Senior DevOps Engineer at Deutsche Telekom Group

Bucharest, , Romania -

Full Time

Start Date

Immediate

Expiry Date

16 Feb, 26

Salary

0.0

Posted On

18 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

DevOps, Cloud Computing, Kubernetes, Terraform, CI/CD, Docker, Python, Monitoring, Observability, GitLab, Autoscaling, Networking, Unix/Linux, Data Science, Machine Learning, Security

Industry

Telecommunications

Description

As a Senior DevOps Engineer , you will work as part of a dedicated DevOps team designing, maintaining, and enhancing cloud-native infrastructure that supports data science workloads. You’ll collaborate with multiple development teams with deploying and maintaining time-series forecasting and generative AI applications. The role focuses on building reliable, secure, and observable platform in GCP using Kubernetes, IaC, and automated CI/CD pipelines. Which challenges you can expect · Working in a distributed DevOps team across multiple locations using agile practices · Supporting the design and operation of core infrastructure on GCP for data science and Python-based ML/AI workloads · Maintaining and improving Kubernetes environments with Helm and ArgoCD · Developing and reviewing Terraform modules and cloud configurations · Managing GitLab CI/CD pipelines across applications, infrastructure, and ML projects · Implementing and optimizing autoscaling strategies for workloads and clusters · Ensuring robust observability across monitoring, logging, and tracing using Grafana, Prometheus, Loki, and Tempo · Troubleshooting issues across cloud, container, networking, and application layers · Enhancing platform reliability, cost efficiency, and developer experience · Educating developers and data scientists on best practices and relevant parts of the technology stack Expected experience and skills · Fluent English; German is a plus · Minimum 4 years of professional experience in DevOps or related roles · Bachelor’s degree in Computer Science, Information Technology, or a related field · Strong expertise with at least one major cloud provider (GCP preferred; AWS/Azure acceptable) · Extensive experience with Docker, Kubernetes, Helm charts, and container-based production systems · Understanding basic security concepts and helping to identify and mitigate common vulnerabilities · Solid hands-on proficiency with Terraform and GitOps tools such as ArgoCD · Strong experience building and maintaining CI/CD pipelines, ideally with GitLab CI · Proficiency in Unix/Linux administration, shell scripting, and practical networking fundamentals · Experience with monitoring and observability solutions (Grafana stack; ELK also relevant) · Familiarity with autoscaling concepts (HPA/VPA, cluster autoscaler) · Experience with relational and document databases, such as PostgreSQL and MongoDB, is a plus · Experience with OpenTelemetry instrumentation is a plus DTSE-RO is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decision at DTSE-RO are based on business needs, job requirements and individual qualifications, with no regard to race, color, religion or belief, national, social or ethnic origin, sex, age, physical, mental or sensory disability, sexual orientation and gender identity. DTSE-RO will not tolerate discrimination or harassment based on any of these characteristics. By applying for this job you accept the DT privacy statement: To process your online application we collect, process and use your personal data. We will treat your data as strictly confidential in accordance statutory provisions. By submitting your application, you consent to your data being processed electronically, including by third parties. Data is only passed on to HR service providers that have been carefully selected by Deutsche Telekom AG. For detailed information read the local data protection when applying for a job position at Deutsche Telekom Group. #LI-Hybrid

Responsibilities

As a Senior DevOps Engineer, you will design, maintain, and enhance cloud-native infrastructure for data science workloads. You will collaborate with development teams to deploy and maintain applications focused on time-series forecasting and generative AI.