Cloud Engineer-DevOps

A. Job Purpose The Cloud Engineer–DevOps designs, sets up, and operates scalable cloud infrastructure and CI/CD pipelines. This position maintains high availability, security, and automation in development and production environments while working with cross-functional teams to streamline deployment workflows. B. Duties and Responsibilities · Design, deploy, and operate cloud infrastructure (AWS/Azure/GCP) with IaC (Terraform, CloudFormation). · Manage container orchestration (Docker, Kubernetes, ECS/EKS). · Monitor and optimize AWS infrastructure for performance, cost, and security, implementing automated monitoring and alerting systems. · Analyze manual processes to identify automation opportunities and improve operational efficiency. · Create and execute scalable continuous integration and continuous delivery pipelines (Jenkins, GitHub Actions, GitLab CI/CD,CodePipeline,CodeBuild). · Streamline build, test, and deployment procedures for various applications and environments. · Deploy, maintain, and manage AWS production systems, ensuring availability, reliability, security, and scalability. · Develop and maintain RESTful APIs and microservices using high-level programming languages such as Python, Java, or Node.js. · Work with relational (e.g., MSSQL, PostgreSQL, RDS) and non-relational (e.g., MongoDB, ElastiCache) databases. · Collaborate with software developers, designers, product managers, and other stakeholders to translate requirements into technical solutions. · Debug and resolve technical issues related to DevOps processes, infrastructure, and application performance. · Identify and address bottlenecks, performance issues, and security vulnerabilities, recommending effective solutions. C. Qualifications and Work Experience · Bachelor's degree in Computer Science, Information Technology, or related field. · 5+ years of experience working in Cloud Engineer–DevOps, DevOps or SRE roles or cloud engineering. · AWS Certified Developer – Associate or AWS Certified DevOps Engineer – Professional certification (preferred). · Hands-on containerization (e.g., Docker, ECS, EKS) and scripting languages (e.g., Python, Bash) experience. · Proven experience deploying CI/CD pipelines into production environments D. Essential Skills Technical: · Excellent skills in cloud services, Infrastructure as Code tools, CI/CD tools, Docker, and Kubernetes. · Advanced scripting (Python/Bash) and automation capabilities. · Networking, security, and database management knowledge. · Good troubleshooting and debugging skills in Linux environments. · Good communication, documentation, and collaboration skills. · Knowledge of monitoring and observability tools (Prometheus, Grafana, ELK Stack). Professional Skills: · Good communication and collaboration skills among technical and non-technical team. · Capacity to work independently and handle multiple projects at once. · Strategic understanding of compliance requirements and security best practices Leadership and mentoring abilities. Requirements Must Have Skills: Strong hands-on experience with AWS services (EC2, S3, RDS, IAM, VPC, CloudWatch, ALB/NLB, etc.) Expertise in Kubernetes (EKS) – cluster setup, scaling, upgrades, and troubleshooting Proficiency in Python scripting/automation (boto3, automation frameworks) Experience with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, AWS CodePipeline) Infrastructure as Code (Terraform / CloudFormation) Strong Linux administration and shell scripting skills GitOps (ArgoCD, Flux) Monitoring & logging (Prometheus, Grafana, ELK/EFK, CloudWatch) Service mesh (Istio, Linkerd) Security best practices (IAM, Secrets Management, Vulnerability Scanning) Soft Skills: Problem-solving & troubleshooting ability Team collaboration & communication skills Good documentation practices Benefits Cutting-edge Technology Exposure – Hands-on with AWS, Kubernetes (EKS), Python automation, and AI-driven DevOps solutions (e.g., AI-based monitoring, auto-healing, and optimization in EKS). Career Growth & Certifications – Support for AWS/Kubernetes certifications, training programs, and continuous learning. Challenging Projects – Opportunity to design and manage scalable, secure, and high-performance cloud + AI-powered DevOps solutions. Collaborative Culture – Work with a skilled team of cloud and DevOps engineers in a knowledge-sharing, growth-oriented environment. Job Stability & Recognition – Be part of a fast-growing cloud services company with enterprise clients and next-gen technology adoption.