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.