AWS DevOps Engineer

5 days ago

pune, India LTIMindtree Full time
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.

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