Location
Gurgaon | India
Job description
Devsecops Engineer
Location: Gurgaon
Exp : 8 to 12 Years
Must have:
- AWS/Azure/GCP
- Ci/Cd
- Docker/Kubernetes
- MLops
- Exp with Ci/Cd tools and methodologies; Scriptinf languages like Python/bash
- Exp with Devops/Devsecops in a Cloud Based environment
Additional Skills:
- Communication Skills
- Stakeholder Management
Responsibilities:
- Collaborate with crossfunctional teams to automate and streamline software development and operations processes using best practices.
- Develop maintain and improve CI/CD pipelines for efficient code deployment and release management.
- Design and implement infrastructure as code (IaC) solutions using tools like Terraform Ansible or CloudFormation.
- Ensure the availability scalability and reliability of production systems by implementing monitoring logging and alerting mechanisms.
- Collaborate with development teams to promote a DevSecOps culture by integrating security practices into the software development lifecycle
- Conduct regular security assessments to identify vulnerabilities and recommend remediation measures.
- Collaborate with Data Science teams to build and deploy machine learning models in a production environment.
- Implement MLOps best practices for model versioning validation deployment and monitoring.
- Work closely with infrastructure and cloud service providers to optimize performance cost and resource utilization.
Requirements:
- Bachelors degree in Computer Science Engineering or a related field.
- Proven experience as a DevOps or DevSecOps Engineer in a cloudbased environment (e.g. AWSAzure GCP).
- Strong knowledge of CI/CD tools and methodologies (e.g. Jenkins Git Bitbucket GitLab).
- Proficiency in scripting languages (e.g. Python Bash) and infrastructureascode tools (e.g. Terraform Ansible).
- Experience implementing security practices including vulnerability assessments penetration testing and security incident response.
- Familiarity with containerization technologies (e.g. Docker Kubernetes) and related tools (e.g.Helm Rancher).
- Previous experience deploying and monitoring machine learning models in a production environment.
- Understanding of MLOps principles including model versioning validation deployment and monitoring.
- Strong problemsolving skills and the ability to handle multiple tasks and deadlines simultaneously.
- Excellent communication and collaboration skills to work effectively with crossfunctional teams.
cd,devsecops,aws,code,infrastructure,cloud
Job tags
Salary
