Devops AWS - Lead

Iris Software

Dadri

Presencial

INR 2.000.000 - 4.000.000

Jornada completa

Hace 3 días
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Descripción de la vacante

Iris Software is seeking a seasoned DevOps/Cloud Engineer to define and drive enterprise cloud strategies. You will establish CI/CD governance, automate deployments, and design IaC using CloudFormation and Terraform. Expertise in Docker, AWS EKS/ECR, and CloudWatch is essential to ensure scalable, reliable platforms.

You will collaborate with leadership to align cloud initiatives with business goals and lead modernization efforts across teams.

Formación

  • Proficient in CI/CD with Jenkins and Git for enterprise delivery.
  • Hands-on AWS experience with EC2, EKS, ECR, and CloudWatch.
  • Strong IaC skills using CloudFormation and Terraform.
  • Containerization and orchestration expertise with Docker.
  • Ability to define reliability, scalability, and DR for cloud platforms.

Responsabilidades

  • Define and drive DevOps and cloud engineering strategies aligned to roadmaps.
  • Establish CI/CD governance and best practices across delivery teams.
  • Define IaC frameworks using CloudFormation, CDK, and Terraform.
  • Lead containerization and orchestration with Docker, ECR, and EKS.
  • Architect scalable cloud hosting using EC2, Auto Scaling, Load Balancing.
  • Drive cloud automation, modernization, and deployment transformation.
  • Establish monitoring and observability with CloudWatch.
  • Lead governance, platform standardization, and operational excellence.

Conocimientos

CI/CD
Jenkins
Git
AWS EC2
Auto Scaling
AWS CloudFormation
Terraform
Amazon ECR
Amazon EKS
Docker
SNS
CloudWatch
Automation

Herramientas

Jenkins
Git
Terraform
CloudFormation
AWS
Docker
Kubernetes
AWS CloudWatch

Descripción del empleo

Job Description

Mandatory Skills: CI/CD & Source Control (CI/CD + Jenkins + Git), Amazon EC2, Auto Scaling, AWS CloudFormation, Terraform (AWS Provider), Amazon ECR, Amazon EKS, Docker, SNS, Amazon CloudWatch

Key Responsibilities
  • Define and drive enterprise DevOps and cloud engineering strategies aligned with organizational objectives and technology roadmaps.
  • Establish CI/CD governance, standards, and best practices using Jenkins and Git across delivery teams.
  • Define enterprise Infrastructure as Code frameworks using AWS CloudFormation, AWS CDK, and Terraform.
  • Lead containerization and orchestration strategy using Docker, Amazon ECR, Amazon EKS, and AWS Fargate.
  • Architect scalable and resilient cloud hosting solutions using EC2, Auto Scaling, Load Balancing, AWS App Runner, and AWS Lambda.
  • Drive cloud automation, infrastructure modernization, and deployment transformation initiatives.
  • Establish enterprise monitoring, logging, and observability frameworks using Amazon CloudWatch.
  • Lead cloud governance, platform standardization, and operational excellence initiatives.
  • Define and monitor KPIs such as data latency, pipeline reliability, data quality, and cost optimization.
  • Define reliability, scalability, availability, and disaster recovery strategies for cloud platforms.
  • Guide teams on DevOps architecture, cloud engineering standards, and automation best practices.
  • Collaborate with various teams and leadership stakeholders to align cloud initiatives with organizational objectives.
  • Drive continuous improvement initiatives focused on cloud maturity, operational excellence, automation effectiveness, and platform reliability.
  • Drive innovation in data engineering includes automation, data platform modernization, and advanced analytics capabilities.
Behavioral Competencies
  • Demonstrates leadership and accountability in driving cloud and DevOps excellence across programs and initiatives.
  • Collaborate effectively with various teams and business stakeholders to ensure smooth delivery.
  • Promotes a culture of automation, innovation, reliability, and continuous improvement.
  • Applies strategic thinking to address cloud platform risks, operational challenges, and business priorities.
  • Demonstrates strong decision-making while balancing scalability, reliability, security, and delivery objectives.
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