In this role, the engineer will be working with very large-scale, highly-available Big Data platform supporting multi-Petabytes of data with super-linear growth. Candidate should have a “build-to-manage”, problem-solving and innovative mindset applied to the design, build, test, deploy, change and maintenance of enterprise class applications drawing from deep engineering expertise. Key measures of success will include platform stability, effective integration and delivery, instrumentation, release quality, technical debt reduction, development of automation, risk/security compliance, and sustained advancement of the SRE practice.
Responsibilities
- As a member of this team, he/she will have the opportunity to solve challenging problems across a broad range of technologies.
- He/She will have hands on experience working for very large scale systems.
- 5+ years of hands-on experience with one or more programming languages: Java, Python, Node, Go or Ruby
- Full-stack experience. Frontends using Python or Javascript along with frameworks (Flask, ReactJS, Angular, etc) as well as backends using different stacks (PHP Symphony, NodeJS, Express, etc).
- Demonstrated experience with relational databases: MySQL, Postgres, etc
- 3+ years of hands-on experience with Kubernetes
- Experienced professional with a deep experience with cloud providers such as AWS or GCP
- Experience with at least one of these monitoring systems: AppDynamics, Grafana, Kibana, Prometheus, InfluxDB
- Experience with build automation, source control and CI/CD tools (ArgoCD, GitHub, Artifactory, Jenkins, Spinnaker, etc)
- Linux configuration, deployment and troubleshooting.