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Software Engineer (Openflow)

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Onsite

Software Engineer (Openflow)

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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