Job description
As a member of the RDL (Receipt Definition Language) team, you will make an immediate impact as you help build out and expand the core microservice platform as the customers demands grow.
As a Devops Engineer, you will get the chance to work on the infrastructure of one of Numerator's fastest growing products. Our technology harnesses consumer-related data in many ways including gamified mobile apps, sophisticated web crawling and enhanced Deep Learning algorithms to deliver an unmatched view of the consumer shopping experience.
You will work closely with product owners and data stakeholders to help communicate, document and address data infrastructure issues. Also, you will lead by example and evangelize Numerator DevOps best practices within the RDL team and build relationships with other DevOps teams within Numerator.
This role requires a balance between hands-on infrastructure-as-code deployments as well as involvement in microservice based development.
How You’ll Spend Your Time
- Liaison to the Global DevOps team to implement and upgrade internal packages, respond with feedback and test new functionality.
- Development of extensive new monitoring and system metrics.
- Architecture of CI/CD pipelines.
- Management of cloud assets and proactive versioning of hosted system software.
- 4+ years of experience in cloud-based systems in a DevOps position
- Intimate understanding of white/black box monitoring, microservice flow and tracking on an expansive ETL platform.
- Proficiency in Python (data structures, algorithms, object oriented programming, using APIs).
- Strong working knowledge of CI/CD pipelines utilizing Kubernetes based cloud environments with tools such as github, CircleCi, Docker, and Jenkins.
- Hands-on experience with Infrastructure as code (IaC) tools such as Ansible, Terraform, CloudFormation, Azure Resource Manager or Google Deployment Manager.
Nice to Haves
- Previous experience working in a geographically distributed Agile-based software team.
- Skilled in data management and logging systems using query languages to find and sort relevant logging or error indicators.
- Experience in a monitoring stack utilizing Prometheus and Grafana backed by Terraform, S3, and AWS RDS.
- Hands on management of messaging and queuing platforms such as ZMQ, RabbitMQ, or Kafka
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