ML OPS - Senior Engineer

Iris Software, Inc.; Dadri; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Iris Software, Inc. is seeking an experienced AWS-focused delivery lead to oversee multiple projects in a fast-paced environment. You will architect cloud solutions, mentor offshore teams, and collaborate with AI/ML engineers to scale infrastructure.

The role requires 5+ years delivering AWS projects, deep knowledge of core AWS services, and strong automation using CDK, Terraform, and GitHub Actions. You will own client communications, manage risks, and drive secure, scalable cloud workloads.

Qualifications

• 5+ years of hands-on AWS delivery experience (total 7+ years).
• Deep knowledge of IAM, VPC, ECS/EKS, Lambda, S3, RDS, SageMaker, etc.
• Strong Docker and Kubernetes expertise for containerized workloads.
• IaC experience (AWS CDK preferred; Terraform acceptable).
• Hands-on with GitHub Actions and CI/CD automation.
• Understanding of the AI/ML ecosystem and deployments.
• Experience owning client communication and delivery updates.
• Ability to unblock offshore teams during distributed hours.

Responsibilities

• Lead and oversee multiple AWS-based delivery initiatives in parallel.
• Act as the primary technical point of contact for client stakeholders.
• Architect and guide cloud solutions leveraging AWS best practices.
• Mentor offshore teams and ensure progress during distributed hours.
• Identify risks, dependencies, and bottlenecks; unblock teams effectively.
• Drive infrastructure automation and platform maturity.
• Collaborate with AI/ML engineers to support ML infra and deployments.
• Ensure security, reliability, scalability, and cost awareness.

Skills

AWS

Docker

Kubernetes

AI/ML infra

CI/CD

Model deployment

Client communication

Offshore collaboration

Ownership mindset

Tools

AWS CDK

Terraform

GitHub Actions

Job description

Job Description

Key Responsibilities

• Lead and oversee multiple AWS-based delivery initiatives in parallel
• Act as the primary technical point of contact for client stakeholders
• Architect and guide cloud solutions leveraging AWS best practices
• Mentor and enable offshore teams, ensuring progress during distributed working hours
• Proactively identify risks, dependencies, and bottlenecks; unblock teams effectively
• Drive infrastructure automation and platform maturity
• Collaborate with AI/ML engineers to support ML infrastructure, pipelines, and deployments
• Ensure security, reliability, scalability, and cost‑awareness across cloud workloads

Skills & Experience

• 5+ years of hands‑on experience delivering AWS projects, with overall 7 years of experience
• Deep understanding of core AWS services (IAM, VPC, ECS/EKS, Lambda, S3, RDS, SageMaker, etc.)
• Strong expertise in container technologies (Docker) and container orchestration (Kubernetes/EKS)
• Proven experience with Infrastructure as Code (AWS CDK preferred; Terraform acceptable)
• Hands‑on experience with GitHub Actions and CI/CD workflow automation
• Understanding of the AI/ML ecosystem, including model deployment and ML infrastructure patterns
• Experience owning client communication, technical discussions, and delivery updates
• Ability to support and unblock teams during offshore working hours
• Self‑driven, proactive, and accountable with a strong ownership mindset

Nice to Have

• Experience with MLOps platforms and ML pipelines
• Exposure to cloud cost optimization and FinOps practices
• Prior people‑management or delivery‑lead experience

Perks and Benefits for Irisians

Iris provides world‑class benefits for a personalized employee experience. These benefits are designed to support financial, health and well‑being needs of Irisians for a holistic professional and personal growth.