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AWS DevOps Engineer
3 months ago
Job description:
LTIMindtree is hiring highly skilled AWS DevOps Engineer with a strong background in Python to join our growing team. You will play a critical role in managing and optimizing our AWS infrastructure, developing CICD pipelines, and automating processes to enhance the efficiency and reliability of our software development lifecycle. This position requires a solid understanding of AWS services, DevOps methodologies, and Python scripting.
About the Role:
Key Responsibilities
- AWS Infrastructure Management:
- Design, deploy, and manage scalable, secure, and reliable cloud infrastructure on AWS.
- Implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or AWS CDK.
- Optimize cloud costs and resource usage while maintaining performance and security.
- CICD Pipeline Development:
- Build, maintain, and enhance CICD pipelines using AWS services like CodePipeline, CodeBuild, and CodeDeploy.
- Automate deployment processes to ensure seamless delivery of code to production.
- Integrate automated testing, monitoring, and alerting into the CICD pipelines.
- Automation Scripting:
- Develop and maintain automation scripts and tools in Python to streamline workflows and improve efficiency.
- Automate routine tasks including environment provisioning, deployments, and monitoring.
- Collaboration Support:
- Collaborate with development teams to ensure best practices in DevOps and cloud infrastructure.
- Provide support in troubleshooting and resolving issues related to infrastructure and deployments.
- Educate and guide teams on the effective use of AWS services and DevOps practices.
- Security, Networking, Compliance:
- Implement and enforce security best practices within the AWS environment.
- Strong understanding of networking concepts (e.g., VPC, Load Balancing, NACL) using different networking services of AWS.
- Ensure compliance with industry standards and internal policies.
- Continuous Improvement:
- Stay updated on the latest AWS services, DevOps trends, and best practices.
- Machine Learning (Optional):
- Different types of Machine Learning techniques such as Supervised, Unsupervised, Classification, Regression.
- Pipeline of Machine Learning Development Process.
- Evaluation of Machine Learning Models and how to address Overfitting/Underfitting.
Qualifications:
Key Qualifications
- Education: Bachelors degree in Computer Science, Information Technology, or a related field.
- Experience:
- 6-8 years of experience in DevOps with a focus on AWS cloud services.
- Proficiency in Python for automation scripting and tool development.
- Strong experience with AWS DevOps tools and services including but not limited to EC2, S3, Lambda, CloudFormation, CodePipeline, and RDS.
- Experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or AWS CDK.
- Solid understanding of CICD practices and tools.
- Experience with containerization technologies like Docker and Kubernetes is a plus.
- Skills:
- Strong knowledge of AWS cloud architecture and services.
- Proficient in Git and version control systems.
- Familiarity with monitoring tools such as CloudWatch, Prometheus, or Grafana.
- Knowledge of configuration management tools like Ansible or Chef.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
Preferred Certifications:
- AWS Certified DevOps Engineer
- AWS Certified Solutions Architect
- Any relevant Python certifications
Equal Opportunity Statement:
Include a statement on commitment to diversity and inclusivity.
