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Senior Cloud Platform / DevSecOps Engineer

MP Dominic & Co

India
Full-Time
Posted 22 days ago

Opens the application on bebee.com

Job Description & Responsibilities

Role Overview

We are looking for an experienced Senior Cloud Platform / DevSecOps Engineer to design,

automate, secure, and operate enterprise-grade cloud platforms for Foresight Edge and its clients.

The role requires strong hands-on capability across Infrastructure-as-Code, cloud governance and identity, networking, Kubernetes, CI/CD and GitOps, security controls, observability,

backup/DR, and cloud PaaS and data services.

The successful candidate should be comfortable owning infrastructure from architecture and

Infrastructure-as-Code through deployment, security, observability, operations, and disaster recovery.

This is a hands-on engineering role suited for someone who can operate independently,

troubleshoot complex platform issues, and work closely with application, data, analytics,

security, and client infrastructure teams.

Key Responsibilities

Cloud Infrastructure & Infrastructure-as-Code

 Design, build, and manage cloud infrastructure using Terraform (Terragrunt or similar orchestration tools an advantage).

 Develop reusable, well-documented modules and patterns, leveraging verified/community modules where appropriate.

 Maintain environment-specific infrastructure configurations using Git-based workflows.

 Drive Infrastructure-as-Code standards, peer reviews, testing, and automation.

Cloud Governance & Identity

 Implement and manage cloud governance controls, including

o Management group / account hierarchy o Policy-as-code and compliance guardrails o Role-based access control (RBAC)

o Privileged access management (e.g. Azure PIM)

 Design secure enterprise landing zones and subscription/account structures.

 Manage identity and access using Microsoft Entra ID (or equivalent) — groups, app registrations, service principals, and enterprise applications.

 Implement OIDC and workload identity federation for passwordless automation and workloads.

Cloud Networking

 Design and support enterprise cloud networking, including

o Hub-and-spoke network topologies o Cloud firewalls and network security groups o Private DNS o Private Link / Private Endpoints o Hybrid connectivity (ExpressRoute, VPN gateways)

o Application gateways and Web Application Firewalls (WAF)

 Implement secure network segmentation and connectivity across cloud and on-premises environments.

 Troubleshoot routing, DNS, firewall, and private connectivity issues.

Kubernetes & Container Platform Engineering

 Design and operate secure, private Kubernetes clusters (AKS preferred; EKS/GKE also relevant).

 Configure cluster networking (CNI), node pools, workload identity, ingress, and storage/CSI drivers.

 Implement Kubernetes security, scaling, resilience, and operational best practices.

 Package and deploy applications and platform components using Helm.

 Manage certificate lifecycle using tools such as cert-manager.

 Troubleshoot Kubernetes workloads, networking, storage, ingress, and cluster-level issues.

CI/CD, GitOps & Developer Platform

 Administer source control platforms (e.g. GitHub) — organisations, repositories, access controls, and branch protections.

 Develop and maintain CI/CD pipelines using GitHub Actions, Azure DevOps, or similar tools.

 Configure and operate self-hosted build runners/agents where required.

 Implement container build, scanning, and release pipelines.

 Deploy and manage workloads through GitOps tooling such as ArgoCD or Flux.

 Establish promotion strategies across development, test, staging, and production environments.

 Implement secure secrets and configuration management within CI/CD workflows.

Cloud PaaS & Data Platform Services

Hands-on experience managing and automating cloud services such as

 Container registries and secrets/key management (e.g. Azure Container Registry, Key

Vault)

 Managed relational databases (e.g. PostgreSQL, SQL Server)

 NoSQL / document databases (e.g. Cosmos DB, MongoDB)

 Data lake and object storage (e.g. ADLS Gen2, Blob Storage)

 Data integration and streaming services supporting analytics workloads (e.g. Data

Factory, Kafka, Spark-based platforms)

 PaaS networking and Private Endpoints

 Backup, migration, and data movement tooling

Support data migration activities and the infrastructure required for enterprise data and analytics workloads.

