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Senior DevOps & MLOps Automation Engineer

Bearingpointromania
CompanyBearingpointromania
CategoryEngineering
Location
Remote
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted3 Feb 2026
Last verified30 Jul 2026
SourceEmployer career page (teamtailor)
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Description
Our Consulting team at BearingPoint is dedicated to optimizing client business operations through advanced ERP and CRM systems. With deep expertise in SAP across various domains like finance, logistics, data, and technology, we streamline processes and enhance decision-making efficiency. Our proficiency in Salesforce helps us improve customer relationships with innovative strategies. We leverage data tools like PowerBI for insightful analytics and excel in Microsoft cloud technologies, particularly Azure, to provide secure and scalable solutions. Additionally, our team develops integrated mobile front-end and back-end applications, ensuring user-friendly mobile access to ERP and CRM systems.  BearingPoint's consulting services are designed to deliver tailored solutions that meet the unique needs of each client, driving growth and operational excellence. We pride ourselves on our client-centric approach, focusing on delivering measurable results and sustainable improvements.  Location: Bucharest, Sibiu, Cluj, Brasov, Timisoara and Iasi. Primary Functions and Tasks:   • Industrialize and automate all delivery processes, including CI/CD, MLOps, and operational workflows for RAG and agentic AI workloads on Azure. • Design, build, and maintain reliable CI/CD pipelines for both infrastructure and application development, including feature flags, blue‑green, and canary deployment strategies. • Manage Azure Kubernetes Service environments, focusing on containerization best practices, scaling policies, and high‑availability setups. • Implement end‑to‑end MLOps practices using Azure Machine Learning, covering model deployment, monitoring, and governance. • Securely manage secrets, keys, and configuration using Key Vault and Managed Identities. • Enable platform reliability, observability, and automation across the full AI application lifecycle. We are looking for:    • 5+ years of experience in DevOps or MLOps engineering, ideally within AI‑intensive product environments. • Strong hands‑on experience with Azure DevOps or GitHub Actions for CI/CD orchestration. • Solid expertise in Infrastructure as Code (Terraform preferred). • Proven experience running and scaling workloads on Azure Kubernetes Service (AKS). • Familiarity with Azure Machine Learning for model deployment, monitoring, and lifecycle management. • Strong understanding of secrets management, identity, and configuration management using Azure Key Vault and Managed Identities. • Demonstrated ability to build robust, automated pipelines and deployment strategies that support reliable, scalable AI applications. Offer:   Compensation package:  Our compensation package includes a fixed salary with yearly evaluation and performance-related bonus, meal tickets, Easter and Christmas gift vouchers, as well as seniority, referral bonus, and peer-to-peer recognition.   Health and Wellbeing:   Our benefits package includes extra paid vacation days, hybrid working model, quality private medical subscription for employee and their families, and gym options.   Professional growth:   A learning-oriented organization with customized training paths (a mix between technical, functional and soft skills, as well as German and French language courses), certifications, valuable e-learning solution and firm-wide development programs.     For more information, please visit:   www.bearingpoint.com   www.linkedin.com/company/bearingpoint   instagram.com/bearingpointromania   facebook.com/BearingPointRomania   About BearingPoint   BearingPoint is an independent management and technology consultancy with European roots and a global reach. We help businesses transform by combining deep industry expertise with strong capabilities in strategy, operations, and technology. Dedicated SAP and Microsoft transformation units, a strong focus on AI, and outcome-base
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