• Automate infrastructure provisioning using tools like Terraform in AWS (EC2, ASGs, S3, IAM, Route53, etc.) • Configure applications using Ansible, Kubernetes templates, or similar tools • Build and manage CI/CD pipelines using Azure DevOps, TeamCity, Octopus Deploy, or equivalent • Develop and document automated solutions to streamline deployment and monitoring processes • Monitor system performance and availability using tools like SumoLogic , AWS CloudWatch, and Datadog • Troubleshoot and resolve infrastructure and application issues across development, staging, and production environments • Maintain system documentation and participate in disaster recovery planning and testing • Participate in an on-call rotation and respond to critical incidents as needed

• Design, implement, and maintain scalable, secure, and reliable CI/CD pipelines • Manage and optimize cloud infrastructure (e.g., AWS, Azure) and container orchestration (e.g., Kubernetes) • Drive automation across infrastructure and development workflows • Build and maintain monitoring, alerting, and logging systems to ensure reliability and observability • Collaborate with Engineering, QA, and Security teams to deliver high-performing, compliant solutions • Troubleshoot complex system issues in staging and production environments • Guide and mentor junior engineers and contribute to DevOps best practices

• Keeping systems and services running smoothly with minimal downtime by focusing on availability, reliability, and scalability • Developing and maintaining tools and scripts to automate repetitive tasks such as deployments, configuration management, and monitoring • Implementing and managing monitoring and alerting systems to provide visibility into system performance and quickly detect potential issues • Responding to, diagnosing, and resolving system incidents, including conducting post-mortems to prevent future occurrences • Monitoring system resource usage to forecast future needs and scale systems accordingly to handle increasing user load • Collaborating with stakeholders to identify operational risks and implementing strategies to reduce their likelihood and impact • Analyzing metrics from operating systems and applications to identify areas for performance improvement