Software Engineer

Series-A AI Start-Up

Palo Alto (on-site)

Up to $300k base + equity

Our client is an AI-focused company committed to reshaping enterprise-level access to unstructured data. Their advanced embedding and retrieval solutions are built for large-scale applications and designed to optimize intelligent data retrieval, enabling powerful low-latency performance across diverse industries. Join their team of experts from leading academic institutions and top tech firms to work on high-impact solutions that drive intelligent, enterprise-grade systems.

Job Description

As a Cloud Deployment Engineer, you’ll play a critical role in deploying, managing, and optimizing our infrastructure on cloud platforms to support data-intensive applications and AI-driven solutions. This position will involve working closely with engineering teams to implement scalable, secure, and resilient cloud architectures, optimizing for performance and reliability in large-scale deployments.

Key Responsibilities

• Cloud Architecture Design : Design and implement cloud-based infrastructure for high-throughput data processing, retrieval, and embedding applications.
• Scalability and Reliability : Develop and manage deployment processes that ensure the system scales reliably and cost-effectively across a growing range of applications.
• Security & Compliance : Implement best practices for cloud security and compliance, ensuring all deployments meet regulatory and organizational standards.
• Automation and Monitoring : Develop automated CI/CD pipelines and robust monitoring systems to maintain high uptime and smooth deployment cycles.
• Collaborative Support : Work closely with backend engineers, data scientists, and machine learning teams to ensure optimal 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, specifically working with large-scale data systems.
• Skills :
• Strong expertise in cloud platforms (AWS, GCP, or Azure) and familiarity with their service offerings for compute, networking, and data storage.
• Proficiency in cloud management tools (e.g., Terraform, Kubernetes, Docker).
• Experience with CI/CD pipeline tools such as Jenkins, GitLab CI, or CircleCI.
• Strong understanding of security protocols, including IAM, VPC, and network security configurations.
• Attributes :
• Problem-solving mindset, with an ability to foresee and address deployment challenges.
• Strong communication skills for effective collaboration across engineering and research teams.
• Flexibility and adaptability in a fast-paced environment focused on continuous improvement.

Why Join Us?

• Innovative Environment : Work on advanced AI solutions in a team dedicated to enhancing enterprise data accessibility.
• Impactful Contributions : Drive cloud strategies that power solutions for diverse, large-scale industry applications.
• Growth Opportunities : Access ongoing professional development in a supportive, learning-oriented culture.

If deploying high-performance cloud systems excites you, we’d love to hear from you. Apply today to contribute to a team pushing the limits of AI and cloud infrastructure innovation.