DevOps Engineer performing on-cloud applications at BASF. Collaborating with teams for enhancing system reliability and scalability through automated deployment practices.
Responsibilities
Perform DevOps Engineering on a cloud-based application developed by the in-house development team.
Design, implement, and manage automated deployment pipelines, ensuring continuous integration and delivery of high-quality software.
Collaborate closely with development and operations teams to enhance system performance, reliability, and scalability.
Participate in code reviews and provide feedback on infrastructure as code (IaC) practices.
Analyze system performance metrics, identify bottlenecks, and work closely with developers to resolve issues.
Maintain and enhance existing deployment frameworks.
Document deployment processes, configurations, and methodologies.
Requirements
Bachelor’s degree in Computer Science or a related field, or equivalent experience.
Minimum of 3 years of work experience as a Cloud Engineer or in a similar software engineering role.
Microsoft Azure Cloud Component operations experience, i.e. (Reverse) Proxies, VNETs, Databases, App Services, Container Apps.
Infrastructure Maintenance technology and process experience, i.e. Terraform.
Experience in the area of “Code Scanning”, i.e. SonarQube.
Solid understanding of Azure DevOps and the ability to communicate effectively with developers in order to be able to offer consulting services to those communities.
Above intermediate knowledge of Git, including git mirroring and managing merge conflicts.
Experience working in Agile teams, demonstrating adaptability and collaboration skills.
Strong problem-solving and analytical thinking skills.
Working as a team player, you must be open to completing other tasks and duties as assigned or that may arise from a complex, dynamic working environment.
Nice to have Azure DevOps Solutions Expert Certification.
Understanding of business requirements and the ability to create technical documentation.
Capability to present and explain work results within the team and to stakeholders.
Proficiency in scripting languages such as Bash and PowerShell.
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