Junior DevOps Engineer
Eon Onebyte
12.2023 - Current
- I have accumulated one year of valuable professional experience during my tenure at Eon-Onebyte, where I actively contributed to various projects and enhanced my skills in the field
- Improved system stability by implementing automated monitoring and alerting tools.
- Streamlined deployment processes for increased efficiency and reduced downtime.
- Enhanced code quality with thorough peer reviews and adherence to industry best practices.
- Translated technical concepts and information into terms parties could easily comprehend.
- Corrected, modified and upgraded software to improve performance.
- Documented software development methodologies in technical manuals to be used by IT personnel in future projects.
- I have extensive experience with AWS, including EC2, S3, VPC, ELB, Autoscaling, IAM, CloudFront, SNS, SQS, and RDS
- I used these services to build secure, highly scalable, and flexible systems that could handle both expected and unexpected load bursts
- I actively managed, improved, and monitored the cloud infrastructure on AWS
- I have experience planning, building, and configuring VPC network infrastructure
- I have configured subnets, route tables, security groups, internet gateways and NACLs to ensure the security and VPC Peering to enable seamless communication between separate VPCs
- I handled various S3 tasks, including creating buckets, hosting static websites, implementing Cross-Region Replication, enabling Versioning, managing access policies, and archiving outdated data to Glacier using Lifecycle policies
- I optimized costs by using S3 lifecycle policies to automatically transition data to different storage classes based on requirements
- I created AMIs and snapshots of EBS Volumes in multiple regions for disaster recovery
- I implemented AWS autoscaling and load balancing for high-traffic web applications
- I designed and implemented multi-AZ architecture with redundant load balancers for high availability and fault tolerance
- Configured scaling policies to trigger autoscaling based on CPU and network metrics
- Monitored and optimized autoscaling and load balancing with CloudWatch for optimal availability, scalability, and cost-efficiency
- I optimized my DevOps workflow using GitHub, Docker, Jenkins, Kubernetes, and Terraform
- With Git, I managed code and implemented code quality checks
- Docker facilitated easy application environment creation and management
- Jenkins enabled Continuous Integration and End-to-End automation for builds and deployments
- I leveraged Kubernetes to scale containerized applications and used YAML files for deployment
- Terraform helped provision and manage EC2 instances efficiently, with reusable infrastructure code.
