What will you be doing? 

• Lead the design and implementation of our infrastructure and automation systems, focusing on database management and optimization. 

• Collaborate with developers and architects to design and implement new features and functionality, including database-related features. 

• Develop and maintain our build, test, and deployment automation systems, ensuring database systems are correctly integrated. 

1.     Monitor and troubleshoot production systems, including database systems, and resolve issues promptly. 

• Develop and maintain security and compliance standards for our infrastructure, including database security standards. 

• Work with the team to identify and implement best practices for DevOps processes, emphasizing database best practices. 

• Continuously improve our infrastructure and automation systems to improve scalability and performance, particularly concerning database performance. 

What will you bring to the team? 

• Strong analytical and problem-solving skills and attention to detail, mainly when dealing with databases. 

• Ability to multitask and remain calm and focused in a demanding environment. 

• Strong verbal and written communication skills – with strong presentation capabilities for technical leaders of the team. 

• Determined problem solver, comfortable writing technical specifications for other developers, and skilled at overseeing code quality and standards, including database code quality. 

What you need for success: 

• 7+ years of experience in a DevOps role, with significant experience in database management. 

• Strong knowledge of Linux and Windows operating systems. 

• Experience with cloud platforms like AWS, Azure, or Google Cloud, including their database services. 

• Strong knowledge of containerization technologies such as Docker and Kubernetes. 

• Strong knowledge of configuration management tools like Ansible, Terraform, or Puppet. 

• Experience with CI/CD tools like Jenkins, GitHub, or CircleCI. 

• Experience with monitoring and logging tools such as Prometheus, Grafana, or Elasticsearch and their application to database monitoring. 

• Experience working with remote teams is a plus. 

• Strong knowledge of SQL and NoSQL databases, database architecture, and complex database querying and optimization.