S
Snowflake
Software Engineer (Openflow)
Skills
Google Cloud PlatformGolangJavaKafkaData AnalysisScalaAWSApache AirflowAzure
2 months ago
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Important information
Contract type:
Permanent
Salary:
$160,000 – $230,000 / year
Location:
Menlo Park, CA, USA
Work mode:
Onsite
Published on:
9 August 2026
What they need
- 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
Benefits
- Comprehensive health insurance plans
- Health savings accounts
- Robust retirement plans
- Life and disability insurance
- Weekly online lunch and learns
- Virtual workout classes
- Ergonomic work-from-home equipment
- On-demand mental health and wellness programs
- Fertility benefits and family planning resources
- Generous time-off and various leave plans
- Onsite and Remote Work
- Employee discounts and pre-tax selections
- New hire equity + Employee Stock Purchase Plan (ESPP)
- Quarterly bonus or commission program- BS in Computer Science or a related field, or equivalent practical experience building and shipping distributed systems
- Practical experience with distributed systems concepts such as concurrency, replication, partitioning, streaming, and fault tolerance, and how they impact correctness, performance, and operability
- 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
- 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
- Strong computer science fundamentals, including algorithms, data structures, and systems design, with the ability to apply them pragmatically in production code
- Proficiency in Java or a similar object-oriented language, such as Scala, Go, or C++, and experience working in large, shared codebases
- Solid understanding of operating systems and networking basics, including multithreading, memory management, storage, and debugging performance and scale issues
- 2+ years of industry experience building and operating backend or platform services, including hands-on work with distributed systems
- A track record of delivering high-quality, maintainable solutions to non-trivial engineering problems, balancing speed with long-term reliability and simplicity
- Bonus: Experience with data integration, observability, or streaming/flow technologies such as Apache NiFi, Kafka, Flink, or Airflow, or with analytics/data platforms
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