: ₹ 15+ years of architecture experience focused on large-scale enterprise cloud platforms. ? Expert-level architecture proficiency in AWS, Azure, and/or GCP across compute, networking, IAM, storage, serverless and managed services. ? Strong multi-cloud architecture capability including unified governance, workload placement, interoperability design, guardrails and landing zone frameworks. ? Deep Kubernetes architecture experience multi-region clusters, service mesh (Istio/Consul), zero-trust ingress/egress patterns and cluster governance. ? Expertise in HA/DR architecture, including regional failover, backup/restore design, cross-region replication, snapshot management, DR drills and RPO/RTO modeling. ? Strong experience with backup and recovery solutions across cloud, hybrid, and Kubernetes environments (e.g., Velero, native cloud backups, snapshot orchestration). ? Experience designing internal developer platforms (IDP) and platform engineering frameworks. ? Strong understanding of hybrid-cloud connectivity Direct Connect, ExpressRoute, VPN, transit gateways, SD-WAN integration. ? Solid knowledge of cloud security tooling such as CSPM, CWPP and governance automation. ? Familiarity with SRE principles, reliability engineering, chaos engineering and automated remediation. ? Expertise in enterprise integration architectures: Kafka, message queues, streaming platforms, event-driven and asynchronous communication models. ? Advanced observability architecture experience distributed tracing, logging pipelines, metrics frameworks, SLIs/SLOs and monitoring design. ? Strong command of Infrastructure as Code (Terraform, CloudFormation) and automation strategies. ? Experience defining cloud security architecture, IAM strategies, zero-trust controls and compliance-driven automation. ? Strong knowledge of FinOps and cloud cost governance, including budgeting, allocation, optimization strategies and cost-control frameworks. ? Proven ability to produce high-quality HLDs, LLDs, standards, ADRs and enterprise architectural blueprints. ? Strong leadership in architecture review boards, solution governance and guiding engineering and architecture teams.
Good to Have Skills
: ₹ Background in AI/ML platform architecture, data platforms or large-scale data engineering pipelines. ? Relevant enterprise certifications like AWS Solutions Architect, Azure Solutions Architect Expert, GCP Professional Cloud Architect
Qualification
: BE/BTech/MCA/ME/MTech/MS in Computer Science or a related technical field or equivalent practical experience