Senior DevOps Engineer

Posted 6 Hours Ago
Be an Early Applicant
Hiring Remotely in India
Remote or Hybrid
Senior level
Information Technology • Database • Consulting
The Role
Design, implement, and operate enterprise-scale multi-cloud (GCP/AWS/Azure) infrastructure. Build IaC modules with Terraform/Terragrunt, manage Kubernetes platforms (GKE/EKS/AKS), create CI/CD pipelines, implement observability, security (IAM/RBAC, secrets), cost optimization, DR, and SRE practices (SLIs/SLOs, alerting, incident response).
Summary Generated by Built In

We are seeking an experienced DevOps Engineer to design, implement, and manage scalable, secure, and highly available cloud solutions across Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure.

This role requires deep expertise in multi-cloud architecture, DevOps automation, Kubernetes, observability, and infrastructure as code, with a strong focus on enterprise-scale deployments, cost optimization, and reliability engineering (SRE practices).

Key Responsibilities

Cloud Architecture & Design

  • Design and implement multi-cloud architectures across GCP, AWS, and Azure
  • Define enterprise cloud landing zones and multi-project structures
  • Build high availability, fault-tolerant, and disaster recovery (DR) solutions
  • Architect secure and scalable network topologies (VPCs, subnets, peering, hybrid connectivity)
 

Infrastructure as Code (IaC)

  • Develop reusable infrastructure modules using Terraform / Terragrunt
  • Implement modular, scalable, and DRY architecture patterns
  • Manage remote state, version control, and environment separation
  • Automate provisioning across multiple environments and projects
 

DevOps & CI/CD Automation

  • Design and manage CI/CD pipelines using: 
    • GitHub Actions / GitLab CI / Jenkins / Azure DevOps
  • Automate:   
    • Infrastructure deployments
    • Application release pipelines
  • Implement blue-green / canary deployment strategies
 

Kubernetes & Containerization

  • Manage Kubernetes platforms: 
    • GKE, EKS, AKS
  • Deploy workloads via Helm, manifests, and Kustomize
  • Troubleshoot production issues:
  • Ensure high availability and scalability of containerized applications
 

Monitoring, Logging & Observability

  • Implement centralized observability using: 
    • GCP Cloud Monitoring / AWS CloudWatch / Azure Monitor
  • Configure:   
    • Metrics, dashboards, alerting policies
    • Log-based metrics and custom alerts (CPU, memory, DB, network latency)
  • Design centralized logging architecture (logs, sinks, retention policies)
  • Enable team-based alert routing (Email, Slack, PagerDuty)
 

Security & Compliance

  • Implement IAM roles, RBAC, and least privilege access
  • Manage secrets using: 
    • Secret Manager / Azure Key Vault / AWS Secrets Manager
  • Ensure compliance with enterprise standards: 
    • ISO, SOC2, HIPAA (where applicable)
  • Implement encryption, audit logging, and access governance
 

Cost Optimization & Governance

  • Monitor and optimize cloud costs across multiple projects
  • Configure:   
    • Budget alerts
    • Billing monitoring and cost allocation models
  • Identify and implement resource optimization strategies
 

Automation & SRE Practices

  • Define and implement SLIs, SLOs, and error budgets
  • Build automated alerting and remediation workflows
  • Improve platform reliability and system uptime
  • Support incident response and root cause analysis (RCA)

Scripting knowledge on python, node.js and Golang will be added advantage


Responsibilities

We are seeking an experienced DevOps Engineer to design, implement, and manage scalable, secure, and highly available cloud solutions across Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure.

This role requires deep expertise in multi-cloud architecture, DevOps automation, Kubernetes, observability, and infrastructure as code, with a strong focus on enterprise-scale deployments, cost optimization, and reliability engineering (SRE practices).

