Job Summary
As a Site Reliability Engineer at Staples, you will collaborate with a business-critical team of engineers responsible for the B2B and B2C sites performance and availability of one of the top eCommerce companies in the United States. You will be a key contributor to the success of our Public Cloud Adoption initiative. This program will drive critical technology and tangible business value utilizing the latest cloud technologies. We are looking for a highly motivated and experienced Site Reliability Engineering lead who wants to grow their career and work with cutting-edge tools and technologies. The Senior Site Reliability Engineer must have a proven track record of supporting B2B, B2C sites and their integrations, both on-premises and in the public cloud, with demonstrated expertise in related technologies. We are looking for an experienced full-stack engineer who wants to innovate, automate, and transform the enterprise.
Key Responsibilities
Databases eg: MongoDB, Oracle, Couchbase, Redis, MySQL
Frameworks such as Dust/Angular, Nodejs, Springboot
Log Analytics tools like Splunk, and ELK/Elastic
Digital experience tools like Fullstory
2 to 5 years of experience with Cloud Technologies, at least half of which should be on the Microsoft Azure platform
Strong hands-on experience with infrastructure and services (systems, network, cloud technology, provisioning, storage, etc)
Must have strong experience with programming in one or more scripting languages (Python, Azure CLI, or Powershell)
Hands-on experience with tool sets related to automation, orchestration, and managing infrastructure (Terraform, Puppet, Ansible, or Jenkins)
Experience with configuring, deploying, and administering infrastructure and application monitoring tools that assist in troubleshooting performance and stability issues in a cloud environment.
Skill Requirements
Awareness of AI/ML applications in observability and incident response Familiarity with LLMs and AI-driven automation tools. Understanding of AI-enhanced anomaly detection and predictive analytics