Job Description

Summary

The Cloud DevOps Engineer primary responsibilities will be defining and provisioning infrastructure resources using code, enabling automated and repeatable deployments. This eliminates manual configuration, reduces errors, and ensures consistency across environments. Cloud DevOps Engineers must be proficient in tools like Terraform, CloudFormation, GCP, and Azure Resource Manager to define infrastructure components such as virtual machines, networks, storage, and databases.

Furthermore, they are responsible for automating various aspects of the software development lifecycle, including build processes, testing, and deployments. Automation streamlines workflows, accelerates delivery times, and improves overall efficiency. This often involves scripting using languages like Python, Bash, or PowerShell, and integrating with automation platforms such as Ansible, Chef, or Puppet. A Cloud DevOps Engineer should have a deep understanding of automation principles and the ability to design and implement automated solutions that meet specific business requirements. By leveraging automation, Cloud DevOps Engineers enable organizations to achieve greater agility, scalability, and resilience in their cloud environments.

Need to have hands-on experience across multi-cloud environments ( Azure, GCP) and extensive expertise in DevOps automation, CI/CD pipeline management, infrastructure-as-code (IaC), containerization, and cloud security.

The ideal candidate will be responsible for building, managing, and optimizing DevOps pipelines, driving innovation, and introducing new solutions to streamline our cloud and DevOps processes. This role requires a deep understanding of cloud architecture, automation, microservices, and security best practices to support scalable and resilient cloud-based applications.

Essential Functions

• Automated Provisioning - CI/CD automates testing, reducing manual checks. This ensures quicker feedback. Develop and maintain a comprehensive security architecture covering on-premises, cloud, and hybrid environments.
• Consistency -ensuring consistent environments across development stages. This reduces errors during deployment. Design security solutions that align with business objectives while mitigating risk.
• Real-time Monitoring - Cloud monitoring provides real-time insights into system performance. Version Control - Infrastructure configurations are version-controlled. This enables tracking and reverting changes easily. Ensure Zero Trust principles, network segmentation, and security best practices are enforced across the enterprise.
• Proactive Issue Detection - Identify and resolve potential issues. This can be done before they impact users. Architect cloud security strategies, leveraging best practices for Azure and GCP.
• Centralized Logging - Centralized logging helps aggregate and analyze logs. Logs are collected from different sources. Lead security investigations, conduct root cause analysis, and document incident response actions.
• Configuration Management - Scripting tools manage configurations. They ensure consistency. Provide threat intelligence and recommend proactive security measures to mitigate risk.
• Infrastructure Orchestration - Orchestration tools automate infrastructure setup. This streamlines processes. Implement and maintain cloud security controls in Azure and GCP.
• Security Policies - Implementing security policies to protect data and systems. Optimize cloud security solutions for web and network protection.
• Access Control - Managing access control to limit unauthorized access. This is essential for security. Ensure Active Directory (AD) and IAM policies align with best practices.
• Cross-functional Teams - Working with development, operations, and security teams.
• Documentation - Creating and maintaining clear documentation for processes. Oversee the continuous best practice is leveraged for data classification policies and enforce data protection controls.

Additional Functions

• Cloud Infrastructure & Automation:
• Design, build, and manage secure, scalable, and high-availability cloud environments across AWS, Azure, and GCP.
• Develop and maintain Infrastructure-as-Code (IaC) solutions using Terraform, CloudFormation, Pulumi, and Ansible.
• Implement multi-cloud strategies, hybrid cloud deployments, and cloud networking solutions.
• Optimize cloud costs through monitoring, auto-scaling, and resource provisioning techniques.
• DevOps & CI/CD Pipeline Management:
• Architect, implement, and maintain CI/CD pipelines using tools like Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, and AWS CodePipeline.
• Automate build, test, deployment, and rollback processes for applications and infrastructure.
• Ensure secure DevOps practices, including secrets management, policy-as-code, and automated compliance.
• Integrate observability, logging, and monitoring solutions within the pipeline (e.g., ELK, Prometheus, Grafana, Datadog, New Relic).
• Containerization & Kubernetes:
• Deploy and manage containerized applications using Docker and Kubernetes (EKS, AKS, GKE).
• Implement Kubernetes security best practices, monitoring, and autoscaling.
• Automate Kubernetes deployments using Helm, Kustomize, and GitOps tools like ArgoCD and Flux.
• Security & Compliance in Cloud and DevOps:
• Ensure cloud security best practices by implementing IAM, RBAC, security groups, and encryption.
• Deploy security tools such as AWS Security Hub, Azure Security Center, Prisma Cloud, and GuardDuty.
• Manage identity and access controls for DevOps tools and cloud services.
• Conduct regular security assessments and vulnerability management across cloud workloads.
• Observability, Performance, & Reliability Engineering:
• Implement SRE (Site Reliability Engineering) principles to improve system reliability and incident response.
• Develop and integrate logging and monitoring solutions using Prometheus, Grafana, Datadog, Splunk, or ELK.
• Build automated alerting and response mechanisms for cloud and DevOps environments.
• Implement chaos engineering to improve system resilience and fault tolerance.
• Innovation & Continuous Improvement:
• Continuously evaluate new DevOps and cloud technologies to improve efficiency and scalability.
• Automate repetitive tasks and enhance self-service capabilities for development teams.
• Participate in architecture discussions, design reviews, and proof-of-concept (PoC) implementations.
• Lead DevOps culture adoption across teams by driving best practices and training initiatives. Conduct threat modeling, risk assessments, and security reviews for applications, infrastructure, and networks.

Qualifications

• 7-10 years of hands-on experience in Cloud & DevOps Engineering roles.
• Expertise in multi-cloud environments (Azure and GCP).
• Deep understanding of DevOps methodologies, CI/CD pipeline design, and automation.
• Strong experience with Terraform, Ansible, CloudFormation, and Kubernetes.
• Proficiency in Jenkins, GitHub Actions, GitLab CI/CD, and Azure DevOps.
• Hands-on experience with Docker, Kubernetes (EKS, AKS, GKE), Helm, and GitOps (ArgoCD, Flux).
• Knowledge of cloud security, IAM, RBAC, and compliance frameworks (SOC2, NIST, ISO 27001).
• Proficiency in scripting and automation using Python, Bash, PowerShell, or Go.
• Experience with observability tools like Prometheus, Grafana, ELK, and Datadog.

Working Conditions & Physical Demands

This position requires in person office presence at least 4x a week.

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