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 Distributed Systems Backend Engineer, you’ll play a key role in building and scaling backend infrastructure that powers high-performance data embedding and retrieval systems. Your work will address complex engineering challenges in distributed computing, backend optimization, and large-scale data processing, all essential to enable quick, reliable, and cost-effective data access. Key Responsibilities System Design and Development : Architect and implement scalable distributed systems to process and retrieve large volumes of unstructured data in real-time. Performance Optimization : Optimize backend infrastructure to support low-latency, high-throughput operations for enterprise data access needs. Cross-Functional Collaboration : Partner with machine learning engineers and data scientists to integrate advanced models into production applications, ensuring smooth scalability. System Reliability : Develop monitoring, alerting, and logging tools to maintain system robustness and enable rapid issue resolution. Continuous Improvement : Stay updated on advancements in distributed systems and apply best practices to refine and scale backend architecture. Qualifications Education : Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Experience : Minimum of 3 years in software engineering, focusing on large-scale distributed systems and backend infrastructure. Technical Skills : Proficiency in languages such as Python, Go, or Java. Strong understanding of distributed computing and cloud infrastructure (AWS, GCP, or Azure). Familiarity with backend tools (e.g., Kafka, Kubernetes, Redis) and data processing frameworks (e.g., Spark, Hadoop). Experience with low-latency databases and vector search algorithms is a plus. Personal Attributes : A problem-solving mindset with a proactive approach to performance and scalability. Effective communication skills and the ability to work collaboratively in a cross-functional team. Self-motivation and flexibility in a fast-paced environment. Why Join Us? Cutting-Edge Innovation : Work with a team dedicated to advancing AI and distributed computing. Meaningful Impact : Contribute to products that enhance data accessibility for a wide range of industries. Career Development : Grow with us in a culture that values continuous learning and development. If backend engineering and building scalable systems are your passion, we’d love to hear from you. Apply today to join a mission-driven team at the forefront of AI and distributed system innovation.