Senior Software Engineer

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, youll 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 : Bachelors or Masters 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, wed love to hear from you. Apply today to contribute to a team pushing the limits of AI and cloud infrastructure innovation.