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Texila American University
S LakshmiMarudhu
Posted by S LakshmiMarudhu

Coimbatore · 6 - 9 years · ₹12L - ₹18L / yr · Profitable · Posted 23 Feb 2026

skill iconPython
skill iconAmazon Web Services (AWS)
GPU
Deployment management
skill iconMachine Learning (ML)

Job Title: Deployment Lead (Python, Linux, AWS) 

Location: Coimbatore



Overview 

We are seeking an experienced Deployment Lead to oversee the end-to-end deployment lifecycle of our applications and services. The ideal candidate will have deep expertise in Python, strong Linux administration skills, and hands-on experience with AWS cloud infrastructure. You will work closely with engineering, DevOps, QA, and product teams to ensure reliable, repeatable, and scalable deployments across multiple environments. 


 

Key Responsibilities 

  • Lead and manage deployment activities for all application releases across development, staging, and production environments. 
  • Develop and maintain deployment automation, scripts, and tools using Python and shell scripting. 
  • Own and optimize CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI, or AWS CodePipeline). 
  • Oversee Linux server administration, including configuration, troubleshooting, performance optimization, and security hardening. 
  • Design, implement, and maintain AWS infrastructure (EC2, S3, Lambda, IAM, RDS, ECS/EKS, CloudFormation/Terraform). 
  • Ensure robust monitoring, logging, and alerting using tools such as CloudWatch, Grafana, Prometheus, or ELK. 
  • Collaborate with developers to improve code readiness for deployment and production reliability. 
  • Manage environment configurations and ensure consistency and version control across environments. 
  • Lead incident response during production issues; conduct root-cause analysis and implement long-term fixes. 
  • Establish and enforce best practices for deployment, configuration management, and operational excellence. 


 

Required Skills & Qualifications 

  • 5+ years of experience in deployment engineering, DevOps, or site reliability engineering roles. 
  • Strong proficiency in Python for automation and tooling. 
  • Advanced experience with Linux systems administration (Ubuntu, CentOS, Amazon Linux). 
  • Hands-on work with AWS cloud services and infrastructure-as-code (CloudFormation or Terraform). 
  • Experience with containerization technologies such as Docker and orchestration platforms like ECS, EKS, or Kubernetes
  • Strong understanding of CI/CD tools and automated deployment strategies. 
  • Familiarity with networking concepts: DNS, load balancers, VPCs, firewalls, VPN, and routing. 
  • Expertise with monitoring, alerting, and logging solutions. 
  • Strong problem-solving and analytical skills; able to lead troubleshooting efforts. 
  • Excellent communication and leadership abilities. 


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