Observability & Operations

 Implement end-to-end monitoring using tools such as

o OpenTelemetry o Grafana / Prometheus o Azure Monitor / Log Analytics (KQL)

 Build dashboards, alerts, and operational health monitoring.

 Implement distributed tracing, metrics, and centralised logging.

 Perform root cause analysis for platform and application incidents.

 Continuously improve platform reliability, performance, and availability.

Backup, Restore & Disaster Recovery

 Implement Kubernetes backup and restore using tools such as Velero.

 Configure database Point-in-Time Recovery (PITR) and backup policies.

 Design and validate backup, recovery, and disaster-recovery processes.

 Conduct restore testing and document recovery runbooks.

 Ensure workloads meet required RPO and RTO objectives.

Security & DevSecOps

 Integrate security controls across infrastructure and deployment pipelines.

 Work with security scanning tools (e.g. Snyk, Trivy, Checkov, SonarQube) across:

o IaC scanning o SAST o Software Composition Analysis (SCA)

o Container image security

 Implement Kubernetes policy enforcement using tools such as OPA/Gatekeeper or

Kyverno.

 Configure and manage application and network security, including WAF rules.

 Apply least-privilege access, secure secret handling, identity-based authentication, and policy-driven governance.

 Support compliance with client and industry requirements in regulated sectors (e.g.

finance, healthcare, public sector).

DNS, Edge & Application Access

 Manage DNS and edge services (e.g. Cloudflare, Azure Front Door, Azure DNS) through

Terraform, including

o DNS zones and records o Secure tunnels and zero-trust application access o Edge WAF and DDoS protection o Global load balancing

 Automate DNS and edge-security configuration through Infrastructure-as-Code.

 Troubleshoot DNS resolution, certificates, edge connectivity, and application access.

Automation & Scripting

Strong hands-on capability with

 Bash and/or PowerShell (Python an advantage)

 Cloud CLIs (e.g. Azure CLI)

 kubectl and Helm CLI

 Git

 Terraform CLI

Use scripting and automation to reduce manual operational tasks and improve platform consistency.

Required Skills & Experience

 7+ years of experience in Cloud Engineering, Platform Engineering, DevOps, or SRE roles.

 Strong hands-on experience with at least one major cloud platform — Microsoft Azure preferred; AWS or Google Cloud also valued.

 Advanced Terraform / Infrastructure-as-Code expertise.

 Strong knowledge of cloud governance and enterprise landing-zone concepts.

 Hands-on Kubernetes experience in production (AKS, EKS, or GKE).

 Strong CI/CD and GitOps experience.

 Good understanding of enterprise networking and security.

 Strong experience with cloud identity and access management (e.g. Entra ID).

 Experience with observability, monitoring, and production troubleshooting.

 Hands-on experience with security scanning and DevSecOps practices.

 Experience operating production-grade platforms in enterprise environments.

Preferred Experience

 Cloud certifications such as

o Azure Solutions Architect Expert / Azure DevOps Engineer Expert / Azure

Security Engineer o AWS Solutions Architect / DevOps Engineer – Professional o Google Professional Cloud Architect / DevOps Engineer

 Kubernetes certifications such as CKA / CKAD / CKS.

 Experience supporting large, regulated, or mission-critical environments.

 Experience in a consulting or client-facing delivery environment.

 Experience with enterprise data and analytics platforms and cloud migration programmes.

 Experience working with globally distributed engineering teams.

Personal Attributes

 Strong ownership mindset.

 Excellent troubleshooting and problem-solving capability.

 Comfortable working independently in complex, multi-client environments.

 Able to communicate clearly with engineering, security, architecture, business, and client stakeholders.

 Strong focus on automation, security, reliability, and operational excellence.

If you are interested please share your updated CV to [HIDDEN TEXT]

Required Skills

PythonAWSAzureGCPKubernetesSQLMongoDBKafkaGitCI/CD

Job Details

Employment TypeFull-Time
Work ModeOn-Site
Experience7 – 12 years
Positions1

Posted by

N/A

Posted on:

7 Oct 2026

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