DevOps Engineer, Health Tech at Doctor on Demand (San Francisco, CA)
We’re looking for an engineer with strong unix skills who is able to apply software development best practices to automating the deployment of our infrastructure. The DevOps team is responsible for ensuring the reliability of our hosted applications in addition to providing tools engineers can use to efficiently test and deliver high quality code to production. A successful candidate is a self-sufficient engineer comfortable working on a small team who can evaluate new technology and work with the larger engineering group to implement highly-available services.
Responsibilities:
Collaborate with the engineering team to improve the continuous delivery pipeline
Deploy tools for collecting, aggregating and alerting on server/application metrics; use data collected to inform decision-making on performance and scalability
Evaluate technology, build, test, document and deliver highly available services to support core infrastructure and Doctor On Demand’s web application
Be part of an on-call rotation that monitors/maintains availability of our application
Desired Skills and Experience
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Collaborate with the engineering team to improve the continuous delivery pipeline
-
Deploy tools for collecting, aggregating and alerting on server/application metrics; use data collected to inform decision-making on performance and scalability
-
Evaluate technology, build, test, document and deliver highly available services to support core infrastructure and Doctor On Demand’s web application
-
Be part of an on-call rotation that monitors/maintains availability of our application
- Strong Linux/Unix administration skills
- Written production code in a language other than BASH (we like Python)
- Proficiency in a configuration management tool such as Ansible, Saltstack, Chef
- Experience deploying a variety of web applications
- Knowledge of git and branching models like git-flow
- Comfortable working with AWS
- Hashicorp tools like Packer/Consul/Vault
- Container orchestration frameworks like Kubernetes or Docker Swarm
- Worked with a log aggregation framework like Splunk or ELK/EFK stack
- History of working in a HIPAA compliant environment
- Experience optimizing Postgres
- Familiarity with using AMQP (or similar) for asynchronous tasks
- Redis experience