Senior Cloud and DevOps Engineer

Cloud / DevOps Engineer would lead the implementation, automation, and operational reliability of cloud-native and DevOps solutions across Azure environments, with awareness of equivalent AWS patterns where required. The role would involve transformation of MVP applications into production-grade, multi-tenant SaaS platforms by enabling cloud-native deployment architecture—driving database migration support, containerized deployments on Azure, secure identity and access management, CI/CD pipeline implementation, observability setup, environment consistency, and performance optimization for scalable operations.

Cloud Architecture & Implementation

• Design and implement scalable, secure, and cost-optimized cloud solutions primarily on Azure.

• Drive adoption of PaaS, managed services, and container-based deployment models.

• Enable deployment architecture using Azure App Service, Azure Functions, Blob Storage, Key Vault, and Entra ID / AAD.

• Establish cloud governance, environment consistency, access control, and cost optimization practices.

Containerization & Platform Engineering

• Design and implement container-based application deployment using Docker.

• Build and optimize Docker Compose setups for multi-service environments and multi-stage builds for secure, lightweight images.

• Support deployment using orchestration services such as Kubernetes (AKS / EKS awareness) or Azure Container Apps.

• Improve platform consistency, portability, and deployment repeatability.

CI/CD & DevOps Transformation

• Architect and implement end-to-end CI/CD pipelines using GitHub Actions / Azure DevOps.

• Enable automated builds, testing, and deployment with multi-stage environment promotion.

• Support deployment strategies such as blue-green, canary, or rolling updates.

• Improve release reliability, deployment speed, and operational maturity.

Reliability, Observability & Operations

• Implement observability using structured logging, distributed tracing, dashboards, and APM tooling.

• Enable health checks, readiness validation, alerting, incident response readiness, and SLO-based monitoring.

• Support resilience mechanisms including retries, graceful degradation, and fault-aware deployment patterns.

Security & DevSecOps

• Implement secure DevOps practices including secret management, identity and role-based access controls, and pipeline-integrated security scans.

• Ensure secure configuration and alignment with enterprise standards for cloud delivery and operations.

Performance & Scalability

• Support performance strategies including caching, autoscaling, deployment tuning, and environment optimization.

• Assist with provisioning and managing Redis / distributed cache services where applicable.

• Enable scalable deployment patterns for growing user demand and system load.

• Required Technical Skills

• Docker / Containers | Advanced — Compose, multi-stage builds, image hardening, container deployment

• Azure Cloud | Proficient — App Service, Functions, Blob Storage, Key Vault, Entra ID / AAD

• CI/CD | Advanced — GitHub Actions or Azure DevOps; automated testing and staged deployments

• Git | Advanced — branching strategies, PR workflows, repository governance

• Cluster Provisioning & Management | Proficient — Kubernetes / AKS / container orchestration awareness

• Monitoring & Operations | Proficient — Azure Monitor, App Insights, dashboards, alerts, logs

• Security & Automation | Proficient — secrets, identity, access control, scanning, IaC awareness

Required Experience

• Minimum 6 years of professional experience in Cloud / DevOps engineering.

• Proven experience in enabling cloud-native deployment practices for enterprise or SaaS applications.

• Hands-on experience with CI/CD pipelines, release automation, and environment promotion strategies.

• Experience supporting containerized deployments and modern cloud-hosted applications.

• Experience with observability, operational monitoring, and incident-supporting platform practices.

• Exposure to secure DevOps practices, secrets management, and identity-based access controls.

• Experience improving deployment reliability, automation, and operational consistency across environments.

Preferred (Not Required)

• Exposure to MVP-to-production modernization programs.

• Experience with Terraform / Bicep / infrastructure-as-code tooling.

• Exposure to SaaS multi-tenancy, API gateways, or cloud platform hardening.

• Experience in consultancy, infrastructure, or engineering sector platforms.

• Exposure to AI-assisted engineering productivity tooling.

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.

• 8+ years of hands-on experience in cloud engineering, DevOps, or platform operations.

BGV:

• Employment with WSP India is subject to the successful completion of a background verification (“BGV”) check conducted by a third-party agency appointed by WSP India.

• Candidates are advised to ensure that all information provided during the recruitment process — including documents uploaded — is accurate and complete, both to WSP India and its BGV partner”.

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