Join Iris Software, recognized as one of India's Top 25 Best Workplaces in the IT industry. We are a rapidly growing IT services company committed to being our clients' most trusted technology partner and a premier destination for top industry professionals. Our vision is to empower our associates to realize their full potential.

With a global presence across India, the U.S.A., and Canada, we specialize in delivering technology-enabled transformations for clients in financial services, healthcare, transportation & logistics, and professional services. We work on complex, mission-critical applications utilizing cutting-edge technologies in areas like Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.

As a Senior DevOps Engineer, you will be instrumental in designing and implementing scalable CI/CD frameworks using Jenkins and Git for enhanced deployment reliability and release efficiency.

You will establish Infrastructure as Code standards and develop reusable provisioning templates with AWS CloudFormation, AWS CDK, and Terraform. Leading containerization efforts with Docker and managing container lifecycles via Amazon ECR will be key. Furthermore, you'll architect and optimize container orchestration using Amazon EKS and AWS Fargate.

Your role will involve architecting and optimizing AWS hosting environments using EC2, Auto Scaling, Load Balancers, AWS App Runner, and AWS Lambda. Driving automation across infrastructure provisioning, deployment workflows, and environment management is essential. You will also define monitoring, logging, and observability standards utilizing Amazon CloudWatch.

Implementing event-driven integration patterns with SNS, SQS, and EventBridge to support scalable cloud architectures, and reviewing infrastructure code and configurations for adherence to engineering standards will be critical. You will troubleshoot complex infrastructure and platform issues through detailed root cause analysis.

Collaboration with diverse teams and stakeholders to ensure seamless cloud delivery and operational excellence is expected. Mentoring team members on DevOps practices, cloud engineering standards, and automation strategies will foster team growth. Driving continuous improvement initiatives for platform reliability, scalability, security, and operational efficiency will be a core focus.

We are seeking experienced professionals with mandatory skills in CI/CD, Jenkins, Git, Terraform, Docker, Amazon CloudWatch, Amazon EC2, and AWS Lambda. Proficiency in additional areas like Python and Databricks Workflows is advantageous.

Key behavioral competencies include strong ownership, effective collaboration with stakeholders, promoting an automation-first culture, applying analytical thinking to complex challenges, and adaptability to evolving technologies. Excellent communication skills regarding platform health, risks, and improvements are essential. A high level of attention to detail in infrastructure, automation, and deployment activities is expected.

You will be expected to encourage continuous improvement in DevOps processes and automation frameworks, support knowledge sharing, and mentor team members. Balancing platform reliability, scalability, and business priorities while driving delivery excellence is paramount.

Experience with Data Science and Machine Learning concepts, particularly Databricks and Python, is highly valued. Expertise in AWS services such as CloudWatch, EC2/Autoscaling/Load Balancing, Lambda, EventBridge, Fargate, VPC, Route 53, DirectConnect, Security Groups, ACL, IAM, Secrets Manager, KMS, and Cognito will be beneficial. Familiarity with Docker for containerization and DevOps/Configuration Management tools like Terraform and Jenkins is crucial.