Cloud DevOps Engineer

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Описание

About Us Innovate. Create. Elevate. At Vertis, we believe innovation starts with people. We design and deliver exceptional digital solutions that elevate our clients' brands and the experiences they create for their customers. Through technology-driven creativity, we enable meaningful business transformation. Our team is made up of capable, confident, and motivated individuals who collaborate, challenge ideas, and grow together. About the job The DevOps Engineer will be responsible for designing, implementing, and managing cloud infrastructures on AWS and Azure platforms. The role focuses on CI/CD pipeline development, cloud security, and managing scalable, efficient cloud environments to support development and production operations. Key Responsibilities Basic understanding of cloud networking, virtual private clouds, firewalls, API/Application gateways. Design and implement scalable infrastructure on AWS and Azure. Manage and optimize cloud resources for performance, security, and cost-efficiency. Automate cloud deployments using Infrastructure as Code (IaC) tools such as Terraform or Azure ARM templates. Develop and manage CI/CD pipelines using Azure DevOps, Jenkins, or GitLab CI/CD. Implement Docker and Kubernetes (EKS/AKS) for containerization and orchestration. Enable seamless deployments across staging, testing, and production environments. NET and/or Java apps. Manage configurations and secrets across environments. Understanding of GitFlow and general development workflows. Support development teams with deployments and operations. Lead cloud migration projects from on-premise to AWS/Azure, ensuring data integrity and minimal downtime. Apply security best practices for IAM roles, data encryption, and network security. Conduct vulnerability assessments and implement remediation plans. Setup and configure SIEM, WAF and DDoS protection solutions. Set up monitoring and alerting using CloudWatch, Azure Monitor, or Datadog. Manage incident response and disaster recovery plans to ensure business continuity. Regularly perform cost analysis and recommend optimization strategies. Requirement and Qualification Bachelor’s degree in Computer Science, Information Technology, or a related field. Minimum 5 years of relevant experience with both AWS and Azure cloud platforms (optionally Google Cloud Platform), including proficiency in core DevOps practices. Must be able to independently start a greenfield project and build cloud infrastructure without supervision. Strong experience with both AWS and Azure cloud platforms. Proficiency in CI/CD tools (Azure DevOps, Jenkins, GitLab CI/CD, Bitbucket Pipelines). Hands-on experience with Kubernetes, Docker, and container orchestration. Knowledge of Infrastructure as Code (IaC) tools (Terraform, CloudFormation, ARM templates). Experience with monitoring and security tools (CloudWatch, Azure Monitor, Datadog, New Relic and Application Insights). Scripting skills (PowerShell, Bash, Python) for automation. Certifications (Preferred) AWS Certified DevOps Engineer – Professional Microsoft Certified: Azure DevOps Engineer Expert Certified Kubernetes Administrator (CKA) Benefits Competitive compensation Medical & Dental benefits International and multicultural working environment Training and development opportunities Career growth in a fast-growing organisation Birthday Leave Our Hiring Process After submitting your application, our Talent Acquisition team will review your profile. If your skills and experience align with the role, we will get in touch to discuss the next steps. Please be cautious of recruitment fraud and only engage with communications from our official team using email addresses that end with [handle]. digital. Vertis is proud to be an Equal Opportunity Employer. We believe that diversity of thought, background, and experience drives innovation and success. That is why we are committed to building and nurturing a team that reflects a wide range of perspectives, abilities, identities, and experiences. At Vertis, every voice matters, and together, we achieve more. We appreciate all applications. However, only shortlisted candidates will be contacted. Thank you for your interest in Vertis. The use of artificial intelligence tools, including language models such as ChatGPT, during the interview process is strictly prohibited and will result in the disqualification of your application

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