Application Support Engineer

Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems.

JD for GKE Technical Skills: Cloud Expertise: Extensive knowledge of cloud, preferably GCP, Cloud Storage, Cloud Networking, and other GCP services. GKE / Kubernetes: Proficient in managing Kubernetes (GKE or other cloud solution like EKS) clusters, deploying applications, and troubleshooting Kubernetes-related issues. Containerization: Hands-on experience with Docker and other containerization technologies. Container Orchestration: Expertise in managing container orchestration using Kubernetes. Networking: Strong skills in cloud networking, including configuring virtual networks, managing interconnectivity, and optimizing network performance. Infrastructure as Code (IaC): Familiarity with infrastructure as code concepts and tools, particularly Terraform, for automating infrastructure deployment and management. CI/CD: Experience with Continuous Integration and Continuous Delivery (CI/CD) pipelines and tools like Jenkins, GitLab CI/CD, and Google Cloud Build. Version Control: Proficient with Git and GitHub. Scripting and Programming: Skilled in scripting languages such as Python, Bash, and Groovy for automation and problem-solving. Operating Systems: Strong understanding of Linux and other operating systems. Monitoring and Logging: Ability to implement and manage monitoring and logging solutions using tools such as Cloud Monitoring, Prometheus, Grafana, and Cloud Logging. Security: Knowledge of security best practices for cloud and Kubernetes environments, including Identity and Access Management (IAM), network security, and data protection. Database Skills: Experience with database configuration and maintenance. Ability to understand SQL queries. Service Mesh: Experience implementing service mesh infrastructure on Kubernetes using tools like Istio. Configuration Management: Familiarity with configuration management tools such as Chef and Ansible. Data Pipelines: Familiarity with deploying data pipelines using Terraform. Experience: Kubernetes Experience: 3+ years of experience managing and maintaining Kubernetes (GKE or other cloud provider equivalent like EKS) clusters, including deployment, troubleshooting, and optimization. Troubleshooting Experience: 3+ years of experience in troubleshooting, diagnosing, and resolving complex issues. Support Experience: Familiarity with support methodologies, case lifecycles, and analytical skills for breaking down issues. Minimum 2 year(s) of experience is required

About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.

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