DevOps Engineer

O projekcie: For a global pharmaceutical company with a well-established market position, focused on advancing software solutions in a rapidly evolving industry we're looking for the Senior DevOps Engineer. This specialist will play a key role in designing and maintaining cloud infrastructure (AWS), CI/CD pipelines, and containerized environments (Docker, Kubernetes) to support scalable and reliable applications. The organization develops innovative, data-driven solutions that support scientific research, laboratory operations, and patient care, often leveraging modern data platforms such as Snowflake. This is an opportunity to work at the intersection of healthcare, science, and technology, contributing to high-impact systems in a collaborative and quality-driven environment. Wymagania: - Over 4 years experience in supporting infrastructure and networking as a DevOps - Strong hands-on experience with AWS cloud services and Infrastructure as Code (Terraform, Ansible). - Proven experience with containerization and orchestration technologies (Docker, Kubernetes). - Experience building and maintaining CI/CD pipelines using GitLab and/or GitHub. - Solid understanding of monitoring, logging, and observability tools (Grafana, Kibana). - Good understanding of Linux systems, networking concepts, and security best practices. Nice to have: - Experience working with data platforms or cloud data warehouses (e.g., Snowflake). - Familiarity with event-driven architectures or streaming tools (e.g., Kafka). - Exposure to DevSecOps practices and compliance in regulated environments (e.g., GxP). - Experience with multi-cloud environments or hybrid architectures. - Knowledge of scripting languages (e.g., Python, Bash). - Experience supporting AI/ML or data-intensive applications. Codzienne zadania: - Design, implement, and maintain scalable and secure cloud infrastructure on AWS using Infrastructure as Code tools such as Terraform and Ansible. - Build, optimize, and manage CI/CD pipelines using GitLab and/or GitHub to enable efficient and reliable software delivery. - Deploy, manage, and monitor containerized applications using Docker and Kubernetes in production environments. - Ensure system reliability, availability, and performance by implementing monitoring and observability solutions (e.g., Grafana, Kibana). - Collaborate with development, data, and platform teams to streamline deployment processes and improve developer experience. - Support data platform operations, including integration and optimization of data workflows and environments (e.g., Snowflake).