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Senior Cloud Engineer (GCP)

Remote

Job Purpose

This Senior Cloud Engineer role at Nerdery is responsible for managing and implementing Google Cloud technology for our customers. This role will design, develop, and manage robust, secure, scalable, highly available, and dynamic cloud solutions to drive business objectives. This role will collaborate with cross-functional teams to identify and implement technical best practices, while continuously optimizing cloud services.

This role is also responsible for driving deployment automation, developing infrastructure as code and scripts, and implementing necessary tools and technologies. The role will play a vital part in ensuring adherence to compliance and regulatory standards, as well as promoting and fostering a culture of security consciousness within the organization.

Responsibilities/Duties

  • Work with Back-End & Front-End developers to support integration and deployment efforts
  • Develop and maintain reusable templates and code to automate solution delivery and deployment
  • Ensure the availability, performance, security, and scalability of the production system by implementing proactive system monitoring
  • Professional work experience in GCP administration with strong fundamentals in computing, networking, security, and storage
  • Write readable, maintainable infrastructure as code with minimal technical oversight
  • Communicate with Nerdery employees and Nerdery clients about task status, availability, and questions about technology

Required

  • Bachelor’s Degree or equivalent experience 
  • 6+ years of professional experience within the software industry 
  • 3+ years of professional experience with GCP 
  • Must have a professional GCP Certification
  • 1-2 years of experience with Terraform
  • Experience with CI/CD automation 
  • Experience with ETL/ELT on the GCP platform 
  • Experience deploying web applications to GCP 
  • Experience with GCP
  • Data Encryption
  • Networking Security and Firewalls
  • IAM
  • Logging and Monitoring
  • KMS
  • Experience with Docker
  • Experience working in a distributed, agile environment planning and executing on a projects using Agile methodologies
  • Confident with use of Git for version control
  • Experience with Dataflow, BigQuery, and Looker

Preferred 

  • Experience with BigData 
  • Experience with Databricks 
  • GCP Data Loss Prevention (DLP) 
  • 1-2 years of experience with Azure or AWS 
  • Experience in database architecture, business intelligence, big data, machine learning, and/or advanced analytics

Must be legally authorized to work within the country of employment without sponsorship for employment visa status.

Nerdery is an equal opportunity employer and complies with all applicable federal, state and local fair employment practice laws. Nerdery strictly prohibits and does not tolerate discrimination against employees, applicants or any other covered persons because of race, color, religion, creed, national origin or ancestry, ethnicity, sex, sexual orientation, gender (including gender nonconformity and status as a transgender or transsexual individual), pregnancy, marital status, familial status, age, physical or mental disability, citizenship, past, current or prospective service in the uniformed services, genetic information, membership or activity in a local human rights commission, status with regard to public assistance or any other characteristic protected under applicable federal, state or local law. All employees, other workers and representatives of Nerdery are prohibited from engaging in unlawful discrimination. Nerdery will ensure that all employment practices are free of such discrimination. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment or recruitment advertising, selection, layoff, disciplinary action, termination, compensation, benefits, selection for training, including apprenticeship and other terms and conditions of employment. Nerdery will also provide reasonable accommodation to applicants and employees with disabilities pursuant to all applicable laws.

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