Cloud Engineer

Introduction:

A highly skilled Cloud Engineer and DevOps professional with extensive experience in designing, building, and managing cloud-native platforms and scalable infrastructures. Proficient in automating cloud deployments, optimizing CI/CD pipelines, and ensuring high availability of mission-critical applications. Expertise in managing large-scale cloud environments, implementing security best practices, and mentoring teams to adopt DevOps methodologies. Strong background in Kubernetes orchestration, containerization, and cloud automation using Terraform and other Infrastructure as Code (IaC) tools. Adept at integrating AI/ML workloads with cloud platforms, optimizing big data processing frameworks like Apache Spark, and ensuring seamless data pipeline execution. Experienced in scaling high-performance, low-latency applications to serve millions of users, managing multi-account, multi-region cloud architectures, and enhancing platform reliability. Skilled in improving CI/CD processes, automating security compliance, and providing technical leadership to development teams. Strong involvement in monitoring, troubleshooting, and performance tuning of distributed systems. Excellent problem-solving skills, with a deep understanding of cloud security, networking, and cost optimization strategies. Passionate about driving innovation, enabling automation at scale, and continuously improving system efficiency through DevOps best practices.

Responsibilities:

• Designing, building, and maintaining cloud-native platforms for scalable and high-performance applications.
• Automating cloud infrastructure deployment using Terraform and Infrastructure as Code (IaC) best practices.
• Developing and optimizing CI/CD pipelines to accelerate application deployment and improve development workflows.
• Managing and scaling Kubernetes clusters in production for containerized applications.
• Ensuring security compliance and automating security processes, including SOC2 and best practices implementation.
• Handling multi-account and multi-region cloud platform management for high availability and reliability.
• Supporting large-scale data processing with Apache Spark, Airflow, and other big data technologies.
• Providing technical leadership and mentoring teams in DevOps, cloud engineering, and best practices.
• Improving continuous integration and deployment strategies across multiple development teams.
• Monitoring, troubleshooting, and optimizing distributed systems for performance and reliability.
• Scaling and managing cloud-based infrastructure for high-throughput, low-latency applications.
• Driving DevOps culture by implementing automation, observability, and deployment best practices.
• Leading Kubernetes deployment projects and managing containerized workloads at scale.
• Ensuring high availability and disaster recovery strategies for mission-critical applications.
• Providing on-call support and handling outage situations to maintain business continuity.
• Collaborating with development and data teams to improve platform scalability and efficiency.
• Industrializing deployment processes to streamline application release cycles.
• Managing and optimizing cloud costs to improve operational efficiency.
• Integrating and supporting AI/ML applications with cloud-based infrastructure for seamless execution.