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
