leading providers of end-to-end integrated solutions, specializing in hybrid cloud solutions and artificial intelligence.

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