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.