{"id":3599110,"url":"https://alion.io/job/virallens-cloud-infrastructure-platform-engineer","title":"Cloud Infrastructure & Platform Engineer","company":{"id":689480,"name":"Virallens","domain":"virallens.com","url":"https://alion.io/company/virallens","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"DNS","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Platform Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Redis","optional":false},{"name":"Rest API","optional":false},{"name":"Terraform","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"Azure","optional":true},{"name":"FinOps","optional":true},{"name":"Istio","optional":true},{"name":"Linkerd","optional":true},{"name":"Service Mesh","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-11-02T07:01:44Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-04T14:54:52Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Cloud Infrastructure & Platform Engineer\nLocation: Bengaluru, Karnataka (On-site)\nEmployment Type: Full-time\nExperience: 3-6 Years\nAbout the Role\nAs a Cloud Infrastructure & Platform Engineer, you will design, build, and operate the cloud infrastructure that powers our AI products and enterprise applications.\nYou'll own infrastructure architecture across cloud platforms, networking, Kubernetes, security, scalability, observability, and platform services while enabling engineering teams to build and deploy applications efficiently.\nRather than focusing only on deployments, you'll architect reliable, secure, and scalable infrastructure that supports production workloads, AI services, and modern SaaS platforms.\nYou'll work closely with Engineering, AI, and Product teams to design infrastructure that balances performance, reliability, security, and cost.\nWhat You'll Do\nCloud Infrastructure & Platform Architecture\nDesign cloud-native infrastructure on AWS or GCP for scalable production applications.\nArchitect Kubernetes platforms that support microservices, AI workloads, APIs, and enterprise applications.\nDesign secure networking including VPCs, subnets, private networking, VPNs, load balancers, gateways, and DNS.\nBuild reusable infrastructure using Infrastructure as Code (Terraform).\nDesign highly available, fault-tolerant, and disaster-resilient cloud architectures.\nDefine infrastructure standards, governance, and platform best practices.\nDesign multi-environment infrastructure for development, staging, and production.\nApplication Infrastructure\nDesign infrastructure for containerized applications using Kubernetes and Docker.\nArchitect application networking, ingress, service discovery, storage, and scaling strategies.\nBuild infrastructure supporting REST APIs, event-driven systems, background workers, and distributed services.\nDesign infrastructure for databases, Redis, Kafka, object storage, and messaging systems.\nSupport multi-tenant SaaS architectures with secure tenant isolation.\nOptimize infrastructure for performance, scalability, availability, and operational efficiency.\nSecurity & Reliability\nImplement cloud security best practices including IAM, secrets management, encryption, network security, and compliance.\nDesign monitoring, logging, alerting, tracing, and operational dashboards.\nImprove resilience through backup, disaster recovery, failover, and capacity planning.\nPerform infrastructure reviews, architecture improvements, and production readiness assessments.\nOptimize cloud resource utilization and infrastructure costs.\nPlatform Engineering & Automation\nBuild internal platforms that simplify infrastructure provisioning and deployments.\nCreate reusable Terraform modules and platform templates.\nImprove developer experience through automation and self-service infrastructure.\nEnhance CI/CD pipelines where required to support reliable infrastructure delivery.\nStandardize infrastructure provisioning across engineering teams.\nAI Infrastructure (Preferred)\nDesign infrastructure supporting AI inference, RAG systems, vector databases, and LLM services.\nBuild scalable GPU-enabled infrastructure where required.\nSupport AI workloads with efficient networking, storage, monitoring, and autoscaling.\nWhat We're Looking For\nRequired Skills\n3-6 years of experience designing and managing cloud infrastructure.\nStrong experience with AWS or GCP architecture.\nHands-on experience designing Kubernetes platforms in production.\nExpertise in Infrastructure as Code using Terraform.\nStrong understanding of networking, VPC design, routing, DNS, VPNs, firewalls, and load balancing.\nExperience designing scalable cloud architectures for distributed applications.\nKnowledge of Linux, Docker, Kubernetes, and cloud-native technologies.\nExperience designing highly available, fault-tolerant systems.\nStrong understanding of infrastructure security and cloud best practices.\nExperience with monitoring, observability, and platform reliability.\nExcellent troubleshooting and architecture skills.\nNice to Have\nExperience designing infrastructure for AI/ML platforms.\nExperience with Vertex AI, SageMaker, or GPU infrastructure.\nMulti-cloud experience (AWS, GCP, Azure).\nExperience with service mesh technologies (Istio, Linkerd).\nExperience building Internal Developer Platforms (IDP).\nKnowledge of FinOps and cloud cost optimization.\nExperience with large-scale SaaS infrastructure.\nWhat You'll Build\nYou'll design and build cloud-native infrastructure, Kubernetes platforms, secure networking, AI infrastructure, scalable application platforms, observability systems, and reusable cloud foundations that power production AI applications and enterprise software.\nWhat Will Help You Succeed\nWe're looking for someone who:\nThinks in terms of platform and infrastructure architecture, not just deployments.\nDesigns scalable, secure, and resilient systems.\nTakes ownership of cloud infrastructure end-to-end.\nBalances reliability, performance, security, and cost.\nCollaborates effectively with Software, AI, and Product teams.\nContinuously improves platform capabilities and developer experience.\nWhat Success Looks Like\nWithin your first few months, you'll:\nDesign scalable cloud infrastructure for production applications.\nImprove Kubernetes architecture and platform reliability.\nEstablish reusable infrastructure standards and IaC practices.\nStrengthen infrastructure security, observability, and resilience.\nOptimize cloud performance and operational costs.\nBecome the go-to infrastructure architect for Engineering and AI 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