Te26p5 Lead Software Engineer

Cloud Engineer

Technical Skills Proficiency in Cloud Platforms: Expertise in major cloud platforms like AWS, Azure, and Google Cloud Platform. Understanding their core services such as computing, storage, and databases is crucial. Linux Fundamentals: Many cloud environments run on Linux, so having a solid understanding of Linux basics is essential. Networking and Virtualization: Knowledge of networking concepts and virtualization technologies is important for managing cloud infrastructure. Security and Compliance: Understanding cloud security best practices and compliance requirements is vital to protect data and applications. Automation and Infrastructure as Code (IaC): Skills in tools like Terraform, AWS CloudFormation, and Azure Resource Manager help automate the provisioning and management of cloud resources. Containerization and Orchestration: Familiarity with Docker and Kubernetes for container management and orchestration is highly valuable. DevOps Practices and CI/CD Pipelines: Implementing continuous integration and continuous deployment (CI/CD) pipelines is key for efficient software delivery. Programming and Scripting: Proficiency in languages like Python, Java, or Bash for scripting and automation tasks. Database Management: Understanding different database services and management techniques is important for handling data in the cloud. Monitoring, Logging, and Cost Optimization: Skills in monitoring and logging tools, as well as strategies for cost optimization, ensure efficient cloud operations. Ability to rationalize the cost of cloud resource usage: Skills in reviewing infrastructure and services used by applications or platforms to resize and upgrade to reduce cost of cloud footprint.

Soft Skills Problem-Solving: Ability to troubleshoot and resolve issues quickly and efficiently. Communication: Strong communication skills to collaborate with teams and explain technical concepts to non-technical stakeholders. Continuous Learning: The cloud landscape is constantly evolving, so a commitment to continuous learning and staying updated with the latest technologies is crucial. Project Management: Skills in managing projects, timelines, and resources effectively.

Position Accountabilities Minimum 5+ years of application development/cloud engineering experience required for this position. Implement and manage cloud solutions in AWS, with Azure experience as an added advantage. Take ownership of the provisioning of Cloud services and products. Develop and manage infrastructure automation focusing on scalability and security. Work closely with software and AI engineer teams to meet project acceptance criteria, document requirements, support continuous integration and delivery, and mentor junior staff members in cloud technologies and best practices. Design, develop, and manage dev, test, and production environments, ensuring robust software configuration management throughout the application development lifecycle. Extensive experience in implementing AWS EKS clusters, management and scaling of the clusters with a good knowledge of traffic in/outflows via subnet configurations and gateways. Linux experience is a plus. Develop and maintain CI/CD pipeline, ensuring smooth deployments and integrations using GitHub Actions, ArgoCD, and containerization strategies. Manage Kubernetes clusters within cloud environments, optimizing for performance and reliability. Utilize Terraform and other Infrastructure as Code tools to automate and manage cloud infrastructure. Work with serverless computing frameworks on AWS to enhance application scalability and efficiency. Work on Org Units, IAM roles to define efficient and cost-effective operating models for all publication assets. Collaborate with cross-functional teams in an Agile setting to provide architecture