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
Skills Required
- 3-6 years in Infra / DevOps / MLOps roles
- Experience supporting production AI/ML systems
- Strong hands-on expertise in Kubernetes + Cloud Infrastructure
- CI/CD proficiency with Jenkins, Argo CD
- Cloud experience in AWS, GCP (Vertex AI), Azure
- Knowledge of infra scaling, monitoring, and cost optimization
- Experience managing Kafka, Redis, networking, and containers
- Strong security mindset with compliance awareness
What We Do
Virallens specializes in digital marketing services, focusing on performance marketing, AI solutions, and education marketing. They help clients analyze and define their brand, identify target audiences, and drive impactful business outcomes through creative campaigns and AI-powered tools.
