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Senior Cloud Deployment Engineer

Signify Technology
Sonoma, CA Full Time
POSTED ON 1/17/2025
AVAILABLE BEFORE 4/17/2025

Senior Cloud Deployment Engineer

Series-A AI Start-Up

Up to $300k base equity

Join an innovative AI-focused company committed to transforming enterprise access to unstructured data. Our advanced embedding and retrieval solutions are engineered for large-scale applications, optimizing intelligent data retrieval for powerful low-latency performance across various industries. Collaborate with a team of experts from renowned academic institutions and top tech firms to develop high-impact solutions that enhance enterprise-grade systems.

Job Description

As a Senior Cloud Deployment Engineer, you will be integral in deploying, managing, and optimizing our infrastructure on cloud platforms to support data-intensive applications and AI-driven solutions. You'll collaborate closely with engineering teams to implement scalable, secure, and resilient cloud architectures, ensuring optimal performance and reliability in large-scale deployments.

Key Responsibilities

  • Cloud Architecture Design : Design and build cloud-based infrastructure for high-throughput data processing, retrieval, and embedding applications.
  • Scalability and Reliability : Develop and oversee deployment processes that guarantee system scalability and cost-efficiency across expanding application ranges.
  • Security & Compliance : Enforce best practices for cloud security and compliance to meet regulatory and organizational standards.
  • Automation and Monitoring : Create automated CI / CD pipelines and comprehensive monitoring systems to maintain high uptime and seamless deployment cycles.
  • Collaborative Support : Partner closely with backend engineers, data scientists, and machine learning teams to achieve smooth integration of models and services into cloud environments.

Qualifications

  • Education : Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Experience : 3 years in cloud infrastructure or DevOps engineering, particularly with large-scale data systems.
  • Skills :
  • Strong expertise in cloud platforms (AWS, GCP, or Azure) and familiarity with service offerings for compute, networking, and data storage.
  • Proficient in cloud management tools (e.g., Terraform, Kubernetes, Docker).
  • Good experience with CI / CD pipeline tools such as Jenkins, GitLab CI, or CircleCI.
  • Solid understanding of security protocols, including IAM, VPC, and network security configurations.
  • Attributes :
  • Problem-solving mindset with the ability to anticipate and tackle deployment challenges.
  • Excellent communication skills for effective collaboration across engineering and research teams.
  • Adaptability and flexibility in a dynamic environment focused on continuous improvement.
  • Why Join Us?

  • Innovative Environment : Engage with advanced AI solutions in a team dedicated to enhancing enterprise data accessibility.
  • Impactful Contributions : Shape cloud strategies that empower solutions for diverse, large-scale industry applications.
  • Growth Opportunities : Benefit from ongoing professional development within a supportive, learning-oriented culture.
  • If you're excited about deploying high-performance cloud systems, we want to hear from you. Apply today to join a team pushing the boundaries of AI and cloud infrastructure innovation.

    Salary : $300,000

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