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 workplace 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”.

📌 Senior Cloud and DevOps Engineer (Bengaluru)
🏢 Wsp
📍 Bengaluru