Senior Site Reliability Engineer, Cisco Meraki

• Enjoy and have experience leading large technical projects - particularly working with cloud systems, networking, distributed systems, or data processing frameworks (ETL pipelines)
• Have at least 4 years of experience
• Have experience running and/or developing highly scalable IaaS solutions
• Have experience with automation tools such as Ansible and Terraform as well as container technologies (Docker or similar)
• Script or code with 1-2 languages like Ruby, Scala, and Python. Enjoy digging into other people’s source code (even if you don't know the language) in search of the root cause of a problem. Instinctively write code to deploy and automate infrastructure

Desirable

• The Infrastructure SRE team is responsible for the compute, storage and security underpinning Meraki's cloud in 10 data centers worldwide
• Meraki's high growth rate means our processes must be automatic and efficient, never driven manually
• Automation, monitoring and a keen eye for technical debt are key
• As a member of the team, you will craft and develop the global infrastructure which supports our cloud; this might mean deploying new Infrastructure management technologies at scale, writing code and using workflow orchestrators to improve our provisioning and decommissioning processes, or building models to predict business demand
• You will also work closely with our vendors and internal Datacenter Operations team
• We follow the *nix way (build large systems out of small components that each does one job and does it well
• We run Debian and Ubuntu), automate tedious tasks and work almost entirely with infrastructure-as-code
• This role is to support a specific customer, and there is a 24/7 on-call requirement as part of a rotation
• You will work with your team to deliver technical projects to support the wider business while spending a portion of your time working cross-team to support this critical customer
• Deploying and running IaaS solutions that let teams run seamlessly between our private cloud and AWS
• Using and running a workflow orchestrator (i.e. Luigi, Apache Airflow, Argo, etc.) to continuously reduce any manual work required to run our Infrastructure
• Security hardening for services, packages and processes, including OS images
• Building an automatic service lifecycle platform to coordinate the full lifecycle of all infrastructure (server, storage, network and site)
• Deploying comprehensive monitoring tools to provide insight into the performance and reliability of our infrastructure
• Automating testing infrastructure to accelerate the velocity at which we can deploy changes