We are seeking an experienced DevOps Infrastructure Engineer with deep technical expertise in multi cloud infrastructure automation, distributed system design, and secure, high availability environments. This role will own delivery of resilient platform services across Azure, AWS, GCP, and OCI, with strong emphasis on IaC, Kubernetes, pipelines, and observability engineering.

Looking for candidates only from Tier 1 Institutes{IIT, NIT, etc}.

Core Technical Responsibilities :

Multi-Cloud Architecture & Engineering

- Architect and automate provisioning of compute, networking, storage, and identity systems across Azure, AWS, GCP, and OCI

- Implement advanced cloud networking (VNet/Transit Gateway, VPC Peering, ExpressRoute/VPN, DNS, WAF, Load Balancing)

- Configure workload scaling policies, auto-healing, and disaster recovery strategies using multi-region / multi zone deployment models

- Enable governance controls including RBAC, Azure Policies, Cloud Custodian, and Secrets Management (Key Vault, KMS, HashiCorp Vault)

Containers, Kubernetes & Platform Ops

- Deploy and operate containerized workloads via AKS, EKS, GKE, and OCI Container Engine

- Implement GitOps workflows using FluxCD or ArgoCD

- Build secure container supply chains (image scanning, policy enforcement, artifact registries)

- Tune and monitor cluster internals including etcd, CNI plugins, ingress controllers, and service mesh technologies

CI/CD Engineering & Automation

- Engineer fully automated CI/CD pipelines using Azure DevOps, Jenkins, GitLab, or GitHub Actions

- Integrate automated test suites, security scanning (SAST/DAST), compliance gates, artifact promotion, and bluegreen / canary deployments

- Develop reusable Terraform modules and pipelines for scalable IaC delivery

- Automate operational runbooks through scripting in PowerShell, Python, or Bash

Data Platform Infrastructure

- Administer SQL and NoSQL systems (SQL Server, PostgreSQL, MySQL, Cosmos DB, Redis, MongoDB)

- Design HA/replication strategies, automated failover, and query performance tuning

- Implement backup orchestration, PITR, policy-based archiving, encryption, and audit enforcement Observability, SRE & Incident Response

- Deploy telemetry pipelines ingesting metrics, logs, and traces into tools such as Prometheus, Grafana, DataDog, and Azure Monitor

- Configure synthetic tests, distributed tracing, and SLO/SLI tracking aligned to reliability objectives

- Lead root cause analysis and implement corrective automation to reduce MTTR

Required Technical Qualifications :

- 5+ years hands-on DevOps / Cloud SRE engineering in production systems

- Expert-level proficiency with Terraform, cloud-native networking, and Kubernetes

- Multicloud platform experience including Azure, plus experience with GCP, AWS, and OCI

- Strong understanding of identity federation, MFA/SSO, OAuth2, SAML, and workload identity

- Demonstrated experience designing secure architectures aligned to NIST, CIS Benchmarks, and Zero Trust models

- Fluent in scripting for automation and infrastructure operations (PowerShell, Python, Bash)

- Proven reliability engineering experience delivering resilient distributed systems

Preferred Technical Skills :

- Azure AZ104, AZ305, DevOps, or equivalent cloud certifications

- FinOps methodologies for cost control and workload efficiency

- Service mesh experience (Istio, Linkerd, Consul)

- Eventdriven architecture support (Kafka, EventHub, Pub/Sub)

- Automation for patching, compliance, and vulnerability remediation

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