DevOps Engineer

Job Description

Roles & Responsibilities

Cloud Infrastructure Management:

• Design, implement, and manage scalable infrastructure on AWS or GCP to support enterprise applications and services.
• Ensure cloud resources are properly provisioned and optimized for cost, performance, and security.
• Implement infrastructure-as-code (IaC) using tools such as Terraform, CloudFormation, or Deployment Manager.

Continuous Integration and Continuous Deployment (CI/CD):

• Develop and maintain CI/CD pipelines using tools like Jenkins, GitLab CI, AWS CodePipeline, and Google Cloud Build.
• Automate application deployment processes across multiple cloud environments, ensuring a smooth and reliable release cycle.
• Implement automated testing to ensure high-quality code deployment and reduce manual intervention.

Monitoring & Logging:

• Implement monitoring, logging, and alerting solutions using AWS CloudWatch, Google Stackdriver, and third-party tools like Prometheus, Grafana, and ELK Stack.
• Analyze and troubleshoot performance issues, security breaches, and system failures, providing timely solutions.
• Set up dashboards and metrics to track application health and performance in both AWS and GCP.
Security & Compliance:
• Implement security best practices in cloud environments, including access control, encryption, and vulnerability assessments.
• Work with the security team to ensure compliance with industry standards and regulations (e.g., GDPR, SOC 2, HIPAA).
• Automate security-related tasks such as patch management, firewall configurations, and intrusion detection.
Automation & Scripting:
• Develop and maintain automation scripts using Python, Bash, Shell, or other scripting languages to manage infrastructure, deployments, and monitoring.
• Implement self-healing infrastructure using automation tools to ensure uptime and reliability.
Collaboration & Documentation:
• Collaborate with developers, system administrators, and IT teams to ensure smooth integration and deployment processes.
• Create and maintain clear, concise documentation on infrastructure architecture, CI/CD pipelines, cloud configurations, and DevOps processes.
Performance Tuning & Cost Optimization:
• Analyze cloud resource utilization, and recommend and implement cost-saving strategies (e.g., using reserved instances, optimizing resource scaling).
• Optimize cloud resource performance, and reduce latency for enterprise applications.
AWS (Amazon Web Services)- Not required if GCP is expertise
• Infrastructure Management: Design, implement, and maintain scalable, secure, and highly available infrastructure using AWS services such as EC2, ELB, RDS, Lambda, VPC, and more.
• Automation: Lead the automation of infrastructure provisioning and configuration management using tools like Terraform, Ansible, CloudFormation, or similar.
• CI/CD Pipeline Development: Develop, enhance, and manage CI/CD pipelines using Jenkins, GitLab CI, or AWS CodePipeline to enable fast, secure, and reliable software deployments.
• Monitoring & Logging: Implement and maintain monitoring, alerting, and logging systems using AWS CloudWatch, Prometheus, Grafana, or other monitoring tools.
• Security: Ensure cloud security best practices, including identity and access management (IAM), encryption, and compliance with industry standards.
GCP (Google Cloud Platform) - Not required if AWS is expertise
• Infrastructure Management: Design, implement, and manage GCP infrastructure services including Compute Engine, Kubernetes Engine (GKE), Cloud Storage, Cloud SQL, Pub/Sub, and more.
• Automation: Automate infrastructure provisioning, management, and scaling using tools such as Terraform, Cloud Deployment Manager, or Ansible.
• CI/CD Pipeline Development: Build, maintain, and optimize CI/CD pipelines using tools like Jenkins, GitLab CI, or GCP-native solutions (Cloud Build, Cloud Deploy).
• Monitoring & Logging: Implement monitoring and logging frameworks using Google Cloud’s Stackdriver, Prometheus, or similar tools to ensure system health and performance.
• Security: Enforce best practices for cloud security, including IAM roles and policies, encryption, network security, and regulatory compliance (GDPR, HIPAA, etc.).
• Disaster Recovery: Design and implement disaster recovery plans, ensuring system reliability and fault tolerance.

Requirements

AWS
• Experience: 3+ years of experience in DevOps, with at least 2-3 years working in an AWS environment.
• Certifications: AWS Certified DevOps Engineer, AWS Certified Solutions Architect, or equivalent certifications are a plus. Google Cloud Professional DevOps Engineer certification or other relevant GCP certifications are highly preferred.
• AWS Expertise: Deep understanding of AWS services (EC2, S3, RDS, VPC, Lambda, CloudFormation, etc.).
• Automation Tools: Proficient with infrastructure automation tools like Terraform, Ansible, or AWS CloudFormation.
• CI/CD: Strong knowledge of CI/CD pipelines and associated tools (Jenkins, GitLab CI, AWS CodePipeline).
• Scripting: Proficient in scripting languages like Python, Shell, or Bash.
• Containerization: Experience with Docker and container orchestration platforms like Kubernetes or ECS.
• Version Control: Strong experience with Git and version control workflows.
• Security Best Practices: Knowledge of cloud security best practices, IAM policies, encryption, and compliance.
• Troubleshooting: Strong problem-solving skills with a focus on troubleshooting production issues and providing solutions under pressure.
Monitoring & Logging:
• Implement monitoring, logging, and alerting solutions using AWS CloudWatch and third-party tools like Prometheus, Grafana, and ELK Stack.
• Analyze and troubleshoot performance issues, security breaches, and system failures, providing timely solutions.
GCP
• Experience: 3+ years in a DevOps role with at least 2-3 years of hands-on experience with Google Cloud Platform (GCP).
• GCP Expertise: Deep knowledge of GCP services such as Compute Engine, Kubernetes Engine (GKE), Cloud Functions, Pub/Sub, Cloud Storage, CloudSQL, BigQuery, etc.
• Automation Tools: Proficiency with automation tools like Terraform, Cloud Deployment Manager, or Ansible for infrastructure as code.
• CI/CD: Extensive experience in developing, deploying, and maintaining CI/CD pipelines using tools such as Jenkins, GitLab CI, or Google Cloud Build.
• Scripting: Strong proficiency in scripting languages like Python, Shell, Bash, or similar.
• Containerization: Experience with Docker and container orchestration technologies like Kubernetes (GKE) and Helm.
• Version Control: Expertise in using Git for version control and familiarity with Git-based workflows.
• Security Best Practices: Strong understanding of cloud security, including IAM, encryption, identity federation, and secure networking.
• Monitoring & Observability: Experience with monitoring platforms such as Stackdriver, Prometheus, and Grafana, and managing alerts and logs effectively.
• Troubleshooting: Excellent problem-solving skills, with the ability to diagnose and resolve infrastructure issues under pressure.
Preferred Skills & Qualifications
• Experience with Serverless: Experience with AWS Lambda, AWS API Gateway, and serverless architecture. Familiarity with GCP serverless offerings such as Cloud Functions and Cloud Run.
• Agile Methodology: Familiarity with Agile methodologies and working in an Agile environment.
• Database Management: Familiarity with DynamoDB, or other cloud database solutions like Cloud SQL and BigQuery.
• Azure Knowledge: Familiarity with Azure services such as Azure Virtual Machines, Azure Blob Storage, Azure Kubernetes Service (AKS), and Azure Active Directory will be a plus.

What we offer you

Flexible Working

Competitive Compensation

Insurance Benefits

Training & Mentoring

Frequent Celebrations

Home Office Allowance

Paid Leave Benefits

Retirement Benefits

Partial Course Funding

Team Building Activities