Job 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
This job post has been translated by AI and may contain minor differences or errors.
