Responsibilities
- Experience building infrastructure as code / serverless AWS environments.
- Automate operational and server provisioning workflows using Gitlab/Ansible/Kubernetes/CloudFormation.
- Code and automate repetitive tasks, processes using scripting languages bash/python.
- Own the responsibility for deploying releases and conducting other operations maintenance.
- Communicate with the rest of the Engineering for rolling out broad changes.
- Enhance operations infrastructure such as Jenkins clusters, Gitlab, monitoring tools (Rollbar, Sentry), metrics tools such as Grafana/CloudWatch, Logging &Analytics tools such as SumoLogic/LogDNA/Prometheus.
Requirements
- Good understanding of virtualization, networking, databases, message queueing, etc.
- 2+ years of experience in AWS.
- 1+ years experience with Docker and Lambda
- 2+ years experience with common build and deployment (CI/CD) tools and practices
- Experience with log analysis and monitoring tools such as Grafana, Splunk, ElasticStack, etc.
- EC2, VPC, RDS, Route53, ELB, Lambda, Direct Connect, Kinesis, CloudWatch .
- Familiarity with standard IT security practices such as encryption, certificates, and key management
- Exposure to operating Postgres, Redis.
- Experience working in AWS production environments.
Data source
Stack Overflow