Posted:2 weeks ago|
Platform:
Work from Office
Full Time
Hands-on experience with cloud platforms (AWS, Azure, GCP) - AI/ML services experience preferred.
Proficient in infrastructure automation tools such as Terraform, Helm Charts, Ansible, etc.
Strong understanding of DevOps practices/tools, including CI/CD, Pipelines, GitHub Actions, and Infrastructure as Code.
Basic scripting knowledge in Python, able to write automation scripts in Python and Groovy DSL.
Experienced in managing the delivery of high-availability infrastructure to support mission-critical systems and services.
Experience with source version control tools like Azure Repos and GitHub.
Experience with containerization (Kubernetes, Docker) and orchestration.
Strong knowledge of networking concepts (TCP/IP, VNet/Subnet, DNS, Load Balancers, Application Gateway, etc.) and security practices (VPN, Firewalls, encryption).
Familiarity with databases and caching mechanisms used in our stack, such as PostgreSQL and Redis.
Experience in handling complex IT infrastructure solution design and implementation.
Excellent communication and interpersonal skills, effective problem-solving skills, logical thinking ability, and strong commitment to professional and client service excellence.
— Excellent teamwork skills and the ability to direct efforts of cross-functional teams for a collaborative proposition. — Strong synthesis and analytical skills.
— Experience working in a consulting environment is an added advantage.
— Design, implement, and maintain scalable and secure cloud infrastructure to support applications built on Django, Python, Node.js, and React.js
— Demonstrate advanced troubleshooting expertise in Azure and GCP cloud environments
— Possess in-depth knowledge of Azure and GCP troubleshooting methodologies, including:
— Demonstrate good knowledge of Helm and Kubernetes
— Maintain a solid understanding of Azure DevOps (ADO) tools, including boards, repos, pipelines, and artifacts.
— Collaborate with development teams to streamline CI/CD pipelines, enabling seamless code deployment and faster delivery cycles.
— Conduct comprehensive monitoring (Application Insights, Log Analytics, Grafana) and advanced troubleshooting of application performance and system reliability.
— Identify and resolve complex infrastructure and cloud-related issues across Azure and GCP platforms.
— Utilize Python and Groovy for advanced troubleshooting scripts and automation tasks.
— Develop and implement proactive monitoring and diagnostic strategies for cloud infrastructure.
— Work closely with security teams to ensure tool compliance and rapid issue resolution.
— Reduce system toil through intelligent troubleshooting and automation approaches.
Nice-to Have: Azure OpenAI, AI Search, AI Foundry, Python, and Database Management, Vertex AI
Kezan Consulting
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