Devops Engineer & Cloud AWS engineer

Summary

With a degree in Big Data and Cloud Computing(Bac+5), I bring a year of experience as a DevOps Engineer at CAPGEMINI, primarily in AWS Cloud environments. My expertise includes setting up AWS infrastructure, automating workflows using Terraform, CloudFormation, Ansible, and developing scripts in Bash. I've managed AWS services like EC2, RDS, S3, and implemented monitoring with CloudWatch, Grafana, and Prometheus. My role at SQLI involved integrating security in CI/CD pipelines, while at Digiwise, I focused on big data models and predictive analytics.
My diverse skill set is testament to my adaptability and eagerness to contribute to evolving tech landscapes.

Expectations

Considering my extensive background in DevOps, cloud computing, and big data, I am seeking a role that presents complex, innovative challenges that leverage my skill set. I aim to join a team that values collaboration and continuous learning, where I can both contribute and expand my knowledge in cutting-edge cloud and big data technologies. Professional growth is important to me, so I look for opportunities that offer clear pathways for career advancement. I am drawn to companies with a forward-thinking culture that are leaders in technological advancements. Additionally, maintaining a healthy work-life balance is crucial, so I appreciate environments that support flexibility and prioritize employee well-being.

Employment Preferences

Expected Base Salary

**,000 EUR

Academic Degree

Security Clearance Level

Experience

Skills

• DevOps Skills
• Proficiency In CI
• CD
• Docker
• Kubernetes
• Terraform
• Ansible
• Jenkins
• Git
• Travis
• AWS
• Azure DevOps.
• Cloud Technologies
• Expertise In AWS Services Like EC2
• CloudWatch
• CloudFormation
• SNS
• Lambda
• Cognito
• SQS
• API Gateway
• Route 53
• VPC
• ELB
• IAM
• DynamoDB
• DocumentDB
• S3
• ECS
• ECR
• ACM.
• Big Data Technologies
• Hadoop
• HDFS
• MapReduce
• YARN
• Hive
• Spark
• Impala
• Zookeeper
• MongoDB.
• Data Science
• In Machine Learning
• Deep Learning
• Data Visualization Tools Like Tableau
• Grafana.
• Programming Languages
• Skilled In Python
• Java
• C
• JavaScript
• Bash Scripting.
• Administration Skills
• Basic Knowledge In Networking
• Security
• Operating Systems Like Linux
• CentOS
• Ubuntu
• Windows