Taplytics is growing and is looking to increase the team’s experience base by adding an Infrastructure Engineer / Senior Cloud Architect. The challenge of scaling past where we are today is almost unique in the city of Toronto; this will be a chance to make the key judgment calls in managing our infrastructure into the realm of petabytes of data using the latest tools & tech.
We operate using a micro-service architecture with many services built using Node.js, GO, and Python. Our micro-services are powered by various backend systems, including: MongoDB, Redis, Kafka, PostgreSQL, and ElasticSearch. We run at petabyte scale delivering experiences to billions of devices, requiring unique scaling solutions. Our systems are hosted across AWS / GCP using Docker Containers and Terraform. We are consistently iterating and improving our systems and workflows to improve how we develop code with a focus on producing the best product possible.
What we’d like you to do:
- Lead the operations of our expansive cloud infrastructure
 - Develop new tools and processes for managing a large global cloud deployment
 - Focus on reducing costs and optimizing databases and micro-services
 - Focus on quality with continuous integration and deployment
 - Coming up with creative solutions to handle an increasing level of scale efficiently
 - Be a core member of a close-knit engineering team that ships code continuously
 
What an incredible candidate looks like:
- You’re great to get along with and can communicate complex technical issues
 - Experience with large cloud deployments on AWS and GCP
 - Experience with databases and caches such as: Postgres, MongoDB, ElasticSearch, Redis and Kafka
 - Experience using cloud deployment tools like Terraform
 - Experience managing containerized architectures using technologies like Docker and Kubernetes
 - A mastery of continuous integration and deployments
 - A love of PagerDuty and making sure the proper monitoring and alerting is clear and well setup
 
by via developer jobs - Stack Overflow
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