Site Reliability Engineer
Job Posting for Site Reliability Engineer at Syrinx
Essential Accountabilities:
- Hands-on design, analysis and troubleshooting of highly-distributed large-scale production systems;
- Ownership of reliability, uptime, capacity- and performance-analysis thereof
- Ensuring the repeatability, traceability, and transparency of our infrastructure automation including alignment standards and best practices for operational excellence
- Identifying highest-impact opportunities to optimize existing systems
- System design consulting for teams seeking to leverage or improve their production infrastructure
- Anticipate, build and plan capacity for upcoming product/feature launches
- Responsible for fully operationalizing software/systems projects including security requirements
- Expertise with cloud- continuous-deployment- based software development lifecycles (e.g. CI/CD)
- Mastery of infrastructure automation technologies (like Terraform, CodeDeploy, Puppet, Ansible, Chef)
- Expertise in container/container-fleet-orchestration technologies (like Docker, Vagrant, Mesosphere, etcd, zookeeper)
- Cloud and container native Linux administration/build/management skills (e.g. AWS AMIs, Packer, etc.)
- Cloud database operations and deployment experience (e.g. RDS MySQL/Postgres/Aurora), Caching operations & deployment experience (e.g. memcache, Redis)
- Expertise with Lean/Agile deployment processes (Blue/Green, ZDT, canary, load balancers/DNS strategies)
- Familiarity with site and infrastructure monitoring systems (like AWS Cloudwatch, Datadog, New Relic, Sumologic)
- Strong problem solving, root cause analysis and systems engineering skills
- Excellent presentation and communication skills
- Experience with programming in languages like Javascript, Python, PHP, Go, or Ruby;
- Strong skills in reading, understanding and writing code in the same
- Ability to design and manage escalation response plans from monitoring, react, respond, remediate and retrospect in culturally aligned (proactive, customer focused, collaborative, data-driven) ways
- Demonstrated expertise building and managing highly scaled production infrastructure in the cloud (AWS required; GCP, Azure, OpenStack a plus)
- Expertise with SDLC branching, SCM, and code deployment systems (e.g. git/gitflow, Jenkins, CircleCI, TravisCI, etc.)
- BS Degree in Computer Science (or related technical field and/or equivalent industry experience)
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