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SeniorRemoteIndia

Rust Systems Engineer

J
jobgether
Уровень
Senior
Формат
Remote
О роли

Описание вакансии

About the company

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Rust Systems Engineer – Edge Proxy & Fleet based in India.

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.
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 rather than application, web, or backend development.
  • Proven experience with systems and network programming, including TCP stream handling, socket programming, and transparent proxying.
  • Solid embedded Linux fundamentals, with experience in areas such as 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, with exposure to tools such as Terraform or CloudFormation.
  • Fleet management or IoT device fleet experience is strongly preferred.
  • Additional experience with C/C++ or Go alongside Rust is advantageous.
  • Exposure to Linux kernel networking technologies such as eBPF or netfilter, or high-performance proxy/load-balancing technologies such as HAProxy or Envoy, is a plus.
  • Familiarity with RADIUS and observability practices involving tools or concepts such as CloudWatch, Splunk, and SLOs is beneficial.
  • Strong troubleshooting, analytical, and problem-solving abilities, with the ability to investigate complex systems-level issues.
  • Ability to work independently on technically demanding infrastructure while collaborating effectively across distributed engineering teams.
  • Experience working on production systems where reliability, performance, scalability, and resource efficiency are critical.
Conditions
  • Remote work opportunity within India.
  • Direct-hire opportunity in a senior systems engineering capacity.
  • Opportunity to work on infrastructure deployed across thousands of distributed on-premise appliances.
  • Hands-on exposure to advanced Rust systems programming, embedded Linux, networking, and edge infrastructure.
  • Opportunity to work across AWS, Infrastructure as Code, Docker, performance engineering, and fleet management.
  • Collaboration with distributed engineering teams across India, the US, and the UK.
  • High-impact ownership of production infrastructure where reliability and scalability are essential.
  • Exposure to technically challenging areas including OTA updates, control-plane connectivity, network stack optimization, and large-scale device fleets.
Стек и навыки

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