Shivanshu Gour
Bhopal
Summary
Highly motivated SRE/DevOps Engineer with one year of experience in designing and implementing cloud-based infrastructure, automating deployment pipelines, and ensuring high availability of applications. Possess a deep understanding of AWS services, CI/CD tools, and monitoring technologies. Experience working in Agile environments and collaborating with cross-functional teams to achieve business objectives.
Overview
2
2
years of professional experience
Work History
Site Reliability Engineer / DevOps Engineer
Bottomline Technologies
09.2022 - Current
- Designed and implemented cloud-based infrastructure using Terraform and Ansible, resulting in cost savings of 30%
- Automated deployment pipelines using GitLab CI/CD and Jenkins, reducing deployment time by 50%
- Developed monitoring and alerting solutions using ELK Stack( Elastic logstash kibana), Grafana, Prometheus, puppet, Open Telemetry, Docker, Kubernetes resulting in improved uptime and availability of applications
- Working on AWS (Amazon Web Services) including S3 Bucket, cloudwatch, EKS ECS cluster, Lambda function, etc
- Written python code and deployed internal products warden and chimera
- All members of the company currently use that
- Participated in on-call pagerduty rotations and provided support for production incidents.
Software Engineer
Persistent Systems
02.2022 - 08.2022
- Developed and maintained web applications using Python and Django frameworks
- Collaborated with the team to design and implement front-end interfaces using HTML, javascript and CSS3
- Implemented RESTful APIs to enable seamless communication between the front-end and back-end components.
- Utilized Git for version control and worked on databases like Oracle, and Mysql using SQL
Education
Bachelor of Technology (B.Tech) - Computer Science
07.2022
Skills
- Python
- Docker, Kubernetes
- Terraform
- Elastic Stack (ELK),
- Amazon Web Services
- Linux
- Grafana
- Jenkins, GitLab CI-CD,
- Django,
- HTML, CSS,
- Prometheus
- Puppet
- SQL
Personal Projects
FACE MASK DETECTION
This application utilizes a camera to detect if a person is wearing a mask or not on machine learning algorithms. Technologies : OpenCV, keras, tensorflow, scipy using Deep Learning and Computer Vision concepts in order to detect face masks in static images as well as in real-time video streams
Music Player App
In our Music Player App we have divided the code into 3 modules or .py files called Model.py, View.py and Player.py. • Technologies Used : Python, GUI, Oracle, Flask • Impact : Increased streaming and listening of music by 60 percent on computers/laptop.
Timeline
Site Reliability Engineer / DevOps Engineer - Bottomline Technologies
09.2022 - Current
Software Engineer - Persistent Systems
02.2022 - 08.2022
Truba Group of Institutes - Bachelor of Technology (B.Tech), Computer Science
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