•         Bachelor’s degree in Computer Science, Software Engineering, or a related field; Master’s degree preferred.

•         8+ years of experience in DevOps engineering including at least 1 year of leadership experience.

•         Expert knowledge of version control systems, such as Git, and CI/CD tools like Jenkins.

•         Proficient with Git CLI, Git branching and merging strategies, release management, and merge conflict resolution.

•         Proven expertise in languages like PowerShell, Groovy, and Python.

•         Proficiency in using Infrastructure as Code tools beyond Terraform, such as AWS CloudFormation or Azure Resource Manager templates.

•         Experience with repository management tools such as Nexus and JFrog for managing and organizing software artifacts.

•         Experience with monitoring and logging tools such as New Relic and Sentry.

•         Solid understanding of networking concepts, including TCP/IP, DNS, load balancers, and firewalls (CloudFlare).

•         Experience in implementing SAST and SCA tools such as SonarQube and MEND in the deployment pipeline.

•         Experience supporting databases or datastores such as SQL Server and Redis.

•         Experience with cloud infrastructure such as AWS and Azure, must have prior experience with Amazon S3 and serverless computing platforms like AWS Lambda or Azure Functions.

•         Experience with containerization technologies such as Docker and orchestration tools like Kubernetes for deploying, scaling, and managing containerized applications.

•         Proficiency in managing and optimizing Elastic Search deployments to ensure efficient and scalable search functionalities within the infrastructure.

•         Experience with project management and workflow tools such as Agile and Jira.

•         Knowledge of security best practices and the ability to implement security controls at the infrastructure level plus compliance with relevant standards (e.g., SOC 2, HIPAA). 

•         Strong understanding of software development methodologies, agile practices, and the software development lifecycle.