As a Software Engineer on the Snowflake Openflow team, you will:- 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.
- Contribute to 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.
- Design, scope, and deliver small projects end to end - from requirements clarification and technical design through implementation, testing, rollout, and follow-up improvements - with guidance from senior engineers. Contribute to medium-sized projects with appropriate support.
- Operate and support the components you build, including monitoring, on-call participation, incident response, and contributing to post-incident reviews and reliability improvements.
- Apply solid engineering practices in your area, including 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 to clarify requirements, create technical plans, break work into milestones, and communicate progress and risks.
- Analyze and improve performance, scalability, and reliability of existing services and pipelines, using metrics, profiling, and experimentation to guide optimizations.
- Contribute to code reviews, design discussions, and team knowledge sharing, including mentoring interns or onboarding newer engineers.
- Contribute to shared platform tooling and patterns, helping make it easier for Openflow teams to build, deploy, and operate high-quality connectors and runtimes.
Our ideal Software Engineer will have:- 2+ years of industry experience building and operating backend or platform services, including 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 multithreading, memory management, storage, and debugging performance and scale issues.
- Proficiency in Java or a similar object-oriented language, such as Scala, Go, or C++, and experience working in large, shared codebases.
- Experience building cloud-native services on at least one major cloud provider, such as AWS, Azure, or GCP, using containers, CI/CD, and modern monitoring and 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 such as Apache NiFi, Kafka, Flink, or Airflow, or with analytics/data platforms.
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
