Senior DevOps Engineer

4 weeks ago

Udaipur, India GKM IT Full time

Company Introduction -
GKM IT is an outsourcing company specializing in product development and technical consulting.
We are consultants covering all aspects of product development - design, backend, frontend, mobile, digital, DevOps, etc. Our global presence can be found in Silicon Valley, Europe, Australia and India. The major domains we specialize in are - Fintech, Edutech, HealthCare, and Hospitality.

Responsibilities:
Excellent knowledge of Azure and AWS cloud services
Design, implement, and manage fully automated CI/CD pipelines for automated build, test, and deployment processes using Jenkins, Github-Actions, Azure-Devops
Experience working on Linux based infrastructure & good understanding of troubleshooting, scripting, network, storage, tiered application environments, caching layer, DB layer etc.
Build and maintain highly available production systems (RTO and RPO with Disaster recovering planning)
Utilize AWS and Azure services to provision, configure, and maintain infrastructure components
Implement containerization using Docker for efficient deployment and scaling / Orchestration of applications ( ECS, Fargate / EKS / AKS / Self-managed Kubernetes)
Perform root cause analysis for production issues of application and infrastructure
Manage and optimize different databases (Cloud-Managed and self-managed) for performance and scalability
Monitor system performance, reliability, and security, troubleshoot and resolve issues as they arise.
Automate Infrastructure deployment using Terraform, CloudFormation, Azure Resource Manager, AWS-CDK Working with the Dev team to have an in-depth understanding of the application architecture and its bottlenecks
Required Skills:
Linux - Strong knowledge of Linux / Process management / System Administration / Network Troubleshooting (telnet / netstat / ping / nmap / ngrep / nslookup / tcpdump / trace-route) / File system and disk management / DNS / IP-Addressing, subnetting, masking /
Scripting - Bash (Different type of automation and backups) / groovy / python scripting
Terraform - Must require implementation of highly available, scalable and fault tolerant multi-tier Azure and AWS environments spanning across multiple availability zones using Terraform (including terraform-workspace for different environment)
DR - Strong understanding of RTO and RPO with Disaster recovering planning and implementation to achieve zero-downtime deployment solutions (Setup alerting and monitoring for service downtime and proper actions against it)
Docker - Excellent knowledge of microservice architecture, docker, docker-compose, Networking, storage, Dockerization of different application stacks.
Jenkins - Excellent knowledge of Jenkins and CI/CD process (Including Master-slave architecture, Scripted and declarative pipelines, tools integrations, RBAC for user management, parameterized and schedule jobs, share library), Github-Actions knowledge would be a plus
Database - Experience in database management and optimization (Creation / Administration / debugging and Monitoring) —> Postgres, Mysql, MongoDB, Redis (Both on-prem and Cloud-services like RDS, DynamoDB, Elasticache or Azure managed Databases)
Ansible - Experience with Ansible and roles for different kind of automation, configuration management, server setup, patching etc
Monitoring - Good Experience with Prometheus, Gharana, Cloudwatch / Graylog any equivalent stack or tools
Logging - grafana-Loki-promtail, ELK or any equivalent stack or tools
Web and Proxy servers - Proficient in configuring and optimizing web servers and reverse proxy servers (Nginx, Apache, HaProxy)
Security and Compliance - Knowledge of Compliance and security practices for both Azure and AWS
Dive deep into the software stack to troubleshoot and resolve issues related to application development, deployment, and operations.
Performance tuning, monitoring, maintaining fault-tolerant/HA infrastructure to deliver highly scalable services

Cloud Knowledge
1) Azure
Must have experience with azure services like -
Active Directory
Virtual Network
Virtual Machine and scale sets
load balancer and App-Gateway
Web apps / App-service
Containers-apps
Functions
Storage Account and Blobs
Databases for Postgres and Mysql
Computer Vision / Azure-Open-AI
cognitive service
Azure Kubernetes service - Including setup with terraform, Deployment best practices (Helm Charts and ArgoCD), logging and monitoring setup, security, scalability, Rolling updates and rollback strategies to maintain application availability, audit and update the Cluster with latest versions.
Good experience with Azure-Devops pipelines for deployments and automations tasks

2) AWS
IAM (Users, Groups, Policies, Roles)
VPC (NAT, Subnet, IGW, Security-groups, NACL, Endpoint-service, Peering)
EC2, Auto-scaling
S3, RDS, EFS, Elasticache, RedShift
ALB, NLB, Transit-Gateway
ECS (Fargate and EC2), EKS(Including deployment best practices with add-ons)
CloudFront (CDN), Route53
ServerLess (Lambda, DynamoDB, API-Gateway, EventBridge)
SNS, SES, SQS
AWS-DevOps (Code-pipeline, Code-deploy)
CloudTrail, CloudWatch
AWS-CLI (Automation)
Control Tower, Landing-Zone, AWS-SSO

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