Snowflake의 Openflow 팀에서 데이터 통합 플랫폼을 고도화할 Senior Software Engineer를 찾습니다. 분산 시스템 설계 및 운영 경험이 필수이며, Java 기반의 백엔드 개발 역량을 갖춘 분을 우대합니다. Apache NiFi 기술을 활용해 실시간 데이터 이동을 구현하고, 대규모 엔터프라이즈 환경에서 안정적인 데이터 파이프라인을 구축하는 핵심 역할을 수행하게 됩니다.
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.
The Snowflake Openflow team is building Snowflake’s next-generation open, extensible, and secure data integration platform for real-time, scalable, bi-directional data movement, powered by Apache NiFi. We enable customers to move structured and multi-modal unstructured data across any source and any sink—Snowflake and non-Snowflake alike—through a single, cloud-native platform that supports batch and streaming, and flexible runtimes spanning Snowflake-managed (SPCS) and Bring Your Own Cloud (BYOC) data planes.
Our team includes original creators and core contributors to Apache NiFi and industry leaders in data integration, now focused on bringing NiFi’s proven strengths—visual flows, rich connectors, and powerful routing—to Snowflake’s AI Data Cloud at enterprise scale. We work end to end across high-performance runtimes, and curated connectors, partnering closely with product, field, and open-source communities to help customers continuously ingest data, power AI and analytics workloads, and make smarter decisions in real time.
Design and implement features in Openflow’s control plane and data plane, contributing to reliable, scalable, and secure services that power real-time, bi-directional data movement for our customers.
Build and evolve distributed systems for batch and streaming workloads, enabling high-throughput, low-latency data pipelines across Snowflake and non-Snowflake environments, for both structured and multi-modal unstructured data.
Own medium-sized projects end to end—from requirements clarification and technical design through implementation, testing, rollout, and follow-up improvements—with appropriate guidance from Staff and Principal engineers.
Take operational ownership of the components you build, including monitoring, on-call participation, incident response, and contributing to post-incident reviews and reliability improvements.
Apply and promote solid engineering practices in your area—clean code, robust testing, observability, security, and documentation—to keep our platform easy to operate and evolve.
Collaborate closely with peers across engineering, product, and design, translating ambiguous requirements into clear technical plans, breaking work into milestones, and communicating progress and risks.
Analyze and improve performance, scalability, and reliability of existing services and pipelines, using metrics, profiling, and experimentation to guide optimizations.
Mentor junior engineers and interns, providing constructive code reviews, design feedback, and sharing domain knowledge in Openflow, Snowflake, and distributed systems.
Contribute to shared platform tooling and patterns, helping make it easier for Openflow teams to build, deploy, and operate high-quality connectors and runtimes.
7+ years of industry experience building and operating backend or platform services, including significant hands-on work with distributed systems.
Strong computer science fundamentals, including algorithms, data structures, and systems design, with the ability to apply them pragmatically in production code.
Practical experience with distributed systems concepts, such as concurrency, replication, partitioning, streaming, and fault tolerance, and how they impact correctness, performance, and operability.
Solid understanding of operating systems and networking basics, including multi-threading, memory management, storage, and debugging performance/scale issues.
Proficiency in Java or a similar object-oriented language (e.g., Scala, Go, C++), and experience working in large, shared codebases.
Experience building cloud-native services on at least one major cloud provider (AWS, Azure, or GCP), using containers, CI/CD, and modern monitoring/logging stacks.
A track record of delivering high-quality, maintainable solutions to non-trivial engineering problems, balancing speed with long-term reliability and simplicity.
Strong collaboration and communication skills, with the ability to work effectively with teammates across locations, give and receive feedback, and explain technical trade-offs clearly.
BS in Computer Science or a related field, or equivalent practical experience building and shipping distributed systems.
(Bonus) Experience with data integration, observability, or streaming/flow technologies (e.g., Apache NiFi, Kafka, Flink, Airflow, or similar) or with analytics/data platforms.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
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
