Senior Rust Systems Engineer – Edge Proxy & Fleet
New
J
JobgetherEdge Infrastructure
Remote work opportunity within India.Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 6+ years of total software engineering experience, including 3+ years of hands-on production Rust development.
- Required Skills
- AWSDockerRust
Requirements
- 6+ years of total software engineering experience, including 3+ years of hands-on production Rust development.
- Strong production Rust experience specifically in systems or embedded environments.
- Proven experience with systems and network programming, including TCP stream handling, socket programming, and transparent proxying.
- Solid embedded Linux fundamentals, with experience in device drivers, kernel modules, cross-compilation, or hardware bring-up.
- Hands-on Docker and containerization experience for constrained systems or appliance deployments.
- Experience with performance testing and profiling, including load testing, CPU and memory profiling, and flame graph analysis.
- Working knowledge of AWS and Infrastructure as Code concepts.
- Ability to work independently on technically demanding infrastructure.
- Strong troubleshooting, analytical, and problem-solving abilities.
- Experience working on production systems where reliability, performance, scalability, and resource efficiency are critical.
Responsibilities
- Own and develop core components of a fleet-wide edge proxy deployed across thousands of on-premise appliances.
- Build and maintain fleet-wide OTA update capabilities, ensuring reliable software delivery and deployment across distributed devices.
- Develop and optimize control-plane connectivity between deployed appliances and AWS-based infrastructure.
- Design and improve systems and network programming components, including TCP stream handling, socket programming, and transparent proxying.
- Tune network stack performance and system behavior to maintain reliability and efficiency at significant fleet scale.
- Work with embedded Linux environments, including device drivers, kernel modules, cross-compilation, and hardware bring-up as required.
- Build and maintain Docker/containerized workloads designed for constrained appliance environments.
- Conduct performance testing, load testing, memory and CPU profiling, and flame graph analysis to identify and resolve bottlenecks.
- Apply AWS and Infrastructure as Code concepts to support reliable cloud-connected fleet infrastructure.
- Contribute to fleet reliability, observability, operational improvements, and scalable engineering practices.
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