Why This Job is Featured on The SaaS Jobs
This Principal Software Engineer role sits at a core SaaS leverage point: the shared search layer that cuts across catalog, marketplace, documentation, and workspace surfaces. In large, multi-product platforms, a unified search foundation becomes part of the product itself, shaping how users discover data and how internal teams ship features on top of consistent retrieval primitives. The emphasis on indexing pipelines, low-latency retrieval, and hybrid vector plus keyword approaches reflects where modern SaaS infrastructure is heading as AI-assisted workflows become a first-class interface.
From a SaaS career perspective, the work maps to durable platform skills: building and operating stateful distributed systems under real customer load, defining SLOs, and making cost and performance tradeoffs that compound across tenants and products. Experience here tends to translate across data platforms and developer-facing SaaS, especially where observability, capacity planning, and reliability engineering are inseparable from product outcomes.
The role is best suited to senior engineers who prefer architectural ownership over feature throughput and who are comfortable coordinating across multiple teams to land foundational changes. It will appeal to practitioners who enjoy deep systems work in Go, Java, or C++ and who want their infrastructure decisions to directly influence end-user discovery and emerging RAG-style patterns.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
As Snowflake’s data and metadata landscape continues to grow, providing a high-performance, scalable, and reliable search foundation is critical. The Snowscope team is responsible for the unified search experience across Snowflake—including the Catalog, Marketplace, Documentation, and Workspaces.
We are looking for a Principal Software Engineer for Search Infrastructure to architect the "engine" itself. This individual will own the core search services, distributed indexing pipelines, and retrieval infrastructure that powers Universal Search. You will ensure our systems are not only robust and cost-effective but also ready to support the high-throughput, low-latency demands of next-generation AI agents and RAG (Retrieval-Augmented Generation) workflows.
As a Principal Search Infrastructure engineer, you will own the search backend and indexing systems. You will make the search scale at the cost of compute while indexing will scale at the cost of storage. This role requires a leader who will drive cross-team execution through thoughtful architecture, particularly where distributed systems, data pipelines, and search technologies intersect.
What You Will Do in This Role
Infrastructure Architecture: Design and build the next generation of Snowflake’s search infrastructure, focusing on scalable indexing, storage, and low-latency retrieval for massive, heterogeneous datasets.
Vector & Hybrid Systems: Lead the architectural evolution of our hybrid search engine, ensuring seamless integration of traditional keyword-based (syntactic) and modern vector-based (semantic) search at scale.
Distributed Data Systems: Evolve data-intensive platform components including durable indexing workflows, streaming/queuing systems, and caching strategies with strong observability and capacity discipline.
AI & Agent Enablement: Architect the platform to support "agentic" search patterns, ensuring safe, secure, and performant tool-use retrieval and RAG capabilities.
Production Excellence: Define SLOs, incident patterns, and rollout practices for mission-critical search services; drive technical roadmaps that align with high-level product goals.
Ideal Candidate Background
Has architected and owned complex, stateful search or data platforms at "Snowflake-scale".
Thrives in high-intensity environments with short feedback loops and high standards for technical rigor.
Acts as a subject matter expert in the latest developments in Information Retrieval infrastructure and LLM-serving patterns
Must Have
Search Infrastructure Expertise: Deep experience with the internals of search engines and vector databases.
Distributed Systems at Scale: 10+ years of experience shipping high-throughput backend platform software in production with Principal-level scope (architecture ownership and cross-team delivery).
Indexing & Data Pipelines: Proven track record building distributed data systems, including partitioning, replication, and handling complex failure modes in high-scale environments.
High Performance Computing: Expertise in optimizing systems for low-latency retrieval and high-concurrency workloads under real customer load.
Technical Visionary: Ability to translate high-level product goals into complex technical roadmaps and influence the broader engineering organization.
Container & Cloud Fundamentals: Experience with secure, cost-aware container execution (e.g., Kubernetes-class patterns) and strong security fundamentals (threat modeling, least privilege).
Proficiency in Go/Java/C++: Deep expertise in systems-level languages used for building high-performance backend infrastructure.
Hybrid Search Implementation: Practical experience implementing the infrastructure required to blend vector embeddings with traditional BM25 ranking.
Nice to Have
Multi-tenant SaaS Experience: Background in building workflow orchestration or high-throughput async systems for multi-tenant environments.
User Experience Empathy: Understanding how infrastructure latency and reliability directly impact the end-user search experience.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
