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Senior Production Engineer

Senior Production Engineer

CompanyYahoo
LocationUnited States
Salary$128250 – $266875
TypeFull-Time
DegreesBachelor’s, Master’s
Experience LevelSenior

Requirements

  • Bachelor’s or Master’s degree in Computer Science or related field; Or, equivalent experience.
  • 5+ years of experience in supporting Site Reliability, DevOps, Infrastructure, and handling on-call duties within Cloud environments, with a preference for experience in Google Cloud Platform (GCP).
  • Proficiency in managing GCP services, including Kubernetes Engine (GKE), Compute Engine (GCE), Networking, Security, CI/CD pipelines, and other common Cloud technologies.
  • Proven experience working with very large-scale applications, computer systems, and networks.
  • Proficiency in Linux, TCP/IP, HTTP, MAIL protocols, DNS, content delivery networks (CDN), load balancers, and troubleshooting techniques.
  • Proficiency in constructing Infrastructure as Code (IAC) using tools like Terraform, Ansible, and Helm Charts.
  • Proficiency in programming using Python, Golang, or Java, along with the ability to build CI/CD pipelines for deploying services in these languages.

Responsibilities

  • Collaborate with architects and software developers to facilitate the delivery of services to Yahoo Mail users.
  • Collaborate with cross-functional teams to design, implement, and manage Yahoo Mail cloud infrastructure.
  • Migrate large-scale on-prem applications to the Google Cloud Platform (GCP).
  • Administer and maintain cloud infrastructure, including on-call support, monitoring, security best practices, automation, and deployment.
  • Establish CI/CD pipelines and formulate reusable cloud infrastructure templates via infrastructure as code (IaC) methodologies.

Preferred Qualifications

  • Cloud databases and storage platforms, such as Storage Services (GCS), Cloud SQL, Spanner, and Firestore.
  • Experience building transaction processing systems (OLTP) and/or larger scale analytics (OLAP).
  • Machine Learning and AI platforms, such as Vertex AI, Generative AI, BigQuery, Looker and DataProc.
  • Cloud observability, Open telemetry.
  • Proven track records in migrating on-premise infrastructure to GCP or any cloud infrastructure.
  • Years of operational experience in both on-premise and cloud environments.
  • Ability to build the cloud services, including GKE and Spanner, from scratch using IaC (Terraform) and various build and CICD tools.
  • Collaborative team player with a continuous improvement mindset.
  • Good conversation and presentation skills to explain architecture and design of cloud technologies to senior engineering architects.
  • Ability to set sprint goals to be specific, measurable, achievable, realistic and know the process of backlog refining, prioritizing backlog items and being an active participant in sprint planning sessions.