Devops Engineer at inetum2 – Bucharest | Jobyssey

Design, build, and maintain a secure and scalable cloud platform for Python applications, APIs, and data processing solutions.
Operate and continuously improve containerized runtime infrastructure.
Manage infrastructure provisioning and configuration using Infrastructure-as-Code and Configuration-as-Code practices.
Ensure platform reliability, availability, resilience, and recoverability.
Support platform upgrades, patching, technology lifecycle management, and capacity planning activities.
Design, implement, and maintain enterprise-grade CI/CD pipelines.
Manage deployment processes across UAT and Production environments.
Execute deployments for Python applications, APIs, data pipelines, and low-code solutions.
Maintain deployment standards, release procedures, rollback mechanisms, and technical documentation.
Support the deployment and operational management of Kedro-based data pipelines and related services.
Operate and maintain application runtime environments.
Ensure data processing services meet performance, availability, and operational SLAs.
Enforce security-by-design principles throughout the deployment lifecycle.
Manage secrets, credentials, certificates, runtime configurations, and secure access mechanisms.
Ensure proper implementation and maintenance of OAuth2 authentication and authorization mechanisms.
Lead vulnerability management, security patching, remediation activities, and compliance reporting.
Participate in audits, risk assessments, security reviews, and operational control validations.
Enforce governance standards and segregation of duties across development, deployment, and production operations.
Design and maintain monitoring, logging, alerting, and observability solutions.
Monitor production environments proactively and resolve deployment, infrastructure, integration, and runtime issues.
Collaborate with Developers, Data Scientists, BI teams, Security, and Infrastructure teams.
Provide technical guidance on deployment architectures, operational best practices, and automation strategies.
Drive continuous improvements in platform capabilities, scalability, reliability, security, and developer experience.

Strong scripting and automation skills using Python and Bash.
Experience with CI/CD tools such as GitHub Actions and ArgoCD.
Hands-on experience with Infrastructure as Code using Terraform.
Knowledge of observability tools including ELK, Grafana, Prometheus, and OpenTelemetry.
Expertise in containerization and virtualization technologies such as Kubernetes, Docker, and Virtual Machines.
Experience with orchestration and scheduling frameworks such as Airflow.
Familiarity with AI-related tools including MLflow and OpenAI.
Nice to have: Knowledge of Agentic AI, Generative AI, and AI Copilot solutions.
Excellent communication and collaboration skills.
Strong problem-solving abilities and the ability to work independently.
Team-oriented mindset with experience working in Agile environments.
Strong organizational and planning skills.
Ability to work effectively across teams and stakeholders.
High sense of confidentiality and data protection.
Ability to provide regular reporting and updates to management.
Strong willingness to learn and develop within the DevOps and Data Engineering domains.
Professional proficiency in English.

Full access to foreign language learning platform
Personalized access to tech learning platforms
Tailored workshops and training to sustain your growth
Medical insurance
Meal tickets
Monthly budget to allocate on flexible benefit platform
Access to 7 Card services
Wellbeing activities and gatherings

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