Software Engineer - Openflow

5 days ago

Menlo Park, CA, USAMid Level

H1B Sponsor

Base Salary

$160k - $230k/yr

Responsibilities

Design and implement reliable, scalable, and secure Openflow control-plane and data-plane features.
Build and contribute to distributed systems supporting high-throughput, low-latency batch and streaming data pipelines.
Deliver small projects end to end and contribute to medium-sized projects with guidance and support.
Operate services through monitoring, on-call participation, incident response, post-incident reviews, and reliability improvements.
Apply clean code, testing, observability, security, and documentation practices.
Collaborate with engineering, product, and design partners to clarify requirements, plan technical work, and communicate progress and risks.
Analyze and improve service and pipeline performance, scalability, and reliability using metrics, profiling, and experimentation.
Participate in code reviews, design discussions, knowledge sharing, and mentoring interns or onboarding engineers.
Contribute to shared tooling and patterns for building, deploying, and operating connectors and runtimes.

At least 2 years of industry experience building and operating backend or platform services, including distributed systems.
Strong fundamentals in algorithms, data structures, and systems design, with practical production application.
Experience with concurrency, replication, partitioning, streaming, and fault tolerance.
Understanding of operating systems and networking, including multithreading, memory management, storage, and performance debugging.
Proficiency in Java or a similar object-oriented language such as Scala, Go, or C++, plus experience in large shared codebases.
Experience building cloud-native services on at least one major cloud provider, such as AWS, Azure, or GCP.
Track record of delivering maintainable solutions to complex engineering problems while balancing speed, reliability, and simplicity.
Strong collaboration and communication skills across locations and disciplines.
BS in Computer Science or a related field, or equivalent practical experience building and shipping distributed systems.
Bonus experience with data integration, observability, streaming or flow technologies such as Apache NiFi, Kafka, Flink, or Airflow, or with analytics and data platforms.