Key Responsibilities

Cloud Architecture & Design

  • Design and implement multi-cloud architectures across GCP, AWS, and Azure
  • Define enterprise cloud landing zones and multi-project structures
  • Build high availability, fault-tolerant, and disaster recovery (DR) solutions
  • Architect secure and scalable network topologies (VPCs, subnets, peering, hybrid connectivity)
 

Infrastructure as Code (IaC)

  • Develop reusable infrastructure modules using Terraform / Terragrunt
  • Implement modular, scalable, and DRY architecture patterns
  • Manage remote state, version control, and environment separation
  • Automate provisioning across multiple environments and projects
 

DevOps & CI/CD Automation

  • Design and manage CI/CD pipelines using: 
    • GitHub Actions / GitLab CI / Jenkins / Azure DevOps
  • Automate:   
    • Infrastructure deployments
    • Application release pipelines
  • Implement blue-green / canary deployment strategies
 

Kubernetes & Containerization

  • Manage Kubernetes platforms: 
    • GKE, EKS, AKS
  • Deploy workloads via Helm, manifests, and Kustomize
  • Troubleshoot production issues:
  • Ensure high availability and scalability of containerized applications
 

Monitoring, Logging & Observability

  • Implement centralized observability using: 
    • GCP Cloud Monitoring / AWS CloudWatch / Azure Monitor
  • Configure:   
    • Metrics, dashboards, alerting policies
    • Log-based metrics and custom alerts (CPU, memory, DB, network latency)
  • Design centralized logging architecture (logs, sinks, retention policies)
  • Enable team-based alert routing (Email, Slack, PagerDuty)
 

Security & Compliance

  • Implement IAM roles, RBAC, and least privilege access
  • Manage secrets using: 
    • Secret Manager / Azure Key Vault / AWS Secrets Manager
  • Ensure compliance with enterprise standards: 
    • ISO, SOC2, HIPAA (where applicable)
  • Implement encryption, audit logging, and access governance
 

Cost Optimization & Governance

  • Monitor and optimize cloud costs across multiple projects
  • Configure:   
    • Budget alerts
    • Billing monitoring and cost allocation models
  • Identify and implement resource optimization strategies
 

Automation & SRE Practices

  • Define and implement SLIs, SLOs, and error budgets
  • Build automated alerting and remediation workflows
  • Improve platform reliability and system uptime
  • Support incident response and root cause analysis (RCA)

Scripting knowledge on python, node.js and Golang will be added advantage


Qualifications

Bachelor's/Master's

Skills Required

  • Bachelor's or Master's degree
  • Deep expertise in multi-cloud architecture across GCP, AWS, and Azure
  • Design and implement enterprise cloud landing zones and multi-project structures
  • Experience building high availability, fault-tolerant, and disaster recovery solutions
  • Design secure network topologies (VPCs, subnets, peering, hybrid connectivity)
  • Develop reusable infrastructure modules using Terraform and Terragrunt
  • Manage remote state, version control, and environment separation for IaC
  • Design and manage CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or Azure DevOps
  • Implement deployment strategies such as blue-green and canary
  • Manage Kubernetes platforms (GKE, EKS, AKS) and deploy via Helm, manifests, Kustomize
  • Troubleshoot production Kubernetes issues and ensure high availability/scalability
  • Implement centralized observability and logging using GCP Cloud Monitoring, AWS CloudWatch, or Azure Monitor
  • Configure metrics, dashboards, alerting policies, and log-based metrics
  • Implement IAM roles, RBAC, least-privilege access, encryption, and audit logging
  • Manage secrets with Secret Manager, Azure Key Vault, or AWS Secrets Manager
  • Ensure compliance with enterprise standards (ISO, SOC2, HIPAA where applicable)
  • Monitor and optimize cloud costs; configure budget alerts and billing monitoring
  • Define and implement SLIs, SLOs, error budgets, automated alerting and remediation workflows
  • Support incident response and root cause analysis (RCA)
  • Scripting knowledge in Python, Node.js, and Golang
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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.

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