Desired Skills and Experience
- Manage cloud infrastructure (AWS) and virtualization environments
- Work closely with infrastructure and network operations to design robust solutions within their frameworks.
- Develop and maintain the deployment pipeline and QA environments to enable engineering teams
- Work closely with the engineering teams to deliver high quality, highly available software solutions
- Document and automate the provisioning & configuration of production systems
- Work with security team to protect data inflight or at rest and create verifiable and auditable access methods
- Provide operational intelligence by deploying and maintaining solutions for logging, monitoring, alerting
- Create run books and escalation plans for core products.
- Collaborate with software engineers to drive architectural decisions that facilitate growing performance and capacity
- Troubleshoot and resolve production issues together with the engineering team and prevent future issues
- Partner with vendors and external service providers, incorporating them as an extension of the team
- Write concise documentation around processes and maintenance plans
- 4+ years’ experience
- Experience with a scripting language (e.g. Ruby, Python, Perl, Bash)
- Strong hands-on Linux System Administration skills
- Experience with AWS/cloud architectures, IAAS APIs and command line tools
- Experience in data engineering a big plus (Spark and other data pipeline technologies)
- Experience with the triage of live production systems and applications is a must
- Understanding of software development processes, best practices, and methodologies
- Experience with version control systems is a must (Git specifically is a plus)
- Experience with configuration management and system automation tools (e.g. Puppet, Chef, Ansible, etc.)
- Familiarity with using and supporting analytics systems like Hive, Redshift, Presto, Tableau and similar tools.
- Experience with Continuous integration, testing, and deployment (e.g. Jenkins, TravisCI, CircleCI, Rundeck, etc.)
- Familiarity with log aggregation and monitoring systems (e.g. Splunk, ELK Stack, Nagios, New Relic, etc.)
- Familiarity developing solutions leveraging Docker or containers in general
- Familiarity with Agile practices and methodologies
- NoSQL experience: HBase, MongoDB
- Familiarity with BI and analytics tools (e.g. Looker, Tableau)
- Incident response experience
- 100% company paid medical plan options (additional medical, dental and vision plans available too!)
- Health & fitness reimbursement program
- 401K retirement plans with employer matching
- Flexible and generous time off
- Pre-tax savings plans for public transportation and parking expenses
- Fully stocked kitchen and cold brew on tap
- Regular company happy hours, lunches & events
Apply