# Infra Engineer (DevOps + MLOps)

> Virallens · Bengaluru, India · Full-time · Posted 2026-06-04

**Workplace:** on_site

## Description

**Role: Infra Engineer (DevOps + MLOps)**

**Location: Bengaluru, Karnataka**

**Experience: 3–6 Years**

**About Virallens**

At Virallens, we are a dynamic, tech-driven team helping businesses scale, innovate, and lead through powerful AI-first solutions.

We design, develop, and deploy intelligent systems powered by cutting-edge Generative AI, paired with strong execution across product, growth, and digital delivery to create measurable outcomes for our clients.

**  
We operate in a collaborative, fast-paced environment where people:**

-   Take full ownership
-   Move with velocity
-   Focus on real-world impact
-   Thrive in high-trust environments
-   As we scale rapidly, we are hiring an **Infrastructure Engineer** to own our **DevOps + MLOps** backbone.

  
**About the Role**

As an **Infra Engineer (DevOps + MLOps)**, you will:

-   Build and manage the infrastructure powering **Virallens AI platforms**
-   Enable reliable deployment of ML systems into production
-   Ensure scalability, security, and cost-efficiency across environments
-   Work closely with Engineering and AI teams in a high-ownership setup

**Key Responsibilities**

**Infrastructure & Cloud Ownership**

-   Design and manage scalable infrastructure across AWS, GCP, and Azure (good to have)

-   Support AI/ML workloads, including Vertex AI pipelines
-   Ensure high availability, resilience, and performance across systems

**CI/CD & Deployment Automation**

-   Build and maintain robust CI/CD pipelines
-   Implement GitOps workflows using:

Jenkins

Argo CD

-   Automate deployments across Kubernetes environments

**Kubernetes & Scaling**

-   Own Kubernetes cluster management in production
-   Implement:

Horizontal scaling

Vertical scaling

-   Optimize workloads for performance under high demand

**Cost Optimization & Monitoring**

-   Drive infrastructure cost optimization across cloud services

-   Set up monitoring for:

Uptime

Performance

Cost visibility

-   Build proactive alerting and observability systems

**Security, Compliance & Standardization**

-   Implement security best practices across infra layers
-   Ensure compliance, governance, and standardization
-   Manage:

Access control

Network policies

Secure deployment workflows

**Platform & Data Infrastructure**

-   Manage container systems using:

Docker

Docker Compose

-   Handle distributed infrastructure components:

Kafka

Redis

-   Support scaling of object storage systems

**What We’re Looking For**

**Experience**

-   3–6 years in Infra / DevOps / MLOps roles
-   Experience supporting production AI/ML systems is a strong plus
-   Startup or fast-paced environment exposure preferred

**  
Core Skills**

-   Strong hands-on expertise in Kubernetes + Cloud Infrastructure
-   CI/CD proficiency with Jenkins, Argo CD
-   Cloud experience:

AWS

GCP (Vertex AI)

Azure (nice to have)

-   Knowledge of infra scaling, monitoring, and cost optimization
-   Experience managing Kafka, Redis, networking, and containers
-   Strong security mindset with compliance awareness

  
  
Why Join Virallens?

-   Work on real-world Generative AI systems at scale
-   High-ownership culture where your work directly impacts products
-   Collaborate with sharp AI and engineering teams
-   Opportunity to grow into senior infrastructure leadership roles

## Apply

[Apply at Virallens](https://apply.workable.com/virallens/j/9E9A6B9321/apply)

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