Python
Amazon Web Services (AWS)
Machine 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.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Texila American University
About
We are proud to offer the best online courses in a range of disciplines including healthcare, medicine, management, and research. Texila Educare Healthcare and Technology Enterprises Private Limited offers courses for professionals with over 20 years' of experience teaching students all around the world.
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