Job description

Define and implement the DevOps architecture and strategy to align with business objectives, improving software delivery speed, quality, and scalability. • Design scalable, resilient, and secure systems that leverage continuous integration (CI), continuous deployment (CD), and automated testing frameworks. • Create and maintain architecture blueprints that incorporate DevOps best practices and automation tools for both development and operational workflows. • Lead the design and implementation of CI/CD pipelines to automate the software development lifecycle (SDLC). • Integrate tools like Jenkins, GitLab CI, CircleCI, Azure DevOps, or others for automated build, test, and deployment processes. • Ensure seamless deployment workflows across on-premise, cloud, and hybrid environments, including staging and production. • Develop automated processes for managing cloud resources, including configuration management, server provisioning, and network setup. • Implement and maintain robust monitoring, logging, and alerting systems using tools such as Prometheus, Grafana, Splunk, or ELK Stack. • Ensure the performance, reliability, and security of DevOps environments by continuously assessing and optimizing both infrastructure and deployment pipelines. • Define key performance indicators (KPIs) for DevOps processes and lead the continuous improvement of operational efficiency. • Architect cloud-based and hybrid solutions to support agile development and continuous delivery with platforms like AWS, Azure, and Google Cloud. • Provide guidance on selecting and integrating cloud-native services for containerization, microservices, and orchestration (e.g., Develop and maintain comprehensive documentation for DevOps processes, pipelines, and automation scripts. Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field. • 7+ years of experience in IT architecture or engineering, with at least 3-5 years of hands-on experience in DevOps practices and tools. • Strong understanding of DevOps principles, including automation, CI/CD, and infrastructure management. • Expertise in CI/CD tools such as Jenkins, GitLab, Azure DevOps, or similar. • Strong experience with cloud platforms (AWS, Azure, GCP) and implementing DevOps solutions in cloud-native environments. • Familiarity with monitoring and logging tools such as Prometheus, Grafana, Splunk, or the ELK Stack. • Strong knowledge of scripting and programming languages like Python, Bash, Ruby, or Go. • Understanding of security principles and best practices in DevOps (e.g., Experience with microservices architecture and serverless computing. • Knowledge of cloud-native application design and deployment. • Familiarity with Agile and Scrum methodologies. • Exposure to AI/ML integration within DevOps pipelines. • Certifications such as Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer, or Microsoft Certified: Azure DevOps Engineer Expert are preferred.

Requirements