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Senior Rust Systems Engineer – Embedded Proxy & Appliance

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Senior Rust Systems Engineer – Embedded Proxy & Appliance

Jobgether

Senior Rust Systems Engineer – Embedded Proxy & Appliance

Skills

RustDockerSplunkAIAWSLinuxTerraform

2 months ago

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Important information


Contract type:

Permanent

Location:

Panara, Madhya Pradesh 480551, India

Work mode:

Remote

Published on:

10 September 2026

What they need


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 – Embedded Proxy & Appliance based in India. This is a senior systems engineering opportunity focused on building and owning embedded proxy software deployed across a large fleet of school-network appliances.

You’ll work close to the hardware and operating system, developing production-grade Rust for constrained environments and network-intensive workloads.

The role spans embedded Linux, networking, performance optimization, containerization, and cloud-based fleet management.

You’ll help evolve critical infrastructure that must remain reliable, secure, and performant across thousands of real-world deployments.

The position offers significant technical ownership, from low-level OS and networking components through the AWS control plane.

You’ll collaborate with engineers across product and infrastructure disciplines in a distributed, international environment.

This is an excellent fit for an engineer who enjoys solving complex systems problems where reliability and performance matter at scale.

Accountabilities

  • Own the design, development, and maintenance of embedded proxy software running on hardware appliances deployed across distributed customer environments.
  • Develop production systems software in Rust, working close to the operating system, network stack, and constrained hardware.
  • Implement and optimize networking functionality, including TCP stream handling, socket programming, transparent proxying, and related low-level components.
  • Work with embedded Linux at the OS and driver level, including device drivers, kernel modules, cross-compilation, and hardware bring-up where required.
  • Build and maintain containerized workloads suitable for constrained appliance environments.
  • Conduct performance testing, load testing, memory and CPU profiling, and flame graph analysis to identify and resolve bottlenecks.
  • Contribute to cloud-connected infrastructure and fleet management capabilities using AWS and Infrastructure as Code principles.
  • Collaborate with engineering and product stakeholders to define architecture, troubleshoot complex technical issues, and deliver reliable solutions.
  • Apply engineering best practices around code quality, observability, reliability, security, and maintainability.

Requirements

  • 6+ years of overall software engineering experience, including at least 3 years of hands-on production Rust development in a systems or embedded environment rather than web or application development.
  • Strong experience with embedded Linux, including areas such as device drivers, kernel modules, cross-compilation, or hardware bring-up.
  • Solid systems and network programming experience, particularly TCP streams, socket programming, transparent proxies, or comparable low-level networking technologies.
  • Practical experience with Docker or containerization for constrained, embedded, or appliance-based deployments.
  • Demonstrated ability to profile and optimize systems using load testing, memory/CPU profiling, and flame graph analysis.
  • Working knowledge of AWS and Infrastructure as Code concepts, with hands-on exposure to technologies such as Terraform or CloudFormation considered valuable.
  • Experience with a production fleet, IoT platform, embedded device, or hardware appliance is strongly preferred.
  • Additional experience with C, C++, or Go, as well as eBPF, netfilter, HAProxy, or Envoy, is highly desirable.
  • Familiarity with RADIUS and observability technologies such as CloudWatch, Splunk, or SLO-based monitoring is a plus.
  • Strong analytical and problem-solving skills, with the ability to investigate issues across hardware, operating systems, networking, and cloud infrastructure.
  • Ability to take ownership of complex technical problems and work effectively in a distributed engineering environment.

Benefits

  • Remote work opportunity based in India.
  • Direct-hire, full-time position with the opportunity to work on core embedded and networking infrastructure.
  • Significant technical ownership across Rust, embedded Linux, networking, hardware appliances, and AWS.
  • Opportunity to build software deployed at scale across thousands of real-world environments.
  • Exposure to challenging systems engineering problems involving performance, reliability, networking, and constrained computing.
  • Collaboration with distributed engineering and product teams across India, the United States, and the United Kingdom.
  • Inclusive, equal-opportunity work environment with consideration for qualified candidates regardless of legally protected characteristics.
  • Opportunity to contribute to technology supporting safer and more effective digital environments for K-12 education.

How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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