Software Engineer - Backend

Applied Intuition

Sunnyvale, United States
Base: $153,000 - $222,000 usd annually; equity: op...
On-site (5 days a week, with some flexibility)
Scalable low-latency backend services
Cloud infrastructure (aws)
Nosql databases (redis)
Applied Intuition is seeking a Backend Software Engineer to join their Remote Assistance team in Sunnyvale, California. The role involves designing and maintaining backend services crucial for their remote assistance platform, with a focus on real-time data processing and cloud infrastructure

Job Summary

  • Design, develop, and deploy scalable, low-latency backend services for remote assist session management and real-time data streaming.
  • Architect and implement the cloud infrastructure for remote assistance including technologies like protobuf, gRPC across multiple AWS regions.
  • Ensure the security, reliability, and resilience of the backend platform, including handling network disruptions and failover.

Matching Summary

Match Score: 85

Applied Intuition is seeking a Backend Software Engineer to join their Remote Assistance team in Sunnyvale, California. The role involves designing and maintaining backend services crucial for their remote assistance platform, with a focus on real-time data processing and cloud infrastructure.

Salary

Base: $153,000 - $222,000 USD annually; Equity: options and/or restricted stock units; Benefits: comprehensive health, dental, vision, life and disability insurance, 401k with employer match, learning and wellness stipends, paid time off

Skills & Requirements

Must-have

  • Scalable low-latency backend services
  • Cloud infrastructure (AWS)
  • NoSQL databases (Redis)
  • Data pipelines for real-time data
  • gRPC and protobuf
  • Security, reliability, resilience

Nice-to-have

  • Project leadership experience
  • Startup environment experience

Key Requirements

  • Bachelor's degree in Computer Science
  • 3+ years of professional experience
  • Proficiency in Go and Python
  • Experience with distributed systems
  • Experience with cloud platforms (AWS, GCP or OCI)
  • Experience with containerization (Docker, Kubernetes)

Work Rights

Not specified

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