Key Responsibilities: 

Automation and Scripting: 

Design and implement automation for continuous integration, delivery, and deployment. 

Develop and maintain automated deployment scripts and tooling to ensure reliable software releases on Azure. 

Be proficient in writing YAML, ARM, and Bicep templates for deploying Infrastructure as code 

Azure Services Management: 

Configure and manage Azure services, including virtual machines, containers, databases, networking, and monitoring solutions. 

Optimize the performance, scalability, and cost efficiency of Azure resources. 

Security and Compliance: 

Ensure adherence to security and compliance requirements on Azure such as Azure Policy. 

Implement security controls, secrets management, encryption, access management, and audit trails to protect sensitive data. 

Deployment Strategies: 

Collaborate with the development team to define deployment strategies, create release pipelines, and execute deployments. 

Collaborate with development teams to resolve build and release errors. 

Collaboration and Support: 

Work closely with development, Quality Assurance, and App Support teams to identify and address operational issues. 

Act as a bridge between different teams to foster collaboration and efficiency. 

Project Support: 

Provide technical assistance for pipeline failures, deployment errors, and disaster recovery incidents. 

Support application teams throughout the migration and post-migration phases. 

Kubernetes expertise: 

Design, deploy, and maintain production Kubernetes clusters, ensuring high availability, scalability, and security. The ideal candidate has proven hands-on experience with container orchestration, cloud infrastructure, and CI/CD pipelines. 

Demonstrate experience with monitoring and logging, cloud and Kubernetes networking configuration and troubleshooting, and resource management. 

SQL experience: 

Be able to run basic queries, know how to interpret a stored procedure. 

Understand database resiliency design features such as replication and geo-redundancy. 

DataDog/App Insights Experience 

Understand how to read and interpret system performance metrics, identify performance issues (patterns), and troubleshooting monitors. 

Be able to build and manage monitors as systems evolve. 

Qualifications: 

• Proven experience in DevOps engineering, particularly with Azure environments. 

• Hands-on experience deploying and troubleshooting Kubernetes clusters in production environments, ideally supported by a recognized certification such as the Certified Kubernetes Administrator (CKA) 

• Hands-on experience with HELM for Kubernetes application packaging and deployment. 

• Strong understanding of HELM chart structure, templating, and lifecycle management. 

• Ability to troubleshoot and resolve issues related to HELM deployments and Kubernetes workloads. 

• Proficiency in basic SQL scripting 

• Proficiency in PowerShell scripting 

• Strong skills in automation and scripting for CI/CD processes. 

• Proficiency in YAML, ARM, and Bicep template creation and management. 

• Experience with Azure services management and optimization. 

• Proficiency in implementing monitoring and alerting solutions. 

• Knowledge of security and compliance practices on Azure. 

• Ability to manage competing priorities and deadlines. 

• Proficiency with Generative AI and prompt engineering.  

• Excellent collaboration and communication skills.