Cloud Solutions Engineer

2 weeks ago


Los Angeles, California, United States COEADAPT INC. Full time

Coeadapt Inc. is on the lookout for a skilled and knowledgeable Cloud Solutions Engineer to become a vital part of our dynamic team. The successful applicant will take charge of developing, deploying, and sustaining applications, solutions, and services on the Google Cloud Platform tailored to our organizational needs. The ideal candidate will exhibit exceptional technical expertise and a solid grasp of Google Cloud technologies, alongside a proven track record in coding, application architecture, and large-scale deployment. A comprehensive understanding of software design principles and familiarity with DevOps practices is essential.

Key Responsibilities:

  • Create, implement, and manage Google Cloud solutions and services that align with business objectives.
  • Architect and develop secure, scalable, and high-performance cloud applications utilizing Google Cloud Platform services.
  • Collaborate closely with fellow developers, architects, and stakeholders to ensure seamless communication and cooperation throughout the development lifecycle.
  • Perform code evaluations, debug intricate issues, and consistently enhance code performance, quality, and dependability.
  • Establish and uphold automated build, testing, and deployment pipelines leveraging DevOps methodologies.
  • Oversee and refine the performance and cost-effectiveness of Google Cloud Platform applications and services.
  • Keep abreast of the latest advancements in Google Cloud technologies, trends, and best practices, applying them as needed to address business challenges.
  • Offer technical mentorship and guidance to junior developers and engineers.

Qualifications:

  • Bachelor's degree or higher in Computer Science or a related discipline.
  • A minimum of 3 years of practical experience in developing, deploying, and managing Google Cloud Platform solutions and services.
  • Experience in constructing workflows in Vertex AI and overseeing big data initiatives.
  • Preferred: GCP architect certification.
  • Proficiency in one or more programming languages (e.g., Java, Python, Go).
  • Strong grasp of cloud computing principles, architecture, and security best practices.
  • Familiarity with Google Cloud Platform services such as Compute Engine, App Engine, Cloud SQL, Cloud Storage, Kubernetes, and Cloud Functions.
  • Knowledge of DevOps methodologies and tools including Jenkins, Git, Terraform, and Ansible.
  • Excellent analytical skills, meticulous attention to detail, and the ability to work autonomously or collaboratively.
  • Strong communication and interpersonal abilities.
  • Google Cloud Platform certification(s) (e.g., Associate Cloud Engineer, Professional Cloud Developer) is advantageous.


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