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Job Title: Job Title: DevSecOps Lead / DevSecOps Engineering Manager
Experience Required: 7+ years
Location: Noida(Work From Office)
Employment Type: Full-Time
Job Summary
We are seeking a highly skilled and experienced DevSecOps Lead / DevSecOps Engineering Manager to drive secure software delivery, cloud infrastructure governance, and automation initiatives across multi-cloud environments (Azure, AWS, GCP). This role will lead the DevSecOps function, embed security throughout the SDLC, and ensure resilient, compliant, and high-performing cloud-native platforms.
The ideal candidate combines strong technical expertise in CI/CD, Kubernetes, Infrastructure as Code, and cloud security with proven leadership experience in building and mentoring high-performing engineering teams.
Key Responsibilities
Leadership & Strategy
Lead and mentor the DevSecOps team, providing technical direction grounded in secure SDLC practices.
Define DevSecOps strategy, aligning security, reliability, and deployment velocity objectives.
Drive continuous improvement initiatives to increase deployment frequency, reduce failure rates, and optimize mean time to recovery (MTTR).
Lead incident response readiness, post-incident reviews, and remediation tracking across infrastructure and applications.
CI/CD & Secure Delivery
Design, implement, and manage CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, Azure DevOps) with embedded security controls.
Integrate automated security scanning, compliance checks, and policy-as-code enforcement into pipelines.
Champion threat modeling and secure design reviews across services such as Azure Static Web Apps, Azure AI Foundry, and microservices running on GKE.
Cloud & Infrastructure Management
Oversee multi-cloud infrastructure (Azure, AWS, GCP) with focus on:
o Azure Virtual Networks and hybrid connectivity
o Azure Kubernetes Service (AKS) clusters
o Google Kubernetes Engine (GKE) workloads
o Azure Container Apps
o Cloudflare connectivity and edge security
Coordinate Cloudflare Zero Trust, WAF, and CDN policies to protect ingress points across Azure and GCP environments.
Design and manage high-availability, disaster recovery, and business continuity strategies.
Infrastructure as Code & Automation
Implement and manage Infrastructure as Code (IaC) using Terraform, CloudFormation, and Azure Bicep.
Enforce policy-as-code and governance controls.
Drive automation of manual processes using Bash, PowerShell, and Python.
Develop scripts and modules leveraging Azure CLI, gcloud CLI, AWS tooling, and cloud SDKs to deliver repeatable and auditable workflows.
Containerization & Orchestration
Manage Docker-based containerization and Kubernetes orchestration platforms including:
o AKS
o GKE
o Azure Container Apps
o Bespoke on-prem clusters
Govern Kubernetes components including kube-apiserver masters, worker nodes, etcd durability, and HAProxy front ends.
Implement container image security, runtime protection, and governance best practices.
Monitoring, Observability & Security
Establish system monitoring, logging, and alerting across:
o Azure Monitor
o GCP Cloud Operations
o Prometheus, Grafana
o ELK, Datadog
Integrate security telemetry and observability to surface reliability and risk signals.
Enforce compliance with data protection standards, regulatory requirements, and security best practices.
Required Qualifications
Bachelor's degree in Computer Science, Information Technology, or related field.
610 years of experience in DevOps, Infrastructure, or Cloud Engineering.
Minimum 5 years of leadership experience managing technical teams.
Hands-on expertise with:
o Azure, AWS, and GCP cloud platforms
o AKS, Azure Virtual Network, Azure Container Apps, Azure Static Web Apps
o Google Kubernetes Engine (GKE)
o Cloudflare edge security
o CI/CD tooling with pipeline security integration
o Infrastructure as Code (Terraform, CloudFormation, Azure Bicep)
o Configuration management (Ansible, Chef, Puppet)
o Docker and Kubernetes (including control-plane, worker nodes, etcd, HAProxy)
Strong scripting skills in Bash, PowerShell, and Python.
Experience with observability stacks (Prometheus, Grafana, ELK, Datadog).
Solid understanding of networking, application security, and distributed system architecture.
Proven track record implementing DevSecOps best practices, vulnerability management, and secure coding initiatives.
Preferred Qualifications
Professional certifications such as:
o Azure DevOps Expert
o Google Cloud DevOps Engineer
o AWS DevOps Engineer Professional
Experience with microservices architectures and service mesh security.
Exposure to SRE practices (error budgets, reliability risk management).
Experience designing high-availability and disaster recovery architectures.
Practical exposure to Azure AI Foundry or similar AI platforms with governance over model security and data privacy.
Soft Skills
Strong leadership with experience building high-performing cross-functional teams.
Excellent analytical and problem-solving abilities in complex security-focused environments.
Clear, persuasive communication with technical and non-technical stakeholders.
Ability to thrive in fast-paced, agile environments while balancing risk, compliance, and delivery velocity.
Think global. Think BIG.
Visit us: https://biglanguage.com
Linkedin: https://www.linkedin.com/company/big-language-solutions/mycompany/
Job ID: 142729669