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:
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Take full ownership
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Move with velocity
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Focus on real-world impact
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Thrive in high-trust environments
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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:
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Build and manage the infrastructure powering Virallens AI platforms
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Enable reliable deployment of ML systems into production
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Ensure scalability, security, and cost-efficiency across environments
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Work closely with Engineering and AI teams in a high-ownership setup
Key Responsibilities
Infrastructure & Cloud Ownership
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Design and manage scalable infrastructure across AWS, GCP, and Azure (good to have)
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Support AI/ML workloads, including Vertex AI pipelines
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Ensure high availability, resilience, and performance across systems
CI/CD & Deployment Automation
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Build and maintain robust CI/CD pipelines
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Implement GitOps workflows using:
Jenkins
Argo CD
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Automate deployments across Kubernetes environments
Kubernetes & Scaling
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Own Kubernetes cluster management in production
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Implement:
Horizontal scaling
Vertical scaling
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Optimize workloads for performance under high demand
Cost Optimization & Monitoring
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Drive infrastructure cost optimization across cloud services
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Set up monitoring for:
Uptime
Performance
Cost visibility
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Build proactive alerting and observability systems
Security, Compliance & Standardization
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Implement security best practices across infra layers
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Ensure compliance, governance, and standardization
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Manage:
Access control
Network policies
Secure deployment workflows
Platform & Data Infrastructure
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Manage container systems using:
Docker
Docker Compose
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Handle distributed infrastructure components:
Kafka
Redis
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Support scaling of object storage systems
What We’re Looking For
Experience
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3–6 years in Infra / DevOps / MLOps roles
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Experience supporting production AI/ML systems is a strong plus
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Startup or fast-paced environment exposure preferred
Core Skills
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Strong hands-on expertise in Kubernetes + Cloud Infrastructure
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CI/CD proficiency with Jenkins, Argo CD
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Cloud experience:
AWS
GCP (Vertex AI)
Azure (nice to have)
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Knowledge of infra scaling, monitoring, and cost optimization
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Experience managing Kafka, Redis, networking, and containers
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Strong security mindset with compliance awareness
Why Join Virallens?
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Work on real-world Generative AI systems at scale
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High-ownership culture where your work directly impacts products
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Collaborate with sharp AI and engineering teams
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Opportunity to grow into senior infrastructure leadership roles
