Platform Engineer - Lead

Iris Software; Dadri; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Iris Software in India is seeking a DevOps/Cloud Engineer to lead enterprise cloud engineering, CI/CD, and infrastructure as code initiatives.

You will architect scalable AWS-based solutions, implement automation, monitoring, and governance, and collaborate with cross-functional teams to drive reliability and cost efficiency.

Experience with containerization (Docker, EKS), mentoring teams, and shaping cloud standards will be valued in this role.

Qualifications

• Experience implementing CI/CD pipelines with Jenkins and Git.
• Strong knowledge of AWS services including EC2, EKS, ECR and CloudWatch.
• Experience with Infrastructure as Code using CloudFormation, Terraform.
• Experience with containerization and orchestration (Docker, ECR, EKS).

Responsibilities

• Define and drive enterprise DevOps and cloud engineering strategies aligned with objectives and roadmaps.
• Establish CI/CD governance and best practices using Jenkins and Git.
• Define IaC frameworks using CloudFormation, AWS CDK, and Terraform.
• Lead containerization and orchestration using Docker, ECR, EKS, and Fargate.
• Architect scalable cloud hosting with EC2, Auto Scaling, Load Balancing, App Runner, and Lambda.
• Drive cloud automation, modernization, and deployment transformation.
• Establish monitoring, logging, and observability using CloudWatch.
• Lead governance, platform standardization, and operational excellence initiatives.
• Define KPIs for data latency, pipeline reliability, data quality, and cost optimization.
• Define DR strategies for cloud platforms.
• Guide teams on DevOps architecture, standards, and automation best practices.
• Collaborate with leadership to align cloud initiatives with objectives.
• Drive continuous improvement in cloud maturity and platform reliability.
• Drive innovation in data engineering including automation and analytics capabilities.

Skills

CI/CD pipelines

Jenkins

Git

AWS EC2

Auto Scaling

Terraform

CloudFormation

ECR

EKS

Docker

CloudWatch

Lambda

App Runner

Job description

Job Description

Mandatory Skills

• CI/CD & Source Control (CI/CD + Jenkins + Git)
• Amazon EC2
• Auto Scaling
• Terraform (AWS Provider)
• AWS CloudFormation
• Amazon ECR
• Amazon EKS
• Docker
• 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.